cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/x5vpypjzwp
title: Experimental data for the rate of CO₂ release from seawater under vacuum at 30 °C and ambient pressure at 100 °C

description: The research hypothesis underlying this dataset is that the rate of CO₂ release from seawater under boiling conditions depends on water residence time and pressure, and that these dynamics differ significantly between vacuum and ambient pressure. To test this, we experimentally quantified CO₂ release under two representative conditions: vacuum boiling at 30 °C (20 mbar) and atmospheric boiling at 100 °C. The dataset shows time-resolved measurements of pH and total inorganic carbon (TIC), corrected for evaporative volume loss to capture the actual CO₂ release over time. The results demonstrate an initial rapid outgassing of dissolved molecular CO₂, followed by a slower release as bicarbonate is converted into CO₂. Notably, the release kinetics differ between vacuum and atmospheric boiling, highlighting the role of pressure and temperature in controlling the equilibrium and conversion reactions. Data were gathered using seawater samples from the North Sea (The Hague, October 2024), analyzed at the Geoscience Laboratory of Utrecht University. These measurements can be interpreted as empirical validation of CO₂ release dynamics during seawater evaporation and depressurization, which are essential for marine Carbon Dioxide Removal (mCDR) research and the design of processes such as Ocean Thermal Energy Conversion (OTEC), multi-effect distillation (MED), and mechanical vapor recompression desalination (MVR). The dataset can be directly reused to validate theoretical models, assess release kinetics, and optimize process equipment for carbon removal applications.
DOI: 10.17632/x5vpypjzwp.1
title: Experimental data for the rate of CO₂ release from seawater under vacuum at 30 °C and ambient pressure at 100 °C

description: The research hypothesis underlying this dataset is that the rate of CO₂ release from seawater under boiling conditions depends on water residence time and pressure, and that these dynamics differ significantly between vacuum and ambient pressure. To test this, we experimentally quantified CO₂ release under two representative conditions: vacuum boiling at 30 °C (20 mbar) and atmospheric boiling at 100 °C. The dataset shows time-resolved measurements of pH and total inorganic carbon (TIC), corrected for evaporative volume loss to capture the actual CO₂ release over time. The results demonstrate an initial rapid outgassing of dissolved molecular CO₂, followed by a slower release as bicarbonate is converted into CO₂. Notably, the release kinetics differ between vacuum and atmospheric boiling, highlighting the role of pressure and temperature in controlling the equilibrium and conversion reactions. Data were gathered using seawater samples from the North Sea (The Hague, October 2024), analyzed at the Geoscience Laboratory of Utrecht University. These measurements can be interpreted as empirical validation of CO₂ release dynamics during seawater evaporation and depressurization, which are essential for marine Carbon Dioxide Removal (mCDR) research and the design of processes such as Ocean Thermal Energy Conversion (OTEC), multi-effect distillation (MED), and mechanical vapor recompression desalination (MVR). The dataset can be directly reused to validate theoretical models, assess release kinetics, and optimize process equipment for carbon removal applications.
DOI: 10.17632/856cd46z5m
title: Overproduction of Isoscoparin in ybfQ-deficient Bacteria Enhances Radio- tolerance of Host Caenorhabditis elegans

description: transcriptomics and metabolomics data of study "Overproduction of Isoscoparin in ybfQ-deficient Bacteria Enhances Radio- tolerance of Host Caenorhabditis elegans".
DOI: 10.5291/ill-data.easy-1535
title: Incommensurate mangenic structure of Mn2InTaO6
DOI: 10.17632/856cd46z5m.2
title: Overproduction of Isoscoparin in ybfQ-deficient Bacteria Enhances Radio- tolerance of Host Caenorhabditis elegans

description: transcriptomics and metabolomics data of study "Overproduction of Isoscoparin in ybfQ-deficient Bacteria Enhances Radio- tolerance of Host Caenorhabditis elegans".
DOI: 10.17632/yttgmr4cvn
title: R script to develop ML models that dynamically predict CBTI outcomes

description: The R script in"Machine learning models incorporating dynamic variables to predict outcomes of cognitive behavioral therapy for insomnia: a retrospective longitudinal study"
DOI: 10.5291/ill-data.easy-1540
title: Testing of the measurement of some nuclear reflexions of frustrated spinel vanadates thin films on IN22
DOI: 10.17632/yttgmr4cvn.2
title: R script to develop ML models that dynamically predict CBTI outcomes

description: The R script in"Machine learning models incorporating dynamic variables to predict outcomes of cognitive behavioral therapy for insomnia: a retrospective longitudinal study"
DOI: 10.15468/dl.g4xfyu
title: Occurrence Download

description: A dataset containing 7850 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Evaluación de los insectos visitantes florales del café en Colombia"
 ]
}

