cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kc6scb8dbf
title: Plasma Dataset of oldman 500

description: The dataset was obtained as part of a non-targeted blood plasma metabolome study using two-dimensional gas chromatography coupled with time-of-flight mass spectrometry (GC×GC–TOF-MS). The experiment included 500 biological samples, each of which was analysed in three technical replicates. 

Metabolite extraction was performed by adding 1 ml of extraction solvent (methanol:water, 8:2, v:v) to 30 μl of plasma, followed by vigorous shaking. The samples were centrifuged for 2 minutes at 20,000 rpm, after which 950 µl of supernatant was collected, completely dried in a SpeedVac concentrator, and sent for methoxymation and derivatisation according to the published protocol (DOI: 10.1002/0471142727.mb3004s114). A mixture of fatty acid methyl esters (FAME) was used as internal standards. After methoxylation, 91 µl of a FAME/MSTFA mixture prepared by adding 1 µl of MSTFA to 10 µl of FAME solution was added to each sample. 

Metabolomic profiling was performed using the LECO Pegasus BT-4D system, which includes an Agilent 7890B two-dimensional gas chromatograph, a time-of-flight mass spectrometer, and an L-PAL3 autosampler. Two-dimensional chromatography was performed on Rxi-5MS (29.7 m × 250 μm) and Rxi-17Sil MS (1.96 m × 250 μm) columns manufactured by Restek. The instrument was controlled and data were collected using ChromaTOF software (v.5.51.06.0.64572). Before starting the measurements, calibration was performed using PFTBA (FC43) and the system was checked for leaks. Sample injection (1 μl) was performed at an injector temperature of 250 °C in a 1:50 split mode (He 99.9999%). The initial oven temperature was 60 °C (1 min), followed by a gradient of 10 °C/min for 12 minutes. The GC×GC modulation period was 4 s (hot pulse — 1.2 s, cold — 0.8 s). The transfer line temperature was maintained at 280 °C. Ionisation was performed by electron impact (EI, 70 eV); mass spectra were recorded at a rate of 200 spectra/s in the m/z 40–700 range. To exclude non-informative compounds, a data recording delay of 350 seconds was used.
DOI: 10.17632/kc6scb8dbf.1
title: Plasma Dataset of oldman 500

description: The dataset was obtained as part of a non-targeted blood plasma metabolome study using two-dimensional gas chromatography coupled with time-of-flight mass spectrometry (GC×GC–TOF-MS). The experiment included 500 biological samples, each of which was analysed in three technical replicates. 

Metabolite extraction was performed by adding 1 ml of extraction solvent (methanol:water, 8:2, v:v) to 30 μl of plasma, followed by vigorous shaking. The samples were centrifuged for 2 minutes at 20,000 rpm, after which 950 µl of supernatant was collected, completely dried in a SpeedVac concentrator, and sent for methoxymation and derivatisation according to the published protocol (DOI: 10.1002/0471142727.mb3004s114). A mixture of fatty acid methyl esters (FAME) was used as internal standards. After methoxylation, 91 µl of a FAME/MSTFA mixture prepared by adding 1 µl of MSTFA to 10 µl of FAME solution was added to each sample. 

Metabolomic profiling was performed using the LECO Pegasus BT-4D system, which includes an Agilent 7890B two-dimensional gas chromatograph, a time-of-flight mass spectrometer, and an L-PAL3 autosampler. Two-dimensional chromatography was performed on Rxi-5MS (29.7 m × 250 μm) and Rxi-17Sil MS (1.96 m × 250 μm) columns manufactured by Restek. The instrument was controlled and data were collected using ChromaTOF software (v.5.51.06.0.64572). Before starting the measurements, calibration was performed using PFTBA (FC43) and the system was checked for leaks. Sample injection (1 μl) was performed at an injector temperature of 250 °C in a 1:50 split mode (He 99.9999%). The initial oven temperature was 60 °C (1 min), followed by a gradient of 10 °C/min for 12 minutes. The GC×GC modulation period was 4 s (hot pulse — 1.2 s, cold — 0.8 s). The transfer line temperature was maintained at 280 °C. Ionisation was performed by electron impact (EI, 70 eV); mass spectra were recorded at a rate of 200 spectra/s in the m/z 40–700 range. To exclude non-informative compounds, a data recording delay of 350 seconds was used.
DOI: 10.17632/8ffdk6ck5t
title: English Word Clippings: Ever-Flowing and Live Speech Fodder

