cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60893/figshare.jap.31069801.v1
title: Supplement Number 1

description: The content includes: the thermionic emission model formulas and the equations required for calculating the interface states of GaN (Eqs. (S1-S3)); The formula required for calculating the dislocation density of GaN single crystals ((Eqs. (S4-S5)); Decay time constant calculation formula ((Eqs. (S6-S7)); The circular-like ink marks left by the ink-stained indium ball and tungsten probe on the glass micron scale ruler (Fig. S1); The I-V curve of the metal (indium and tungsten)/GaN heterojunction, as well as the calculation results of the interface states of GaN (Fig. S2); The dislocation density of GaN single crystals with different lattice orientations was characterized by the cathodoluminescence microscopy method (Figs. S3-S7); The dark currents of graphene/h-BN/GaN heterojunctions fabricated on GaN with different lattice orientations (Table SI).
DOI: 10.60893/figshare.jcp.31095670
title: Supplemental Material

description: The supplementary material includes the list of 165 cyclic and 42 acyclic functional groups used for constructing the functional group library, a detailed example demonstrating the algorithm's small‑fragment merging process, and the Cartesian coordinates of all calculated systems.
DOI: 10.60893/figshare.jcp.31095670.v1
title: Supplemental Material

description: The supplementary material includes the list of 165 cyclic and 42 acyclic functional groups used for constructing the functional group library, a detailed example demonstrating the algorithm's small‑fragment merging process, and the Cartesian coordinates of all calculated systems.
DOI: 10.15468/dl.un4u6e
title: Occurrence Download

description: A dataset containing 6189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Amaranthus graecizans"
 ]
}

 The dataset includes 6189 records from 352 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002015-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.jcp.31069603
title: Supporting Information

description: Detailed description of the free energy calculations
DOI: 10.60893/figshare.jcp.31069603.v1
title: Supporting Information

description: Detailed description of the free energy calculations
DOI: 10.60893/figshare.jcp.31069612
title: Other supporting materials

description: It contains a bundle of files such as ITP, MDP, TOP files, among others for reproducibility.
DOI: 10.60893/figshare.jcp.31069612.v1
title: Other supporting materials

description: It contains a bundle of files such as ITP, MDP, TOP files, among others for reproducibility.
DOI: 10.17632/m5966kdzcn.1
title: Mild Hypothermia Protects the Blood-Brain Barrier through Upregulating Slc16a11 and Reprogramming Endothelial Lipid Metabolism in Ischemic Stroke

description: Studies have demonstrated that mild hypothermia therapy exerts a positive protective effect on the blood-brain barrier (BBB) following ischemic stroke; however, there remains a paucity of research elucidating its underlying molecular protective mechanisms. To further investigate the molecular pathways through which mild hypothermia protects the BBB in ischemic stroke, as well as its reprogramming effect on BBB lipid metabolism, we established an in vitro oxygen-glucose deprivation/reperfusion (OGD/R) model using the mouse brain microvascular endothelial cell line bEnd.3. The experimental design included a control group, a model group and a mild hypothermia intervention group. Subsequently, transcriptomic and lipidomic analyses were performed on the harvested cells from each group.
DOI: 10.17632/568gxcg5n3
title: Dataset for the publication: Transformer-Based Video Motion Magnification for Vision-Driven Structural Health Monitoring: Experimental Validation on Lab and Full-Scale Structures

description: This repository contains the dataset, trained models, and source code used in the development and evaluation of the STB-VMM method for Structural Health Monitoring
This repository provides pretrained model checkpoints and implementation scripts to ensure full reproducibility of the results presented in the associated scientific publication.
The materials provided support researchers in replicating the experiments, benchmarking alternative approaches, and extending the proposed methodology to related structural health monitoring applications.
DOI: 10.17632/568gxcg5n3.1
title: Dataset for the publication: Transformer-Based Video Motion Magnification for Vision-Driven Structural Health Monitoring: Experimental Validation on Lab and Full-Scale Structures

