cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2q2rq9
title: CCDC 2505101: Experimental Crystal Structure Determination

description: Related Article: Sergey S. Patrushev, Tatyana V. Rybalova, Yulia V. Meshkova, Mariya K. Marenina, Tatyana G. Tolstikova, Elvira E. Shults|2026|Tetrahedron|194||doi:10.1016/j.tet.2026.135173
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.cc2q3kt7
title: CCDC 2505879: Experimental Crystal Structure Determination

description: Related Article: Priyanka R. Sarker, Shahana Akter, Md. Nazmul Huda, Md. Nayem Hossen, Urbana Kawsar Mitali, Joyanta K. Saha, Vladimir N. Nesterov, Graeme Hogarth, Shariff E. Kabir, Jagodish C. Sarker|2026|J.Mol.Struct.|1359|145391|doi:10.1016/j.molstruc.2026.145391
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.cc2q3kv8
title: CCDC 2505880: Experimental Crystal Structure Determination

description: Related Article: Priyanka R. Sarker, Shahana Akter, Md. Nazmul Huda, Md. Nayem Hossen, Urbana Kawsar Mitali, Joyanta K. Saha, Vladimir N. Nesterov, Graeme Hogarth, Shariff E. Kabir, Jagodish C. Sarker|2026|J.Mol.Struct.|1359|145391|doi:10.1016/j.molstruc.2026.145391
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.cc2q3zqk
title: CCDC 2506279: Experimental Crystal Structure Determination

description: Related Article: Junseong Jang, Chaewon Kim, Junhwan Won, Seung Youn Hong|2026|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c21279
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.cc2q3zrl
title: CCDC 2506280: Experimental Crystal Structure Determination

description: Related Article: Junseong Jang, Chaewon Kim, Junhwan Won, Seung Youn Hong|2026|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c21279
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.cc2q3zsm
title: CCDC 2506281: Experimental Crystal Structure Determination

description: Related Article: Junseong Jang, Chaewon Kim, Junhwan Won, Seung Youn Hong|2026|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c21279
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.18622158
title: National Museum of Natural History Type Data: NMNH type specimens

description: Type specimen information extracted from the research collections of the National Museum of Natural History (NMNH). 

https://collections.nmnh.si.edu/search/

source: 
https://collections.nmnh.si.edu/ipt/resource?r=nmnh_extant_dwc-a
Type specimen information extracted from the research collections of the National Museum of Natural History (NMNH). 
https://collections.nmnh.si.edu/search/
DOI: 10.5281/zenodo.13321538
title: National Museum of Natural History Type Data: NMNH type specimens

description: Type specimen information extracted from the research collections of the National Museum of Natural History (NMNH). 

https://collections.nmnh.si.edu/search/

source: 
https://collections.nmnh.si.edu/ipt/resource?r=nmnh_extant_dwc-a
Type specimen information extracted from the research collections of the National Museum of Natural History (NMNH). 
https://collections.nmnh.si.edu/search/
DOI: 10.7910/dvn/l9u1zj
title: PED-2020

description: Processed HOBO environmental data for 2020.
DOI: 10.4121/5fe71572-e7a9-4c07-88dd-3dfda3ff99a2
title: Data supporting the publication "Qubit error bursts in superconducting quantum processors of Quantum Inspire: quasiparticle pumping and anomalous time dependence"

description: Raw experimental data from our research on the effects of ionizing radiation on the two superconducting processors of Quantum Inspire "Starmon-5" and "Starmon-7". The data set includes HDF5 with the raw measurements shots for varying measurement cycle times (per protocol, see published paper) and varying number of pi-pulses for fixed measurement cycle time, for both A and B fridge and for both processors. Measurement shots were recorded on Zurich Instruments UHFQC readout modules and processed/stored as binary outcomes with the use of the Python package PycQED. Includes README files for the data concerning each processor. The analysis code is available here: https://github.com/DiCarloLab-Delft/QubitErrorBursts
DOI: 10.4121/5fe71572-e7a9-4c07-88dd-3dfda3ff99a2.v1
title: Data supporting the publication "Qubit error bursts in superconducting quantum processors of Quantum Inspire: quasiparticle pumping and anomalous time dependence"

