cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16641478
title: Federated learning enables intelligent-Source-Code-2021.zip

description: The Intelligent Reflecting Surface (IRS) is a ground-breaking technology that can boost the efficiencyof wireless data transmission systems. Specifically, the wireless signal transmitting environment isreconfigured by adjusting a large number of small reflecting units simultaneously. Therefore, intelligentreflecting surface (IRS) has been suggested as a possible solution for improving several aspects of futurewireless communication. However, individual nodes are empowered in IRS, but decisions and learning ofdata are still made by the centralized node in the IRS mechanism. Whereas, in previous works, theproblem of energy-efficient and delayed awareness learning IRS-assisted communications has beenlargely overlooked. The federated learning aware Intelligent Reconfigurable Surface Task Schedulingschemes (FL-IRSTS) algorithm is proposed in this paper to achieve high-speed communication withenergy and delay efficient offloading and scheduling. The training of models is divided into differentnodes. Therefore, the trained model will decide the IRSTS configuration that best meets the goals interms of communication rate. Multiple local models trained with the local healthcare fog-cloud networkfor each workload using federated learning (FL) to generate a global model. Then, each trained modelshared its initial configuration with the global model for the next training round. Each application’shealthcare data is handled and processed locally during the training process. Simulation results showthat the proposed algorithm’s achievable rate output can effectively approach centralized machinelearning (ML) while meeting the study’s energy and delay objectives.
DOI: 10.6084/m9.figshare.16641478.v1
title: Federated learning enables intelligent-Source-Code-2021.zip

description: The Intelligent Reflecting Surface (IRS) is a ground-breaking technology that can boost the efficiencyof wireless data transmission systems. Specifically, the wireless signal transmitting environment isreconfigured by adjusting a large number of small reflecting units simultaneously. Therefore, intelligentreflecting surface (IRS) has been suggested as a possible solution for improving several aspects of futurewireless communication. However, individual nodes are empowered in IRS, but decisions and learning ofdata are still made by the centralized node in the IRS mechanism. Whereas, in previous works, theproblem of energy-efficient and delayed awareness learning IRS-assisted communications has beenlargely overlooked. The federated learning aware Intelligent Reconfigurable Surface Task Schedulingschemes (FL-IRSTS) algorithm is proposed in this paper to achieve high-speed communication withenergy and delay efficient offloading and scheduling. The training of models is divided into differentnodes. Therefore, the trained model will decide the IRSTS configuration that best meets the goals interms of communication rate. Multiple local models trained with the local healthcare fog-cloud networkfor each workload using federated learning (FL) to generate a global model. Then, each trained modelshared its initial configuration with the global model for the next training round. Each application’shealthcare data is handled and processed locally during the training process. Simulation results showthat the proposed algorithm’s achievable rate output can effectively approach centralized machinelearning (ML) while meeting the study’s energy and delay objectives.
DOI: 10.25721/weqc-n691
title: Michaud veillait
DOI: 10.5281/zenodo.5599399
title: PWB Bone SR - Supplementary Table S2 (Reasons for Exclusion)

description: Supplementary material for the manuscript entitled 'Bone Deconditioning During Partial Weight-Bearing in Rodents – A Systematic Review and Meta-Analysis'
DOI: 10.5281/zenodo.5599398
title: PWB Bone SR - Supplementary Table S2 (Reasons for Exclusion)

description: Supplementary material for the manuscript entitled 'Bone Deconditioning During Partial Weight-Bearing in Rodents – A Systematic Review and Meta-Analysis'
DOI: 10.25721/0hdx-kd44
title: Chantons Noël
DOI: 10.6073/pasta/f268c0b4fc7fdc9deb9c2609ca6c5810
title: Shrimp populations in Quebrada Prieta (Pools 0, 8, 9, 15) (El Verde)

description: Freshwater shrimp from the Quebrada Prieta (a tributary to the Sonadora in the Espiritu Santu drainage, have been censused 6 times yearly since 1988. Atya lanipes, Xiphocaris elongata and Macrobrachium spp. are regularly captured and comprise the species in this dataset.
DOI: 10.6084/m9.figshare.16870966
title: Supplementary Material for: Melanogenesis markers expression in premature graying of hair- a cross-sectional study

