cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17774859
title: Raw Peptide sequences

description: White lupin (Lupinus albus) is a food source with high protein content and is an important alternative for increasing its use as a functional food in improving health and sustainable nutrition. The aim of this study is to investigate the effects of different cooking methods on allergenic proteins and to evaluate the bioaccessibility of proteins by applying different cooking methods to local lupin seeds grown in our country. Different cooking techniques (boiling, microwave, fermentation, enzyme treatment) were applied to local white lupin seeds. Samples were subjected to proteolytic treatment using in vitro gastrointestinal system procedure and standard proteases. LC-MS/MS (Liquid Chromatography-Mass Spectrometry) was used and in silico analyses were performed to reach the peptide sequences of the proteins. Enzymatic and fermentation processes generated more peptides and allergenic matches after in vitro digestion compared to boiling and microwave treatments. No peptide was detected in only one cooking method. These findings indicate that enzyme and fermentation processes may play a decisive role in the emergence of some unique peptides in both samples. The observation of more matches in the samples subjected to the in vitro gastrointestinal system model in the AllergenOnline match and the fewer matches in the AllerTOP match suggest that these models processed the digestion process give results closer to allergenic peptides that may occur in real biological environments. This study reveal the allergenic potential changes of lupin proteins depending on the processing methods and provides the basis for functional food development studies.

This dataset contains the peptide sequences and LC-MS/MS analysis data supporting the research article titled Impact of Thermal and Biotechnological Processing on the Bioaccessibility and Allergenic Peptide Profile of White Lupin (Lupinus albus).
DOI: 10.5281/zenodo.17774860
title: Raw Peptide sequences

description: White lupin (Lupinus albus) is a food source with high protein content and is an important alternative for increasing its use as a functional food in improving health and sustainable nutrition. The aim of this study is to investigate the effects of different cooking methods on allergenic proteins and to evaluate the bioaccessibility of proteins by applying different cooking methods to local lupin seeds grown in our country. Different cooking techniques (boiling, microwave, fermentation, enzyme treatment) were applied to local white lupin seeds. Samples were subjected to proteolytic treatment using in vitro gastrointestinal system procedure and standard proteases. LC-MS/MS (Liquid Chromatography-Mass Spectrometry) was used and in silico analyses were performed to reach the peptide sequences of the proteins. Enzymatic and fermentation processes generated more peptides and allergenic matches after in vitro digestion compared to boiling and microwave treatments. No peptide was detected in only one cooking method. These findings indicate that enzyme and fermentation processes may play a decisive role in the emergence of some unique peptides in both samples. The observation of more matches in the samples subjected to the in vitro gastrointestinal system model in the AllergenOnline match and the fewer matches in the AllerTOP match suggest that these models processed the digestion process give results closer to allergenic peptides that may occur in real biological environments. This study reveal the allergenic potential changes of lupin proteins depending on the processing methods and provides the basis for functional food development studies.

This dataset contains the peptide sequences and LC-MS/MS analysis data supporting the research article titled Impact of Thermal and Biotechnological Processing on the Bioaccessibility and Allergenic Peptide Profile of White Lupin (Lupinus albus).
DOI: 10.14278/rodare.4146
title: (Dissertation data) Investigation on the surface properties of ultra-fine particles and developing the separation processes for a proton exchange membrane water electrolysis system recycling

description: Data for dissertation 

<strong>M.Sc Sohyun Ahn</strong>

<strong>Title: Investigation on the surface properties of ultra-fine particles and developing the separation processes for a proton exchange membrane water electrolysis system recycling</strong>

To the Faculty of Mechanical, Process and Energy Engineering of the Technical University Bergakademie Freiberg

Year: 2025
DOI: 10.14278/rodare.4147
title: (Dissertation data) Investigation on the surface properties of ultra-fine particles and developing the separation processes for a proton exchange membrane water electrolysis system recycling

description: Data for dissertation 

<strong>M.Sc Sohyun Ahn</strong>

<strong>Title: Investigation on the surface properties of ultra-fine particles and developing the separation processes for a proton exchange membrane water electrolysis system recycling</strong>

To the Faculty of Mechanical, Process and Energy Engineering of the Technical University Bergakademie Freiberg

