cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20226101
title: Additional file 5 of Development and validation of a horse reference panel for genotype imputation

description: Additional file 5: Table S2. Monte Carlo analysis of variance for three interdependent datasets. Proportion of the variation in the 60K data, the imputed panel and the sequence data that was explained by the variation in the two other respective datasets, depending on the reference panel (RP) and imputation software used.
DOI: 10.6084/m9.figshare.20226101.v1
title: Additional file 5 of Development and validation of a horse reference panel for genotype imputation

description: Additional file 5: Table S2. Monte Carlo analysis of variance for three interdependent datasets. Proportion of the variation in the 60K data, the imputed panel and the sequence data that was explained by the variation in the two other respective datasets, depending on the reference panel (RP) and imputation software used.
DOI: 10.6084/m9.figshare.20226104.v1
title: Additional file 6 of Development and validation of a horse reference panel for genotype imputation

description: Additional file 6: Table S3. High-impact variants in the variants call set of 317 horses. High-impact variants identified by variant effect prediction were tested for a significant absence or reduction of homozygotes using a binomial test under the assumptions of Hardy-Weinberg equilibrium. The obtained p-values were adjusted for multiple testing using Bonferroni correction. Variants that affect more than one gene or have different effects on different isoforms of a protein are listed multiple times, once for each gene/isoform. However, for significance testing, each variant was only considered once.
DOI: 10.6084/m9.figshare.20226104
title: Additional file 6 of Development and validation of a horse reference panel for genotype imputation

description: Additional file 6: Table S3. High-impact variants in the variants call set of 317 horses. High-impact variants identified by variant effect prediction were tested for a significant absence or reduction of homozygotes using a binomial test under the assumptions of Hardy-Weinberg equilibrium. The obtained p-values were adjusted for multiple testing using Bonferroni correction. Variants that affect more than one gene or have different effects on different isoforms of a protein are listed multiple times, once for each gene/isoform. However, for significance testing, each variant was only considered once.
DOI: 10.6084/m9.figshare.19661235.v1
title: Compilation of geochemical data from topsoil samples from across China

description: 1. This file is a supplement to the manuscript “Modern silicate weathering regimes across China revealed by geochemical records from topsoils” by Guo et al. (2022, Journal of Geophysical Research: Earth Surface). 2. This file compiles bulk and fine fraction (&lt;2 μm) samples datasets, and the corresponding references. 3. Outliers with a low value are surrounded by features with high values (LH) and those with a high value are surrounded by features with low values (HL), at the 95% confidence level. The outliers were excluded from the kriging interpolation. 4. Meteorological data are generated using ArcGIS 10.2 and the spatial statistics and analytical methods described in section 2.4, using long-term (1961–2010) climate data. 5. Data of the time-averaged shear-wave velocity in the upper 30 m (Vs30) in China are from https://earthquake.usgs.gov. 6. Lithological data for China are from https://doi.org/10.1594/PANGAEA.788537. 7. Empty cells for MAP, MAT, Humidity, Vs30 and Lithology correspond to no data for discussion due to exclusion of CIA outliers. It also avoids the potential effects of the CIA outliers on discussion. 8. If you plan to use the compiled dataset in this file, please cite the paper of Guo et al. (2022). <br>
DOI: 10.5281/zenodo.6796499
title: Heterogeneous glycosylation and methylation of the Aeromonas caviae flagellin.

description: Manual analysis of A. caviae FlaB glycopepetides
DOI: 10.5281/zenodo.6796498
title: Heterogeneous glycosylation and methylation of the Aeromonas caviae flagellin.

description: Manual analysis of A. caviae FlaB glycopepetides
DOI: 10.6084/m9.figshare.19661235.v2
title: Compilation of geochemical data from surface soil samples from across China

description: 1. This file is a supplement to the manuscript “Modern silicate weathering regimes across China revealed by geochemical records from surface soils” by Guo et al. (2022, Journal of Geophysical Research: Earth Surface). 2. This file compiles bulk and fine fraction (&lt;2 μm) samples datasets, and the corresponding references. 3. Outliers with a low value are surrounded by features with high values (LH) and those with a high value are surrounded by features with low values (HL), at the 95% confidence level. The outliers were excluded from the kriging interpolation. 4. Meteorological data are generated using ArcGIS 10.2 and the spatial statistics and analytical methods described in section 2.4, using long-term (1961–2010) climate data. 5. Data of the time-averaged shear-wave velocity in the upper 30 m (Vs30) in China are from https://earthquake.usgs.gov. 6. Lithological data for China are from https://doi.org/10.1594/PANGAEA.788537. 7. Empty cells for MAP, MAT, MAP/PET, Vs30 and Lithology correspond to no data for discussion due to exclusion of CIA outliers. It also avoids the potential effects of the CIA outliers on discussion. 8. Instrumental analyses include X-ray fluorescence (XRF), Atomic Absorption Spectroscopy (AAS), Inductively Coupled Plasma-Atomic Emission Spectrometry (ICP-AES), Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES), and Inductively Coupled Plasma Mass Spectrometry (ICP-MS). 9. If you plan to use the compiled dataset in this file, please cite the paper of Guo et al. (2022). <br>
DOI: 10.11588/data/zjat9a/wpr42e
title: 10_Heidata_Bojanowski.zip

