cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18450350
title: Supplementary Dataset for Global Decarbonisation via CO₂ Capture and E-Fuels: A Multi-Scale Spatial Assessment with Case Studies in Nigeria, Kenya, and South Africa.

description: This dataset supports the study on the techno-economic and spatial assessment of CO₂ capture, e-fuel production, and carbon credit potential in Nigeria, Kenya, and South Africa. It provides the structured input data, methodological parameters, and processed results used to quantify national CO₂ capture availability, synthetic fuel production potential, and associated climate finance opportunities.

 

The dataset is organised into three appendices:

 

Appendix A – Model Parameters

Contains all key techno-economic, environmental, and conversion parameters used in the analysis, including:

 





CO₂ capture efficiencies for point sources and direct air capture (DAC)







Retrofit fractions and DAC deployment assumptions







Literature-based CO₂-to-fuel conversion factors







Technology performance and process assumptions







Carbon price assumptions used for estimating potential carbon credit revenues



Appendix B – Methodological Notes

Documents how production and financial potentials were calculated, including:

 





Equations used to convert captured CO₂ into e-fuel production volumes







Assumptions for allocating CO₂ across fuel pathways







Scenario and sensitivity parameter definitions







Method used to estimate potential carbon credit revenues from captured CO₂ under compliance and voluntary market price ranges



Appendix C – Results Tables (100% CO₂ Utilisation Case)

Provides country-level model outputs, including:

 





Captured CO₂ by source type







Upper-bound e-fuel production potentials







Estimated carbon credit revenue ranges



This dataset enhances transparency and reproducibility while enabling further research on carbon capture utilisation, synthetic fuel supply chains, and climate finance mechanisms in emerging economies.
DOI: 10.5281/zenodo.18480435
title: Cryptocurrencies and Energy Markets database
DOI: 10.5281/zenodo.18480436
title: Cryptocurrencies and Energy Markets database
DOI: 10.5517/ccdc.csd.cc28mchs
title: CCDC 2103985: Experimental Crystal Structure Determination

description: Related Article: William Harrison, Krishnan Srinivasan|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d1pms
title: CCDC 2206165: Experimental Crystal Structure Determination

description: Related Article: Yuto Nakamura, Shosuke Sataki, Yukihiro Yoshida, Gunzi Saito, Hideo Kishida |2025|J.Phys.Soc.Jpn.|||doi:10.7566/JPSJ.94.064709
description: Related Article: Yukihiro Yoshida|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d3fzy
title: CCDC 2207850: Experimental Crystal Structure Determination

description: Related Article: Yuto Nakamura, Shosuke Sataki, Yukihiro Yoshida, Gunzi Saito, Hideo Kishida |2025|J.Phys.Soc.Jpn.|||doi:10.7566/JPSJ.94.064709
description: Related Article: Yukihiro Yoshida|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dk1bc
title: CCDC 2220912: Experimental Crystal Structure Determination

description: Related Article: William Harrison, John Plater|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fbqk2
title: CCDC 2244634: Experimental Crystal Structure Determination

description: Related Article: William Harrison, M John Plater|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g4y2n
title: CCDC 2268861: Experimental Crystal Structure Determination

description: Related Article: William Harrison, M John Plater|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g4y3p
title: CCDC 2268862: Experimental Crystal Structure Determination

description: Related Article: William Harrison, M John Plater|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hxs29
title: CCDC 2321561: Experimental Crystal Structure Determination

description: Related Article: Taghreed M.A. Jazzazi|2025|CSD Communication|||
description: Related Article: Taghreed M. A. Jazzazi, Tareq M. A. Al-Shboul, Mohammad El-khateeb, Hayato Moriyama, Yukihiro Yoshida, Hiroshi Kitagawa |2024|Transition Met.Chem.|49|245|doi:10.1007/s11243-024-00578-7
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hxs3b
title: CCDC 2321562: Experimental Crystal Structure Determination

description: Related Article: Taghreed M.A. Jazzazi|2025|CSD Communication|||
description: Related Article: Taghreed M. A. Jazzazi, Tareq M. A. Al-Shboul, Mohammad El-khateeb, Hayato Moriyama, Yukihiro Yoshida, Hiroshi Kitagawa |2024|Transition Met.Chem.|49|245|doi:10.1007/s11243-024-00578-7
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hxs4c
title: CCDC 2321563: Experimental Crystal Structure Determination

