cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25612/837.bl6nj8j46vmb
title: HCAD - Property Characteristics and Tax Assessments 2020

description: The data documents the information needed for discovering and appraising property for ad valorem tax purposes for each taxing unit within the boundaries of the district in 2020.
DOI: 10.15468/dl.y3se7u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.367 -0.041815, 102.296737 -0.047382, 102.228204 -0.063946, 102.163088 -0.091098, 102.102993 -0.128171, 102.049398 -0.174251, 102.003622 -0.228204, 101.966793 -0.288702, 101.939818 -0.354255, 101.92336 -0.423249, 101.917826 -0.493985, 101.923351 -0.5647219999999999, 101.9398 -0.633718, 101.966769 -0.699274, 102.003593 -0.759775, 102.049367 -0.813733, 102.102964 -0.859818, 102.163064 -0.896895, 102.228186 -0.924051, 102.296728 -0.940616, 102.367 -0.946184, 102.437272 -0.940616, 102.505814 -0.924051, 102.570936 -0.896895, 102.631036 -0.859818, 102.684633 -0.813733, 102.730407 -0.759775, 102.767231 -0.699274, 102.7942 -0.633718, 102.810649 -0.5647219999999999, 102.816174 -0.493985, 102.81064 -0.423249, 102.794182 -0.354255, 102.767207 -0.288702, 102.730378 -0.228204, 102.684602 -0.174251, 102.631007 -0.128171, 102.570912 -0.091098, 102.505796 -0.063946, 102.437263 -0.047382, 102.367 -0.041815))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001042-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18319964
title: Ximenia americana L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18319963
title: Ximenia americana L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.25946/30595001
title: Data from scoping review of pregnancy and parenting policies in Australian sporting organisations

description: Includes data extraction table, included policies and final manuscript.
DOI: 10.25946/30595001.v1
title: Data from scoping review of pregnancy and parenting policies in Australian sporting organisations

description: Includes data extraction table, included policies and final manuscript.
DOI: 10.15468/dl.v3zbte
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((114.094 3.48517, 114.023608 3.479601, 113.954952 3.46303, 113.889724 3.435866, 113.829531 3.39878, 113.775858 3.352684, 113.730026 3.298716, 113.693163 3.238205, 113.666175 3.172642, 113.649725 3.103643, 113.644217 3.032906, 113.649783 2.962174, 113.666285 2.893187, 113.693314 2.827645, 113.730204 2.76716, 113.776045 2.71322, 113.829709 2.667153, 113.889875 2.630092, 113.955062 2.602949, 114.023666 2.586391, 114.094 2.580826, 114.164334 2.586391, 114.232938 2.602949, 114.298125 2.630092, 114.358291 2.667153, 114.411955 2.71322, 114.457796 2.76716, 114.494686 2.827645, 114.521715 2.893187, 114.538217 2.962174, 114.543783 3.032906, 114.538275 3.103643, 114.521825 3.172642, 114.494837 3.238205, 114.457974 3.298716, 114.412142 3.352684, 114.358469 3.39878, 114.298276 3.435866, 114.233048 3.46303, 114.164392 3.479601, 114.094 3.48517))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001044-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18319965
title: Verbesina encelioides (Cav.) Benth. & Hook.f. ex A.Gray. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18319966
title: Verbesina encelioides (Cav.) Benth. & Hook.f. ex A.Gray. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.15468/dl.53tey4
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Hoffmannseggia drepanocarpa A.Gray",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 62 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009672-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s6uvze
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Portulaca grandiflora",
 "Country is Ecuador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 36 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049026-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15577087
title: TABLE 1 in The tadpole of Thoropa bryomantis (Anura: Cycloramphidae): external and oral internal morphology

