cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25982799
title: Performance evaluation of low-carbon development at key nodes in the maritime supply chain

description: How to effectively monitor and evaluate the low-carbon level of the key nodes in the maritime supply chain is a important challenge for the sustainable development of ocean. This article adopted the ‘bottom-up’ and ‘top-down’ estimation methods comprehensively to measure the carbon emissions of ‘ship-port’ system. A new cross-efficiency network DEA (Data envelopment analysis) model has been established to evaluate the low-carbon efficiency of the ‘ship-port’ system. Finally, this article takes 17 listed ports along the coast of China as examples for case analysis. The main contributions are as follows: First, this paper adds a methodology for monitoring carbon emissions from ships using Automatic Identification System (AIS) data. Second, compared with the European monitoring, reporting, and verification (MRV) system, the estimation and assessment of carbon emissions from ships has been expanded to the ‘ship-port’ system. Third, the newly constructed model can better evaluate the low-carbon performance of the system.
DOI: 10.6084/m9.figshare.25982799.v1
title: Performance evaluation of low-carbon development at key nodes in the maritime supply chain

description: How to effectively monitor and evaluate the low-carbon level of the key nodes in the maritime supply chain is a important challenge for the sustainable development of ocean. This article adopted the ‘bottom-up’ and ‘top-down’ estimation methods comprehensively to measure the carbon emissions of ‘ship-port’ system. A new cross-efficiency network DEA (Data envelopment analysis) model has been established to evaluate the low-carbon efficiency of the ‘ship-port’ system. Finally, this article takes 17 listed ports along the coast of China as examples for case analysis. The main contributions are as follows: First, this paper adds a methodology for monitoring carbon emissions from ships using Automatic Identification System (AIS) data. Second, compared with the European monitoring, reporting, and verification (MRV) system, the estimation and assessment of carbon emissions from ships has been expanded to the ‘ship-port’ system. Third, the newly constructed model can better evaluate the low-carbon performance of the system.
DOI: 10.6084/m9.figshare.28776316
title: Building dynamic resilience capabilities for supply chain disruptions: insights from the Irish food industry

description: This study investigates the connection between supply chain resilience (SCRES) capabilities and dynamic capabilities theory (DCT) in the context of the Irish food industry, specifically in the face of supply chain disruption. Based on a theoretical synthesis of the SCRES and dynamic capabilities (DC) literature and empirical evidence from a multi-case study, this study elaborates a theory of dynamic resilience capabilities (DRC) comprising five SCRES capabilities: anticipation, adaptation, response, recovery, and learning. These five capabilities align with the DC dimensions of sensing, adapting, coordinating, reconfiguring, and learning, and enable firms to adjust their strategies before, during, and after disruptive events. This study contributes to the SCRES literature by distinguishing between dynamic and operational capabilities and providing insights into building DRC through strategic processes, such as sensing threats and opportunities, adapting to changes, coordinating tasks, reconfiguring resources, and developing learning routines to mitigate supply chain disruptions.
DOI: 10.6084/m9.figshare.28776316.v1
title: Building dynamic resilience capabilities for supply chain disruptions: insights from the Irish food industry

description: This study investigates the connection between supply chain resilience (SCRES) capabilities and dynamic capabilities theory (DCT) in the context of the Irish food industry, specifically in the face of supply chain disruption. Based on a theoretical synthesis of the SCRES and dynamic capabilities (DC) literature and empirical evidence from a multi-case study, this study elaborates a theory of dynamic resilience capabilities (DRC) comprising five SCRES capabilities: anticipation, adaptation, response, recovery, and learning. These five capabilities align with the DC dimensions of sensing, adapting, coordinating, reconfiguring, and learning, and enable firms to adjust their strategies before, during, and after disruptive events. This study contributes to the SCRES literature by distinguishing between dynamic and operational capabilities and providing insights into building DRC through strategic processes, such as sensing threats and opportunities, adapting to changes, coordinating tasks, reconfiguring resources, and developing learning routines to mitigate supply chain disruptions.
DOI: 10.5281/zenodo.16629361
title: UMU Control Plane Intrusion Detection Dataset

