cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24745470
title: Co-administration of a Hepatitis B vaccine with CpG-ODN 2395 induces a stronger immune response in BALB/c mice

description: There is little evidence of how the adjuvanted Hepatitis B Virus (HBV) vaccine, cytosine phosphoguanine oligodeoxynucleotides (CpG ODNs), affects the immune system. The purpose of this study was to determine the most effective CpG ODN adjuvant and evaluate the effects of five CpG ODNs in BALB/c mice that had received the HBV vaccine. In all, 36 female BALB/c mice were used in this lab-based experiment. The mice were divided into 12 groups and given intramuscular vaccinations. Following vaccination, all groups were monitored for 14 and 28 days. After 28 days (p value &lt; 0.0001), the vaccinated groups supplemented with CpG 2395 showed a substantial 4.4-fold elevation in signal-to-noise ratio (S/N) value of 14.1 compared to the vaccine group only (S/N = 3.22). Using real-time quantitative polymerase chain reaction for cytokine profiling, mice inoculated with both the vaccine and CpG ODNs showed reduced TNF-α levels and elevated IL-6 expression levels, which were normalized using the housekeeping gene HPRT 1. But the difference in IL-6 levels between the treated groups was not statistically significant (P ≥ 0.3). All treatment groups' toxicity parameters fell within the usual range. These findings led us to the conclusion that the HBV vaccine containing CpG ODN 2395 may strengthen the body's defenses against HBV infection.<br>
DOI: 10.6084/m9.figshare.24745470.v1
title: Co-administration of a Hepatitis B vaccine with CpG-ODN 2395 induces a stronger immune response in BALB/c mice

description: There is little evidence of how the adjuvanted Hepatitis B Virus (HBV) vaccine, cytosine phosphoguanine oligodeoxynucleotides (CpG ODNs), affects the immune system. The purpose of this study was to determine the most effective CpG ODN adjuvant and evaluate the effects of five CpG ODNs in BALB/c mice that had received the HBV vaccine. In all, 36 female BALB/c mice were used in this lab-based experiment. The mice were divided into 12 groups and given intramuscular vaccinations. Following vaccination, all groups were monitored for 14 and 28 days. After 28 days (p value &lt; 0.0001), the vaccinated groups supplemented with CpG 2395 showed a substantial 4.4-fold elevation in signal-to-noise ratio (S/N) value of 14.1 compared to the vaccine group only (S/N = 3.22). Using real-time quantitative polymerase chain reaction for cytokine profiling, mice inoculated with both the vaccine and CpG ODNs showed reduced TNF-α levels and elevated IL-6 expression levels, which were normalized using the housekeeping gene GADPH. But the difference in IL-6 levels between the treated groups was not statistically significant (P ≥ 0.3). All treatment groups' toxicity parameters fell within the usual range. These findings led us to the conclusion that the HBV vaccine containing CpG ODN 2395 may strengthen the body's defenses against HBV infection.<br>
DOI: 10.25835/ffwtmdgv
title: Dataset on wild flora diversity and associated agri-environmental information on organic legume fields in Tuscany (Italy)

description: __Study design__
This dataset contains sampling data from vegetation surveys conducted in 244 sample-plots within 32 lentil and chickpea fields across five organic farms situated in Tuscany, Italy. The sampling was conducted in summer 2022 and 2023. Wild flora was mapped in 1x2m sample-plots following drilled lines with a randomised sampling. Two strata (edge and centre) were sampled with four repetitions each. Furthermore, the dataset offers a detailed overview of the management practices implemented in each field, along with a description of site conditions including soil texture, organic matter content, local weather information during the legume growing period, and the diversity of the landscapes surrounding the fields.

__Dataset description__
The dataset is presented in a single workbook file comprising five sheets. Four of these sheets contain the essential dataset (general information, management details, environment, species list), while an extra sheet contains metadata providing descriptions of the variables. Each entry in the four core data tables corresponds to a sample-plot and is identified uniquely by an ID, which is a combination of two numbers. The whole number before the decimal point serves as the distinct field identifier, and the decimal number indicates the replicate number for the corresponding field. It's worth noting that all sheets, excluding the metadata table, can be connected through the common ID field.

