cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25427527
title: Supplementary Material for: Oral Rinses: Some Kill and Some Cripple Candida albicans

description: Objectives: Oral healthcare professionals play a crucial role in guiding patients toward evidence-based choices among the many available oral rinses. In this study, we explored how specific oral rinse formulations affect the viability and modulate critical virulence traits of the opportunistic fungal pathogen Candida albicans. Materials and Methods: We assessed the effects of these oral rinses on the production of germ tube, production of phospholipase and hemolysin, as well as biofilm formation. Results: We found that oral rinses containing cetylpyridinium chloride (CPC) and chlorhexidine (CHX) showed the greatest fungicidal activity with the lowest MFCs (0.38% and 0.78%, respectively). Oral rinses based on zinc chloride and sodium fluoride with Miswak bark extract (MIS) or essential oils (EO) had much lower fungicidal activity (8-16 times lower) compared to CHX and CPC. However, they had a significantly greater impact on the virulence traits of C. albicans. They reduced germ tube production by 86% - 89% (versus 42% for CHX and 29% for CPC), completely inhibited phospholipase and hemolysin production, and together with the CPC-based oral rinse, exerted the greatest reductions in biofilm formation across all tested concentrations. This was in contrast to both the controls and CHX, which had a minimal effect on biofilm formation. Conclusion: By inhibiting the virulence factors the oral rinse can have a crippling effect on C. albicans, weakening this opportunistic pathogen and hindering its potential to cause infection.
DOI: 10.21227/1r2d-t222
title: Ph.D

description: Noise recognition plays an essential role in human-computer interaction and various technological applications. However, identifying individual speakers remains a significant challenge, especially in diverse and acoustically challenging environments. This paper presents the Enhanced Multi-Layer Convolutional Neural Network (EML-CNN), a novel approach to improve automated speaker recognition from audio speech. The EML-CNN architecture features multiple convolutional layers and a dense block, finely tuned to extract unique voice signatures from English speech samples. The proposed model, trained with an expanded dataset from twelve distinct speakers, significantly broadens its capacity to identify diverse speech patterns.Advanced audio augmentation techniques were employed to augment the dataset's variability, including adding white Gaussian noise, signal manipulation (shifting and stretching), frequency modulation, tempo adjustment, and pitch variation. These methods significantly increased the dataset's diversity, enhancing the EML-CNN's robustness. Hyperband tuning and extensive parameter optimization were applied to improve the model's performance and prevent overfitting.Our evaluation results demonstrate that the EML-CNN achieves an outstanding accuracy of 99.5\% on a specialized speech dataset, maintaining high performance with 96.2\% accuracy on the challenging THUYG-20+ benchmark. These findings highlight the EML-CNN's superior performance over traditional audio classification and machine learning methods, marking a significant advancement in automated speaker recognition technology.
DOI: 10.6084/m9.figshare.25323355.v1
title: Supplementary Material for: Impacts of Posttransplant Cyclophosphamide Dose on Graft-versus-leukemia Effects via HLA-B Leader in HLA-haploidentical Peripheral Blood Stem Cell Transplantation

description: Introduction: The graft-versus-leukemia effect of HLA-B leader dimorphism, i.e. methionine (M) or threonine (T) at position −21 of the leader sequence, has been observed in HLA-haploidentical hematopoietic cell transplantation with posttransplant cyclophosphamide (PTCy-haplo). However, the biological mechanism has been unclear, and the contributions of HLA-B leader genotype to risk reduction of relapse might be dependent on posttransplant cyclophosphamide (PTCy) doses.
Methods: To investigate whether the effect of HLA-B leader dimorphism was modified by the PTCy dose, we retrospectively analyzed 99 patients who received PTCy-haplo.
Results: In the low-dose PTCy group, the patient M+ HLA-B leader genotype did not significantly affect the cumulative incidence of relapse (CIR) but negatively impacted the overall survival (OS) compared to the M− genotype. In contrast, in the high-dose PTCy group, patients with the M+ genotype had a decreased CIR, but no significant difference in the OS was observed between patients with the M+ and M− genotypes. Regardless of PTCy doses, the patient M+ genotype had detrimental effects on nonrelapse mortality.
Conclusion: Our findings suggest that the effect of the patient HLA-B leader genotype is modified by the PTCy dose, providing immunological insight into the PTCy dosage and supporting further studies to investigate the underlying mechanisms.
DOI: 10.6084/m9.figshare.25323355.v2
title: Supplementary Material for: Impacts of Posttransplant Cyclophosphamide Dose on Graft-versus-leukemia Effects via HLA-B Leader in HLA-haploidentical Peripheral Blood Stem Cell Transplantation