description: Control Plane Intrusion Detection dataset containing benign and attack samples corresponding to the simulation of an AMF Registration Denial-of-Service (DoS) attack.
DOI: 10.5281/zenodo.18324418
title: UMU Control Plane Intrusion Detection Dataset

description: Control Plane Intrusion Detection dataset containing benign and attack samples corresponding to the simulation of an AMF Registration Denial-of-Service (DoS) attack.
DOI: 10.17632/kdktdhrb6b
title: Single-cell profiling of the subgingival bacteria reveals transcriptional heterogeneity and niche-specific programs (Ding et al.)

description: This dataset contains intermediate data files generated from subgingival metagenomic sequencing, 16S rRNA gene sequencing, and targeted metabolomics, as well as data files from single-bacterium RNA sequencing, untargeted metabolomics of Porphyromonas gingivalis, and whole-genome sequencing of Neisseria elongata. The files include: Source Data Figure 2B; Source Data Figures 3C-3E; Source Data Figure 4D; Source Data Figures 5B 5D 5H 5J 5K; Source Data Figures 6B 6F 6J; Source data Figurea S1A S1C; Source data Figure S3D; Source Data Figure S4C; Source Data Figures S5E S5H; Source Data Figures S6B S6D S6E; Source Data Figures S7D S7I S7K; Source Data Figures S8D S8F S8H; Source data Figures S9D S9F; metagenomic data from previously published datasets.
DOI: 10.17632/kdktdhrb6b.1
title: Single-cell profiling of the subgingival bacteria reveals transcriptional heterogeneity and niche-specific programs (Ding et al.)

description: This dataset contains intermediate data files generated from subgingival metagenomic sequencing, 16S rRNA gene sequencing, and targeted metabolomics, as well as data files from single-bacterium RNA sequencing, untargeted metabolomics of Porphyromonas gingivalis, and whole-genome sequencing of Neisseria elongata. The files include: Source Data Figure 2B; Source Data Figures 3C-3E; Source Data Figure 4D; Source Data Figures 5B 5D 5H 5J 5K; Source Data Figures 6B 6F 6J; Source data Figurea S1A S1C; Source data Figure S3D; Source Data Figure S4C; Source Data Figures S5E S5H; Source Data Figures S6B S6D S6E; Source Data Figures S7D S7I S7K; Source Data Figures S8D S8F S8H; Source data Figures S9D S9F; metagenomic data from previously published datasets.
DOI: 10.15468/dl.gxbusn
title: Occurrence Download

description: A dataset containing 1345935 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fraxinus excelsior)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is Europe"
 ]
}

 The dataset includes 1345935 records from 3417 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002096-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.489cpj
title: Occurrence Download

description: A dataset listing the 43 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "OccurrenceStatus is Present",
 "TaxonKey is Lumbricidae"
 ]
}

 The dataset's 43 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006563-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sutuz9
title: Occurrence Download

description: A dataset containing 1268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fagus longipetiolata Seemen"
 ]
}

 The dataset includes 1268 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006591-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/ngnmdn
title: Insights into the nature of phase transitions and relaxation dynamics in memantine – An active substance forming orientationally disordered crystals

description: The dataset contains raw experimental data obtained by X-ray diffraction (XRD), differential scanning calorimetry (DSC), broadband dielectric spectroscopy (BDS), infrared spectroscopy (FTIR) and Raman spectroscopy for the substance memantine. Additionally, the dataset contains a .pdf file with the preprint of the article "Insights into the nature of phase transitions and relaxation dynamics in memantine – an active substance forming orientationally disordered crystals" submitted to the journal Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy and accepted for publication. This article concerns the results of studies deposited with the dataset. The aim of the research project was to understand the nature of phase transitions and molecular dynamics of this active pharmaceutical compound.
DOI: 10.6084/m9.figshare.28850879
title: Raw data of the manuscript "Interests of Google users in health-related issues concerning information pollution terminologies: An infodemiology study"