description: TABLE 1. Morphometric measurements (mean, standard deviation, and range, in mm) of tadpoles of Thoropa bryomantis, from Cataguases, state of Minas Gerais, Brazil.
CharactersStage 36 (n=7)Stages 38–40 (n=5)Total length (TL)24.13 ± 02.37 (22.15–28.42)24.76 ± 01.60 (23.12–27.35)Body length (BL)07.35 ± 00.60 (07.08–08.61)07.94 ± 00.53 (07.41–08.82)Body width (BW)05.23 ± 00.17 (04.94–05.42)05.23 ± 00.14 (05.04–05.37)Body width at level of eyes (BWE)03.84 ± 00.22 (03.56–04.12)03.79 ± 00.19 (03.62–04.02)Body height (BH)03.03 ± 00.22 (02.80–03.36)03.48 ± 00.20 (03.21–03.67)Tail length (TAL)17.45 ± 01.64 (15.54–20.22)17.15 ± 00.96 (15.71–18.11)Maximum tail height (MTH)01.68 ± 00.14 (01.43–01.83)02.05 ± 00.26 (01.83–02.35)Eye diameter (ED)01.16 ± 00.08 (00.96–01.21)01.30 ± 00.02 (01.28–01.33)Nostril diameter (ND)00.13 ± 00.02 (00.10–00.15)00.13 ± 00.01 (00.12–00.15)Interorbital distance (IOD)01.55 ± 00.13 (01.29–01.67)01.62 ± 00.12 (01.53–01.82)Internostril distance (IND)00.94 ± 00.07 (00.84–01.06)00.96 ± 00.03 (00.93–01.01)Eye-nostril distance (END)01.30 ± 00.12 (01.28–01.55)01.53 ± 00.01 (01.52–01.54)Eye-snout distance (ESD)02.46 ± 00.60 (01.14–03.07)02.88 ± 00.18 (02.65–03.02)Dorsal fin height (DFH)00.28 ± 00.09 (00.11–00.32)00.18 ± 00.07 (00.12–00.26)Ventral fin height (VFH)00.23 ± 00.06 (00.19–00.35)00.29 ± 00.02 (00.26–00.32)Tail muscle height (TMH)01.65 ± 00.14 (01.43–01.83)02.17 ± 00.19 (01.87–02.35)Tail muscle width (TMW)01.54 ± 00.10 (01.34–01.61)01.77 ± 00.11 (01.65–01.94)Spiracle length (SL)00.51 ± 00.03 (00.47–00.54)00.51 ± 00.02 (00.48–00.54)Snout-spiracular distance (SSD)04.33 ± 00.31 (04.02–04.84)04.78 ± 00.11 (04.65–04.90)Spiracular-venter distance (SVD)00.62 ± 00.10 (00.45–00.77)00.58 ± 00.12 (00.43–00.73)Oral disc width (ODW)02.14 ± 00.11 (02.01–02.33)02.37 ± 00.06 (02.28–02.43)
description: Published as part of Fraga, Letícia Soares, Guimarães, Carla Da Silva, Assis, Clodoaldo Lopes, Pezzuti, Tiago Leite & Feio, Renato Neves, 2025, The tadpole of Thoropa bryomantis (Anura: Cycloramphidae): external and oral internal morphology, pp. 196 in Zootaxa 5637 (1) on page 196, DOI: 10.11646/zootaxa.5637.1.13, http://zenodo.org/record/15561915
DOI: 10.5281/zenodo.15577088
title: TABLE 1 in The tadpole of Thoropa bryomantis (Anura: Cycloramphidae): external and oral internal morphology