description: Raw experimental data from our research on the effects of ionizing radiation on the two superconducting processors of Quantum Inspire "Starmon-5" and "Starmon-7". The data set includes HDF5 with the raw measurements shots for varying measurement cycle times (per protocol, see published paper) and varying number of pi-pulses for fixed measurement cycle time, for both A and B fridge and for both processors. Measurement shots were recorded on Zurich Instruments UHFQC readout modules and processed/stored as binary outcomes with the use of the Python package PycQED. Includes README files for the data concerning each processor. The analysis code is available here: https://github.com/DiCarloLab-Delft/QubitErrorBursts
DOI: 10.17026/dans-x8n-3gyx
title: Archeologische waarneming aan de Molenstraat te Gorinchem (Blauwe Toren)

description: &lt;p&gt;onderzoeksrapport&lt;/p&gt;
DOI: 10.5281/zenodo.18115243
title: Country-PBR-results
DOI: 10.5281/zenodo.18115242
title: Country-PBR-results
DOI: 10.5281/zenodo.18405233
title: All STEC Pangenome graphs

description: This repository contains all pangenome graphs created for the paper: "Exploring differences across pangenome-graph representations using Escherichia coli O157:H7 as a model"
DOI: 10.5281/zenodo.18405232
title: All STEC Pangenome graphs

description: This repository contains all pangenome graphs created for the paper: "Exploring differences across pangenome-graph representations using Escherichia coli O157:H7 as a model"
DOI: 10.7910/dvn/bfc77l
title: PED-2021

description: Processed HOBO environmental data for 2021.
DOI: 10.5281/zenodo.18622187
title: xTB Optimized Structures for Ion-pairing 7/8 Member Ring
DOI: 10.5281/zenodo.17605218
title: xTB Optimized Structures for Ion-pairing 7/8 Member Ring
DOI: 10.6084/m9.figshare.31324600
title: Data and metadata from Castro et al._Animal-Plant Interactions Under Defaunation Consequences for Amazonian Trees of Commercial Interest (published in Biotropica)

description: The data are derived from the manuscript "Animal–Plant Interactions Under Defaunation: Consequences for Amazonian Trees of Commercial Interest", published in Biotropica, which addresses an ecologically and conservation-relevant topic: the cascading effects of mammal defaunation on seed removal and fate in Amazonian forests. This study combines an exclusion experiment that simulates a defaunation gradient to test how the loss of medium and large bodied mammals influences seed removal for commercially valuable tree species in the Amazon.
DOI: 10.6084/m9.figshare.31324600.v2
title: Data and metadata from Castro et al._Animal-Plant Interactions Under Defaunation Consequences for Amazonian Trees of Commercial Interest (published in Biotropica)

description: The data are derived from the manuscript "Animal–Plant Interactions Under Defaunation: Consequences for Amazonian Trees of Commercial Interest", published in Biotropica, which addresses an ecologically and conservation-relevant topic: the cascading effects of mammal defaunation on seed removal and fate in Amazonian forests. This study combines an exclusion experiment that simulates a defaunation gradient to test how the loss of medium and large bodied mammals influences seed removal for commercially valuable tree species in the Amazon.
DOI: 10.6084/m9.figshare.31324600.v1
title: Castro Arlison et al._Animal_Plant Interactions Under Defaunation Consequences for Amazonian Trees of Commercial Interest

description: The data are derived from the manuscript "Animal–Plant Interactions Under Defaunation: Consequences for Amazonian Trees of Commercial Interest" which addresses an ecologically and conservation-relevant topic: the cascading effects of mammal defaunation on seed removal and fate in Amazonian forests. This study combines an exclusion experiment that simulates a defaunation gradient to test how the loss of medium and large bodied mammals influences seed removal for commercially valuable tree species in the Amazon.
DOI: 10.5281/zenodo.18620051
title: Curated Multi-Domain Energy and Socio-Economic Dataset for a 12-Country ENTSO-E Power System

description: This curated dataset integrates publicly available, multi-domain data representing the energy systems and socio-economic context of 12 ENTSO-E countries. The original data are neither generated nor owned by the author(s); rather, they are systematically aggregated from the following open-access sources:





Electricity and Grid Data: Load, solar PV generation, wind generation, and cross-border power flows obtained from the ENTSO-E Transparency Platform.




Meteorological Variables: Hourly atmospheric variables (e.g., air temperature, pressure) derived from ERA5 reanalysis data on pressure levels.




Socio-Economic Indicators: Country-level population and GDP per capita sourced from the World Bank Data360 database.