description: Raw data of the manuscript "Interests of Google users in health-related issues concerning information pollution terminologies: An infodemiology study"
DOI: 10.5517/ccdc.csd.cc2bxnfc
title: CCDC 2172493: Experimental Crystal Structure Determination

description: Related Article: Yadong Li, Feng-Huan Du, Junjie Li, Jun Xu, Zhifang Yang, Shanshan Li, Chi Zhang, Yunfei Du|2024|Chin.Chem.Lett.|36|110338|doi:10.1016/j.cclet.2024.110338
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.cc2d2pry
title: CCDC 2207130: Experimental Crystal Structure Determination

description: Related Article: Yadong Li, Feng-Huan Du, Junjie Li, Jun Xu, Zhifang Yang, Shanshan Li, Chi Zhang, Yunfei Du|2024|Chin.Chem.Lett.|36|110338|doi:10.1016/j.cclet.2024.110338
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.cc2fqxvy
title: CCDC 2256361: Experimental Crystal Structure Determination

description: Related Article: Yadong Li, Feng-Huan Du, Junjie Li, Jun Xu, Zhifang Yang, Shanshan Li, Chi Zhang, Yunfei Du|2024|Chin.Chem.Lett.|36|110338|doi:10.1016/j.cclet.2024.110338
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.cc2l10zn
title: CCDC 2384271: Experimental Crystal Structure Determination

description: Related Article: Rajika M. Munasinghe, Matthew I. J. Polson, Joanna C. C. Houlihan, Richard M. Hartshorn|2025|J.Coord.Chem.|78|332|doi:10.1080/00958972.2025.2453061
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.cc2jvv19
title: CCDC 2349491: Experimental Crystal Structure Determination

description: Related Article: Lata Rana, Shweta Bisht, Dheeraj, Mousumi Biswas, Somenath Garai|2025|Inorg.Chem.Commun.|177|114357|doi:10.1016/j.inoche.2025.114357
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: 10.17632/mw9j6bz4n7.1
title: Guided Chatbot for Novice Researchers

description: Evaluating popular educational chatbots (EC) shows that existing EC impacts users' ability to synthesize and take ownership of their work, potentially leading to misinformation. This study aims to design and evaluate a research-guided chatbot that im-proves research synthesis. Method: One hundred sixty-five graduate students evaluated the chatbot. The qualitative data were analysed using natural language processing for sentiment analysis and emotion detection. Results: The findings show that "interesting" and "enjoyable" were frequent words used in user feedback. Sentiment analysis findings show that 47% suggested users are satisfied with the chatbot's recommendation potential; 46.3% found the guided chatbot to be the most effective in simplifying research methodology concepts; 48.4% identified the chatbot as the most effective tool for conceptualizing research questions and hypotheses and excellent in fostering ownership of their ideas; 85.3% rated the chatbot as fostering creativity; and 81.0% rated the chatbot positively for its ability to minimize misinformation. Two themes were identified in the thematic analysis: attitudes and improvements to future research-guided chatbots, emphasizing simplicity. (4) Conclusions: The strong preference for the guided chatbot underlines the potential for future improvements in EC with the flexibility to gain ownership of work with a guided approach.
DOI: 10.17632/k5tkt8zbng
title: Prolonged crustal storage for mantle xenolith-bearing basanite lava