description: Introduction: The graft-versus-leukemia effect of HLA-B leader dimorphism, i.e. methionine (M) or threonine (T) at position −21 of the leader sequence, has been observed in HLA-haploidentical hematopoietic cell transplantation with posttransplant cyclophosphamide (PTCy-haplo). However, the biological mechanism has been unclear, and the contributions of HLA-B leader genotype to risk reduction of relapse might be dependent on posttransplant cyclophosphamide (PTCy) doses.
Methods: To investigate whether the effect of HLA-B leader dimorphism was modified by the PTCy dose, we retrospectively analyzed 99 patients who received PTCy-haplo.
Results: In the low-dose PTCy group, the patient M+ HLA-B leader genotype did not significantly affect the cumulative incidence of relapse (CIR) but negatively impacted the overall survival (OS) compared to the M− genotype. In contrast, in the high-dose PTCy group, patients with the M+ genotype had a decreased CIR, but no significant difference in the OS was observed between patients with the M+ and M− genotypes. Regardless of PTCy doses, the patient M+ genotype had detrimental effects on nonrelapse mortality.
Conclusion: Our findings suggest that the effect of the patient HLA-B leader genotype is modified by the PTCy dose, providing immunological insight into the PTCy dosage and supporting further studies to investigate the underlying mechanisms.
DOI: 10.5281/zenodo.10828635
title: dataset for "basic setting", "+ binary semantic loss", "+ class weights", "+ height weights", "+ region weights", "+ elastic distortion and subsampling", "+ TreeMix" in paper Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning

description: dataset for "basic setting", "+ binary semantic loss", "+ class weights", "+ height weights", "+ region weights", "+ elastic distortion and subsampling", "+ TreeMix" in paper Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning
DOI: 10.5281/zenodo.10828636
title: dataset for "basic setting", "+ binary semantic loss", "+ class weights", "+ height weights", "+ region weights", "+ elastic distortion and subsampling", "+ TreeMix" in paper Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning

description: dataset for "basic setting", "+ binary semantic loss", "+ class weights", "+ height weights", "+ region weights", "+ elastic distortion and subsampling", "+ TreeMix" in paper Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning
DOI: 10.18112/openneuro.ds002898.v1.4.2
title: Monash rsPET-MR
DOI: 10.6084/m9.figshare.24566754
title: Municipal wastewater treatment with anaerobic membrane Bioreactors for non-potable reuse: A review

description: Anaerobic membrane bioreactors (AnMBRs) are seen as a promising technology for application in water reuse schemes. However, the evidence base for their potential and efficacy in this regard is fragmented. We draw together this disparate knowledge base to offer a state of the art review of municipal wastewater treatment with AnMBRs and evaluate the technology’s potential application for water reuse. Water quality regulations and standards from different regions of the world are used as performance metrics to compare and contrast the treatment performance of pilot and laboratory scale AnMBR systems reported in the literature (<i>n</i> = 50). Findings indicate that under stable operation, AnMBRs have the potential to produce water for agricultural reuse. However, without post-treatment, AnMBRs are incapable of delivering water that meets other non-potable reuse standards across a range of important parameters such as COD, BOD<sub>5</sub>, NH<sub>3</sub>-N and TP. Analysis of key operational parameters determine the operation of AnMBR for non-potable reuse purpose cover influent water matrix, pH, temperature, hydraulic retention time, system and membrane configuration. An assessment of candidate post-treatment technologies suggests a tradeoff between the cost and effluent quality based on the reuse application requirement. We conclude by discussing a number of challenges and limitations to the use of AnMBRs for reuse applications in order to outline a pathway to maturity for effective treatment trains.
DOI: 10.6084/m9.figshare.24566754.v1
title: Municipal wastewater treatment with anaerobic membrane Bioreactors for non-potable reuse: A review