description: I find it important to make a diachronic list of English clipped forms. From this list, it becomes possible for those who interested in historical development of English word clippings to study them in linguistics. All the examples are collected from published monolingual dictionaries.
DOI: 10.17632/8ffdk6ck5t.1
title: English Word Clippings: Ever-Flowing and Live Speech Fodder

description: I find it important to make a diachronic list of English clipped forms. From this list, it becomes possible for those who interested in historical development of English word clippings to study them in linguistics. All the examples are collected from published monolingual dictionaries.
DOI: 10.17632/dz4gdnx7h9
title: Unraveling the coordination isomerism by ligand hyperfine NMR shifts

description: 1H/13C 1D solution NMR spectra of paramagnetic RuCl_2L_2(acac) coordination compounds (isomers cis-Cl = EQ and trans-Cl = AX, 1: L=acn,2: L=PPh3 or 3: L=pyr), measured in CDCl3;
 powder EPR spectra of EQ2 and AX2
DOI: 10.17632/dz4gdnx7h9.1
title: Unraveling the coordination isomerism by ligand hyperfine NMR shifts

description: 1H/13C 1D solution NMR spectra of paramagnetic RuCl_2L_2(acac) coordination compounds (isomers cis-Cl = EQ and trans-Cl = AX, 1: L=acn,2: L=PPh3 or 3: L=pyr), measured in CDCl3;
 powder EPR spectra of EQ2 and AX2
DOI: 10.17632/y9bh58z9jf
title: Wetland cultivation restructures soil microbial communities and triggers soil multifunctionality collapse

description: Wetlands are major global carbon sinks, yet their widespread conversion to cropland alters soil carbon and nutrient dynamics, creating uncertainty about the net effects on soil multifunctionality. This dataset was collected from Changbai Mountain in Northeast China, focused on effect of cultivation on prokaryotic and eukaryotic communities and its effects on soil multifunctionality.
DOI: 10.17632/y9bh58z9jf.1
title: Wetland cultivation restructures soil microbial communities and triggers soil multifunctionality collapse

description: Wetlands are major global carbon sinks, yet their widespread conversion to cropland alters soil carbon and nutrient dynamics, creating uncertainty about the net effects on soil multifunctionality. This dataset was collected from Changbai Mountain in Northeast China, focused on effect of cultivation on prokaryotic and eukaryotic communities and its effects on soil multifunctionality.
DOI: 10.17632/fzxfdhrh2d
title: Systematic Review of State-Led Tourism Narratives

description: This data consist of all reviewed article for Systematic Review of State-Led Tourism Narratives
DOI: 10.17632/fzxfdhrh2d.1
title: Systematic Review of State-Led Tourism Narratives

description: This data consist of all reviewed article for Systematic Review of State-Led Tourism Narratives
DOI: 10.17632/gydhpktxjk
title: Test to Graph

description: This Excel Spreadsheet contains macros. It was developed to automate all the kinematic calculations for the LVI impact test.
İmportant Notes:
1. These codes were generated for the PCB M202B Quartz Force Ring sensor.
2. The LVI rig had a 15.5 kg mass impactor. If anyone uses a different value from the existing one, he/she must change the mass of the impactor. The password for the "Template" sheet is "a".
What’s new?
Import & Data Handling
• Removed Excel QueryTable import; replaced with a fully manual TXT import engine for deterministic two-column data ingestion.
• Eliminated all Excel regional dependency (decimal / thousand separators).
• Implemented locale-independent numeric parsing supporting both , and . decimals.
• Added post-import normalization to prevent magnitude scaling errors.
Template Integrity
• Enforced fixed two-leading-column data layout to prevent formula and chart misalignment.
• Prevented cumulative column drift during batch processing.
Input System
• Unified user input handling using a single Double standard.
• Added selectable analysis modes:
o Impact velocity–driven
o Impact energy–driven
• Automatic conversion between velocity and energy using kinetic energy relations.
• Default input values auto-extracted from test file names.
Signal Processing & Feature Extraction
• Robust computation of:
o Fmax, t(Fmax), Emax
o F1, t(F1), E1 (force–time discontinuity detection)
• Added fallback logic for extreme or noisy datasets.
• All extracted values written consistently to experiment sheets and summary table.
Summary Automation
• Automatic generation and population of a Summary worksheet containing all key impact metrics.
• All values extracted using locale-safe numeric readers.
Codebase Cleanup
• Removed legacy parsing routines, separator hacks, and duplicate helpers.
• Consolidated logic into reusable, defensive helper functions.
• Improved naming consistency and eliminated variable reuse conflicts.
Stability & Reproducibility
• Results are now fully reproducible across different Windows regional settings.
• No silent truncation, rounding, or formatting-induced data corruption.
DOI: 10.17632/gydhpktxjk.3
title: Test to Graph