description: Supplementary Table 1 provides the whole-rock major and trace element compositions of the host basanite containing the olivine xenocrysts. Tables 2 and 3 present the major and trace element compositions of olivine xenocrysts, phenocrysts, and matrix. Table 4 includes the Fe-Mg isotopic compositions of olivine xenocrysts, and the results of diffusion modeling based on these isotopic data. Table 5 provides the major elements in titanomagnetite from the Hannuoba alkaline basalt (wt%) and the number of cations based on four oxygen atoms.
DOI: 10.17632/k5tkt8zbng.1
title: Prolonged crustal storage for mantle xenolith-bearing basanite lava

description: Supplementary Table 1 provides the whole-rock major and trace element compositions of the host basanite containing the olivine xenocrysts. Tables 2 and 3 present the major and trace element compositions of olivine xenocrysts, phenocrysts, and matrix. Table 4 includes the Fe-Mg isotopic compositions of olivine xenocrysts, and the results of diffusion modeling based on these isotopic data. Table 5 provides the major elements in titanomagnetite from the Hannuoba alkaline basalt (wt%) and the number of cations based on four oxygen atoms.
DOI: 10.34740/kaggle/dsv/12812258
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.cmyc33
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendrobium maguanense"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049100-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25378/janelia.19196585
title: Isotropic 3D electron microscopy data of isolated murine pancreatic islets treated with low glucose (jrc_mus-pancreas-3)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<b>Sample</b>: Wild-type mouse pancreatic islets treated with low glucose.<b>Sample description:</b> Pancreatic islets (or Islets of Langerhans) are micro-organs consisting mainly of beta, alpha, delta, polypeptide cells and endothelial cells. Beta cells are the majority of the islet cells. They secrete insulin, which is stored in secretory granules (SGs), in order to maintain blood glucose homeostasis. Beta cells within the islet are heterogeneous in their response to glucose. Furthermore, not all insulin SGs within beta cells have the same likelihood of being released. Large-scale high-resolution FIB-SEM enables biologists to investigate the ultrastructural differences between beta cells within an islet as well as features that require higher resolution such as ribosomes and the cytoskeleton.<b>Protocol</b>: High-pressure freezing and freeze-substitution with 1% OsO₄ and 0.1% UA in acetone additionally containing 1% H2O for membrane contrast. Samples were immersed in the cocktail for 5 hours at −90 °C followed by raising the temperature to 0 °C over a time course of 18 hours. Then, samples were washed twice in 100% dry acetone for 1 hour and the temperature was raised to room temperature followed by embedding in Durcupan.<b>Contributions</b>: Sample provided by Andreas Mueller and Michele Solimena (Paul Langerhans Institute, Dresden), prepared for imaging by Song Pang (HHMI/Janelia), with imaging and post-processing by C. Shan Xu (HHMI/Janelia).<b>Acquisition ID</b>: jrc_mus-pancreas-3<b>Final voxel size (nm)</b>: 4.00 x 4.00 x 4.00 (X, Y, Z)<b>Dimensions (µm)</b>: 20 x 20 x 8 (X, Y, Z)<b>Imaging start date:</b> 2018-07-07<b>Imaging duration (days)</b>: 4<b>Landing energy (eV)</b>: 1200<b>Imaging current (nA)</b>: 1<b>Scanning speed (MHz)</b>: .2<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_mus-pancreas-3/jrc_mus-pancreas-3.zarr/recon-1/em/<b>Visualization Website:</b> https://openorganelle.janelia.org/datasets/jrc_mus-pancreas-3<b>Publication</b>: Mueller et al., 2020; Xu et al., 2021
DOI: 10.5281/zenodo.10072804
title: S74 | REFTPS | Transformation Products and Reactions from Literature