description: :unav
DOI: 10.11588/data/zjat9a
title: Electron-beam lithography of cinnamate polythiophene films: conductive nanorods for electronic applications [Data]

description: Research Data associated with the related publication. Synthesis and characterization of cinnamate substituted polythiophene (P3ZT). Cross linkage via UV and electron beam radiation; network formation in thin films controlled by infrared spectroscopy and film retention experiments. Patterning via EBL produces nanorods and contact pads/fingers for nanosized transistor employing doped P3ZT as electrodes.
DOI: 10.6084/m9.figshare.19661235.v3
title: Compilation of geochemical data from surface soil samples from across China

description: 1. This file is a supplement to the manuscript “Modern silicate weathering regimes across China revealed by geochemical records from surface soils” by Guo et al. (2022, Journal of Geophysical Research: Earth Surface). 2. This file compiles bulk and fine fraction (&lt;2 μm) samples datasets, and the corresponding references. 3. Outliers with a low value are surrounded by features with high values (LH) and those with a high value are surrounded by features with low values (HL), at the 95% confidence level. The outliers were excluded from the kriging interpolation. 4. Meteorological data are generated using ArcGIS 10.2 and the spatial statistics and analytical methods described in section 2.4, using long-term (1961–2010) climate data. 5. Data of the time-averaged shear-wave velocity in the upper 30 m (Vs30) in China are from https://earthquake.usgs.gov. 6. Lithological data for China are from https://doi.org/10.1594/PANGAEA.788537. 7. Empty cells for MAP, MAT, MAP/PET, Vs30 and Lithology correspond to no data for discussion due to exclusion of CIA outliers. It also avoids the potential effects of the CIA outliers on discussion. 8. Instrumental analyses include X-ray fluorescence (XRF), Atomic Absorption Spectroscopy (AAS), Inductively Coupled Plasma-Atomic Emission Spectrometry (ICP-AES), Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES), and Inductively Coupled Plasma Mass Spectrometry (ICP-MS). 9. If you plan to use the compiled dataset in this file, please cite the paper of Guo et al. (2022). <br>
DOI: 10.6084/m9.figshare.19705399
title: Increasing calcium scarcity along Afrotropical forest succession

description: A simple excel file with the raw data underlying the figures from the publication. Different tabs per dataset, with the respective legend per tab to interpret the data.
DOI: 10.5281/zenodo.6796559
title: HOSPI-Tools Dataset - DSLR

description: We are working to develop a comprehensive dataset of surgical tools based on specialities, with a hierarchical structure – speciality, pack, set and tool. We belive that this dataset can be useful for computer vision and deep learning research into surgical tool tracking, management and surgical training and audit. We have therefore created an initial dataset of surgical tool (instrument and implant) images, captured using under different lighting conditions and with different backgrounds. We captured RGB images of surgical tools using a DSLR camera and webcam on site in a major hospital under realistic conditions and with the surgical tools currently in use. Image backgrounds in our initial dataset were essentially flat colours, even though different colour backgrounds were used. As we further developed our dataset, we will try to include much greater occlusions, illumination changes, and the presence of blood, tissue and smoke in the images which would be more reflective of crowded, messy, real-world conditions. Illumination sources included natural light – direct sunlight and shaded light – LED, halogen and fluorescent lighting, and this accurately reflected the illumination working conditions within the hospital. Distances of the surgical tools to the camera to the object ranged from 60 to 150 cms., and the average class size was 74 images. Images captured included individual object images as well as cluttered, clustered and occluded objects. Our initial focus was on Orthopaedics and General Surgery, two out of the 14 surgical specialities. We selected these specialities since general surgery instruments are the most commonly used tools across all surgeries and provide instrument volume, while orthopaedics provides variety and complexity given the wide range of procedures, instruments and implants used in orthopaedic surgery. We will add other specialities as we develop this dataset, to reflect the complexities inherent in each of the surgical specialities. This dataset was designed to offer a large variety of tools, arranged hierarchically to reflect how surgical tools are organised in real-world conditions. <br> If you do find our dataset useful, please cite our papers in your work: Rodrigues, M., Mayo, M, and Patros, P. (2022). OctopusNet: Machine Learning for Intelligent Management of Surgical Tools. Published in “Smart Health”, Volume 23, 2022. https://doi.org/10.1016/j.smhl.2021.100244 Rodrigues, M., Mayo, M, and Patros, P. (2021). Evaluation of Deep Learning Techniques on a Novel Hierarchical Surgical Tool Dataset. Accepted paper at The 2021 Australasian Joint Conference on Artificial Intelligence. 2021. To be Published in Lecture Notes in Computer Science series. Rodrigues, M., Mayo, M, and Patros, P. (2021). Interpretable deep learning for surgical tool management. In M. Reyes, P. Henriques Abreu, J. Cardoso, M. Hajij, G. Zamzmi, P. Rahul, and L. Thakur (Eds.), Proc 4th International Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC 2021) LNCS 12929 (pp. 3-12). Cham: Springer.
DOI: 10.5281/zenodo.5895067
title: HOSPI-Tools Dataset - DSLR

