cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5r78630m
title: MassIVE MSV000100540 - GNPS - INNOMISSION oat samples
title: Untargeted metabolomics study of oat (Avena sativa) grains grown in three distinct locations across Denmark (with one site practicing organic farming) and represented with ten different cultivars.
DOI: 10.5281/zenodo.17093877
title: Dataset to Support the Modelling of Vietnam's Transport Sector: Population, Economy, Transport Activity, Energy Efficiency, Load Capacity, and Carbon Emission

description: The rapid growth of Vietnam’s transport sector presents challenges for sustainable energy and transport planning, particularly due to rising fuel consumption and associated carbon emissions. To help address these challenges, this paper presents a comprehensive dataset designed to support modelling of future transport demand, energy use, and CO2 emissions in Vietnam. The dataset covers population, GDP, passenger and freight activity, vehicle stock, energy intensity, load capacity, and CO2 factors across nine transport modes: motorcycles, cars, buses, light-duty vehicles, heavy-duty vehicles, rail, inland waterways, maritime, and aviation. These are further disaggregated into nine fuel types: petrol, diesel, compressed natural gas, electricity, biofuel, fuel oil, hydrogen, ammonia, and jet fuel. Data were compiled from national statistics, government reports, online databases, academic journals, and media sources. Structured for use with open-source modelling tools, the dataset supports analyses of transport demand and carbon accounting, offering researchers, policymakers, and consultants a resource to evaluate long-term decarbonisation pathways and inform evidence-based policymaking.
DOI: 10.5281/zenodo.18328353
title: Dataset to Support the Modelling of Vietnam's Transport Sector: Population, Economy, Transport Activity, Energy Efficiency, Load Capacity, and Carbon Emission

description: The rapid growth of Vietnam’s transport sector presents challenges for sustainable energy and transport planning, particularly due to rising fuel consumption and associated carbon emissions. To help address these challenges, this paper presents a comprehensive dataset designed to support modelling of future transport demand, energy use, and CO2 emissions in Vietnam. The dataset covers population, GDP, passenger and freight activity, vehicle stock, energy intensity, load capacity, and CO2 factors across nine transport modes: motorcycles, cars, buses, light-duty vehicles, heavy-duty vehicles, rail, inland waterways, maritime, and aviation. These are further disaggregated into nine fuel types: petrol, diesel, compressed natural gas, electricity, biofuel, fuel oil, hydrogen, ammonia, and jet fuel. Data were compiled from national statistics, government reports, online databases, academic journals, and media sources. Structured for use with open-source modelling tools, the dataset supports analyses of transport demand and carbon accounting, offering researchers, policymakers, and consultants a resource to evaluate long-term decarbonisation pathways and inform evidence-based policymaking.
DOI: 10.5281/zenodo.18328084
title: Global Regularity of 3D Navier-Stokes Equations: Derivation of the Universal Vorticity Bound.
title: A Scaling-Based Numerical Bound for 3D Incompressible Navier-Stokes Regularity

description: This research presents a formal proof for the global regularity of the 3D incompressible Navier-Stokes equations. We introduce a 7-Pattern Scaling Framework to analyze vorticity dynamics across extreme energy scales. By deriving a universal vorticity-saturation bound K = \frac{9}{194} \cdot 9^{194}, we demonstrate that viscous dissipation strictly dominates non-linear vortex stretching at the critical threshold. This result satisfies the Beale-Kato-Majda (BKM) criterion, proving that no finite-time singularities (blow-ups) can occur. Numerical simulations support the stabilization of the system at energy scales near 10^{14}.
DOI: 10.5281/zenodo.18328083
title: Global Regularity of 3D Navier-Stokes Equations: Derivation of the Universal Vorticity Bound.
title: A Scaling-Based Numerical Bound for 3D Incompressible Navier-Stokes Regularity

description: This research presents a formal proof for the global regularity of the 3D incompressible Navier-Stokes equations. We introduce a 7-Pattern Scaling Framework to analyze vorticity dynamics across extreme energy scales. By deriving a universal vorticity-saturation bound K = \frac{9}{194} \cdot 9^{194}, we demonstrate that viscous dissipation strictly dominates non-linear vortex stretching at the critical threshold. This result satisfies the Beale-Kato-Majda (BKM) criterion, proving that no finite-time singularities (blow-ups) can occur. Numerical simulations support the stabilization of the system at energy scales near 10^{14}.
DOI: 10.34943/df62a672-8bf3-4d1b-89f0-c5e1e4932d80
title: China Creek Hydrophone Deployed 2025-06-05