description: Anaerobic membrane bioreactors (AnMBRs) are seen as a promising technology for application in water reuse schemes. However, the evidence base for their potential and efficacy in this regard is fragmented. We draw together this disparate knowledge base to offer a state of the art review of municipal wastewater treatment with AnMBRs and evaluate the technology’s potential application for water reuse. Water quality regulations and standards from different regions of the world are used as performance metrics to compare and contrast the treatment performance of pilot and laboratory scale AnMBR systems reported in the literature (<i>n</i> = 50). Findings indicate that under stable operation, AnMBRs have the potential to produce water for agricultural reuse. However, without post-treatment, AnMBRs are incapable of delivering water that meets other non-potable reuse standards across a range of important parameters such as COD, BOD<sub>5</sub>, NH<sub>3</sub>-N and TP. Analysis of key operational parameters determine the operation of AnMBR for non-potable reuse purpose cover influent water matrix, pH, temperature, hydraulic retention time, system and membrane configuration. An assessment of candidate post-treatment technologies suggests a tradeoff between the cost and effluent quality based on the reuse application requirement. We conclude by discussing a number of challenges and limitations to the use of AnMBRs for reuse applications in order to outline a pathway to maturity for effective treatment trains.
DOI: 10.5281/zenodo.10828609
title: High-resolution (10-meter) Dynamic Water body map of the Hindu Kush Himalaya region (DWH10) for the year 2022
DOI: 10.5281/zenodo.10828610
title: High-resolution (10-meter) Dynamic Water body map of the Hindu Kush Himalaya region (DWH10) for the year 2022
DOI: 10.21335/nmdc-nersc-1462347865
title: Smart Ocean: CTD data collected in Bjørnafjorden and Langenuen, May 2022

description: CTD data collected in Bjørnafjorden and Langenuen, Norway, during a cruise with KV Tor.
DOI: 10.4121/9fc68331-a857-4775-8cd0-cb562a64fc51
title: Data underlying the publication: 'Applying a logistics cluster typology in spatial planning for circularity: lessons from a Dutch policy lab'

description: This dataset includes two parts:<br>Suitability maps used in the Grip programme, including the underlying multicriteria weights, their explanations and geodata files.Qsort data and Qmethod analysis script, concerning agreement of survey respondents with regard to 25 statements.
DOI: 10.4121/9fc68331-a857-4775-8cd0-cb562a64fc51.v2
title: Data underlying the publication: 'Applying a logistics cluster typology in spatial planning for circularity: lessons from a Dutch policy lab'

description: This dataset includes two parts:<br>Suitability maps used in the Grip programme, including the underlying multicriteria weights, their explanations and geodata files.Qsort data and Qmethod analysis script, concerning agreement of survey respondents with regard to 25 statements.
DOI: 10.5281/zenodo.8359252
title: Priority landscapes for tree-based restoration in  Rwanda

description: These priority maps highlight landscapes where the promotion of tree-based restoration practices is expected to yield higher benefits compared to possible interventions in non-priority landscapes. It is important to note that the priority maps created should not be considered as final, but as part of the process in identifying intervention areas for tree planting in Rwanda. Key further steps in prioritization include stakeholder consultations to incorporate their perspecives and field observations to further define the most adequate interventions.

For more information on the methodology please consult the following documents: 

Pedercini, F., Dawson, I.K., Kindt, R., Tadesse, W., Moestrup, S., Abiyu, A., Lillesø, J.P.B., Van Schoubroeck, F., McMullin, S., Carsan, S. and Mausch, K., 2021. Priority landscapes for tree-based restoration in Ethiopia. In ICRAF Working Paper. World Agroforestry Centre. [https://dx.doi.org/10.5716/WP21037.PDF; https://patspo.shinyapps.io/Restoration_Ethiopia/]

Pedercini, F., Kindt, R., Dawson, I., Lillesø, JPB., Mukuralinda, A., Ndayambaje, J. D., Jamnadass, R.,Graudal, L. (2023). Priority landscapes for tree-based restoration in Rwanda: a spatially explicit approachto prioritize areas for intervention. TREPA report.

Pedercini, F., Kindt, R., Graudal, L. (2024). Priority landscapes for tree-based restoration in Rwanda: a spatially explicit approach to prioritize areas for intervention. World Bank report.
DOI: 10.5281/zenodo.8359253
title: Priority landscapes for tree-based restoration in  Rwanda

description: These priority maps highlight landscapes where the promotion of tree-based restoration practices is expected to yield higher benefits compared to possible interventions in non-priority landscapes. It is important to note that the priority maps created should not be considered as final, but as part of the process in identifying intervention areas for tree planting in Rwanda. Key further steps in prioritization include stakeholder consultations to incorporate their perspecives and field observations to further define the most adequate interventions.

