cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mjg877mkby
title: Toxin candidates identified by DeTox in the paired-end transcriptome of the false black coral Savalia savaglia

description: This dataset contains relevant outputs containing toxin candidates identified by “DeTox: a pipeline for the detection of toxins in venomous organisms” applied to the paired-end transcriptome outputs from the RNAseq analyses of the false black coral Savalia savaglia. In addition to the toxin candidate files, this dataset now includes intermediate DeTox outputs. The dataset includes the following files:

• DeTox_output_Ss_PE_candidate_toxins.fasta: FASTA file containing sequences of toxin candidates identified in the paired-end transcriptome of the false black coral Savalia savaglia.

• DeTox_output_Ss_PE_toxins.tsv: TSV file providing detailed annotations and information on the toxin candidates detected in the paired-end transcriptome of the false black coral Savalia savaglia.

• DeTox_output_Ss_PE.faa – amino acid sequences of all ORFs predicted by DeTox (via orfipy) from the paired-end transcriptome.

• DeTox_output_Ss_PE.clustered.faa – non-redundant amino acid sequences obtained by clustering DeTox_output_Ss_PE.faa with CD-HIT at 0.99 sequence identity.

• DeTox_output_Ss_PE.orfs_dna.fa – nucleotide sequences of the ORFs corresponding 1:1 to the proteins in DeTox_output_Ss_PE.faa (same ORF IDs), provided to allow inspection of start/stop codons and coding sequence context.
DOI: 10.17632/mjg877mkby.4
title: Toxin candidates identified by DeTox in the paired-end transcriptome of the false black coral Savalia savaglia

description: This dataset contains relevant outputs containing toxin candidates identified by “DeTox: a pipeline for the detection of toxins in venomous organisms” applied to the paired-end transcriptome outputs from the RNAseq analyses of the false black coral Savalia savaglia. In addition to the toxin candidate files, this dataset now includes intermediate DeTox outputs. The dataset includes the following files:

• DeTox_output_Ss_PE_candidate_toxins.fasta: FASTA file containing sequences of toxin candidates identified in the paired-end transcriptome of the false black coral Savalia savaglia.

• DeTox_output_Ss_PE_toxins.tsv: TSV file providing detailed annotations and information on the toxin candidates detected in the paired-end transcriptome of the false black coral Savalia savaglia.

• DeTox_output_Ss_PE.faa – amino acid sequences of all ORFs predicted by DeTox (via orfipy) from the paired-end transcriptome.

• DeTox_output_Ss_PE.clustered.faa – non-redundant amino acid sequences obtained by clustering DeTox_output_Ss_PE.faa with CD-HIT at 0.99 sequence identity.

• DeTox_output_Ss_PE.orfs_dna.fa – nucleotide sequences of the ORFs corresponding 1:1 to the proteins in DeTox_output_Ss_PE.faa (same ORF IDs), provided to allow inspection of start/stop codons and coding sequence context.
DOI: 10.5281/zenodo.13956027
title: Refractive index determination of dynamic droplets in a flow by analyzing light scattering signals with a machine learning approach

description: This container provides the measurement data, Python resources, and trained model weights associated with the scientific work that will be presented in 2025 at the Turbulence, Heat and Mass Transfer 11 conference in Tokyo.

The following data files are included:





Dataset_40_4ch1234.rar(unpacked: Dataset_40_4ch1234.pth)




M1_SegmentsTHR40.csv




SegmentsTHR40.rar(unpacked: M1_SegmentsTHR40.csv … M55_SegmentsTHR40.csv)




Model_weights_4ch1234.pth



File descriptions





Dataset_40_4ch1234.pthPyTorch file containing a ready-to-use dataset of four-channel light-scattering signals, preprocessed for direct use in the accompanying Python scripts.