description: This Excel Spreadsheet contains macros. It was developed to automate all the kinematic calculations for the LVI impact test.
İmportant Notes:
1. These codes were generated for the PCB M202B Quartz Force Ring sensor.
2. The LVI rig had a 15.5 kg mass impactor. If anyone uses a different value from the existing one, he/she must change the mass of the impactor. The password for the "Template" sheet is "a".
What’s new?
Import & Data Handling
• Removed Excel QueryTable import; replaced with a fully manual TXT import engine for deterministic two-column data ingestion.
• Eliminated all Excel regional dependency (decimal / thousand separators).
• Implemented locale-independent numeric parsing supporting both , and . decimals.
• Added post-import normalization to prevent magnitude scaling errors.
Template Integrity
• Enforced fixed two-leading-column data layout to prevent formula and chart misalignment.
• Prevented cumulative column drift during batch processing.
Input System
• Unified user input handling using a single Double standard.
• Added selectable analysis modes:
o Impact velocity–driven
o Impact energy–driven
• Automatic conversion between velocity and energy using kinetic energy relations.
• Default input values auto-extracted from test file names.
Signal Processing & Feature Extraction
• Robust computation of:
o Fmax, t(Fmax), Emax
o F1, t(F1), E1 (force–time discontinuity detection)
• Added fallback logic for extreme or noisy datasets.
• All extracted values written consistently to experiment sheets and summary table.
Summary Automation
• Automatic generation and population of a Summary worksheet containing all key impact metrics.
• All values extracted using locale-safe numeric readers.
Codebase Cleanup
• Removed legacy parsing routines, separator hacks, and duplicate helpers.
• Consolidated logic into reusable, defensive helper functions.
• Improved naming consistency and eliminated variable reuse conflicts.
Stability & Reproducibility
• Results are now fully reproducible across different Windows regional settings.
• No silent truncation, rounding, or formatting-induced data corruption.
DOI: 10.17632/72yrwcfy7y
title: Research on static and dynamic stiffness and damping characteristics of ship limiter

description: Research on static and dynamic stiffness and damping characteristics of ship limiter
DOI: 10.17632/72yrwcfy7y.2
title: Research on static and dynamic stiffness and damping characteristics of ship limiter

description: Research on static and dynamic stiffness and damping characteristics of ship limiter
DOI: 10.17632/dc43f9zm8x
title: Performance-driven optimization of CO₂ storage with enhanced gas recovery in a depleted gas reservoir: Insights from the Qiongdongnan Basin, South China Sea

description: A reservoir model incorporating four reservoir gases was built based on the field information of the offshore depleted Ya 13-1 gas field in the Qiongdongnan Basin, China. The model adopted two well configurations, four stages framework to optimized the strategy of CSEGR by TOUGH + RealGasBrine. These data include the mass flow rates of CH4, C2H6, CO2 and N2 for different CASE production wells, as well as the processing of related data, such as recovery rate and shut-in time.
DOI: 10.17632/dc43f9zm8x.1
title: Performance-driven optimization of CO₂ storage with enhanced gas recovery in a depleted gas reservoir: Insights from the Qiongdongnan Basin, South China Sea

description: A reservoir model incorporating four reservoir gases was built based on the field information of the offshore depleted Ya 13-1 gas field in the Qiongdongnan Basin, China. The model adopted two well configurations, four stages framework to optimized the strategy of CSEGR by TOUGH + RealGasBrine. These data include the mass flow rates of CH4, C2H6, CO2 and N2 for different CASE production wells, as well as the processing of related data, such as recovery rate and shut-in time.
DOI: 10.17632/gk3h2b8g2p
title: Genome assembly and annotation of Cucumis melo L. var. chate
DOI: 10.17866/rd.salford.31281310
title: Users' reviews on Google Play and Apple Store Platforms