__Funding__
This study is funded by the Federal Ministry of Education and Research (BMBF) (FKZ 01DH20007) under the PRIMA (Partnership for Research and Innovation in the Mediterranean Area) international funding initiative.

__Ethics Statement__
All farmers were informed about the purpose of this study and gave consent for participation and permission for visiting and surveying their fields. All collected data are anonymized.
DOI: 10.5281/zenodo.7973864
title: Systematic Literature Review results: PRISMA Statement Phases for Metaverse and Extended Realities in Immersive Journalism

description: Results of each phase of the prisma statement of the flow Diagram for Metaverse and Extended Realities in Immersive Journalism
DOI: 10.5281/zenodo.7973968
title: Sample records: A systematic review in Metaverse and Extended Realities in Immersive Journalism.

description: Sample records: A systematic review in Metaverse and Extended Realities in Immersive Journalism.
DOI: 10.57932/31f2adf7-74fb-48e8-a3ef-059f663c47f1
title: Large synthesis of in situ field measurements of the size distribution of mineral dust aerosols across their lifecycle-MRT

description: Collection of particle size distribution of atmospheric mineral dust particles representative of mid−range transport conditions (MRT, 1−4 days after emission; number of datasets N=36). Data are reported as volume size distributions (dV/dlogD) versus geometrical diameter. The name of each dataset indicate the original reference publication, sometimes with indication of a specific technique. Level−1 (LEV1) data are obtained by interpolating raw data (LEV0) over a common size range of equi−logarithmically spaced diameters (dlogD = 0.05) encompassing the original diameter range for each dataset. Level-2a (LEV2a) data, based on LEV1, harmonize the size distributions by converting the operational original particle diameters, which depend on the physical principle of each instrument, into a common–defined sphere−equivalent geometric diameter. Level−2b (LEV2b), based on LEV1, harmonize the size distributions by converting the operational original particle diameters into a common–defined geometrical diameter by taking into account that mineral dust is aspherical. Each dataset is normalized so that the integral is equal to 1 over a common diameter range. The diameter range for integral normalization was set to be the largest as possible and to be covered by more than 90% of the datasets in each category. For MRT data this common range for integral normalization is 0.71 and 8.9 µm. Statistical metrics (mean, median, 25% and 75% percentiles, and standard deviation) are provided. Full details are provided in Formenti and Di Biagio (2024) (main manuscript and supplementary information).
DOI: 10.57932/17dc781c-3e9d-4908-85b5-5c99e68e8f79
title: Large synthesis of in situ field measurements of the size distribution of mineral dust aerosols across their lifecycle-LRT

description: Collection of in situ measurements of the particle size distribution of atmospheric mineral dust particles representative of long−range transport conditions (LRT, &gt;4 days after emission; number of datasets N=10). Data are reported as volume size distributions (dV/dlogD) versus geometrical diameter. The name of each dataset indicate the original reference publication, sometimes with indication of a specific technique. Level−1 (LEV1) data are obtained by interpolating raw data (LEV0) over a common size range of equi−logarithmically spaced diameters (dlogD = 0.05) encompassing the original diameter range for each dataset. Level-2a (LEV2a) data, based on LEV1, harmonize the size distributions by converting the operational original particle diameters, which depend on the physical principle of each instrument, into a common–defined sphere−equivalent geometric diameter. Level−2b (LEV2b), based on LEV1, harmonize the size distributions by converting the operational original particle diameters into a common–defined geometrical diameter by taking into account that mineral dust is aspherical. Each dataset is normalized so that the integral is equal to 1 over a common diameter range. The diameter range for integral normalization was set to be the largest as possible and to be covered by more than 90% of the datasets in each category. For MRT data this common range for integral normalization is 0.71 and 8.9 µm. Statistical metrics (mean, median, 25% and 75% percentiles, and standard deviation) are provided. Full details are provided in Formenti and Di Biagio (2024) (main manuscript and supplementary information).
DOI: 10.57932/58dbe908-9394-4504-9099-74a3e77140e9
title: Large synthesis of in situ field measurements of the size distribution of mineral dust aerosols across their lifecycle-SOURCE