description: Related Article: Taghreed M.A. Jazzazi|2025|CSD Communication|||
description: Related Article: Taghreed M. A. Jazzazi, Tareq M. A. Al-Shboul, Mohammad El-khateeb, Hayato Moriyama, Yukihiro Yoshida, Hiroshi Kitagawa |2024|Transition Met.Chem.|49|245|doi:10.1007/s11243-024-00578-7
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hxs5d
title: CCDC 2321564: Experimental Crystal Structure Determination

description: Related Article: Taghreed M.A. Jazzazi|2025|CSD Communication|||
description: Related Article: Taghreed M. A. Jazzazi, Tareq M. A. Al-Shboul, Mohammad El-khateeb, Hayato Moriyama, Yukihiro Yoshida, Hiroshi Kitagawa |2024|Transition Met.Chem.|49|245|doi:10.1007/s11243-024-00578-7
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2l4brv
title: CCDC 2387457: Experimental Crystal Structure Determination

description: Related Article: Kensuke Kiyokawa, Koki Nakano, Daichi Okumura, Satoshi Minakata|2025|Chem.Asian J.|20|e202401493|doi:10.1002/asia.202401493
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.18480447
title: NANOTEXNOLOGIYADA FIZIK QONUNLARNING QO'LLANILISHI

description: Ushbu maqolada nanotexnologiyada fizik qonunlarning qo‘llanilishi nazariy va amaliy jihatdan tahlil qilinadi. Nanoo‘lchamdagi tizimlarda klassik fizika qonunlarining cheklanganligi hamda kvant mexanikasi, elektromagnit hodisalar, termodinamika va statistik fizikaning ustuvor ahamiyati yoritib beriladi. Tadqiqotda nanoo‘lcham effektlari, sirt hodisalari va kvant jarayonlarning nanotexnologik materiallar hamda qurilmalar xossalariga ta’siri ko‘rib chiqiladi. Olingan natijalar nanotexnologiyaning elektronika, energetika va tibbiyot sohalarida qo‘llanilish istiqbollarini asoslashga xizmat qiladi.
DOI: 10.5281/zenodo.18480446
title: NANOTEXNOLOGIYADA FIZIK QONUNLARNING QO'LLANILISHI

description: Ushbu maqolada nanotexnologiyada fizik qonunlarning qo‘llanilishi nazariy va amaliy jihatdan tahlil qilinadi. Nanoo‘lchamdagi tizimlarda klassik fizika qonunlarining cheklanganligi hamda kvant mexanikasi, elektromagnit hodisalar, termodinamika va statistik fizikaning ustuvor ahamiyati yoritib beriladi. Tadqiqotda nanoo‘lcham effektlari, sirt hodisalari va kvant jarayonlarning nanotexnologik materiallar hamda qurilmalar xossalariga ta’siri ko‘rib chiqiladi. Olingan natijalar nanotexnologiyaning elektronika, energetika va tibbiyot sohalarida qo‘llanilish istiqbollarini asoslashga xizmat qiladi.
DOI: 10.15468/dl.gfdbhp
title: Occurrence Download

description: A dataset containing 2665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Antigonon leptopus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2665 records from 275 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011369-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4f3agy
title: Occurrence Download

description: A dataset containing 26058 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "DatasetKey is one of (Observation.org, Nature data from around the World, iNaturalist Research-grade Observations)",
 "OccurrenceStatus is Present",
 "TaxonKey is Podarcis muralis",
 "Year 2010-2020"
 ]
}

 The dataset includes 26058 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011370-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18480190
title: Contrasting responses of Norway spruce (Picea abies (L.) H.Karst) and European beech (Fagus sylvatica L.) seedlings to warming in the Western Carpathians: growth, root and leaf traits, physiology
DOI: 10.5281/zenodo.18480189
title: Contrasting responses of Norway spruce (Picea abies (L.) H.Karst) and European beech (Fagus sylvatica L.) seedlings to warming in the Western Carpathians: growth, root and leaf traits, physiology
DOI: 10.15468/dl.caux2t
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bactrocera tsuneonis",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011371-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/t31k-1v06
title: "Exoskeleton Controller Data"