description: This repository contains the dataset, trained models, and source code used in the development and evaluation of the STB-VMM method for Structural Health Monitoring
This repository provides pretrained model checkpoints and implementation scripts to ensure full reproducibility of the results presented in the associated scientific publication.
The materials provided support researchers in replicating the experiments, benchmarking alternative approaches, and extending the proposed methodology to related structural health monitoring applications.
DOI: 10.17632/d8drdbjyny
title: Effects of feeding silage inoculated with Lactococcus lactis and Lentilactobacillus buchneri on performance and nutrient utilization in transition dairy cows — Supplemental material

description: We fed inoculated silage-based TMR to transition cows to evaluate performance and nutrient utilization. Our hypothesis was that using a mixed inoculant containing L. lactis and L. buchneri would reduce pH more rapidly during the ensiling phase and improve the aerobic stability of corn silage ensiled under laboratory conditions. In addition, feeding a TMR containing inoculated corn and ryegrass silage will increase prepartum and postpartum DMI and improve the performance of lactating dairy cows during early lactation. This supplemental material includes nutritive value, fermentation characteristics, and fiber degradability of corn and ryegrass silage ensiled for 395 and 98 d in ag-bags. Additionally, we performed a side experiment utilizing fresh TMR to measure the aerobic stability. We used prepartum and postpartum TMRs.
DOI: 10.17632/d8drdbjyny.1
title: Effects of feeding silage inoculated with Lactococcus lactis and Lentilactobacillus buchneri on performance and nutrient utilization in transition dairy cows — Supplemental material

description: We fed inoculated silage-based TMR to transition cows to evaluate performance and nutrient utilization. Our hypothesis was that using a mixed inoculant containing L. lactis and L. buchneri would reduce pH more rapidly during the ensiling phase and improve the aerobic stability of corn silage ensiled under laboratory conditions. In addition, feeding a TMR containing inoculated corn and ryegrass silage will increase prepartum and postpartum DMI and improve the performance of lactating dairy cows during early lactation. This supplemental material includes nutritive value, fermentation characteristics, and fiber degradability of corn and ryegrass silage ensiled for 395 and 98 d in ag-bags. Additionally, we performed a side experiment utilizing fresh TMR to measure the aerobic stability. We used prepartum and postpartum TMRs.
DOI: 10.17632/dp4v6yn2t2
title: Essential Nail Unit Surgical Procedures

description: Supplementary material for "Essential Nail Unit Procedures" Article
DOI: 10.17632/dp4v6yn2t2.1
title: Essential Nail Unit Surgical Procedures

description: Supplementary material for "Essential Nail Unit Procedures" Article
DOI: 10.17632/jz2wc5rzyx
title: Transmission spectrum and Spectroscopic Ellipsometry data of JGS2-fused Silica

description: This data set describes the transmission spectrum and spectroscopic ellipsometry data of JGS2-fused Silica substrate.
DOI: 10.17632/jz2wc5rzyx.3
title: Transmission spectrum and Spectroscopic Ellipsometry data of JGS2-fused Silica

description: This data set describes the transmission spectrum and spectroscopic ellipsometry data of JGS2-fused Silica substrate.
DOI: 10.17632/tpd9t4b3hc
title: Data RA BLM

description: Data for research
DOI: 10.17632/tpd9t4b3hc.1
title: Data RA BLM

description: Data for research
DOI: 10.17632/kcxrcxmbms
title: Global Mapping of circRNA-Target RNA Interactions Reveals P-Body-Mediated Translational Repression

description: Original data of gels blots and microscopy of Global Mapping of circRNA-Target RNA Interactions Reveals P-Body-Mediated Translational Repression
DOI: 10.17632/kcxrcxmbms.1
title: Global Mapping of circRNA-Target RNA Interactions Reveals P-Body-Mediated Translational Repression

description: Original data of gels blots and microscopy of Global Mapping of circRNA-Target RNA Interactions Reveals P-Body-Mediated Translational Repression
DOI: 10.17632/sbkdw2svzd
title: Burnout, Resilience and Well-Being Among Oncology Nurses in Ireland A Cross-Sectional Study