The dataset has been harmonized and structured to support research on spatio-temporal graph neural network (STGNN)–based load forecasting. Preprocessing procedures (e.g., temporal alignment, spatial aggregation, feature engineering, and normalization) are study-specific and tailored to the experimental design of each application.

For methodological details and preprocessing specifications, refer to: Grid-Aware Probabilistic Residual Load Forecasting.
DOI: 10.5281/zenodo.18620052
title: Curated Multi-Domain Energy and Socio-Economic Dataset for a 12-Country ENTSO-E Power System

description: This curated dataset integrates publicly available, multi-domain data representing the energy systems and socio-economic context of 12 ENTSO-E countries. The original data are neither generated nor owned by the author(s); rather, they are systematically aggregated from the following open-access sources:





Electricity and Grid Data: Load, solar PV generation, wind generation, and cross-border power flows obtained from the ENTSO-E Transparency Platform.




Meteorological Variables: Hourly atmospheric variables (e.g., air temperature, pressure) derived from ERA5 reanalysis data on pressure levels.




Socio-Economic Indicators: Country-level population and GDP per capita sourced from the World Bank Data360 database.



The dataset has been harmonized and structured to support research on spatio-temporal graph neural network (STGNN)–based load forecasting. Preprocessing procedures (e.g., temporal alignment, spatial aggregation, feature engineering, and normalization) are study-specific and tailored to the experimental design of each application.

For methodological details and preprocessing specifications, refer to: Grid-Aware Probabilistic Residual Load Forecasting.
DOI: 10.15468/8sez8y
title: Traité d'ornithologie, ou, Tableau méthodique des ordres, sous-ordres, familles, tribus, genres, sous-genres et races d'oiseaux: ouvrage entièrement neuf, formant le catalogue le plus complet des espèces réunies dans les collections publiques de la France / par R. P. Lesson

description: This dataset contains the digitized treatments in Plazi based on the original book chapter Lesson, Par B. P. (1831): Traité d'ornithologie, ou, Tableau méthodique des ordres, sous-ordres, familles, tribus, genres, sous-genres et races d'oiseaux: ouvrage entièrement neuf, formant le catalogue le plus complet des espèces réunies dans les collections publiques de la France / par R. P. Lesson. In: Sous-genre. Ornismye; Ornismya, Less. PARIS, Chez F. G. LEVBAULT, rue de la Harpe, n. ° 81: Zimmer, J. T. Ayer Lib.: 1-24, DOI: 10.5281/zenodo.18621871
DOI: 10.7910/dvn/zwqi8a
title: PED-2022

description: Processed HOBO environmental data for 2022.
DOI: 10.6084/m9.figshare.27368823
title: <b>Symbiosis type in nitrogen fixing trees determines greenhouse gas emissions: a global meta-analysis</b>

description: N-fixing trees is widely spread for planting forest and agroforestry ecosystems due to their advantages for improving soil quality and carbon sequestration. However, the impact of N-fixing trees on N<sub>2</sub>O, CH<sub>4</sub>, and CO<sub>2</sub><sub> </sub>fluxes relative to non-fixing trees remains uncertain. We use meta-analysis to discover this important knowledge gap. Specific description for this study and related dataset and code were attached.
DOI: 10.6084/m9.figshare.27368823.v5
title: <b>Symbiosis type in nitrogen fixing trees determines greenhouse gas emissions: a global meta-analysis</b>

description: N-fixing trees is widely spread for planting forest and agroforestry ecosystems due to their advantages for improving soil quality and carbon sequestration. However, the impact of N-fixing trees on N<sub>2</sub>O, CH<sub>4</sub>, and CO<sub>2</sub><sub> </sub>fluxes relative to non-fixing trees remains uncertain. We use meta-analysis to discover this important knowledge gap. Specific description for this study and related dataset and code were attached.
DOI: 10.6084/m9.figshare.27368823.v4
title: <b>Symbiosis type in nitrogen fixing trees determines greenhouse gas emissions: a global meta-analysis</b>

description: N-fixing trees is widely spread for planting forest and agroforestry ecosystems due to their advantages for improving soil quality and carbon sequestration. However, the impact of N-fixing trees on N<sub>2</sub>O, CH<sub>4</sub>, and CO<sub>2</sub><sub> </sub>fluxes relative to non-fixing trees remains uncertain. We use meta-analysis to discover this important knowledge gap. Specific description for this study and related dataset and code were attached.
DOI: 10.6084/m9.figshare.31257538
title: Data used in graphs

description: Data set supporting a research paper describing Alternaria alternata extracellular vesicles
DOI: 10.6084/m9.figshare.31257538.v1
title: Data used in graphs

description: Data set supporting a research paper describing Alternaria alternata extracellular vesicles
DOI: 10.7910/dvn/jcg6yd
title: PED-2023

description: Processed HOBO environmental data for 2023.
DOI: 10.5281/zenodo.18325385
title: Model Data for  "The Prevalence of Arctic Multilayer Clouds and their Observed and Modelled Characteristics"

description: This publication includes the model datasets generated and analysed for the publication