M1_SegmentsTHR40.csvExample file illustrating the format used to store and load light-scattering signals of individual droplets together with auxiliary information. The columns are:





MID – measurement ID




FID – frame ID




SID – signal ID




CID – channel ID




NOP – number of parts




PNM – part number




TCH – trigger channel




TLE – trigger level




TID – trigger ID




CON – label used for training






SegmentsTHR40.rarArchive containing multiple .csv files (M1_SegmentsTHR40.csv … M55_SegmentsTHR40.csv) in the same format as described above. Together, these files form the full segmented signal dataset.




Model_weights_4ch1234.pthPyTorch file containing the trained weights of the neural network model based on data from all four detector channels.



External code repository

The corresponding code repository for this dataset is hosted on Azure DevOps:https://dev.azure.com/ai-quanton/PBa202

This repository contains the Python script used to build, train, and evaluate a neural network that determines the refractive index of single droplets by analyzing light-scattering signals generated as the droplets pass through a Gaussian laser beam. The model is designed to predict refractive indices from time-resolved light-scattering data in dynamic spray environments with high accuracy.
DOI: 10.5281/zenodo.13956026
title: Refractive index determination of dynamic droplets in a flow by analyzing light scattering signals with a machine learning approach

description: This container provides the measurement data, Python resources, and trained model weights associated with the scientific work that will be presented in 2025 at the Turbulence, Heat and Mass Transfer 11 conference in Tokyo.

The following data files are included:





Dataset_40_4ch1234.rar(unpacked: Dataset_40_4ch1234.pth)




M1_SegmentsTHR40.csv




SegmentsTHR40.rar(unpacked: M1_SegmentsTHR40.csv … M55_SegmentsTHR40.csv)




Model_weights_4ch1234.pth



File descriptions





Dataset_40_4ch1234.pthPyTorch file containing a ready-to-use dataset of four-channel light-scattering signals, preprocessed for direct use in the accompanying Python scripts.




M1_SegmentsTHR40.csvExample file illustrating the format used to store and load light-scattering signals of individual droplets together with auxiliary information. The columns are:





MID – measurement ID




FID – frame ID




SID – signal ID




CID – channel ID




NOP – number of parts




PNM – part number




TCH – trigger channel




TLE – trigger level




TID – trigger ID




CON – label used for training






SegmentsTHR40.rarArchive containing multiple .csv files (M1_SegmentsTHR40.csv … M55_SegmentsTHR40.csv) in the same format as described above. Together, these files form the full segmented signal dataset.




Model_weights_4ch1234.pthPyTorch file containing the trained weights of the neural network model based on data from all four detector channels.



External code repository

The corresponding code repository for this dataset is hosted on Azure DevOps:https://dev.azure.com/ai-quanton/PBa202

This repository contains the Python script used to build, train, and evaluate a neural network that determines the refractive index of single droplets by analyzing light-scattering signals generated as the droplets pass through a Gaussian laser beam. The model is designed to predict refractive indices from time-resolved light-scattering data in dynamic spray environments with high accuracy.
DOI: 10.17632/xsch4ysfsn.1
title: Programming of the respiratory epithelium in utero - insight from the amniotic epithelial methylome

description: Background: Dysregulation of the airway epithelium contributes to recurrent wheezing and asthma and may have developmental origins. Here, we investigated the relationship between the placental amniotic and nasal epithelial methylation landscapes to determine whether amniotic epithelium provides insight into fetal programming of respiratory tissue. Methods: We conducted high-throughput target-capture DNA methylation sequencing of 84 matched pairs of placental amniotic and neonatal nasal brushings samples within the Airway Epithelium Respiratory Illnesses and Allergy (AERIAL) cohort. Comparative analysis of tissue-specific methylation profiles, and conservation of methylation changes associated with gestational exposures (maternal smoking and maternal asthma), was explored. 