description: Background: Studies on mice and aging human hair follicles provide compelling evidence that graying of hair results from premature differentiation of Melanocyte stem cells (MeSC) in the niche/bulge. Objective: To analyze whether differentiation of melanocyte stem cells is responsible for premature graying of hair (PGH). Methods: Twenty- five patients of PGH (n=25) attending dermatology department were recruited. Five unpigmented and five pigmented hairs were obtained per patient by separating individual follicles by 1 mm punch biopsies. The hairs were dissected at a distance of 2 mm from the bulb to separate the stem cells (upper segment) (US) from the melanocytes (lower segment) (LS). RNA was extracted from hair follicle segments US and LS, and expression of GP100, Tyrosinase (TYR) and Tyrosinase related protein-1 (TYRP1) genes was quantified using Qiagen one-step RT-PCR kit. Results: We found melanogenesis gene expression in both temporary (US) and permanent (LS) segments of unpigmented and pigmented hair follicles. When compared between the US and LS of white hair, the expression of TYR and GP100 was much higher in US than LS, suggestive of melanogenesis in the bulge. Similarly, when compared between white and black US, the expression of all three genes was higher in white US than black US, although not statistically significant. Limitations: Low samples size and lack of data pertaining to the expression of genes at protein level are the limitations of current study. Conclusion: Even though this pilot study data yielded key information about the expression of GP100, TYR and TYRP-1 at mRNA level, further studies quantifying the expression of these genes at protein level are needed to provide additional clues to further address the results in detail.
DOI: 10.48370/ofd/9la6m3
title: Ochropsora ariae (Fuckel) Ramsbottom, 3062

description: Fungarium Micromycetes
DOI: 10.6084/m9.figshare.16870963
title: participant private data

description: demographic data and social touch questionnaire data<br>
DOI: 10.6084/m9.figshare.16870963.v1
title: participant private data

description: demographic data and social touch questionnaire data<br>
DOI: 10.25550/6-2epy
title: Atlases and project-wide landmarks

description: _This dataset contains the MusMorph atlases and project-wide landmarks._ Each stage-specific atlas has a volume (.mnc), surface (.ply), mask (.mnc), segmentations (.mnc, if available), and landmarks (.tag). Any preprocessed image can be registered to these atlases and labelled using the scripts in our [GitHub repository](https://github.com/jaydevine/MusMorph/tree/main/Processing). The scripts are designed to run on a compute cluster, as we strongly recommend to parallelize the image registrations. Note that .mnc and .tag files derive from the [MINC Toolkit software](https://bic-mni.github.io/), which runs on Linux and Mac. Various [MINC libraries](http://bic-mni.github.io/man-pages/) can be used to view and analyze these files on the command line. However, it is also possible to view .mnc files in other open-source software, such as 3D Slicer or ImageJ via the Bio-Formats Importer plugin. The .ply surfaces and .tag landmark coordinates can be read into R using the [morpho.tools.GM package](https://doi.org/10.5281/zenodo.4673771). The .tag files can also be converted to .fcsv for visualizations in 3D Slicer. The landmark .tag files provided across all other MusMorph datasets are individual files. After downloading these files via BDBag, the user can import all individual .tag files into R for morphometric analyses using the aforementioned morpho.tools.GM package. However, for ease of access, we have also concatenated the landmark coordinates into stage-specific .csv files. These project-wide landmark datasets are available in this repository.
DOI: 10.5281/zenodo.5550295
title: PWB Muscle SR - Supplementary Table S2 (Reasons for Exclusion)

description: Supplementary Material for the manuscript entitled 'Skeletal Muscle Deconditioning During Partial Weight-Bearing in Rodents – A Systematic Review and Meta-Analysis'
DOI: 10.5281/zenodo.5550294
title: PWB Muscle SR - Supplementary Table S2 (Reasons for Exclusion)

description: Supplementary Material for the manuscript entitled 'Skeletal Muscle Deconditioning During Partial Weight-Bearing in Rodents – A Systematic Review and Meta-Analysis'
DOI: 10.5281/zenodo.5599447
title: PWB Muscle SR - Supplementary Table S2 (Reasons for Exclusion)

description: Supplementary material for the manuscript entitled ' Skeletal Muscle Deconditioning During Partial Weight-Bearing in Rodents – A Systematic Review and Meta-Analysis'
DOI: 10.5281/zenodo.5599446
title: PWB Muscle SR - Supplementary Table S2 (Reasons for Exclusion)