description: The Ocean Sonics icListen HF Hydrophone 1561 was deployed on 2025-06-05 at China Creek. China Creek is located in the Alberni Inlet, which is a long, narrow inlet on Vancouver Island. This device is a Hydrophone. Hydrophones are devices containing transducers that convert underwater sound waves into electrical signals. They are acoustic instruments that can process data while they are being collected to produce calibrated waveform data. Hydrophones are typically used to study vocalizations of marine mammals, ship traffic and ambient noise. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.18328348
title: AIRELI Replication Package: Grasping AI Reliance in Program Comprehension and Coding through the AIRELI Persona Taxonomy

description: Access Web App Companion

https://aireli.hasel.dev for interactive visualization and more information

Aireli Replication Package

This package contains three primary artifacts:

Full data export

- **File**: `full_data_export_anonymized.json`- **What it is**: An anonymized full data export used for analysis/replication.

Task code base

- **Directory**: `task-codebase/`- **What it is**: The runnable monorepo used to complete the coding tasks (frontend + backend).- **Where to start**:  - Setup instructions: `task-codebase/SETUP.md`  - Task 1: `task-codebase/TASK_1.md`  - Task 2: `task-codebase/TASK_2.md`

Sample solution

- **File**: `sample-solution.patch.ts`- **What it is**: A patch-style sample solution reference for the task codebase.
DOI: 10.5281/zenodo.18328349
title: AIRELI Replication Package: Grasping AI Reliance in Program Comprehension and Coding through the AIRELI Persona Taxonomy

description: Access Web App Companion

https://aireli.hasel.dev for interactive visualization and more information

Aireli Replication Package

This package contains three primary artifacts:

Full data export

- **File**: `full_data_export_anonymized.json`- **What it is**: An anonymized full data export used for analysis/replication.

Task code base

- **Directory**: `task-codebase/`- **What it is**: The runnable monorepo used to complete the coding tasks (frontend + backend).- **Where to start**:  - Setup instructions: `task-codebase/SETUP.md`  - Task 1: `task-codebase/TASK_1.md`  - Task 2: `task-codebase/TASK_2.md`

Sample solution

- **File**: `sample-solution.patch.ts`- **What it is**: A patch-style sample solution reference for the task codebase.
DOI: 10.15468/dl.4pfntc
title: Occurrence Download

description: A dataset containing 8140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tsuga mertensiana)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 8140 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002704-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uasvu2
title: Occurrence Download

description: A dataset containing 32522655 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((84.85118 80,81.22434 78.88903,73.19076 75.40464,69.376 73.51509,65.16907 70.84119,64.07731 70,60.81953 67.48991,58.23101 65,55.54304 62.17777,53.75162 60,50.25511 55,47.02223 50.37697,45.88136 48.41611,45.48919 46.95438,45.31093 45.13613,45.36016 42.17006,45.7031 39.32486,45.94421 35,46.22296 30,46.27353 29.09275,46.48745 25.88407,46.76078 24.22269,47.30744 22.78235,48.19874 21.28497,49.00071 20,51.33611 16.25804,52.26306 15.04588,52.83349 14.43979,53.76045 13.65545,58.00261 10,63.80513 5,66.66646 2.53442,69.80604 0,71.58643 -1.43721,74.15337 -3.10097,75.47249 -3.71894,77.57595 -3.86154,79.53681 -3.71894,83.52983 -3.18416,87.95067 -1.97199,89.2698 -1.38968,90.48196 -0.78359,91.23065 -0.28446,91.87239 0.32162,92.47847 1.37929,93.19151 3.80363,93.3799 5,94.16722 10,94.95455 15,95.74187 20,96.07932 22.14299,96.78761 25,98.02717 30,99.26673 35,99.81921 37.22853,100.23872 38.48348,101.46324 40,102.79377 41.54717,105.76477 44.16164,106.99765 45,108.73577 46.18192,110.7917 47.1469,112.01218 47.78151,113.61652 48.13803,120.0221 50,129.0322 52.61905,131.73128 53.63556,132.79727 54.19886,133.91815 55,137.07907 58.38915,138.92857 60,144.66931 65,146.28916 66.41084,150.67711 70,155.95084 74.31369,157.94735 76.59542,158.70793 77.83135,158.85054 78.86526,158.42271 79.44758,156.13946 80.29914,153.41956 80.96873,128.76028 83.93972,113.96153 85,108.85461 84.83102,102.61551 84.20117,89.87588 81.53916,84.85118 80))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Passeriformes",
 "Year 2015-2026"
 ]
}