Results: Between amniotic and nasal tissues, we identified 4,897 differentially methylated regions (FDR ≤ 0.05 and log2FC &gt; |0.2|) that were generally hypermethylated in the nasal epithelium. Despite these extensive tissue-specific differences, filtering for loci with non-significant differential methylation (FDR &gt; 0.1) revealed 1,493,976 CpG loci (~ 20% of the measured methylome) with highly concordant methylation ratios levels between tissues (Pearson′s R &gt; 0.8). These loci included genes crucial to epithelial and lung development. Within these conserved regions, associations with maternal asthma and prenatal smoking were consistently represented in both tissues. 

Conclusions: The conserved methylome signatures support the use of amniotic tissue as a valuable tissue for investigating the developmental programming of airway vulnerability, potentially leading to early risk stratification and targeted interventions for childhood asthma.
DOI: 10.17632/ssbpfyz68m.2
title: Replication Data for NATO's Intervention in Libya and Its Spillover effect in the Sahel

description: This repository contains the data underlying the results of a study on NATO's Intervention in Libya and the Rise of Violent Armed Conflicts in the Sahel Region. It also contains some information about the data sources, their description as well as the measurement of the variables of interest.
DOI: 10.17632/bhscx3g5fc.3
title: EnP1 exploits H2Aub-dependent epigenetic reprogramming to promote microsporidia proliferation in host cells

description: Microsporidia, as opportunistic parasitic pathogens, constitute a formidable threat to human health. Although the regulatory circuitry of the nucleus-targeted effector EnP1 remains highly intricate and only partially characterized, our study identifies histone H2A as a novel binding partner of EnP1. Furthermore, we demonstrate that both EnP1 overexpression and microsporidia infection induce monoubiquitination of H2A (H2Aub) through downregulation of BAP1 expression. Subsequent mechanistic analyses revealed that elevated H2Aub levels positively correlate with enhanced microsporidian proliferation, whereas attenuation of H2Aub markedly suppresses pathogen expansion. Furthermore, EnP1 orchestrates the enrichment of H2Aub at the SLC7A11 promoter, driving its transcriptional upregulation. Collectively, these findings underscore that EnP1 modulates the ferroptosis state of host cells through H2Aub-mediated epigenetic reprogramming, ultimately facilitating pathogen propagation. This study endeavors to elucidate the critical survival strategies of microsporidia within host cells mediated by EnP1 and to unravel the multifaceted interplay between these pathogens and their hosts. The raw experimental data, including complex structure prediction, immunoblotting results, and statistical analyses, are contained in PDF/Excel files named according to their corresponding figure order.
DOI: 10.15468/dl.7pk7ev
title: Occurrence Download

description: A dataset containing 421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tomopteris planktonis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 421 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040064-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.sjsu3j
title: Ecological and Morphological Traits Determine Community-Wide Responses of Birds to Climate Change in a Tropical Dry Forest

description: Summary of data used in [paper](https://doi.org/10.1111/jbi.70026) (dn)
DOI: 10.15468/xj0ikb
title: ABV - Common breeding birds in Flanders, Belgium

description: The ABV breeding birds dataset is a sample based dataset contains more than 4500 human observation events with over 200 000 common breeding bird observations. The breeding birds project is a joint initiative of the Institute for Nature and Forest Research (INBO) and the Vlaamse Vogelwerkgroep of Natuurpunt, in collaboration with Natuurpunt Study.The data is collected to discover trends in long term breeding bird occurrences in Flanders and is used for the EU reporting on trends, distribution and future prospects of the species listed in the Annex 2 and 4 of the Habitats Directive.
DOI: 10.17632/d8sf3wc74p
title: Complex Emotion Recognition in Neurological and Neurodevelopmental Conditions Dataset