description: Collection of in situ measurements of particle size distribution of atmospheric mineral dust particles representative of emission/source conditions (SOURCE, &lt;1 day from emission; number of datasets N=12). Data are reported as volume size distributions (dV/dlogD) versus geometrical diameter. The name of each dataset indicate the original reference publication, sometimes with indication of a specific technique. Level−1 (LEV1) data are obtained by interpolating raw data (LEV0) over a common size range of equi−logarithmically spaced diameters (dlogD = 0.05) encompassing the original diameter range for each dataset. Level-2a (LEV2a) data, based on LEV1, harmonize the size distributions by converting the operational original particle diameters, which depend on the physical principle of each instrument, into a common–defined sphere−equivalent geometric diameter. Level−2b (LEV2b), based on LEV1, harmonize the size distributions by converting the operational original particle diameters into a common–defined geometrical diameter by taking into account that mineral dust is aspherical. Each dataset is normalized so that the integral is equal to 1 over a common diameter range. The diameter range for integral normalization was set to be the largest as possible and to be covered by more than 90% of the datasets in each category. For SOURCE data this common range for integral normalization is 1.58-7.1 µm. Statistical metrics (mean, median, 25% and 75% percentiles, and standard deviation) are provided. Full details are provided in Formenti and Di Biagio (2024) (main manuscript and supplementary information).
DOI: 10.11588/data/blxcsm
title: Two-dimensional coherent electronic spectrometer with switchable multi-color configurations [research data]

description: Broadband implementation of two-dimensional electronic spectroscopy (2DES) is a desirable goal for numerous research groups, yet achieving it presents considerable challenges. An effective strategy to mitigate these challenges is the utilization of two-color approaches, effectively broadening the spectral bandwidth accessible with 2DES. Here, we present a simple approach to include multi-color configurations based on adjustable mirror mounts. This enables seamless toggling between single-color, two-color, and transient 2DES within the same spectroscopic apparatus, which is benchmarked on two common laser dyes, Rhodamine 6G and Nile blue. Upon mixing the dyes, single-color 2DES shows overlapping signals, whereas a high selectivity toward Nile blue responses is maintained in two-color and transient 2DES, owing to the fully resonant excitation that is spectrally shifted relative to the detection window. This method is readily implemented in other setups with similar experimental layouts and can be used as a simple solution to overcome existing bandwidth limitations. With the inclusion of transient 2DES, additional insights into excited-state processes can be gained due to its increased sensitivity toward excited-state coherences.
DOI: 10.15139/s3/xalhiy
title: Household Deidentified Survey Data

description: This data was generated from a 14-country evaluation of rural households, and describes household characteristics, water service and use; sanitation behaviors and facilities; hygiene behaviors and facilities; and cleanliness. The evaluation was conducted in World Vision WaSH program areas, as well as comparison areas, in Ethiopia, Ghana, Honduras, India, Kenya, Malawi, Mali, Mozambique, Niger, Rwanda, Tanzania, Uganda, Zambia, and Zimbabwe. Note that this dataset is unweighted.
DOI: 10.5517/ccdc.csd.cc2ghh8r
title: CCDC 2279004: Experimental Crystal Structure Determination

description: Related Article: Fatma Bursalı, Yüksel Şahin, Muhittin Aygün, Resul Sevincek, H. Halil Bıyık, Hüseyin Özgener, Burçin Gürbüz|2024|Inorg.Chem.Commun.|162|112268|doi:10.1016/j.inoche.2024.112268
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.10865596
title: Laboratory and Clinical Measurements - Influence of anode/filtration setup on X-ray multimeter energy response in mammography applications

description: The data contains measurement results for selected types of X-ray multimeters in mammography applications. In the Laboratory conditions absolute and relative response were determined for available software settings of the tested multimeters. In the clinical mammography units the multimeters' response was evaluated in different anode/filtration setups.
DOI: 10.5281/zenodo.10865597
title: Laboratory and Clinical Measurements - Influence of anode/filtration setup on X-ray multimeter energy response in mammography applications