 The dataset includes 7850 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019194-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2h6hsxx9nz
title: SURFACE QUALITY CHARACTERIZATION AFTER POLISHING ADDITIVELY MANUFACTURED SUPERALLOYS USING FLEXIBLE ABRASIVE TOOLS

description: The research hypothesis was that abrasive brush polishing, particularly with a conformable non-woven disc, can significantly reduce the surface roughness of LPBF Inconel 718 without degrading hardness or residual stress distributions. Three brush types were initially screened (radial bristle, fan-core, and Scotch-Brite™ strip disc), and the most effective tool (Scotch-Brite™) was subsequently optimized.

Data content:
3D surface maps/point clouds (Alicona Infinite Focus G5) before and after polishing (TXT).
2D roughness profiles (Ra, Rz) from transverse scans (CSV/PDF) before and after polishing.
Residual stress depth profiles (CSV/PNG) from hole-drilling measurements.
Rockwell hardness values (XLSX) before and after polishing.
Process parameters (XLSX) including cutting speed, feed, passes, and tool specifications.
Python scripts (.py) implementing the “peak accumulation” metric, which quantifies critical asperities above a 95th percentile height threshold.

How data were gathered:
Polishing trials were performed on flat LPBF Inconel 718 coupons using a MAZAK INTEGREX i-200 multitasking machining center. Surface characterization included Alicona 3D optical microscopy, roughness meter scans, Rockwell durometer testing, metallographic microscopy, and hole-drilling strain-gauge residual stress analysis. Infrared thermography was used to monitor surface temperatures during brushing.

Main findings:
Screening phase: Scotch-Brite™ strip disc reduced Ra and Rz by ≈56%.
Optimized phase: Ra decreased from 5.3 → 1.3 µm (−75%), Rz from 25.4 → 6.8 µm (−73%).
Surface integrity: hardness (~49 HRC) and residual stress profiles remained unaffected.
Peak accumulation analysis: aligned LPBF ridges were effectively removed, with the critical area index reduced by ~80%.

How to use the data:
The dataset enables replication of the experimental workflow, validation of the peak-accumulation metric, and comparison of polishing efficiency under different tools and parameters. It is reusable for studies on fatigue, corrosion, or complex geometries in additive manufacturing finishing.
DOI: 10.5291/ill-data.easy-1542
title: Structural Characterization of Chemically Delithiated LiNi¿.¿Mn¿.¿Co¿.¿O¿ via Neutron Diffraction for High-Power Battery Applications
DOI: 10.17632/2h6hsxx9nz.1
title: SURFACE QUALITY CHARACTERIZATION AFTER POLISHING ADDITIVELY MANUFACTURED SUPERALLOYS USING FLEXIBLE ABRASIVE TOOLS

description: The research hypothesis was that abrasive brush polishing, particularly with a conformable non-woven disc, can significantly reduce the surface roughness of LPBF Inconel 718 without degrading hardness or residual stress distributions. Three brush types were initially screened (radial bristle, fan-core, and Scotch-Brite™ strip disc), and the most effective tool (Scotch-Brite™) was subsequently optimized.

Data content:
3D surface maps/point clouds (Alicona Infinite Focus G5) before and after polishing (TXT).
2D roughness profiles (Ra, Rz) from transverse scans (CSV/PDF) before and after polishing.
Residual stress depth profiles (CSV/PNG) from hole-drilling measurements.
Rockwell hardness values (XLSX) before and after polishing.
Process parameters (XLSX) including cutting speed, feed, passes, and tool specifications.
Python scripts (.py) implementing the “peak accumulation” metric, which quantifies critical asperities above a 95th percentile height threshold.

How data were gathered:
Polishing trials were performed on flat LPBF Inconel 718 coupons using a MAZAK INTEGREX i-200 multitasking machining center. Surface characterization included Alicona 3D optical microscopy, roughness meter scans, Rockwell durometer testing, metallographic microscopy, and hole-drilling strain-gauge residual stress analysis. Infrared thermography was used to monitor surface temperatures during brushing.

Main findings:
Screening phase: Scotch-Brite™ strip disc reduced Ra and Rz by ≈56%.
Optimized phase: Ra decreased from 5.3 → 1.3 µm (−75%), Rz from 25.4 → 6.8 µm (−73%).
Surface integrity: hardness (~49 HRC) and residual stress profiles remained unaffected.
Peak accumulation analysis: aligned LPBF ridges were effectively removed, with the critical area index reduced by ~80%.