description: Supplementary material for the manuscript entitled ' Skeletal Muscle Deconditioning During Partial Weight-Bearing in Rodents – A Systematic Review and Meta-Analysis'
DOI: 10.18112/openneuro.ds003777.v1.0.1
title: bids_dataset
DOI: 10.5517/ccdc.csd.cc289xp6
title: CCDC 2094908: Experimental Crystal Structure Determination

description: Related Article: Yang Li, Xueqin Tian, Weiwei Jiang, Pengyan Wu, Han-Shu Li, Man Wang, Chen Lin, Jian Wang|2021|Chem.Commun.|57|10803|doi:10.1039/D1CC04371D
DOI: 10.6084/m9.figshare.16870861
title: TestSet

description: Test Dataset for ViTMag model.
DOI: 10.6084/m9.figshare.16870978
title: Drosophila microbiota

description: <i>We investigated the influence of population origin and heavy metal exposure to the diversity of microbiota in two species, Drosophila melanogaster and Drosophila subobscura grown in laboratory on lead (II) acetate (Pb(CH3COO)<sub>2</sub>) saturated substrate. The composition of microbiota in larvae and adults was determined by sequencing (NGS) of the V3-V4 variable regions of the 16S rRNA gene. </i><br>
DOI: 10.6084/m9.figshare.16870978.v1
title: Drosophila microbiota

description: <i>We investigated the influence of population origin and heavy metal exposure to the diversity of microbiota in two species, Drosophila melanogaster and Drosophila subobscura grown in laboratory on lead (II) acetate (Pb(CH3COO)<sub>2</sub>) saturated substrate. The composition of microbiota in larvae and adults was determined by sequencing (NGS) of the V3-V4 variable regions of the 16S rRNA gene. </i><br>
DOI: 10.34740/kaggle/dsv/2743447
title: UNET Lung Segmentation Weights for Chest X Rays
DOI: 10.5281/zenodo.5548907
title: Data for Jucker and Goyal, Ozone-forced Southern Annular Mode during Antarctic Stratospheric Warming Events, Geophysical Research Letters, submitted

description: Data from climate model simulations and reanalysis which were analysed in associated paper. Read README file for detailed information on each file.
DOI: 10.5281/zenodo.5598361
title: Dataset Experimentos

description: Dataset utilizado nos três experimentos.
DOI: 10.5281/zenodo.5598360
title: Dataset Experimentos

description: Dataset utilizado nos três experimentos.
DOI: 10.6073/pasta/cc137147470166d9ba078bc64c48d1f3
title: Bisley Tower I Meteorological data (Bisley Tower)

description: Several meteorological parameters are being measured at Bisley since 1993. Correlations between elevation and stream-runoff and rainfall, elevation and air and soil temperature, and between trhoughfall and vegetation types have been found. These relationships are used inhydrologic and nutrient budgets as well as in environmental models . Electronic sensors are placed at the field location to support other activities.
DOI: 10.25646/9176
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5281/zenodo.5599454
title: Differentially Private Release of Event Logs for Process Mining

description: The anonymized event logs of the experiments in the paper "Differentially Private Release of Event Logs for Process Mining"
DOI: 10.5281/zenodo.5599453
title: Differentially Private Release of Event Logs for Process Mining

description: The anonymized event logs of the experiments in the paper "Differentially Private Release of Event Logs for Process Mining"
DOI: 10.5281/zenodo.5293834
title: Supplementary Data for the manuscript "A basic guide to integrated CLEWs modelling: Teaching key concepts"

description: This dataset refers to the modelling exercise (version01_210616RCLEWs) described in the manuscript<strong> </strong>"A basic guide to integrated CLEWs modelling: Teaching key concepts". The dataset contains the OSeMOSYS code used to run the modelling exercise, the model input data, the scenarios model data files, and the results. The code for the results visualisation is available at https://github.com/KTH-dESA/teaching-CLEWs_visualization.
DOI: 10.6084/m9.figshare.16871317
title: Supplementary Material for: Vegetable Preference and Prediction of Proteinuria: A Retrospective Cohort Study