For more information on the methodology please consult the following documents: 

Pedercini, F., Dawson, I.K., Kindt, R., Tadesse, W., Moestrup, S., Abiyu, A., Lillesø, J.P.B., Van Schoubroeck, F., McMullin, S., Carsan, S. and Mausch, K., 2021. Priority landscapes for tree-based restoration in Ethiopia. In ICRAF Working Paper. World Agroforestry Centre. [https://dx.doi.org/10.5716/WP21037.PDF; https://patspo.shinyapps.io/Restoration_Ethiopia/]

Pedercini, F., Kindt, R., Dawson, I., Lillesø, JPB., Mukuralinda, A., Ndayambaje, J. D., Jamnadass, R.,Graudal, L. (2023). Priority landscapes for tree-based restoration in Rwanda: a spatially explicit approachto prioritize areas for intervention. TREPA report.

Pedercini, F., Kindt, R., Graudal, L. (2024). Priority landscapes for tree-based restoration in Rwanda: a spatially explicit approach to prioritize areas for intervention. World Bank report.
DOI: 10.11588/data/4tlvij
title: Bay-Substituted Octaazaperopyrenedioxides as Solid-State Emitters for Strong Light-Matter Coupling [data]

description: Underlying data for all figures in the paper "Bay-Substituted Octaazaperopyrenedioxides as Solid-State Emitters for Strong Light-Matter Coupling." J. Mater. Chem. C 2024, 12, 2745-2755.
DOI: 10.21335/nmdc-nersc-1124437080
title: SFI Smart Ocean: Oceanographic and acoustic data collected in Stokksundet, March-April 2022

description: Oceanographic data (temperature, conductivity, pressure, currents) measured by instruments in a mooring placed next to a seafood farm in Stokksundet, Norway. The instruments collected data from 17 March to 28 April 2022 as part of a Master study. The data is presented in Røsvik (2022). Røsvik, Bjørnar Hallaråker, 2022. Multidisciplinary Moorings in the Arctic and Coastal Areas. Master Thesis. The University of Bergen. Available at: https://hdl.handle.net/11250/3001633 (Accessed: 22 September 2022).
DOI: 10.6084/m9.figshare.24849201
title: Draft genome assembly of <i>Rorippa islandica</i>

description: This dataset includes draft genome assembly data of <i>Rorippa islandica</i> and its annotations. Genome sequences were assembled from illumina genome-seq reads (SRR1801303) obtained from the NCBI Sequence Read Archive (SRA). The gene structures on <i>R. islandica</i> genome sequences were estimated using Augustus with <i>A. thaliana</i> training dataset.
DOI: 10.6084/m9.figshare.25416583.v1
title: ner dataset and code

description: The datasets and code used in this study are publicly available.Datasets:The datasets used in this study have been divided into training, testing, and validation sets.Code:This code repository includes Python scripts that replicate the experimental setup described in the paper. The code is organized into the following modules:Data Preprocessing: This module contains code for loading, cleaning, and transforming the datasets.Model Training: This module includes code for training various named entity recognition models using pre-trained language models. The code also includes implementations of the ablation experiments and data augmentation techniques described in the paper.Evaluation: This module contains code for evaluating the performance of the trained models on the held-out data sets.The data and code are provided to facilitate reproducibility and further research on named entity recognition in the Chinese language.
DOI: 10.6084/m9.figshare.25341757
title: INSPIRING Jigawa - COVID-19 Data Dictionary

description: Data dictionary for the analysis of COVID-19 knowledge amongst women of child bearing age and heads of compounds as part of the INSPIRING Jigawa project.
DOI: 10.6084/m9.figshare.25341757.v1
title: INSPIRING Jigawa - COVID-19 Data Dictionary

description: Data dictionary for the analysis of COVID-19 knowledge amongst women of child bearing age and heads of compounds as part of the INSPIRING Jigawa project.
DOI: 10.6084/m9.figshare.25331242
title: INSPIRING Jigawa - COVID-19 knowledge

description: Anonymised dataset used for the analysis of COVID-19 knowledge amongst women of childbearing age and compound heads, as part of the INSPIRING Jigawa project.
DOI: 10.6084/m9.figshare.25331242.v1
title: INSPIRING Jigawa - COVID-19 knowledge