description: TABLE 1. Morphometric measurements (mean, standard deviation, and range, in mm) of tadpoles of Thoropa bryomantis, from Cataguases, state of Minas Gerais, Brazil.
CharactersStage 36 (n=7)Stages 38–40 (n=5)Total length (TL)24.13 ± 02.37 (22.15–28.42)24.76 ± 01.60 (23.12–27.35)Body length (BL)07.35 ± 00.60 (07.08–08.61)07.94 ± 00.53 (07.41–08.82)Body width (BW)05.23 ± 00.17 (04.94–05.42)05.23 ± 00.14 (05.04–05.37)Body width at level of eyes (BWE)03.84 ± 00.22 (03.56–04.12)03.79 ± 00.19 (03.62–04.02)Body height (BH)03.03 ± 00.22 (02.80–03.36)03.48 ± 00.20 (03.21–03.67)Tail length (TAL)17.45 ± 01.64 (15.54–20.22)17.15 ± 00.96 (15.71–18.11)Maximum tail height (MTH)01.68 ± 00.14 (01.43–01.83)02.05 ± 00.26 (01.83–02.35)Eye diameter (ED)01.16 ± 00.08 (00.96–01.21)01.30 ± 00.02 (01.28–01.33)Nostril diameter (ND)00.13 ± 00.02 (00.10–00.15)00.13 ± 00.01 (00.12–00.15)Interorbital distance (IOD)01.55 ± 00.13 (01.29–01.67)01.62 ± 00.12 (01.53–01.82)Internostril distance (IND)00.94 ± 00.07 (00.84–01.06)00.96 ± 00.03 (00.93–01.01)Eye-nostril distance (END)01.30 ± 00.12 (01.28–01.55)01.53 ± 00.01 (01.52–01.54)Eye-snout distance (ESD)02.46 ± 00.60 (01.14–03.07)02.88 ± 00.18 (02.65–03.02)Dorsal fin height (DFH)00.28 ± 00.09 (00.11–00.32)00.18 ± 00.07 (00.12–00.26)Ventral fin height (VFH)00.23 ± 00.06 (00.19–00.35)00.29 ± 00.02 (00.26–00.32)Tail muscle height (TMH)01.65 ± 00.14 (01.43–01.83)02.17 ± 00.19 (01.87–02.35)Tail muscle width (TMW)01.54 ± 00.10 (01.34–01.61)01.77 ± 00.11 (01.65–01.94)Spiracle length (SL)00.51 ± 00.03 (00.47–00.54)00.51 ± 00.02 (00.48–00.54)Snout-spiracular distance (SSD)04.33 ± 00.31 (04.02–04.84)04.78 ± 00.11 (04.65–04.90)Spiracular-venter distance (SVD)00.62 ± 00.10 (00.45–00.77)00.58 ± 00.12 (00.43–00.73)Oral disc width (ODW)02.14 ± 00.11 (02.01–02.33)02.37 ± 00.06 (02.28–02.43)
description: Published as part of Fraga, Letícia Soares, Guimarães, Carla Da Silva, Assis, Clodoaldo Lopes, Pezzuti, Tiago Leite & Feio, Renato Neves, 2025, The tadpole of Thoropa bryomantis (Anura: Cycloramphidae): external and oral internal morphology, pp. 196 in Zootaxa 5637 (1) on page 196, DOI: 10.11646/zootaxa.5637.1.13, http://zenodo.org/record/15561915
DOI: 10.60555/d3xq-e207
title: Investigating the Structures of Paramagnetic Aggregates from Colloidal Emulsions-1
title: InSPACE-1

description: InSPACE-1 studied the response of MR fluids under continuous and pulsed magnetic fields in a microgravity environment.  An objective was to determine the true three-dimensional low-energy (equilibrium) structure of an magneto-rheological (MR) emulsion in a pulsed magnetic field. InSPACE-1 aimed to conduct a microscopic video study of the MR fluid in a pulsed magnetic field to determine the effect of varying magnetic field, pulse frequency, and particle size on the equilibrium microstructures. A pulsed magnetic field is used to mimic the forces applied to these fluids in real applications, such as vibration damping systems. A pulsed field also tends to produce intricate, thick structures with different properties than structures produced by a constant magnetic field.
DOI: 10.15468/dl.q4f3px
title: Occurrence Download

description: A dataset containing 41289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Observation.org, Nature data from around the World",
 "GadmGid is DEU.10_1",
 "License is CC-BY-NC 4.0",
 "TaxonKey is Amphibia",
 "Year 2005-2025"
 ]
}

 The dataset includes 41289 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015548-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29163506.v3
title: raw data.zip

description: Raw data for 10.1038/s41598-025-96683-3 "<i>Multi-omics analysis constructs a novel neuroendocrine prostate cancer classifier and classification system</i>"
DOI: 10.5281/zenodo.17643835
title: How the EU can utilise its carbon market to scale up Carbon Dioxide Removal - Results

description: Results to Figures of the publication "How the EU can utilise its carbon market to scale up Carbon Dioxide Removal".

All results were generated using the numerical EU ETS-model LIMES-EU. Assumptions, parameters and equations are publicly available in the LIMES-EU model documentation.

File 251121_Figures_CDR_ETS.xlsx provides data for Figures in the main text.