description: The data contains measurement results for selected types of X-ray multimeters in mammography applications. In the Laboratory conditions absolute and relative response were determined for available software settings of the tested multimeters. In the clinical mammography units the multimeters' response was evaluated in different anode/filtration setups.
DOI: 10.6084/m9.figshare.25469950.v1
title: Supplementary Material for: Kidney failure secondary to hereditary xanthinuria due to a homozygous deletion of the XDH gene, in the absence of overt kidney stone disease

description: Hereditary xanthinuria (HXAN) is a rare metabolic disorder that results from mutations in either the xanthine dehydrogenase (XDH) or the molybdenum cofactor sulfurase genes (MOCOS), respectively defining HXAN type I and type II. Hypouricemia, hypouricosuria, and abnormally high plasma and urine levels of xanthine, causing susceptibility to xanthine nephrolithiasis and deposition of xanthine crystals in tissues, are the metabolic hallmarks of HXAN. Several pathogenic variants in the XDH gene have so far been identified in patients with HXAN type I, but the clinical phenotype associated with the whole deletion of the human XDH gene is unknown. Herein, we report the case of a woman diagnosed with HXAN, whose molecular genetic testing revealed a homozygous microdeletion involving the XDH gene. Distinctive features of her medical history were the diagnosis of arterial hypertension and microalbuminuria at 22 years of age; a single pregnancy, at the age of 25, complicated by proteinuria and transient kidney function deterioration in the third trimester; unexplained severe hypouricaemia incidentally discovered during pregnancy; inability to breastfeed her newborn daughter due to primary agalactia; chronic kidney disease (CKD) stage 3 diagnosed at age 35; and progression to end-stage kidney disease over the next 12 years. Protocol non-invasive laboratory and imaging investigation was not informative as to the cause of CKD. This is the first description of the clinical phenotype associated with a natural knockout of the human XDH gene. Despite the lack of kidney histopathology data, the striking similarities with the phenotypes exhibited by comparable murine models validates the latter as useful sources of mechanistic insights for the pathogenesis of the human disease, supporting the hypothesis that the absence of xanthine dehydrogenase activity might represent a susceptibility factor for chronic tubulointerstitial nephritis, even in patients without kidney stones.
DOI: 10.6084/m9.figshare.25469956.v1
title: Supplementary Material for: Characterization of pleural mesothelioma by hierarchical clustering analyses using immune cells within tumor microenvironment.

description: Introduction: Over the past decade, classifications using immune cell infiltration have been applied to many types of tumors; however, mesotheliomas have been less frequently evaluated. Methods: In this study, 60 well-characterized pleural mesotheliomas (PMs) were evaluated immunohistochemically for the characteristics of immune cells within tumor microenvironment (TME) using 10 immunohistochemical markers CD3, CD4, CD8, CD56, CD68, CD163, FOXP3, CD27, PD-1 and TIM-3. For further characterization of PMs, hierarchical clustering analyses using these 10 markers were performed. Results: Among the immune cell markers, CD3 (P &lt; 0.0001), CD4 (P = 0.0016), CD8 (P = 0.00094), CD163+ (P = 0.042) and FOXP3+ (P = 0.025) were significantly associated with unfavorable clinical outcome. Immune checkpoint receptor expressions on tumor-infiltrating lymphocytes such as PD-1 (P = 0.050), CD27 (P = 0.014) and TIM-3 (P = 0.0098) were also associated with unfavorable survival. Hierarchical clustering analyses identified three groups showing specific characteristics and significant associations with patient survival (P = 0.011): the highest number of immune cells (ICHigh); the lowest number of immune cells, especially CD8+ and CD163+ cells (ICLow); and intermediate number of immune cells (ICInt). ICHigh tumors showed significantly higher expression of PD-L1 (P = 0.00038). Cox proportional hazard model identified ICHigh [hazard ratio (HR) = 2.90] and ICInt (HR = 2.97) as potential risk factors compared with ICLow. Tumor CD47 (HR = 2.36), tumor CD70 (HR = 3.04) and tumor PD-L1 (HR = 3.21) expressions were also identified as potential risk factors for PM patients. Conclusion: Our findings indicate immune checkpoint and/or immune cell-targeting therapies against CD70-CD27 and/or CD47-SIRPA axes may be applied for PM patients in combination with PD-L1-PD-1 targeting therapies in accordance with their tumor immune microenvironment characteristics.
DOI: 10.60629/j236-3333
title: Dowcipy z autokorektą u Plauta (dane ilościowe)
title: Self-repair jokes in Plautus (quantitative data)