description: This research investigates UK household engagement with a smart energy mobile application using a mixed-methods approach. Publicly available user reviews (n = 16,751) were collected from the Apple App Store and Google Play (2015–2025) via AppFollow’s API. Quantitative analysis examined review volume, ratings, seasonality, and correlations with energy prices. Qualitative analysis applied Natural Language Processing techniques, including TF-IDF word analysis, RoBERTa-based sentiment analysis, and BERTopic topic modelling, implemented in Python. Only UK-based, English-language reviews were analysed. As the study used anonymised, publicly accessible data, no ethical approval or informed consent was required, in line with UK research ethics guidance.
DOI: 10.17866/rd.salford.31281310.v1
title: Users' reviews on Google Play and Apple Store Platforms

description: This research investigates UK household engagement with a smart energy mobile application using a mixed-methods approach. Publicly available user reviews (n = 16,751) were collected from the Apple App Store and Google Play (2015–2025) via AppFollow’s API. Quantitative analysis examined review volume, ratings, seasonality, and correlations with energy prices. Qualitative analysis applied Natural Language Processing techniques, including TF-IDF word analysis, RoBERTa-based sentiment analysis, and BERTopic topic modelling, implemented in Python. Only UK-based, English-language reviews were analysed. As the study used anonymised, publicly accessible data, no ethical approval or informed consent was required, in line with UK research ethics guidance.
DOI: 10.17632/gk3h2b8g2p.1
title: Genome assembly and annotation of Cucumis melo L. var. chate
DOI: 10.5284/1139398
title: Digital Archive from an Excavation at Aston Children's Home (Phase 2), Aston, Oxfordshire, August-November 2022

description: This collection consists of text data, images, spreadsheets, GIS data and site records from an excavation carried out by Oxford Archaeology between August and November 2022 on the site of a proposed development that includes the construction of a single storey dwelling for use as a Children's Home in Aston, Oxfordshire.
DOI: 10.5281/zenodo.18594830
title: Binary Decision Diagrams for feature models in the Universal Variability Language

description: This repository contains the scripts to build the dataset BDDs derived from feature models expressed in UVL from the FM Benchmark dataset.
DOI: 10.5281/zenodo.18594831
title: Binary Decision Diagrams for feature models in the Universal Variability Language

description: This repository contains the scripts to build the dataset BDDs derived from feature models expressed in UVL from the FM Benchmark dataset.
DOI: 10.17632/fthdczkxzy
title: Static and Dynamic Stiffness and Damping Characteristics of Ship Limiters

description: Static and Dynamic Stiffness and Damping Characteristics of Ship Limiters
DOI: 10.17632/fthdczkxzy.1
title: Static and Dynamic Stiffness and Damping Characteristics of Ship Limiters

description: Static and Dynamic Stiffness and Damping Characteristics of Ship Limiters
DOI: 10.17632/dmz6mv9z9s
title: Data and codes for "Accelerating electrode optimization for Alkaline Water Splitting with SECCM and SEM/EDX for a Ni-Co gradient alloy"
DOI: 10.17632/dmz6mv9z9s.1
title: Data and codes for "Accelerating electrode optimization for Alkaline Water Splitting with SECCM and SEM/EDX for a Ni-Co gradient alloy"
DOI: 10.17632/gyydr784hz
title: Warrangamba prescribed fire

description: A dataset of results obtained in thermogravimetry and calorimetry (TG-DSC) together with 13C-NMR of soils collected in Warrangamba (Australia) after a prescribed fire
DOI: 10.17632/gyydr784hz.1
title: Warrangamba prescribed fire

description: A dataset of results obtained in thermogravimetry and calorimetry (TG-DSC) together with 13C-NMR of soils collected in Warrangamba (Australia) after a prescribed fire
DOI: 10.17632/sc425znwjy
title: Developing a Subjective Tool to Assess Social Capital in Rural Agrarian Communities: A Psychometric Approach

description: The dataset comes from a household survey conducted with 205 adults from Dankanda and Pitawala areas in the Knuckles Region of the Matale District, Sri Lanka. Data were collected through face-to-face interviews. The survey includes Likert-scale questions measuring shared identity, networks and norms of reciprocity, two dimensions of trust: general trust and trust on livelihood transactions, and group efficacy, which was used for calculating predictive validity. The questions were designed to reflect local social and livelihood conditions.
DOI: 10.17632/sc425znwjy.1
title: Developing a Subjective Tool to Assess Social Capital in Rural Agrarian Communities: A Psychometric Approach