Fig. 2: CDR deployment and EU ETS allowance prices under three DACCS cost scenarios.

Fig. 3: ETS emissions by sector and reulsting carbon prices from 2020 to 2060.

Fig. 4: Carbon prices and CDR deployment with a DACCS cost-shock or 30% lower biomass cost.


File 251113_Figures_LCOR.xlsx provides Levelised Cost of Removal data for BECCS and DACCS, which are reported in the Supplemental Information.
description: Novel carbon dioxide removal (CDR) technologies need to be ramped-up rapidly to ensure the Paris goal can still be reached. Under the current geopolitical situation, many now expect the European Union (EU) to maintain and increase momentum in CDR deployment. While fiscal space is limited, the EU's Emissions Trading System (ETS) offers a unique opportunity to provide CDR investors with long-term financial certainty. At the same time, CDR integration into the ETS comes with risks, which may prevent the EU from taking this step. Using the numerical EU ETS-model LIMES-EU, we show that the ETS could incentivise 65-126 Mt/y of BECCS and DACCS combined by 2050. We discuss abatement deterrence in an ETS context and propose a sequencing approach for integration, which could minimise the integrity risk while providing long-term prospects for CDR to scale.
DOI: 10.5281/zenodo.17643836
title: How the EU can utilise its carbon market to scale up Carbon Dioxide Removal - Results

description: Results to Figures of the publication "How the EU can utilise its carbon market to scale up Carbon Dioxide Removal".

All results were generated using the numerical EU ETS-model LIMES-EU. Assumptions, parameters and equations are publicly available in the LIMES-EU model documentation.

File 251121_Figures_CDR_ETS.xlsx provides data for Figures in the main text.



Fig. 2: CDR deployment and EU ETS allowance prices under three DACCS cost scenarios.

Fig. 3: ETS emissions by sector and reulsting carbon prices from 2020 to 2060.

Fig. 4: Carbon prices and CDR deployment with a DACCS cost-shock or 30% lower biomass cost.


File 251113_Figures_LCOR.xlsx provides Levelised Cost of Removal data for BECCS and DACCS, which are reported in the Supplemental Information.
description: Novel carbon dioxide removal (CDR) technologies need to be ramped-up rapidly to ensure the Paris goal can still be reached. Under the current geopolitical situation, many now expect the European Union (EU) to maintain and increase momentum in CDR deployment. While fiscal space is limited, the EU's Emissions Trading System (ETS) offers a unique opportunity to provide CDR investors with long-term financial certainty. At the same time, CDR integration into the ETS comes with risks, which may prevent the EU from taking this step. Using the numerical EU ETS-model LIMES-EU, we show that the ETS could incentivise 65-126 Mt/y of BECCS and DACCS combined by 2050. We discuss abatement deterrence in an ETS context and propose a sequencing approach for integration, which could minimise the integrity risk while providing long-term prospects for CDR to scale.
DOI: 10.17632/mv2x3pbfdb
title: Quantum_Kinase_dataset

description: Here’s a clean one-paragraph description you can drop straight into your research paper:

This dataset is a synthetic quantum-enhanced molecular screening benchmark designed for kinase–ligand interaction modeling using Quantum Machine Learning (QML) techniques. It contains 500 small-molecule compounds, each annotated with target kinase class, SMILES-based structural representations, quantum-physics descriptors (ground and excited state energies, energy gap, entanglement score, dipole moment, HOMO–LUMO gap, and quantum-state fidelity), and classical cheminformatics features such as molecular weight, LogP, TPSA, H-bond donors/acceptors, and rotatable bonds. Binding affinity (pKd) values are included as the regression target variable, enabling evaluation of hybrid QML–chemoinformatics models. The dataset was programmatically generated using randomized molecular structures and simulated quantum descriptors to support experimentation in quantum feature extraction, QPE-based modeling, and QML benchmarking. Although synthetic, the dataset follows real-world biochemical distributions and can be made publicly available through open repositories such as GitHub, Zenodo, or Kaggle for reproducible research, validation, and comparison of QML frameworks.
DOI: 10.17632/mv2x3pbfdb.1
title: Quantum_Kinase_dataset

description: Here’s a clean one-paragraph description you can drop straight into your research paper:

This dataset is a synthetic quantum-enhanced molecular screening benchmark designed for kinase–ligand interaction modeling using Quantum Machine Learning (QML) techniques. It contains 500 small-molecule compounds, each annotated with target kinase class, SMILES-based structural representations, quantum-physics descriptors (ground and excited state energies, energy gap, entanglement score, dipole moment, HOMO–LUMO gap, and quantum-state fidelity), and classical cheminformatics features such as molecular weight, LogP, TPSA, H-bond donors/acceptors, and rotatable bonds. Binding affinity (pKd) values are included as the regression target variable, enabling evaluation of hybrid QML–chemoinformatics models. The dataset was programmatically generated using randomized molecular structures and simulated quantum descriptors to support experimentation in quantum feature extraction, QPE-based modeling, and QML benchmarking. Although synthetic, the dataset follows real-world biochemical distributions and can be made publicly available through open repositories such as GitHub, Zenodo, or Kaggle for reproducible research, validation, and comparison of QML frameworks.
DOI: 10.17632/f96hm8c9dv
title: The Role and Regulatory Mechanism of PRMT1 in Diabetic Kidney Disease

description: In this study, we used mass spectrometry–based proteomics to analyze renal tissues from normal and DKD mice, with validation by qRT-PCR and Western blot. Our findings aim to provide mechanistic insights and potential therapeutic targets for DKD.DKD mice exhibited hyperglycemia, insulin resistance, dyslipidemia, and renal dysfunction. Electron microscopy showed glomerular basement membrane thickening and podocyte foot process effacement. Proteomics revealed 2,950 differential proteins enriched in autophagy and mTOR signaling pathways. Compared with controls, PRMT1, mTOR, and P-Akt/Akt were upregulated, while NPRL2, Beclin1, ATG12, ATG7, and LC3-II/LC3-I were downregulated in DKD kidneys (P&lt;0.05).
DOI: 10.17632/f96hm8c9dv.1
title: The Role and Regulatory Mechanism of PRMT1 in Diabetic Kidney Disease

description: In this study, we used mass spectrometry–based proteomics to analyze renal tissues from normal and DKD mice, with validation by qRT-PCR and Western blot. Our findings aim to provide mechanistic insights and potential therapeutic targets for DKD.DKD mice exhibited hyperglycemia, insulin resistance, dyslipidemia, and renal dysfunction. Electron microscopy showed glomerular basement membrane thickening and podocyte foot process effacement. Proteomics revealed 2,950 differential proteins enriched in autophagy and mTOR signaling pathways. Compared with controls, PRMT1, mTOR, and P-Akt/Akt were upregulated, while NPRL2, Beclin1, ATG12, ATG7, and LC3-II/LC3-I were downregulated in DKD kidneys (P&lt;0.05).
DOI: 10.17632/v7nmsb2bc3
title: The impact of hybrid work intensity, leadership, and organizational support systems on employee career advancement: the mediating role of employee collaboration

description: Data from questionnaire administered to employees working in hybrid mode
DOI: 10.17632/v7nmsb2bc3.1
title: The impact of hybrid work intensity, leadership, and organizational support systems on employee career advancement: the mediating role of employee collaboration

description: Data from questionnaire administered to employees working in hybrid mode
DOI: 10.17632/x8zkds4fyn.1
title: Experimental Study of Pre-ignition Dispersion Dynamics and Flammable Cloud Formation from Buried Hydrogen-Blended Natural Gas Pipeline to Semi-Confined Space

description: The addition of hydrogen significantly alters the transport and diffusion characteristics of natural gas, posing new challenges to the leakage safety of existing buried pipelines. To fill the gap in systematic experimental data in this field, this study, for the first time, constructed a full-scale experimental system that accurately reproduces the complete physical process by which high-pressure hydrogen-blended natural gas leaks from pipelines, migrates through soil, and forms a flammable gas cloud at the surface. Through spatiotemporally resolved concentration field measurements, this study captured and quantified, for the first time, the unsteady-state evolution dynamics of a flammable gas cloud from the onset of leakage to ignition. The attached file contains organized raw experimental data for different hydrogen blending ratios and leakage volumes.