How to use the data:
The dataset enables replication of the experimental workflow, validation of the peak-accumulation metric, and comparison of polishing efficiency under different tools and parameters. It is reusable for studies on fatigue, corrosion, or complex geometries in additive manufacturing finishing.
DOI: 10.5291/ill-data.easy-1543
title: Magnetic propagation vector of hexagonal honeycomb materials Pb6M9Te5O30 (M = Ni, Co)
DOI: 10.17632/dbz42w9x8h.1
title: Breast Cancer Diagnostic Dataset (Tabular) for Machine Learning Classification

description: This dataset contains clinical features of breast tumors, designed for use in machine learning and AI-based classification tasks. Each row represents a patient sample with numeric attributes describing tumor characteristics. The dataset includes labels for diagnosis (benign vs malignant), making it suitable for supervised learning tasks such as classification, feature selection, and explainable AI studies.

The dataset may be applied to:
=&gt; Predictive modeling for early breast cancer detection
=&gt; Feature importance and interpretability studies
=&gt; Benchmarking traditional ML models vs. LLM-based tabular learning approaches.
Researchers and practitioners may use this dataset for academic, educational, or applied AI purposes.
DOI: 10.17632/d7g88v895s
title: New insight into chert from silica phase transformation and (Si and O) isotope and trace element criterion constraints on origin: Implications for δ30Siseawater and paleo-temperature reconstructions

description: Major and minor element, TOC contents (wt.%; Supplementary Data S1), trace element and REEs concentrations (mg/kg; Supplementary Data S2). Various chert types from representative sedimentary profiles of Paleozoic, Proterozoic and Archean, invoking volcanic, S-, C- (seawater, hydrothermal), dike chert types and their Si and O isotopie and trace elements datasets (Supplementary Data S3), and Si and O in-situ isotope datasets for representative microquartz and quartz vein of the 1.88 Ga Gunflint (Canada), 2.72 Ga Tumbiana Formation (Australia), 3.29 Ga Mendon Formation (South Africa), and 3.48 Ga Dresser Formation (Australia) chert (Supplementary Data S4). Si isotope fractionation in opal-CT dissolves and reprecipitates to microquartz process in pore water (Supplementary Data S5), and models for various styles of paleotemperature reconstrction from O isotope of chert (Supplementary Data S6) are shown for the early Silurian C-chert (seawater chert) sample from the Yangtze block, South China, Proterozoic-Cambrian transition C-chert from the Bohemian Massif, Czech Republic, and 1.9 Ga Gunflint chert, Canada.
DOI: 10.5291/ill-data.easy-1544
title: Structure and magnetism of the potential Li-ion battery cathode material: LiFeSO4Cl
DOI: 10.17632/d7g88v895s.1
title: New insight into chert from silica phase transformation and (Si and O) isotope and trace element criterion constraints on origin: Implications for δ30Siseawater and paleo-temperature reconstructions

description: Major and minor element, TOC contents (wt.%; Supplementary Data S1), trace element and REEs concentrations (mg/kg; Supplementary Data S2). Various chert types from representative sedimentary profiles of Paleozoic, Proterozoic and Archean, invoking volcanic, S-, C- (seawater, hydrothermal), dike chert types and their Si and O isotopie and trace elements datasets (Supplementary Data S3), and Si and O in-situ isotope datasets for representative microquartz and quartz vein of the 1.88 Ga Gunflint (Canada), 2.72 Ga Tumbiana Formation (Australia), 3.29 Ga Mendon Formation (South Africa), and 3.48 Ga Dresser Formation (Australia) chert (Supplementary Data S4). Si isotope fractionation in opal-CT dissolves and reprecipitates to microquartz process in pore water (Supplementary Data S5), and models for various styles of paleotemperature reconstrction from O isotope of chert (Supplementary Data S6) are shown for the early Silurian C-chert (seawater chert) sample from the Yangtze block, South China, Proterozoic-Cambrian transition C-chert from the Bohemian Massif, Czech Republic, and 1.9 Ga Gunflint chert, Canada.
DOI: 10.5291/ill-data.easy-1550
title: Test of sample LiHoF4
DOI: 10.5281/zenodo.16742810
title: Input Data for Sea-Level Projections: GIA Ensemble, Glacier Fingerprints, and Nodal Cycle Amplitudes

description: This dataset provides input fields for sea-level projection studies: (1) a 5000-member ensemble of Glacial Isostatic Adjustment (GIA) fingerprints (Caron et al. 2018), (2) relative sea-level and radial fingerprints for 19 glacier regions (Frederikse et al. 2020), and (3) nodal cycle amplitude fields for tide-gauge corrections (Frederikse et al. 2020). The data support the study Relative sea level projections constrained by historical trends at tide gauge sites (Science Advances, forthcoming) and are shared to enable reproducibility and reuse in sea-level research. See the included README.md for detailed information.