description: This dataset contains the results of a clinical validation study using the Cognition of Social Interaction in Movies screening tool (COSIMO; https://cosimo-project.com) for participants with temporal lobe epilepsy, multiple sclerosis, autism spectrum disorder, attention deficit hyperactivity disorder, and healthy participants. Participants completed the test online, either at their own leisure or during a routine neuropsychological assessment. The data has been cleaned and any potentially identifying information removed. We anticipated that all groups, including healthy participants aged 65 and older, would score significantly lower than healthy controls. A peer-reviewed publication of the results is pending, but a preprint can be found at https://www.medrxiv.org/content/10.64898/2025.11.26.25341046v2.
DOI: 10.17632/d8sf3wc74p.1
title: Complex Emotion Recognition in Neurological and Neurodevelopmental Conditions Dataset

description: This dataset contains the results of a clinical validation study using the Cognition of Social Interaction in Movies screening tool (COSIMO; https://cosimo-project.com) for participants with temporal lobe epilepsy, multiple sclerosis, autism spectrum disorder, attention deficit hyperactivity disorder, and healthy participants. Participants completed the test online, either at their own leisure or during a routine neuropsychological assessment. The data has been cleaned and any potentially identifying information removed. We anticipated that all groups, including healthy participants aged 65 and older, would score significantly lower than healthy controls. A peer-reviewed publication of the results is pending, but a preprint can be found at https://www.medrxiv.org/content/10.64898/2025.11.26.25341046v2.
DOI: 10.17026/ar/q4vcoe
title: PAN-00181871 - early medieval enamelled disc brooch variant A1

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00181871&lt;/p&gt;
description: Modified: 2025-10-30T12:29:38+01:00
DOI: 10.17632/z24ggxmg5f.2
title: Modular Open-Source Stirred Tank Reactor (MOSTR)

description: This repository contains data related to the open-source, Internet of Things (IoT)-enabled Modular Open-Source Stirred Tank Reactor (MOSTR), developed for teaching chemical engineering principles such as residence time distribution, flow balancing, and process instrumentation within higher education laboratories. The system is designed as a low-cost, educational informed, modular alternative to commercial teaching units and allows the simultaneous deployment of multiple rigs to enhance engagement and inclusivity in practical learning at scale. The reactor integrates an M5Stack-based control unit with flow, temperature and conductivity sensing and real-time data streaming via wi-fi and Virtual Machine (VM) server infrastructure. The design emphasizes open source reproducibility using accessible fabrication techniques such as 3D printing and prioritises maintainability and pedagogical alignment. All design files, firmware, and documentation are shared under a CC BY 4.0 licence to support adoption and adaptation in open engineering education.
DOI: 10.15468/dl.gvk4fe
title: Occurrence Download

description: A dataset containing 535 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Licania littoralis"
 ]
}

 The dataset includes 535 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040066-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u7sez3
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((106.82 33.81,110.4 33.81,110.4 34.61,106.82 34.61,106.82 33.81))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ciconia nigra",
 "Year 2023-2025"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040065-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17855892
title: Denbi Virtual Machine Startup Log Data Labelled For Anomaly Detection (Systemd)

description: This repository contains systemd log data gathered from started instances in the de.NBI OpenStack Cloud Bielefeld. They are labelled for log anomaly detection. Those files in abnormal_without_dhcp contain anomalies as they were started without a dhcp. Those within normal have a dhcp.

The data can be used to train log anomaly detection models.
DOI: 10.5281/zenodo.17855893
title: Denbi Virtual Machine Startup Log Data Labelled For Anomaly Detection (Systemd)

description: This repository contains systemd log data gathered from started instances in the de.NBI OpenStack Cloud Bielefeld. They are labelled for log anomaly detection. Those files in abnormal_without_dhcp contain anomalies as they were started without a dhcp. Those within normal have a dhcp.