description: <b><i>Introduction:</i></b> Little information is available about the association between vegetable preference and chronic kidney disease. <b><i>Methods:</i></b> This retrospective cohort study included 10,819 university workers in Japan who underwent their annual health checkups between January 2005 and March 2013. According to a question “Do you like vegetables”? with 3 possible answers of “I like vegetables,” “I like vegetables somewhat,” or “I dislike vegetables,” 2,831, 2,249, and 104 male workers and 3,902, 1,648, and 85 female workers were classified into the “like,” “somewhat,” and “dislike” groups, respectively. An association between vegetable preference and incidence of proteinuria (dipstick urinary protein ≥1+) was assessed using Cox proportional-hazards models adjusted for clinically relevant factors. <b><i>Results:</i></b> During the median observational period of 5.0 years, the incidence of proteinuria was observed in 650 (12.7%) male and 789 (14.1%) female workers. Among male workers, the “dislike” group had a significantly higher risk of proteinuria (multivariable-adjusted hazard ratio of “like,” “somewhat,” and “dislike” groups: 1.00 [reference], 1.05 [0.90–1.23], and 1.59 [1.01–2.50], respectively). Among female workers, vegetable preference was associated with the incidence of proteinuria in a dose-dependent manner (1.00 [reference], 1.20 [1.04–1.40], 1.95 [1.26–3.02], respectively). <b><i>Conclusion:</i></b> “Do you like vegetables”? was a clinically useful tool to identify subjects vulnerable to proteinuria.
DOI: 10.6084/m9.figshare.16871317.v1
title: Supplementary Material for: Vegetable Preference and Prediction of Proteinuria: A Retrospective Cohort Study

description: <b><i>Introduction:</i></b> Little information is available about the association between vegetable preference and chronic kidney disease. <b><i>Methods:</i></b> This retrospective cohort study included 10,819 university workers in Japan who underwent their annual health checkups between January 2005 and March 2013. According to a question “Do you like vegetables”? with 3 possible answers of “I like vegetables,” “I like vegetables somewhat,” or “I dislike vegetables,” 2,831, 2,249, and 104 male workers and 3,902, 1,648, and 85 female workers were classified into the “like,” “somewhat,” and “dislike” groups, respectively. An association between vegetable preference and incidence of proteinuria (dipstick urinary protein ≥1+) was assessed using Cox proportional-hazards models adjusted for clinically relevant factors. <b><i>Results:</i></b> During the median observational period of 5.0 years, the incidence of proteinuria was observed in 650 (12.7%) male and 789 (14.1%) female workers. Among male workers, the “dislike” group had a significantly higher risk of proteinuria (multivariable-adjusted hazard ratio of “like,” “somewhat,” and “dislike” groups: 1.00 [reference], 1.05 [0.90–1.23], and 1.59 [1.01–2.50], respectively). Among female workers, vegetable preference was associated with the incidence of proteinuria in a dose-dependent manner (1.00 [reference], 1.20 [1.04–1.40], 1.95 [1.26–3.02], respectively). <b><i>Conclusion:</i></b> “Do you like vegetables”? was a clinically useful tool to identify subjects vulnerable to proteinuria.
DOI: 10.5281/zenodo.5599524
title: Data for preprint: "Non-Telecentric 2P microscopy for 3D random access mesoscale imaging "

description: Numerical data used in latest version of preprint: "Non-Telecentric 2P microscopy for 3D random access mesoscale imaging ", https://www.researchsquare.com/article/rs-121292/v1
DOI: 10.5281/zenodo.5599523
title: Data for preprint: "Non-Telecentric 2P microscopy for 3D random access mesoscale imaging "

description: Numerical data used in latest version of preprint: "Non-Telecentric 2P microscopy for 3D random access mesoscale imaging ", https://www.researchsquare.com/article/rs-121292/v1
DOI: 10.6084/m9.figshare.16871608
title: Supplementary Material for: Evaluation of High Cholesterol and Risk of Dementia and Cognitive Decline in Older Adults Using Individual Patient Meta-Analysis