Wallentin, G., Ickes, L., Achtert, P., Tesche, M., and Hoose, C.: The Prevalence of Arctic Multilayer Clouds and their Observed and Modelled Characteristics, EGUsphere [Accepted], https://doi.org/10.5194/egusphere-2025-5070, 2025.

It contains:

Meteogram_MOSAiC.tar: Model meteograms, 2D outputs following the location of the Polarstern during MOSAiC 22 August - 22 September 2020

Meteogram_Utqiavik.tar: Model meteograms, 2D outputs at the research station in Utqiavik (71.275N, 156.641W) 22 August - 22 September 2020 (for future usage)

Meteogram_MOSAiC.tar: Model meteograms, 2D outputs at the research station Ny Alesund (78.923N, 11.922E) 22 August - 22 September 2020 (for future usage)

CONSTANTS_icongrid__20200822T000000Z.nc: ICON file with constants, used for MLC algorithm

Model_Processed_data/: Processed model data for plotting

Plotting_scripts/: Jupyter Notebooks used for plotting figures in the publication

MLC_algorithm: Jupyter Notebook for the calculation of MLCs using ICON output.

 

 

Original observational files for the MLC algorithm can be found through Achtert et al. 2025.

Achtert, P., Seelig, T., Wallentin, G., Ickes, L., Shupe, M. D., Hoose, C., and Tesche, M.: Occurrence of seeding multi-layer clouds in the Arctic from ground-based observations, EGUsphere [Accepted], https://doi.org/10.5194/egusphere-2025-3529, 2025.
DOI: 10.5281/zenodo.15829737
title: Model Data for  "The Prevalence of Arctic Multilayer Clouds and their Observed and Modelled Characteristics"

description: This publication includes the model datasets generated and analysed for the publication

Wallentin, G., Ickes, L., Achtert, P., Tesche, M., and Hoose, C.: The Prevalence of Arctic Multilayer Clouds and their Observed and Modelled Characteristics, EGUsphere [Accepted], https://doi.org/10.5194/egusphere-2025-5070, 2025.

It contains:

Meteogram_MOSAiC.tar: Model meteograms, 2D outputs following the location of the Polarstern during MOSAiC 22 August - 22 September 2020

Meteogram_Utqiavik.tar: Model meteograms, 2D outputs at the research station in Utqiavik (71.275N, 156.641W) 22 August - 22 September 2020 (for future usage)

Meteogram_MOSAiC.tar: Model meteograms, 2D outputs at the research station Ny Alesund (78.923N, 11.922E) 22 August - 22 September 2020 (for future usage)

CONSTANTS_icongrid__20200822T000000Z.nc: ICON file with constants, used for MLC algorithm

Model_Processed_data/: Processed model data for plotting

Plotting_scripts/: Jupyter Notebooks used for plotting figures in the publication

MLC_algorithm: Jupyter Notebook for the calculation of MLCs using ICON output.

 

 

Original observational files for the MLC algorithm can be found through Achtert et al. 2025.

Achtert, P., Seelig, T., Wallentin, G., Ickes, L., Shupe, M. D., Hoose, C., and Tesche, M.: Occurrence of seeding multi-layer clouds in the Arctic from ground-based observations, EGUsphere [Accepted], https://doi.org/10.5194/egusphere-2025-3529, 2025.
DOI: 10.5281/zenodo.18621961
title: Causes and factors associated with the episode of external injuries in cart-horses of Mekelle town, Tigray, North Ethiopia