If you use these datasets, please cite:



This Zenodo dataset.


Original sources:



Caron, L., Ivins, E.R., Larour, E. et al. (2018):  GIA model statistics for GRACE hydrology, cryosphere, and ocean science. GRL. https://doi.org/10.1002/2017GL076644

Frederikse, T. et al. (2020): The causes of sea-level rise since 1900. Nature. https://doi.org/10.1038/s41586-020-2591-3
DOI: 10.5291/ill-data.easy-1552
title: Laue pattern of Yb227 crystal
DOI: 10.17632/9jp6r68y98
title: AdDDoSDN: Adversarial DDoS Attacks Dataset for Software-Defined Networks

description: The AdDDoSDN dataset is a comprehensive network traffic corpus built for defensive SDN research, capturing coordinated DDoS attacks and benign enterprise activity through controlled Mininet experiments driven by a remote Ryu L3 controller to deliver high-quality labeled data for real-time detection development. The environment emulates a segmented four-subnet enterprise: h1 (192.168.10.10/24) acts as the external attacker, h2–h5 (192.168.20.10–13/24) form the corporate client subnet with h2 handling ICMP exchanges and h3/h5 generating rich TCP and UDP application sessions, h6 (192.168.30.10/24) resides in the server/DMZ subnet as the primary victim, and controller services operate on 192.168.0.0/24, providing realistic inter-subnet attack paths while preserving centralized SDN visibility.

The dataset follows a structured, configurable timeline sourced from config.json, with the default cycle spanning roughly 35 minutes per run: a 5-second initialization period, 1,600 seconds of benign traffic mixing ICMP, Telnet, SSH, FTP, HTTP/S, and DNS exchanges, enhanced traditional attacks from h1 including an 88-second SYN flood and 176-second UDP flood against h6, plus an 88-second ICMP flood toward h4, and adversarial attacks from h1 to h6 comprising a 72-second TCP state-exhaustion phase with human-like timing patterns, a 24-second application-layer mimicry burst combining heavy HTTP range/post requests with legitimate queries, and a 72-second slow-read phase sustaining long-lived connections. Traditional phases operate around 20–30 packets per second with protocol-compliant options, while adversarial scripts emphasize mimicry and timing jitter.

The dataset provides three synchronized data products derived from each capture cycle:
1. Packet-level data (adddosdn_packet_dataset.csvv): 30 header fields + 2 labels extracted directly from PCAP phases.
2. SDN flow-level data (adddosdn_flow_dataset.csv): Controller statistics with derived rates and labels collected via the Ryu REST API.
3. CICFlow aggregated data (adddosdn_cicflow_dataset.csv): 85 bidirectional behavioral features generated with CICFlowMeter.

The dataset demonstrates exceptional quality containing 3.5 million total records across dataset instances, each representing different temporal scenarios. Labels span normal, syn_flood, udp_flood, icmp_flood, ad_syn, ad_udp, and ad_slow, with Label_binary collapsing them into benign (0) versus malicious (1) classes to maintain consistency across packet, controller-flow, and behavioral representations.
DOI: 10.17632/9jp6r68y98.1
title: AdDDoSDN: Adversarial DDoS Attacks Dataset for Software-Defined Networks

description: The AdDDoSDN dataset is a comprehensive network traffic corpus built for defensive SDN research, capturing coordinated DDoS attacks and benign enterprise activity through controlled Mininet experiments driven by a remote Ryu L3 controller to deliver high-quality labeled data for real-time detection development. The environment emulates a segmented four-subnet enterprise: h1 (192.168.10.10/24) acts as the external attacker, h2–h5 (192.168.20.10–13/24) form the corporate client subnet with h2 handling ICMP exchanges and h3/h5 generating rich TCP and UDP application sessions, h6 (192.168.30.10/24) resides in the server/DMZ subnet as the primary victim, and controller services operate on 192.168.0.0/24, providing realistic inter-subnet attack paths while preserving centralized SDN visibility.

The dataset follows a structured, configurable timeline sourced from config.json, with the default cycle spanning roughly 35 minutes per run: a 5-second initialization period, 1,600 seconds of benign traffic mixing ICMP, Telnet, SSH, FTP, HTTP/S, and DNS exchanges, enhanced traditional attacks from h1 including an 88-second SYN flood and 176-second UDP flood against h6, plus an 88-second ICMP flood toward h4, and adversarial attacks from h1 to h6 comprising a 72-second TCP state-exhaustion phase with human-like timing patterns, a 24-second application-layer mimicry burst combining heavy HTTP range/post requests with legitimate queries, and a 72-second slow-read phase sustaining long-lived connections. Traditional phases operate around 20–30 packets per second with protocol-compliant options, while adversarial scripts emphasize mimicry and timing jitter.