description: Burnout syndrome, perceived stress, resilience, wellbeing of eighty (n80) nurses was measured using validated questionnaires .The Connor Davidson Resilience Scale was used to measure psychological resilience. The scale consists of 25 items, rated on 5-point Likert scale. The score ranged from 0 to 100- 100 reflects highest resilience score.35 
Perceived Stress Scale - a 10-item tool was used to measure level of perceived stress over the last month. The score ranges from 0 to 40. Higher scores indicate greater levels of perceived stress36
WHO Wellbeing 5 was used to measure subjective psychological well-being. Scores range from 0 to 25. Higher scores indicate better quality of life .Maslach Burnout Inventory is a 22-item instrument. This was used to measure burnout in three different dimensions: emotional exhaustion, depersonalization & personal achievement. 40. High scores on emotional exhaustion and depersonalisation and low scores on personal accomplishment indicate burnout. Emotional Exhaustion scores for 9 items range from 0-54. Depersonalization scores for 5 items range from 0-30 and personal accomplishment scores for 8 items range from 0-48
DOI: 10.17632/sbkdw2svzd.1
title: Burnout, Resilience and Well-Being Among Oncology Nurses in Ireland A Cross-Sectional Study

description: Burnout syndrome, perceived stress, resilience, wellbeing of eighty (n80) nurses was measured using validated questionnaires .The Connor Davidson Resilience Scale was used to measure psychological resilience. The scale consists of 25 items, rated on 5-point Likert scale. The score ranged from 0 to 100- 100 reflects highest resilience score.35 
Perceived Stress Scale - a 10-item tool was used to measure level of perceived stress over the last month. The score ranges from 0 to 40. Higher scores indicate greater levels of perceived stress36
WHO Wellbeing 5 was used to measure subjective psychological well-being. Scores range from 0 to 25. Higher scores indicate better quality of life .Maslach Burnout Inventory is a 22-item instrument. This was used to measure burnout in three different dimensions: emotional exhaustion, depersonalization & personal achievement. 40. High scores on emotional exhaustion and depersonalisation and low scores on personal accomplishment indicate burnout. Emotional Exhaustion scores for 9 items range from 0-54. Depersonalization scores for 5 items range from 0-30 and personal accomplishment scores for 8 items range from 0-48
DOI: 10.17632/pxyzzkbs4b
title: PV_EL_HDR_BW_Test_DB

description: This dataset contains high-resolution (500 DPI) images and experimental measurements of photovoltaic cells power output degradation under 84 progressively induced different damage conditions. Each damage condition is described by a 3-images-set (Near-IR Electroluminescence, Near-IR Black/White, Visible HDR for a total of 252 images); for each damage level are also reported the corresponding performance measurements under controlled conditions and a detailed verbal description, encompassing both categorical and qualitative aspects. This dataset is intended for research on degradation modeling and lifetime prediction, fault detection and diagnosis, damage–performance relationship analysis with machine learning and computer vision applications as well as an LLM-RAG approach. Further images and measures are intended to be added in future versions.

The dataset includes:
- 84 Experimental 3-image-sets (total 252 images; each images-set is composed by 3 images: HDR, EL, BW) (PNG format)
- Image files data (CSV)
- Electrical performance measurements (voltage, current, power output) and verbal description of damage as identified through visual inspection (CSV)
- Metadata describing cell type, naming conventions, experimental parameters (TXT)
## Usage Notes: The dataset is provided **as-is**. Users are responsible for validating and interpreting the data. 
## Licensing and Attribution: This dataset is licensed under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license. 
## Possible PV_EL_HDR_BW_Test_DB Dataset Applications
This dataset, comprising damaged solar cell images alongside corresponding power output recordings can support a wide range of research activities across engineering, materials science, and data science. Key possible research uses include: Degradation modeling and lifetime prediction; Fault detection and diagnosis; Damage–performance relationship analysis; Machine learning and computer vision applications, also with LLM-RAG approach; Reliability and robustness assessment; Maintenance and mitigation strategy evaluation;Simulation and model validation; Energy yield and economic impact studies; Synthetic data generation. 
Overall, this dataset is valuable for both fundamental research on degradation mechanisms and applied research aimed at improving monitoring, reliability, and cost-effectiveness of photovoltaic systems.
DOI: 10.17632/pxyzzkbs4b.1
title: PV_EL_HDR_BW_Test_DB

description: This dataset contains high-resolution (500 DPI) images and experimental measurements of photovoltaic cells power output degradation under 84 progressively induced different damage conditions. Each damage condition is described by a 3-images-set (Near-IR Electroluminescence, Near-IR Black/White, Visible HDR for a total of 252 images); for each damage level are also reported the corresponding performance measurements under controlled conditions and a detailed verbal description, encompassing both categorical and qualitative aspects. This dataset is intended for research on degradation modeling and lifetime prediction, fault detection and diagnosis, damage–performance relationship analysis with machine learning and computer vision applications as well as an LLM-RAG approach. Further images and measures are intended to be added in future versions.