description: The dataset comes from a household survey conducted with 205 adults from Dankanda and Pitawala areas in the Knuckles Region of the Matale District, Sri Lanka. Data were collected through face-to-face interviews. The survey includes Likert-scale questions measuring shared identity, networks and norms of reciprocity, two dimensions of trust: general trust and trust on livelihood transactions, and group efficacy, which was used for calculating predictive validity. The questions were designed to reflect local social and livelihood conditions.
DOI: 10.17632/7txj8jndmj
title: Soil and litter data
DOI: 10.17632/7txj8jndmj.1
title: Soil and litter data
DOI: 10.17632/dffhsy4n2h
title: Organ Donors Knowledge in Students

description: Qualitative data research
DOI: 10.17632/dffhsy4n2h.1
title: Organ Donors Knowledge in Students

description: Qualitative data research
DOI: 10.6084/m9.figshare.31305280
title: Driving Kelp Forest Restoration Success by Optimising Substrate and pH in Green Gravel Production

description: Dataset supplementary to the manuscript: "Driving Kelp Forest Restoration Success by Optimising Substrate and pH in Green Gravel Production"
DOI: 10.6084/m9.figshare.31305280.v1
title: Driving Kelp Forest Restoration Success by Optimising Substrate and pH in Green Gravel Production

description: Dataset supplementary to the manuscript: "Driving Kelp Forest Restoration Success by Optimising Substrate and pH in Green Gravel Production"
DOI: 10.5281/zenodo.18595323
title: Digital Maturity in Archival Institutions: A Web Performance and Traffic Analytics Dataset (2025)
title: SEO, Security, and Engagement: A Benchmark Dataset of 80 Archival Organizations Worldwide

description: The dataset delivers a two-stage assessment of the digital infrastructure and user engagement patterns of 80 archival institutions worldwide. Its basic aim is to benchmark the technical performance and market reach of cultural heritage websites. Data were systematically collected over a four-month period (June–September 2025), minimising the risk of seasonal bias. The dataset integrates technical auditing with behavioural analytics, providing a comprehensive index of institutional digital maturity.

The technical component was derived via the Checkbot auditing tool, which evaluated each domain against up to 70 discrete variables within three core domains. SEO, speed, and security. The resulting metrics yield granular insights into web optimization, spanning structural integrity, content accessibility, and cybersecurity protocols. Each institution receives aggregate scores for SEO, speed, and security, as well as a composite Total Website SEO Score, enabling robust comparative ranking and gap analysis of technical best practices.

one step further from the the technical audit, the dataset incorporates behavioral and traffic analytics from SimilarWeb, detailing user interaction through critical key performance indicators (KPIs) such as total visits, global rank, average visit duration, and bounce rate. Traffic acquisition is disaggregated by channel. That is direct, organic search, paid search, referral, social, and email. By integrating behavioural metrics with technical performance data, the dataset enables examination of the relationship between site optimisation and user retention, while also examining the effectiveness of SEO in driving organic traffic to archival resources through the websites of such organisations.
DOI: 10.5281/zenodo.18595322
title: Digital Maturity in Archival Institutions: A Web Performance and Traffic Analytics Dataset (2025)
title: SEO, Security, and Engagement: A Benchmark Dataset of 80 Archival Organizations Worldwide

description: The dataset delivers a two-stage assessment of the digital infrastructure and user engagement patterns of 80 archival institutions worldwide. Its basic aim is to benchmark the technical performance and market reach of cultural heritage websites. Data were systematically collected over a four-month period (June–September 2025), minimising the risk of seasonal bias. The dataset integrates technical auditing with behavioural analytics, providing a comprehensive index of institutional digital maturity.

The technical component was derived via the Checkbot auditing tool, which evaluated each domain against up to 70 discrete variables within three core domains. SEO, speed, and security. The resulting metrics yield granular insights into web optimization, spanning structural integrity, content accessibility, and cybersecurity protocols. Each institution receives aggregate scores for SEO, speed, and security, as well as a composite Total Website SEO Score, enabling robust comparative ranking and gap analysis of technical best practices.

one step further from the the technical audit, the dataset incorporates behavioral and traffic analytics from SimilarWeb, detailing user interaction through critical key performance indicators (KPIs) such as total visits, global rank, average visit duration, and bounce rate. Traffic acquisition is disaggregated by channel. That is direct, organic search, paid search, referral, social, and email. By integrating behavioural metrics with technical performance data, the dataset enables examination of the relationship between site optimisation and user retention, while also examining the effectiveness of SEO in driving organic traffic to archival resources through the websites of such organisations.