description: Originally published as: Sisay WZ (2013). Causes and Factors Associated with the Episode of External Injuries in Cart-Horses of Mekelle Town, Tigray, North Ethiopia. Journal of Veterinary Advances, 3(10):265-274. ISSN: 2251-7685. Received: 04 Sept 2012; Accepted: 15 Sept 2012; Published online: 30 Oct 2013. This archived copy is shared for academic and non-commercial research purposes.
DOI: 10.15468/dl.zs74nr
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((29.29112 -22.47019,29.29867 -22.48675,29.31025 -22.51213,29.3104 -22.51236,29.31062 -22.51254,29.31089 -22.51265,29.31118 -22.51268,29.31147 -22.51263,29.3126 -22.51226,29.3126 -22.51226,29.3454 -22.50149,29.34554 -22.50144,29.36674 -22.49073,29.36677 -22.49071,29.38708 -22.47942,29.40507 -22.46941,29.40528 -22.46925,29.40544 -22.46904,29.40553 -22.4688,29.40554 -22.46854,29.40547 -22.46829,29.39601 -22.44702,29.39454 -22.44372,29.39454 -22.44371,29.39452 -22.44366,29.3902 -22.43396,29.39004 -22.43372,29.38981 -22.43354,29.38953 -22.43343,29.38922 -22.43341,29.38893 -22.43348,29.38863 -22.43359,29.38632 -22.43421,29.3862 -22.43423,29.3862 -22.43423,29.38606 -22.43426,29.37914 -22.43611,29.36217 -22.44066,29.36216 -22.44066,29.35992 -22.44129,29.35978 -22.44134,29.3585 -22.44192,29.35848 -22.44193,29.35287 -22.44467,29.34991 -22.44611,29.34857 -22.44676,29.34754 -22.4472,29.34642 -22.44764,29.34642 -22.44764,29.31802 -22.45872,29.29164 -22.469,29.29138 -22.46915,29.29118 -22.46937,29.29107 -22.46963,29.29104 -22.46991,29.29112 -22.47019)),((29.25449 -22.4136,29.25997 -22.4475,29.24996 -22.48712,29.24994 -22.48742,29.25002 -22.48771,29.25021 -22.48795,29.25046 -22.48813,29.25077 -22.48822,29.25109 -22.48821,29.25139 -22.48811,29.26398 -22.48133,29.27657 -22.47456,29.27678 -22.4744,29.27694 -22.47419,29.28163 -22.46572,29.28983 -22.45091,29.29661 -22.43865,29.29671 -22.43835,29.29669 -22.43803,29.29172 -22.41768,29.29162 -22.41742,29.29143 -22.41721,29.29119 -22.41706,29.29091 -22.41698,29.25939 -22.41305,29.25558 -22.41258,29.25528 -22.41258,29.255 -22.41267,29.25476 -22.41284,29.25458 -22.41306,29.25449 -22.41333,29.25449 -22.4136)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 51 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011590-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18621960
title: Causes and factors associated with the episode of external injuries in cart-horses of Mekelle town, Tigray, North Ethiopia

description: Originally published as: Sisay WZ (2013). Causes and Factors Associated with the Episode of External Injuries in Cart-Horses of Mekelle Town, Tigray, North Ethiopia. Journal of Veterinary Advances, 3(10):265-274. ISSN: 2251-7685. Received: 04 Sept 2012; Accepted: 15 Sept 2012; Published online: 30 Oct 2013. This archived copy is shared for academic and non-commercial research purposes.
DOI: 10.6084/m9.figshare.31324918
title: Comparative Machine Learning for MRI-Derived Hippocampal Morphometry in Hippocampal Sclerosis: A Nested Cross-Validation Study

description: We analyzed 67 patients from Viet Duc Hospital (2021–2025), including a subset of surgically resected cases with histopathology. Reduced bilateral hippocampal and cortical morphometric features were used to train seven models (Logistic Regression L2, Elastic Net Logistic Regression, Calibrated Linear support vector machine (SVM), radial basis function (RBF) SVM, Random Forest, XGBoost, LightGBM)
DOI: 10.6084/m9.figshare.31324918.v1
title: Comparative Machine Learning for MRI-Derived Hippocampal Morphometry in Hippocampal Sclerosis: A Nested Cross-Validation Study

description: We analyzed 67 patients from Viet Duc Hospital (2021–2025), including a subset of surgically resected cases with histopathology. Reduced bilateral hippocampal and cortical morphometric features were used to train seven models (Logistic Regression L2, Elastic Net Logistic Regression, Calibrated Linear support vector machine (SVM), radial basis function (RBF) SVM, Random Forest, XGBoost, LightGBM)