Year: 2025
DOI: 10.34740/kaggle/dsv/13941722
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.71853/e8xn-xa44
title: Implementation of ICT Technologies and Tools in Relation to BPM Maturity in the Automotive Sector

description: <p><span style="color:rgb( 0 , 0 , 0 )">The attached dataset contains responses from 34 entities operating in the automotive sector in Poland. All entities were car dealerships. The questionnaire was directed to representatives responsible for new-car sales within these dealerships. The dataset includes responses from the 34 units that agreed to participate in the study.</span></p>
description: <p><strong>Method:</strong> Survey-based opinion research</p><p><strong>Technique:</strong> CAWI (Computer-Assisted Web Interviewing)</p><p><strong>Questionnaire distribution tool:</strong> Microsoft Forms (University server)</p><p><strong>Survey link:</strong> <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id&#61;7FC5suMenU2sXk3Z214LczfVRsaGc8FLiusuDuTYqNlUNkNJM1hSRkFKV1BNOTJZRUJJVUVSTDc0Ni4u" target="_blank" rel="nofollow noopener noreferrer">Technologie ICT wspierające procesy sprzedaży nowych samochodów w ASO w Polsce – Wypełnij formularz</a></p><p><strong>Sample:</strong> Pilot study, <em>N</em> &#61; 34</p><p><strong>Population:</strong> Dealerships in Poland (Car Dealerships, sales processes)</p><p><strong>Sampling technique:</strong> Non-random (non-probability)</p><p><strong>Sampling method:</strong> Convenience sampling</p>
DOI: 10.58032/agh/ei7qtg
title: Benchmark simulations of elastic problems using a Cosserat-enhanced Non-Ordinary State-Based Peridynamics model

description: This dataset contains numerical results from simulations of elastic problems performed using a Cosserat-enhanced Non-Ordinary State-Based Peridynamics (SCPD) model. Three benchmark cases are included: uniaxial tension, simple bending, and uniaxial tension of a plate with a circular hole. In all cases, a rectangular plate of dimensions 20 × 20 mm is analysed under plane stress conditions.
The data were generated using the Julia Peridynamics package combined with a dynamic relaxation time-integration algorithm. The computational domain was discretized using uniform grid spacings of 0.25, 0.5, and 1.0 mm. Simulations were carried out for various values of the internal material length-scale parameter (see related publication) to examine its influence on displacement fields, stress fields, and couple-stress distributions.
Material parameters were set to Young’s modulus E = 210 GPa and Poisson’s ratio ν = 0.3. The dataset provides benchmark solutions useful for validating advanced peridynamic models and studying size-dependent behaviour in elastic solids.
DOI: 10.15468/dl.2ybvu3
title: Occurrence Download

description: A dataset containing 2897 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((9.35 0.3,9.5 0.3,9.5 0.5,9.35 0.5,9.35 0.3))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Passeriformes",
 "Year 2002-2024"
 ]
}

 The dataset includes 2897 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019894-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.14025
title: EmoEEG-MC: A Multi-Context Emotional EEG Dataset for Cross-Context Emotion Decoding
title: EmoEEG-MC: A Multi-Context Emotional EEG Dataset for Cross-Context Emotion Decoding

description: We present the Multi-Context Emotional EEG (EmoEEG-MC) dataset, featuring 64-channel EEG and peripheral physiological data from 60 participants exposed to two distinct contexts: video-induced and imagery-induced emotions. These contexts evoke seven distinct emotional categories: joy, inspiration, tenderness, fear, disgust, sadness, and neutral emotion. The emotional experience of a specific emotion category was validated through subjective reports. The EmoEEG-MC dataset serves as a foundational resource for advancing cross-context emotion recognition and enhancing the real-world application of emotion decoding methods.
description: We present the Multi-Context Emotional EEG (EmoEEG-MC) dataset, featuring 64-channel EEG and peripheral physiological data from 60 participants exposed to two distinct contexts: video-induced and imagery-induced emotions. These contexts evoke seven distinct emotional categories: joy, inspiration, tenderness, fear, disgust, sadness, and neutral emotion. The emotional experience of a specific emotion category was validated through subjective reports. The EmoEEG-MC dataset serves as a foundational resource for advancing cross-context emotion recognition and enhancing the real-world application of emotion decoding methods.
DOI: 10.15468/dl.dw4hnq
title: Occurrence Download

description: A dataset containing 582 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Davidia involucrata"
 ]
}

 The dataset includes 582 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019895-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9tczcj
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Observation.org, Nature data from around the World, iNaturalist Research-grade Observations, Pl@ntNet automatically identified occurrences, Mammal records for Europe via the iMammalia app, Pl@ntNet observations)",
 "Geometry POLYGON((10.0639 53.67816,10.07111 53.67895,10.06477 53.69445,10.05809 53.69283,10.0639 53.67816))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 179 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019897-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tm6c9r
title: Occurrence Download

description: A dataset containing 8581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Europe",
 "TaxonKey is Potamogeton perfoliatus"
 ]
}