description: Anonymised dataset used for the analysis of COVID-19 knowledge amongst women of childbearing age and compound heads, as part of the INSPIRING Jigawa project.
DOI: 10.34740/kaggle/dsv/7873375
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.10808891
title: Estimated life-cycle-based environmental indicators and social indicators for companies and investment funds

description: The data files represent the 26 estimated life-cycle-based indicators for a sample of companies and funds, obtained using the methodology described in the linked journal article. The files SD1 and SD2 contain the individual values estimated for the fund and company samples. These estimates are based on the methodology described in the linked article. The data herein is the source for producing all figures of the paper. All companies and funds have been anonymized, as the data is sourced from proprietary databases. At the same link, supplementary file SD3 contains the summary statistics and comparison of sustainable funds versus conventional funds sample. The file SD4 contains the data used to create Figure 4. The file SD5 contains sample data to create Figure 5. The file SD6 contains sample data to create Figure 6. Additional more detailed data can be provided upon reasonable request, but cannot be publicly disclosed as it contains data from licenced databases.
DOI: 10.5281/zenodo.10808892
title: Estimated life-cycle-based environmental indicators and social indicators for companies and investment funds

description: The data files represent the 26 estimated life-cycle-based indicators for a sample of companies and funds, obtained using the methodology described in the linked journal article. The files SD1 and SD2 contain the individual values estimated for the fund and company samples. These estimates are based on the methodology described in the linked article. The data herein is the source for producing all figures of the paper. All companies and funds have been anonymized, as the data is sourced from proprietary databases. At the same link, supplementary file SD3 contains the summary statistics and comparison of sustainable funds versus conventional funds sample. The file SD4 contains the data used to create Figure 4. The file SD5 contains sample data to create Figure 5. The file SD6 contains sample data to create Figure 6. Additional more detailed data can be provided upon reasonable request, but cannot be publicly disclosed as it contains data from licenced databases.
DOI: 10.21227/bn5k-mx15
title: IIST BCI Dataset-2 for Selected Common Marathi Words

description: Problems of neurodegenerative disorder patients can be solved by developing Brain-Computer Interface (BCI) based solutions. This requires datasets relevant to the languages spoken by patients. For example, Marathi, a prominent language spoken by over 83 million people in India, lacks BCI datasets based on the language for research purposes. To tackle this gap, we have created a dataset comprising Electroencephalograph (EEG) signal samples of selected common Marathi words. EEG samples were captured using the Open-BCI Cyton device for constructing a dataset by volunteers who speak commonly used Marathi words. The dataset contains EEG recordings involving volunteers pronouncing commonly used Marathi words. This dataset helps in building BCI solutions using Machine Learning (ML) classifiers and Deep Learning methods, which can be used to translate EEG signals into Marathi words.
DOI: 10.6084/m9.figshare.25427692.v1
title: Untitled Item

description: Benchmark results of centroAnno and reference methods on real data sets (genome assembly).
DOI: 10.34740/kaggle/dsv/3039491
title: MemeSentinel-XT: Multimodal Hate Speech Detection
DOI: 10.6084/m9.figshare.25427692
title: Results from all methods across five species

description: Benchmark results of centroAnno and reference methods on real data sets (genome assembly).
DOI: 10.6084/m9.figshare.25427692.v2
title: Results from all methods across five species.

description: Benchmark results of centroAnno and reference methods on real data sets (genome assembly).
DOI: 10.6084/m9.figshare.25427572
title: Protein-protein interaction assay coupled with proteome profiler and immune activation flow cytometry assay validate immune activation in 3D oral cancer-immune co-culture model

description: This is a novel proteomic data of oral squamous cell carcinoma
DOI: 10.6084/m9.figshare.25427572.v1
title: Protein-protein interaction assay coupled with proteome profiler and immune activation flow cytometry assay validate immune activation in 3D oral cancer-immune co-culture model

description: This is a novel proteomic data of oral squamous cell carcinoma
DOI: 10.34740/kaggle/dsv/7873596
title: AutoXGB
DOI: 10.34740/kaggle/dsv/7873597
title: OnlineFree
DOI: 10.2908/ei_isin_m
title: Industrie Index nach NACE Rev. 2 Tätigkeit - monatliche Daten
title: Industrie, indice par activité de la NACE Rév. 2 - données mensuelles
title: Industry index by NACE Rev. 2 activity - monthly data