description: <b><i>Introduction:</i></b> Although increased cholesterol level has been acknowledged as a risk factor for dementia, evidence synthesis based on published data has yielded mixed results. This is especially relevant in older adults where individual studies report non-linear relationships between cholesterol and cognition and, in some cases, find higher cholesterol associated with a lower risk of subsequent cognitive decline or dementia. Prior evidence synthesis based on published results has not allowed us to focus on older adults or to standardize analyses across studies. Given our ageing population, an increased risk of dementia in older adults, and the need for proportionate treatment in this age group, an individual participant data (IPD) meta-analysis is timely. <b><i>Method:</i></b> We combined data from 8 studies and over 21,000 participants aged 60 years and over in a 2-stage IPD to examine the relationship between total, high-density, and low-density lipoprotein (HDL and LDL) cholesterol and subsequent incident dementia or cognitive decline, with the latter categorized using a reliable change index method. <b><i>Results:</i></b> Meta-analyses found no relationship between total, HDL, or LDL cholesterol (per millimoles per litre increase) and risk of cognitive decline in this older adult group averaging 76 years of age. For total cholesterol and cognitive decline: odds ratio (OR) 0.93 (95% confidence interval [CI] 0.86: 1.01) and for incident dementia: OR 1.01 [95% CI 0.89: 1.13]. This was not altered by rerunning the analyses separately for statin users and non-users or by the presence of an <i>APOE</i> e4 allele. <b><i>Conclusion:</i></b> There were no clear consistent relationships between cholesterol and cognitive decline or dementia in this older adult group, nor was there evidence of effect modification by statin use. Further work is needed in younger populations to understand the role of cholesterol across the life-course and to identify any relevant intervention points. This is especially important if modification of cholesterol is to be further evaluated for its potential influence on risk of cognitive decline or dementia.
DOI: 10.6084/m9.figshare.16871608.v1
title: Supplementary Material for: Evaluation of High Cholesterol and Risk of Dementia and Cognitive Decline in Older Adults Using Individual Patient Meta-Analysis

description: <b><i>Introduction:</i></b> Although increased cholesterol level has been acknowledged as a risk factor for dementia, evidence synthesis based on published data has yielded mixed results. This is especially relevant in older adults where individual studies report non-linear relationships between cholesterol and cognition and, in some cases, find higher cholesterol associated with a lower risk of subsequent cognitive decline or dementia. Prior evidence synthesis based on published results has not allowed us to focus on older adults or to standardize analyses across studies. Given our ageing population, an increased risk of dementia in older adults, and the need for proportionate treatment in this age group, an individual participant data (IPD) meta-analysis is timely. <b><i>Method:</i></b> We combined data from 8 studies and over 21,000 participants aged 60 years and over in a 2-stage IPD to examine the relationship between total, high-density, and low-density lipoprotein (HDL and LDL) cholesterol and subsequent incident dementia or cognitive decline, with the latter categorized using a reliable change index method. <b><i>Results:</i></b> Meta-analyses found no relationship between total, HDL, or LDL cholesterol (per millimoles per litre increase) and risk of cognitive decline in this older adult group averaging 76 years of age. For total cholesterol and cognitive decline: odds ratio (OR) 0.93 (95% confidence interval [CI] 0.86: 1.01) and for incident dementia: OR 1.01 [95% CI 0.89: 1.13]. This was not altered by rerunning the analyses separately for statin users and non-users or by the presence of an <i>APOE</i> e4 allele. <b><i>Conclusion:</i></b> There were no clear consistent relationships between cholesterol and cognitive decline or dementia in this older adult group, nor was there evidence of effect modification by statin use. Further work is needed in younger populations to understand the role of cholesterol across the life-course and to identify any relevant intervention points. This is especially important if modification of cholesterol is to be further evaluated for its potential influence on risk of cognitive decline or dementia.
DOI: 10.25721/faec-wd70
title: Biguine (air de Noël)
DOI: 10.6084/m9.figshare.16871614
title: Supplementary Information 2. Raw data for the North Sea modern foraminifera training set

description: Supplementary Information 2. This is the raw data for the North Sea modern foraminifera training set used to develop transfer functions described in Rush et al. 2021
DOI: 10.6084/m9.figshare.16871614.v1
title: Supplementary Information 2. Raw data for the North Sea modern foraminifera training set

description: Supplementary Information 2. This is the raw data for the North Sea modern foraminifera training set used to develop transfer functions described in Rush et al. 2021
DOI: 10.6084/m9.figshare.16871638
title: read1_right.out.bw

description: This is a data for displaying
DOI: 10.6084/m9.figshare.16871638.v1
title: read1_right.out.bw

description: This is a data for displaying