 The dataset includes 8581 records from 188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019896-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17674357
title: Experimental Results and Artifacts for: Predictively Controlling the Computing Continuum with Distributed Energy-Aware Orchestration (ARAPO)

description: Distributing computation across the Computing Continuum reduces latency and preserves data locality but introduces management complexity on heterogeneous, resource-constrained edge nodes. Traditional reactive orchestration triggers only after saturation occurs. Under bursty or high-density workloads, this latency leads to service degradation, instability, and inefficient energy usage. To address this, the Adaptive Resource-Aware Predictive Orchestrator (ARAPO) couples per-service local forecasting with calibrated node-level aggregation. It employs a dual-threshold policy based on predicted and observed load to trigger migrations, mapping CPU forecasts to power for energy-aware placement without external instrumentation. ARAPO is evaluated in a realistic hospital reference scenario under high-stress and high-density conditions. Results demonstrate that the system anticipates saturation in balanced workloads and provides a robust hybrid response under shock loads. Node-level forecasting achieves R² up to 0.86, while the power model tracks consumption with a mean absolute error as low as 0.40 W, validating its suitability as a lightweight, energy-efficient controller.

 
description: This dataset contains the experimental artifacts for the ARAPO framework. It includes result figures and a consolidated metrics log (.txt) detailing:





Prediction Accuracy: R2, MAE, and RMSE values for CPU and Power estimation per node and service.




Migration Events: Precise logs of migration triggers (Prediction vs. Threshold), duration, and service movements for every experimental run.
DOI: 10.15468/dl.7d7ccx
title: Occurrence Download

description: A dataset containing 557901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present",
 "StateProvince is Beijing",
 "TaxonKey is Animalia",
 "Year 2012-2023"
 ]
}

 The dataset includes 557901 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019889-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60776/twfaqo
title: The influence of reactive process atmospheres on the microstructure evolution of additively manufactured CP Titanium

description: Original Data storage for publication
DOI: 10.5281/zenodo.17775114
title: PubChemLite for Exposomics + predicted CCS from CCSbase - 28 Nov. 2025

description: PubChemLite is a subset of PubChem (https://pubchem.ncbi.nlm.nih.gov/) selected from major categories of the Table of Contents page at the PubChem Classification Browser (https://pubchem.ncbi.nlm.nih.gov/classification/#hid=72). This version of PubChemLite for Exposomics has predicted collision cross section (CCS) values for 11 adducts provided by Libin Xu and team at CCSbase (https://ccsbase.net/) calculated from the latest c3sdb code.

PubChemLite exposomics is compiled from 11 categories: AgroChemInfo, BioPathway, DrugMedicInfo, FoodRelated, PharmacoInfo, SafetyInfo, ToxicityInfo, KnownUse, DisorderDisease, Identification, ChemClass.

CCS adducts provided are: [M+H]+, [M-H]-, [M+Na]+, [M+K]+, [M+NH4]+, [M+H-H2O]+, [M+HCOO]-, [M+CH3COO]-, [M+Na-2H]-, [M]+, [M]-

Details on the CCS prediction are given here: Ross et al. (2020) Analytical Chemistry, DOI: 10.1021/acs.analchem.9b05772

PubChemLite is described in Schymanski et al. (2021) J. Cheminformatics, DOI: 10.1186/s13321-021-00489-0

An article describing these joint efforts is available: Elapavalore et al. (2025) ES&T Letters, DOI: 10.1021/acs.estlett.4c01003

PubChemCIDs have been collapsed by InChIKey first block, reporting the structure from the most annotated CID, plus related CIDs. Entries that will be ignored by MetFrag (salts, disconnected substances) or cause errors (e.g. transition metals) have been removed. The Patent and PubMed ID counts are extracted from files on the PubChem FTP site. The "AnnoTypeCount" term counts how many of the categories are represented, the subsequent column (named per category) counts the number of annotation categories available in the next sub-category of the TOC entry.

These files can be used "as is" as localCSV for MetFrag Command Line (https://ipb-halle.github.io/MetFrag/) - please do NOT upload these files directly to the web interface, they are too large and will be available in a drop-down menu.

Further details are described in Schymanski et al. (2021) DOI:10.1186/s13321-021-00489-0 and Elapavalore et al. (2025) DOI: 10.1021/acs.estlett.4c01003

NOTE: The latest PubChemLite for Exposomics version can be downloaded at DOI:10.5281/zenodo.5995885 (currently updating monthly). This file will be updated shortly after.  