The data can be used to train log anomaly detection models.
DOI: 10.18150/4rka98
title: Pullout of suction caisson at different velocities: photoelastic tests in a geotechnical centrifuge

description: Data from the experiments aim to visualise the force chain network in the granular assembly and its evolution induced by the pullout of the suction caisson. Different pullout velocities are tested to examine their influence on the value of the pullout force as a function of pullout displacement.
DOI: 10.15468/dl.92v9wj
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tomopteris poliglandulata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040067-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/n6wdvz5n3d
title: PromptShield: A Human-Annotated Dataset for Prompt Injection Safety Classification

description: PromptShield is a human-annotated dataset designed to support research on prompt injection detection, adversarial prompting behavior, and safety classification in Large Language Models (LLMs). The dataset contains 3,000 cleaned prompt instances, collected from an original pool of 4,000 samples and refined through manual screening to remove duplicates, sensitive content, and incomplete entries. Each prompt is labeled independently by three trained annotators using a standardized guideline, resulting in four label fields: three annotator labels and one majority-vote final label. The dataset includes three risk categories: (Benign) normal user intent (Suspicious)ambiguous or potentially harmful intent (Malicious) explicit attempts to bypass safety mechanisms or manipulate system behavior Each instance also contains an attack_type field, identifying adversarial strategies such as meta-querying, instruction manipulation, role exploitation, or system-prompt inversion. Additionally, every entry includes a short rationale that explains the annotator’s decision, supporting research in explainable AI and human–model alignment. The dataset is stored in a single CSV file with structured columns covering prompt text, annotation labels, metadata, annotator rationales, and reviewer identifiers. This format enables broad utility in supervised classification, adversarial robustness analysis, annotation reliability studies, and the development of Human-in-the-Loop (HITL) safety systems. write latex format for mendealy data description
DOI: 10.17632/n6wdvz5n3d.2
title: PromptShield: A Human-Annotated Dataset for Prompt Injection Safety Classification

description: PromptShield is a human-annotated dataset designed to support research on prompt injection detection, adversarial prompting behavior, and safety classification in Large Language Models (LLMs). The dataset contains 3,000 cleaned prompt instances, collected from an original pool of 4,000 samples and refined through manual screening to remove duplicates, sensitive content, and incomplete entries. Each prompt is labeled independently by three trained annotators using a standardized guideline, resulting in four label fields: three annotator labels and one majority-vote final label. The dataset includes three risk categories: (Benign) normal user intent (Suspicious)ambiguous or potentially harmful intent (Malicious) explicit attempts to bypass safety mechanisms or manipulate system behavior Each instance also contains an attack_type field, identifying adversarial strategies such as meta-querying, instruction manipulation, role exploitation, or system-prompt inversion. Additionally, every entry includes a short rationale that explains the annotator’s decision, supporting research in explainable AI and human–model alignment. The dataset is stored in a single CSV file with structured columns covering prompt text, annotation labels, metadata, annotator rationales, and reviewer identifiers. This format enables broad utility in supervised classification, adversarial robustness analysis, annotation reliability studies, and the development of Human-in-the-Loop (HITL) safety systems. write latex format for mendealy data description
DOI: 10.17632/ds3582v368
title: Annex to "Background Values of Trace Metals in the Soil of the Katangan Copperbelt, DR Congo" : https://doi.org/10.25928/5xn1-qq47

description: This dataset compiles measurements of metals in soils collected across the Katangan Copperbelt in the Democratic Republic of Congo. The samples were taken from two soil layers (0-25 cm and 25-50 cm) and systematically classified by lithostratigraphic unit. For each sampling point, the dataset includes geographic coordinates, field observations, and concentrations of a broad suite of elements such as As, Co, Cu, Mn, Ni, Pb, Zn. 
Beyond raw concentrations, the dataset provides an interactive map that brings together all results. Users can select the trace metal of interest (e.g. Cu, Co) and the soil horizon (topsoil: 0–25 cm; subsoil: 25–50 cm), access summary statistics (50th and 90th percentiles, mean, standard deviation, coefficient of variation) and display spatial distribution maps for the Katangan Copperbelt. The interface allows users to query a point by GPS coordinates and view the pedo-geochemical background values and other statistics of the lithostratigraphic unit in which that point lies. It also supports map export for direct inclusion in reports. Available in French, English and German, this interactive map improves accessibility and uptake by stakeholders.