description: "Safe and compliant human-robot interaction in lower-limb exoskeletons encounters dynamic parameter uncer\u00adtainties and nonlinear friction, degrading position tracking accuracy and leading to excessively high interaction impedance. In order to solve this problem, this paper proposes a state-con\u00adstrained observer based adaptive neural admittance control strategy. In particular, we use an outer-loop admittance model that maps interaction forces to desired trajectories, such that the desired compliant behavior is achieved. To achieve high-fidelity transparency, a composite inner-loop controller is established. Specifically, by leveraging the velocity tracking error as a sensitive indicator of interaction lag, a Nonlinear Disturbance Observer (NDO) acts as a feedforward compensator to actively 'mask' the exoskeleton's inherent friction and inertia. This is further augmented by a Radial Basis Function Neural Network (RBFNN) to handle unstructured high-frequency dynamicsMoreover, the operational safety is theoretically guaranteed by the inclusion of a Barrier Lyapunov Function (BLF), which strictly enforces the position and velocity constraints. Both simulations and experiments show us that compared with the standard backstepping control, the proposed approach lowers the RMSE and MAX on position tracking by 48.7% and 35.88%, respectively. Most significantly, the method is quite effective in reducing system impedance, achieving a 49.52% reduction in human-robot interaction torque, thus ensuring enhanced human interaction compliance and safety."
DOI: 10.15468/dl.wd236q
title: Occurrence Download

description: A dataset containing 47453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Podarcis muralis",
 "Year 2020-2026"
 ]
}

 The dataset includes 47453 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011372-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cfmupy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is NABU|naturgucker",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Corvus corone cornix",
 "Year 2006-2026"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011362-260129131611470/datasets/export for details.
DOI: 10.5281/zenodo.18480404
title: Dataset for: Using Transformer-based models for Vietnamese language detection

description: Abstract: This dataset contains the training and testing data used in the research manuscript "Using Transformer-based models for Vietnamese language detection" (PLOS ONE). The data consists of labeled text sequences distinguishing Vietnamese language content from other languages, utilized to fine-tune Transformer-based models.

Data Content: The dataset aggregates data from multiple sources to ensure robustness against orthographic noise and mixed-language contexts. It includes:





Self-collected data: News articles crawled from VNExpress (Vietnamese and English editions), adhering to the source's robots.txt and terms of service.




Open-source subsets: Selected samples from Binhvq News Corpus, vi-error-correction-2.0, and OPUS Tatoeba.



Hugging Face Repository: For ease of access, code integration, and the full version of the dataset including any future updates, please visit the authors' Hugging Face repository:





URL: https://huggingface.co/datasets/Cerberose/vietnamese-classification-dataset




Usage: This dataset can be loaded directly in Python using the datasets library.



Files Included:





train.csv: The training set containing labeled text samples.




test.csv: The hold-out test set used for evaluating model performance.



Citation: If you use this dataset, please cite the associated PLOS ONE article.
DOI: 10.5281/zenodo.18480403
title: Dataset for: Using Transformer-based models for Vietnamese language detection

description: Abstract: This dataset contains the training and testing data used in the research manuscript "Using Transformer-based models for Vietnamese language detection" (PLOS ONE). The data consists of labeled text sequences distinguishing Vietnamese language content from other languages, utilized to fine-tune Transformer-based models.

Data Content: The dataset aggregates data from multiple sources to ensure robustness against orthographic noise and mixed-language contexts. It includes:





Self-collected data: News articles crawled from VNExpress (Vietnamese and English editions), adhering to the source's robots.txt and terms of service.




Open-source subsets: Selected samples from Binhvq News Corpus, vi-error-correction-2.0, and OPUS Tatoeba.



Hugging Face Repository: For ease of access, code integration, and the full version of the dataset including any future updates, please visit the authors' Hugging Face repository:





URL: https://huggingface.co/datasets/Cerberose/vietnamese-classification-dataset




Usage: This dataset can be loaded directly in Python using the datasets library.



Files Included:





train.csv: The training set containing labeled text samples.




test.csv: The hold-out test set used for evaluating model performance.



Citation: If you use this dataset, please cite the associated PLOS ONE article.
DOI: 10.15468/dl.utn9ea
title: Occurrence Download

description: A dataset containing 1661 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bistorta suffulta",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1661 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011374-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hgxe55
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orseolia oryzae",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011375-260129131611470/datasets/export for details.
DOI: 10.15468/dl.h494rk
title: Occurrence Download

description: A dataset containing 6007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Podarcis muralis",
 "Year 1980-1990"
 ]
}

 The dataset includes 6007 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011373-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2hrhq
title: Occurrence Download

description: A dataset containing 60677 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alliaria petiolata, Alliaria officinalis, Alliaria officinalis, Alliaria officinalis)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 60677 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011328-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ak369
title: Occurrence Download

description: A dataset containing 1472960 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus robur",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1472960 records from 3650 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011297-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1214773.10fu
title: SH1214773.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.