Please cite this data source and Elapavalore et al. (2025) DOI: 10.1021/acs.estlett.4c01003 when using this dataset.
description: Please cite this data source, the CCSbase and PubChemLite papers when using this data! More details under DOI: 10.1021/acs.estlett.4c01003
DOI: 10.14473/csda/8czqig
title: SYRI Mladí muži 2025

description: Datový soubor obsahuje přepisy hloubkových rozhovorů s pěti mladými muži ve věku 18 až 29 let. Účelem výzkumu byla explorace postojů mladých mužů k politice, užívání sociálních médií a sledování zpravodajství, dále jejich představ o partnerském a rodinném životě a jejich postojů k roli mužů a žen v soukromém a veřejném životě. Rozhovory vznikly za účelem jejich využití při přípravě divadelní hry Za Muže! tvůrkyň Alice Koubové a Miřenky Čechové. Odkaz na web divadelního představení: https://tantehorse.cz/inscenace/44-za-muze
description: V roce 2025 budou dostupná pro tuto studii pouze metadata. Anonymizace dat bude posouzena a pokud bude proveditelná, budou data zveřejněna v roce 2026.
DOI: 10.15468/dl.qs9g6x
title: Occurrence Download

description: A dataset containing 3228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Odonata",
 "Year 1000-2019"
 ]
}

 The dataset includes 3228 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019898-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aatdr9
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((76.48350 20.89340,129.51650 20.89340,129.51650 42.10660,76.48350 42.10660,76.48350 20.89340))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Parapotamon"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019899-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nvkbnr
title: Occurrence Download

description: A dataset containing 276 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Triosteum sinuatum"
 ]
}

 The dataset includes 276 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019900-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wtm8h8
title: Occurrence Download

description: A dataset containing 239600 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sanguisorba minor",
 "HasCoordinate is true"
 ]
}

 The dataset includes 239600 records from 960 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019887-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.psych.00143
title: CPCSLD: A Lexical Database of Chinese Preschool Children’s Spoken Words
title: CPCSLD: A Lexical Database of Chinese Preschool Children’s Spoken Words

description: A lexical database of Chinese preschool children's spontaneous speech
description: A lexical database of Chinese preschool children's spontaneous speech
DOI: 10.13140/rg.2.2.20094.45129
title: Dynamic CSR Project Matching Program
DOI: 10.15468/dl.crwdjg
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Europe",
 "Country is Spain",
 "Geometry POLYGON((-3.85094 36.76218,-3.8463 36.76036,-3.83835 36.75976,-3.84033 36.76607,-3.84839 36.76671,-3.85094 36.76218))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 206 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019903-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2k4a9h
title: Occurrence Download

description: A dataset containing 17144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Odonata",
 "Year 1000-2025"
 ]
}

 The dataset includes 17144 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019902-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17157097
title: Dataset for: Analysis of Nonlinear Harmonics in Exchange-Dominated Spin Waves for Neuromorphic Computing
DOI: 10.5281/zenodo.17157098
title: Dataset for: Analysis of Nonlinear Harmonics in Exchange-Dominated Spin Waves for Neuromorphic Computing
DOI: 10.57745/gnasfs
title: Fig 1h reconvolved (script 2).png

description: :unav
DOI: 10.57745/uwfx75
title: Fig 1e (Origin file).oggu

description: :unav
DOI: 10.57745/dbljwr
title: Fig 1h reconvolved (script 1).png

description: :unav
DOI: 10.57745/fitelg
title: Fig 1h deconvolved (script 2).png

description: :unav
DOI: 10.57745/zmxggg
title: Fig 2b (Origin file).oggu

description: :unav
DOI: 10.57745/qewnju
title: Fig 3d.png

description: :unav
DOI: 10.57745/k9ulxj
title: raw data for Fig 3c.tif

description: :unav
DOI: 10.57745/bfwnaf
title: Fig 1g STML raw data.png

description: :unav
DOI: 10.57745/xxzz3c
title: Fig 3a.png

description: :unav
DOI: 10.57745/wopz1i
title: Fig 1g reconvolved (script 2).png

description: :unav
DOI: 10.57745/c4bgch
title: Fig 4c (Origin file).oggu

description: :unav
DOI: 10.57745/2zv9sk
title: RL deconvolution (Python code).txt

description: :unav
DOI: 10.57745/posu0b
title: Fig 3h.png

description: :unav
DOI: 10.57745/oerojx
title: Fig 3e.png

description: :unav
DOI: 10.57745/rhbmx6
title: Fig 1h deconvolved (script 1).png

description: :unav
DOI: 10.57745/slvs3v
title: Fig 3f.png

description: :unav
DOI: 10.57745/5vufqa
title: Fig 3i (Text Image).txt

description: :unav
DOI: 10.57745/bseb6g
title: Fig 4b (Origin file).oggu

description: :unav