The dataset includes:
- 84 Experimental 3-image-sets (total 252 images; each images-set is composed by 3 images: HDR, EL, BW) (PNG format)
- Image files data (CSV)
- Electrical performance measurements (voltage, current, power output) and verbal description of damage as identified through visual inspection (CSV)
- Metadata describing cell type, naming conventions, experimental parameters (TXT)
## Usage Notes: The dataset is provided **as-is**. Users are responsible for validating and interpreting the data. 
## Licensing and Attribution: This dataset is licensed under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license. 
## Possible PV_EL_HDR_BW_Test_DB Dataset Applications
This dataset, comprising damaged solar cell images alongside corresponding power output recordings can support a wide range of research activities across engineering, materials science, and data science. Key possible research uses include: Degradation modeling and lifetime prediction; Fault detection and diagnosis; Damage–performance relationship analysis; Machine learning and computer vision applications, also with LLM-RAG approach; Reliability and robustness assessment; Maintenance and mitigation strategy evaluation;Simulation and model validation; Energy yield and economic impact studies; Synthetic data generation. 
Overall, this dataset is valuable for both fundamental research on degradation mechanisms and applied research aimed at improving monitoring, reliability, and cost-effectiveness of photovoltaic systems.
DOI: 10.15468/dl.t3rdys
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Lontra longicaudis"
 ]
}

 The dataset includes 250 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002018-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0163737.10fu
title: SH0163737.10FU

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.
DOI: 10.5281/zenodo.17879936
title: Data codes and templates for the "Standardization of MR-EPT Guideline"

description: This repository gives the datasets, codes and templates to perform the MR-EPT reconstructions and the analysis as described in the standardization guideline for MR-EPT.
DOI: 10.5281/zenodo.17879937
title: Data codes and templates for the "Standardization of MR-EPT Guideline"

description: This repository gives the datasets, codes and templates to perform the MR-EPT reconstructions and the analysis as described in the standardization guideline for MR-EPT.
DOI: 10.15156/bio/sh0163738.10fu
title: SH0163738.10FU

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.
DOI: 10.5517/cc4f70s
title: CCDC 131874: Experimental Crystal Structure Determination

description: Related Article: F.Hamzaoui, F.Baert, G.Wojcik|1996|Acta Crystallogr.,Sect.B:Struct.Sci.|52|159|doi:10.1107/S0108768195006719
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/cc4x0gh
title: CCDC 146086: Experimental Crystal Structure Determination

description: Related Article: Zhe-Ming Wang, Jun Luo, Bai-Wang Sun, Chun-Hua Yan, Chun-Sheng Liao, Song Gao|2000|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|56|e242|doi:10.1107/S0108270100006132
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/cc4x0hj
title: CCDC 146087: Experimental Crystal Structure Determination

description: Related Article: D.Venegas-Yazigi, H.Mirza, A.B.P.Lever, A.J.Lough, J.Costamagna, A.Vega, R.Latorre|2000|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|56|e245|doi:10.1107/S0108270100006144
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/cc4x0jk
title: CCDC 146088: Experimental Crystal Structure Determination

description: Related Article: D.Venegas-Yazigi, H.Mirza, A.B.P.Lever, A.J.Lough, J.Costamagna, R.Latorre|2000|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|56|e247|doi:10.1107/S0108270100006314
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/cc4x0kl
title: CCDC 146089: Experimental Crystal Structure Determination

description: Related Article: S.Cabaleiro-Martinez, J.Castro, J.Romero, J.A.Garcia-Vazquez, A.Sousa|2000|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|56|e249|doi:10.1107/S0108270100006600
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/cc4x0lm
title: CCDC 146090: Experimental Crystal Structure Determination

description: Related Article: G.Pepe, P.Hannesschlager, P.Brun|2000|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|56|e251|doi:10.1107/S0108270100006843
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.