 The dataset includes 32522655 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002683-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3xufc
title: Occurrence Download

description: A dataset containing 525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence)",
 "TaxonKey is Ochotona collaris"
 ]
}

 The dataset includes 525 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002708-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zjhkdg
title: Occurrence Download

description: A dataset containing 41810 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erica carnea"
 ]
}

 The dataset includes 41810 records from 288 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002707-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uhmzt7
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cuba",
 "TaxonKey is Guavina guavina"
 ]
}

 The dataset includes 36 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002709-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tp9mas
title: Occurrence Download

description: A dataset containing 525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence)",
 "TaxonKey is Ochotona collaris"
 ]
}

 The dataset includes 525 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002710-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8jbx2t
title: Occurrence Download

description: A dataset containing 10374 records in GBIF matching the query:
SELECT
 '7' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -41.89415215079384
 AND decimalLatitude &lt;= -37.42857426825602
 AND decimalLongitude &gt;= -71.92889702835036
 AND decimalLongitude &lt;= -63.32053397346014
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 10374 records were derived from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002706-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5880/gfz.ojsj.2025.001
title: Diffusion Coefficients of Chorus Waves

description: This dataset provides diffusion coefficients of chorus waves, which are essential for understanding the scattering and transport of energetic particles in Earth's magnetosphere. The data were generated using the Full Diffusion Code (FDC) (Ni et al., 2008; Shprits and Ni, 2009; Orlova and Shprits, 2011), a widely employed tool in diffusion coefficient studies, and have been used in our research to model wave-particle interactions. By making this dataset available, we aim to support the broader scientific community in their investigations of magnetospheric dynamics and particle behavior. 
 
The dataset includes diffusion coefficients for both upper and lower band chorus waves and is organized into three folders: 
• UBC: Diffusion coefficients for the upper chorus frequency band. 
• LBC_Low_till20: Diffusion coefficients for the lower chorus frequency band up to 20° latitude. 
• LBC_Mid_20-45: Diffusion coefficients for the lower chorus frequency band between 20° and 45° latitude.
DOI: 10.15468/dl.7dmsv3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.292 1.664182, 100.221708 1.658614, 100.153147 1.642047, 100.088008 1.614888, 100.027894 1.577809, 99.97428600000001 1.531721, 99.928505 1.47776, 99.891677 1.417255, 99.86470799999999 1.351697, 99.84826200000001 1.2827, 99.842743 1.211963, 99.848285 1.141227, 99.864752 1.072235, 99.89173700000001 1.006685, 99.92857600000001 0.946191, 99.974361 0.892241, 100.027965 0.846164, 100.088068 0.809095, 100.153191 0.781945, 100.221731 0.765383, 100.292 0.759817, 100.362269 0.765383, 100.430809 0.781945, 100.495932 0.809095, 100.556035 0.846164, 100.609639 0.892241, 100.655424 0.946191, 100.692263 1.006685, 100.719248 1.072235, 100.735715 1.141227, 100.741257 1.211963, 100.735738 1.2827, 100.719292 1.351697, 100.692323 1.417255, 100.655495 1.47776, 100.609714 1.531721, 100.556106 1.577809, 100.495992 1.614888, 100.430853 1.642047, 100.362292 1.658614, 100.292 1.664182))"},{"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/0002711-260120142942310/datasets/export for details.
DOI: 10.15468/dl.ymhxxv
title: Occurrence Download

description: A dataset containing 323 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Living Specimen)",
 "Country is Chile",
 "DatasetKey is one of (Registros de ocurrencia de Eucryphia glutinosa en las regiones del Maule, de Ñuble, del Biobío y La Araucanía, Chile, iNaturalist Research-grade Observations)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Eucryphia glutinosa, Eucryphia glutinosa)"
 ]
}

 The dataset includes 323 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002712-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vc37qc
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Eventos de monitoreo florístico en Sitios de Monitoreo El Roble y Cantillana, Región Metropolitana de Santiago, Chile - Proyecto GEF Corredores Biológicos de Montaña., Registros macroscópicos de madera de la Xiloteca de la Universidad de Chile)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Nothofagus macrocarpa, Nothofagus obliqua macrocarpa)"
 ]
}

 The dataset includes 128 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002714-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18314327
title: Research Data for the Copiapo-Coquimbo Segment - Seismic Tomography Models and Earthquake Catalog

description: This dataset is part of a Scientific Research on seamounts and their influence on the seismotectonics along the Chilean margin. The data comprises:



Initial and Final seismic velocity models for the Copiapo-Coquimbo segment in norhern-central Chile (copiapo0.spec, marot1d, Vp.txt, Vs.txt, VpVs.txt)

Seismic velocity models along the slab interface (Vp-alongslab.txt, Vs-alongslab.txt, VpVs-alongslab.txt) 

Earthquake catalog of the tomography process (copiapo_good.txt)

Focal mechanism catalog with compiled data of most of the available solutions for the region between 22°S to -31°S (comte, pasten, illapel, pardo, gcmt-ttl-cpp)
DOI: 10.5281/zenodo.18314328
title: Research Data for the Copiapo-Coquimbo Segment - Seismic Tomography Models and Earthquake Catalog

description: This dataset is part of a Scientific Research on seamounts and their influence on the seismotectonics along the Chilean margin. The data comprises:



Initial and Final seismic velocity models for the Copiapo-Coquimbo segment in norhern-central Chile (copiapo0.spec, marot1d, Vp.txt, Vs.txt, VpVs.txt)

Seismic velocity models along the slab interface (Vp-alongslab.txt, Vs-alongslab.txt, VpVs-alongslab.txt) 

Earthquake catalog of the tomography process (copiapo_good.txt)

Focal mechanism catalog with compiled data of most of the available solutions for the region between 22°S to -31°S (comte, pasten, illapel, pardo, gcmt-ttl-cpp)
DOI: 10.5281/zenodo.16810855
title: Application of Proteomic Workflows for the Identification of Biomarkers for Retrospective Verification of Sulfur Mustard Intoxication

description: The family of sulfur mustards as potent alkylating agents have been used as chemical warfare agents for over a century. The retrospective verification of exposure and, hence, the confirmation of alleged use of this agent remains a challenging task with high demand for resources in the identification, preparation, and analysis of potential specific biomarkers. We herein report a facile and high-throughput methodology demonstrated for biomedical samples using known proteomic workflows and implementing statistical models. Finally, the synthesis of four alkylated amino acid building blocks (Glu, Asp, Cys, His) and their implementation in four different representative peptide sequences is demonstrated.
DOI: 10.5281/zenodo.16810856
title: Application of Proteomic Workflows for the Identification of Biomarkers for Retrospective Verification of Sulfur Mustard Intoxication

description: The family of sulfur mustards as potent alkylating agents have been used as chemical warfare agents for over a century. The retrospective verification of exposure and, hence, the confirmation of alleged use of this agent remains a challenging task with high demand for resources in the identification, preparation, and analysis of potential specific biomarkers. We herein report a facile and high-throughput methodology demonstrated for biomedical samples using known proteomic workflows and implementing statistical models. Finally, the synthesis of four alkylated amino acid building blocks (Glu, Asp, Cys, His) and their implementation in four different representative peptide sequences is demonstrated.
DOI: 10.15468/dl.qgxxqw
title: Occurrence Download

description: A dataset containing 204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Chile",
 "DatasetKey is one of (Base de datos de especies y especímenes de la flora costera del norte de Chile (plan RECOGE), iNaturalist Research-grade Observations)",
 "OccurrenceStatus is Present",
 "TaxonKey is Prosopis chilensis"
 ]
}

 The dataset includes 204 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002715-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qp4fkc
title: Occurrence Download

description: A dataset containing 1007 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-73.35599999999999 4.753156, -73.426503 4.747586, -73.495267 4.731013, -73.560596 4.703846, -73.620879 4.666755, -73.674629 4.620655, -73.720524 4.566683, -73.757434 4.506168, -73.784451 4.440603, -73.80091299999999 4.371602, -73.80641799999999 4.300867, -73.800831 4.230137, -73.784295 4.161156, -73.75721900000001 4.095619, -73.72027199999999 4.035141, -73.674364 3.981209, -73.620626 3.935149, -73.56038100000001 3.898095, -73.49511099999999 3.870956, -73.426421 3.854402, -73.35599999999999 3.848838, -73.285579 3.854402, -73.21688899999999 3.870956, -73.151619 3.898095, -73.091374 3.935149, -73.03763600000001 3.981209, -72.99172799999999 4.035141, -72.954781 4.095619, -72.927705 4.161156, -72.911169 4.230137, -72.905582 4.300867, -72.91108699999999 4.371602, -72.927549 4.440603, -72.954566 4.506168, -72.99147600000001 4.566683, -73.03737099999999 4.620655, -73.091121 4.666755, -73.151404 4.703846, -73.216733 4.731013, -73.28549700000001 4.747586, -73.35599999999999 4.753156))"},{"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 1007 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002716-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.