The dataset provides three synchronized data products derived from each capture cycle:
1. Packet-level data (adddosdn_packet_dataset.csvv): 30 header fields + 2 labels extracted directly from PCAP phases.
2. SDN flow-level data (adddosdn_flow_dataset.csv): Controller statistics with derived rates and labels collected via the Ryu REST API.
3. CICFlow aggregated data (adddosdn_cicflow_dataset.csv): 85 bidirectional behavioral features generated with CICFlowMeter.

The dataset demonstrates exceptional quality containing 3.5 million total records across dataset instances, each representing different temporal scenarios. Labels span normal, syn_flood, udp_flood, icmp_flood, ad_syn, ad_udp, and ad_slow, with Label_binary collapsing them into benign (0) versus malicious (1) classes to maintain consistency across packet, controller-flow, and behavioral representations.
DOI: 10.25574/26802
title: Chandra X-ray Observatory ObsId 26802

description: Chandra's Crucial Role in Identifying a Robust and Practical Accretion-Rate Indicator for Quasars
DOI: 10.5291/ill-data.easy-1469
title: Magnetic structure of TmCr0.6Co0.6O3
DOI: 10.17632/8bdf9cdcyr
title: U-Pb spot analyses (LA-MC-ICPMS ) of Galilee fault-related calcite

description: We provide U-Pb dates of syn-tectonic calcites (n=34) collected along the Galilee faulted domain. These dates suggest that the earliest NW-SE strike-slip faulting phase in Galilee was active between 25 to 7 Ma, peaking at 18.6 Ma and coeval with the onset of the DST in northern Israel. Starting from ~5 Ma, and peaking at 2 Ma, an intensive E-W normal faulting phase dominated Galilee tectonics, shaping its present basin-and-range like morphology.
DOI: 10.25574/26837
title: Chandra X-ray Observatory ObsId 26837

description: Chandra's Crucial Role in Identifying a Robust and Practical Accretion-Rate Indicator for Quasars
DOI: 10.17632/8bdf9cdcyr.1
title: U-Pb spot analyses (LA-MC-ICPMS ) of Galilee fault-related calcite

description: We provide U-Pb dates of syn-tectonic calcites (n=34) collected along the Galilee faulted domain. These dates suggest that the earliest NW-SE strike-slip faulting phase in Galilee was active between 25 to 7 Ma, peaking at 18.6 Ma and coeval with the onset of the DST in northern Israel. Starting from ~5 Ma, and peaking at 2 Ma, an intensive E-W normal faulting phase dominated Galilee tectonics, shaping its present basin-and-range like morphology.
DOI: 10.5291/ill-data.easy-1477
title: Investigation of the crystal and magnetic structures of ScFe2 compounds crystallizing in the MgCu2 type structure
DOI: 10.17632/3kkwr7jg4g
title: Integrating Sustainability and Finance: Examining the Influence of ESG and Financial Determinants on Financial Distress

description: This dataset comprises data obtained from the financial reports of companies in the food & beverage, apparel & luxury goods, and food & staples retailing subsectors during the period 2020 to 2024, with the aim of examining whether Environment, Social, Governance, Sales Growth, Profitability, Liquidity, Leverage, and Firm Size influence financial distress.
DOI: 10.25574/26880
title: Chandra X-ray Observatory ObsId 26880

description: X-ray confirmation of optically selected IMBH-powered AGN and high-resolution imaging of their host galaxies
DOI: 10.15468/dl.jt38hx
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Hyloxalus cepedai [GBIF Backbone Taxonomy])",
 "HasCoordinate is true"
 ]
 }
 ]
}

 The dataset includes 264 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019195-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3kkwr7jg4g.1
title: Integrating Sustainability and Finance: Examining the Influence of ESG and Financial Determinants on Financial Distress

description: This dataset comprises data obtained from the financial reports of companies in the food & beverage, apparel & luxury goods, and food & staples retailing subsectors during the period 2020 to 2024, with the aim of examining whether Environment, Social, Governance, Sales Growth, Profitability, Liquidity, Leverage, and Firm Size influence financial distress.
DOI: 10.25574/26986
title: Chandra X-ray Observatory ObsId 26986

description: AO-24 Calibration Observations of E0102-72