description: This is the collection associated with list S74 REFTPS Transformation Products and Reactions from Literature on the NORMAN Suspect List Exchange.
https://www.norman-network.com/nds/SLE/
This dataset is designed to provide an entry point for users to contribute transformation products and reactions documented in the literature for addition to the NORMAN SLE, SusDat and the PubChem Transformations section.
Change logs and version tracking at the ECI GitLab site.
Change log: v0.0.2 added InChIKey file. v0.1.0 added new reactions from Anca Baesu and DTXSIDs. v0.2.0 added PFAS TPs from Parviel Chirsir. v0.2.1 more PFAS TPs from Parviel. v0.3.0 Emma added HMMM TPs; v0.3.1 updated references and added new CIDs; added new MS/MS file. v0.4.0 new PFAS TPs plus MS/MS and NMR. v0.4.1 new CID added, plus CID 67543 updated to 14571268. v0.5.0 new 8:2 FT TPs plus annotation data; new structures. v0.5.1 added new CIDs. v0.5.2 added 2:2 to 6:2 FT TPs, updated ref for Bugsel. v0.5.3: added new CIDs. v0.6.0 added new structures. v0.7.0 added more new structures. v 0.7.1: updated CIDs in substances, fixed PFHpA mapping in transformations (some were mismapped to CID 67819). v 0.7.2: updated Biosystem description for many records. v0.8.0: updated CID 163201609 => 166001338, adjusted last 4 MS/MS, added Barisci AOP transformations. v0.9.0 added new structures. v0.9.1 updated CIDs and added radical structures from deposition. v0.10.0 added new irgarol reaction; v0.10.1 added new CID. v0.11.0 added Avendano and Mabury transformations from Parviel. v0.12.0 added Washington MS/MS and Marjanovic MS/MS and reactions. v0.13.0 added Galaxolide transformation. v0.14.0 added Zweigle PFAS TPs with MSMS. v0.14.1 added new CIDs. v0.15.0 added antibiotic TPs from Paul Löffler, SLU, incl. entries with no CID. 
description: NOTE: This deposition is continually updating as new data is added!
DOI: 10.5281/zenodo.10103387
title: S74 | REFTPS | Transformation Products and Reactions from Literature

description: This is the collection associated with list S74 REFTPS Transformation Products and Reactions from Literature on the NORMAN Suspect List Exchange.
https://www.norman-network.com/nds/SLE/
This dataset is designed to provide an entry point for users to contribute transformation products and reactions documented in the literature for addition to the NORMAN SLE, SusDat and the PubChem Transformations section.
Change logs and version tracking at the ECI GitLab site.
Change log: v0.0.2 added InChIKey file. v0.1.0 added new reactions from Anca Baesu and DTXSIDs. v0.2.0 added PFAS TPs from Parviel Chirsir. v0.2.1 more PFAS TPs from Parviel. v0.3.0 Emma added HMMM TPs; v0.3.1 updated references and added new CIDs; added new MS/MS file. v0.4.0 new PFAS TPs plus MS/MS and NMR. v0.4.1 new CID added, plus CID 67543 updated to 14571268. v0.5.0 new 8:2 FT TPs plus annotation data; new structures. v0.5.1 added new CIDs. v0.5.2 added 2:2 to 6:2 FT TPs, updated ref for Bugsel. v0.5.3: added new CIDs. v0.6.0 added new structures. v0.7.0 added more new structures. v 0.7.1: updated CIDs in substances, fixed PFHpA mapping in transformations (some were mismapped to CID 67819). v 0.7.2: updated Biosystem description for many records. v0.8.0: updated CID 163201609 => 166001338, adjusted last 4 MS/MS, added Barisci AOP transformations. v0.9.0 added new structures. v0.9.1 updated CIDs and added radical structures from deposition. v0.10.0 added new irgarol reaction; v0.10.1 added new CID. v0.11.0 added Avendano and Mabury transformations from Parviel. v0.12.0 added Washington MS/MS and Marjanovic MS/MS and reactions. v0.13.0 added Galaxolide transformation. v0.14.0 added Zweigle PFAS TPs with MSMS. v0.14.1 added new CIDs. v0.15.0 added antibiotic TPs from Paul Löffler, SLU, incl. entries with no CID. v0.15.1 added new CIDs.
description: NOTE: This deposition is continually updating as new data is added!