description: Dane ilościowe dowcipów zawierających auto-korektę w komediach Plauta.
description: Quantitative data concerning self-repair jokes in the comedies by Plautus.
DOI: 10.35097/clnvjaqfeuoyefzh
title: Cognitive State Detection with Eye Tracking in the Field: An Experience Sampling Study and its Lessons Learned - Dataset & Analysis Script

description: This dataset contains all calculated eye-based features and cognitive state labels collected during an experience sampling study with eye tracking data. The analysis scripts to develop cognitive state models are also included.
DOI: 10.15468/vfm22m
title: Rangeland vegetation of Olangchung Gola, Eastern Himalaya, Nepal

description: This dataset contains the field observation of vegetation from the rangeland of Olangchung Gola, Eastern Himalaya, Nepal. A vegetation survey was conducted to record the plant species diversity in the pastureland at four different altitudes (3750, 4000, 4250 and 4500 masl)
DOI: 10.5281/zenodo.10008993
title: Data to Support Predictive Models for Detrital Titanite Provenance with application to the Nanga Parbat syntaxial massif, western Himalaya."

description: The files published here are metadata that are being used to support a manuscript currently (Dec, 2023) undergoing review in Journal of Geophysical Research: Earth Surface.

The intention of these data and code is to support a publication that is about generating a predictive categorisation scheme for the mineral titanite.

The code to generate the titanite classification schemes was created in Python3, using Jupyter Notebook. The files also provide more motivation for why a predictive categorisation scheme for the mineral titanite is desirable, and other similar context. Chiefly, the dataset and random forest models published here will allow us to trace titanite in detritus.

For info on running Jupyter Notebook, please visit (https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/execute.html) to seek instructions. We also provide a readme file with some instructions. If you get really stuck, just email the authors.

Our Model can be compared to similar previously published works (e.g. https://doi.org/10.1111/ter.12574).

The supplementary file "Table_S4_Merged.csv" was used to train and generate the model.

Your unknowns must contain the correct elements and labelling for the code to successfully run, these details are provided in the code (Titanite_Random_Forest_Model1_Dec23.ipynb). A template is also provided for you to paste your unknown data into (titanite_data_template.csv)

Any new published data are titanite compositional or isotopic data collected by LA-ICP-MS. Description of how those data were collected is given in "OSullivan_et_al_Supp..." file.

Some of the data, information and code in this submission has been subject to change after journal review, this is a second version of this content.

References for the dataset compilation are provided in File S3.

If you have any queries contact:Gary O'Sullivan, Trinity College Dublin
description: The authors acknowledge financial support from the Irish Research Council (Government of Ireland Postdoctoral Fellowship GOIPD/2019/906 to GO'S); Science Foundation Ireland (Starting Investigator Research Grant 18/SIRG/5559 to CM); the Australian Research Council (grants LP0991834 and FL160100168 to ES); and by a Robert and Maude Gledden Postgraduate Scholarship (to ES). NCIG equipment used in this study was funded by grants from Science Foundation Ireland (13/RC/2092) and the Irish Higher Education Authority through the Programme for Research at Third Level Institutions, Cycle 5 (PRTLI-5). GeoHistory Facility instruments at the JdLC, Curtin University were funded by an Australian Geophysical Observing System grant provided to AuScope Pty Ltd. by the AQ44 Australian Education Investment Fund program.