description: We are working to develop a comprehensive dataset of surgical tools based on specialities, with a hierarchical structure – speciality, pack, set and tool. We belive that this dataset can be useful for computer vision and deep learning research into surgical tool tracking, management and surgical training and audit. We have therefore created an initial dataset of surgical tool (instrument and implant) images, captured using under different lighting conditions and with different backgrounds. We captured RGB images of surgical tools using a DSLR camera and webcam on site in a major hospital under realistic conditions and with the surgical tools currently in use. Image backgrounds in our initial dataset were essentially flat colours, even though different colour backgrounds were used. As we further developed our dataset, we will try to include much greater occlusions, illumination changes, and the presence of blood, tissue and smoke in the images which would be more reflective of crowded, messy, real-world conditions. Illumination sources included natural light – direct sunlight and shaded light – LED, halogen and fluorescent lighting, and this accurately reflected the illumination working conditions within the hospital. Distances of the surgical tools to the camera to the object ranged from 60 to 150 cms., and the average class size was 74 images. Images captured included individual object images as well as cluttered, clustered and occluded objects. Our initial focus was on Orthopaedics and General Surgery, two out of the 14 surgical specialities. We selected these specialities since general surgery instruments are the most commonly used tools across all surgeries and provide instrument volume, while orthopaedics provides variety and complexity given the wide range of procedures, instruments and implants used in orthopaedic surgery. We will add other specialities as we develop this dataset, to reflect the complexities inherent in each of the surgical specialities. This dataset was designed to offer a large variety of tools, arranged hierarchically to reflect how surgical tools are organised in real-world conditions. <br> If you do find our dataset useful, please cite our papers in your work: Rodrigues, M., Mayo, M, and Patros, P. (2022). OctopusNet: Machine Learning for Intelligent Management of Surgical Tools. Published in “Smart Health”, Volume 23, 2022. https://doi.org/10.1016/j.smhl.2021.100244 Rodrigues, M., Mayo, M, and Patros, P. (2021). Evaluation of Deep Learning Techniques on a Novel Hierarchical Surgical Tool Dataset. Accepted paper at The 2021 Australasian Joint Conference on Artificial Intelligence. 2021. To be Published in Lecture Notes in Computer Science series. Rodrigues, M., Mayo, M, and Patros, P. (2021). Interpretable deep learning for surgical tool management. In M. Reyes, P. Henriques Abreu, J. Cardoso, M. Hajij, G. Zamzmi, P. Rahul, and L. Thakur (Eds.), Proc 4th International Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC 2021) LNCS 12929 (pp. 3-12). Cham: Springer.
DOI: 10.21943/auas.20178833
title: Interviews Beleidsmakers

description: Tijdens het onderzoek zijn drie interviews gehouden met zogenoemde beleidsmakers in de woningcorporatiesector, te weten Vertegenwoordigers/medewerkers van het Ministerie van Binnenlandse Zaken en Koninkrijksrelaties (BZK - huisvestingsvraagstukken vielen toentertijd onder dat ministerie) Aedes, koepelorganisatie van woningcorporaties Autoriteit Woningcorporaties, de onafhankelijke toezichthouder op de sector. De interviews met de eerste twee zijn gehouden door Gert de Jong (projectleider) met Wobbe vd Meulen en Tjerk Budding, onderzoekspartners. Het interview met Aw is gehouden door twee studenten die deelname aan het project onder supervisie van begeleidend docent Ariena Zoutberg. <br> Van de eerste twee interviews is een verslag gemaakt. De hier gedeponeerde versies zijn de gecorrigeerde en geautoriseerde versies. Voorstellen tot wijziging staan uitdrukkelijk in de tekst. <br> Aanvullend op deze interviews is ook gesproken met Peter Hartog Directeur (a.i.) en Manager Vaktechniek IIA Nederland. Het transcript van dat interview wordt hier ook gedeponeerd.
DOI: 10.21943/auas.20178833.v1
title: Interviews Beleidsmakers

description: Tijdens het onderzoek zijn drie interviews gehouden met zogenoemde beleidsmakers in de woningcorporatiesector, te weten Vertegenwoordigers/medewerkers van het Ministerie van Binnenlandse Zaken en Koninkrijksrelaties (BZK - huisvestingsvraagstukken vielen toentertijd onder dat ministerie) Aedes, koepelorganisatie van woningcorporaties Autoriteit Woningcorporaties, de onafhankelijke toezichthouder op de sector. De interviews met de eerste twee zijn gehouden door Gert de Jong (projectleider) met Wobbe vd Meulen en Tjerk Budding, onderzoekspartners. Het interview met Aw is gehouden door twee studenten die deelname aan het project onder supervisie van begeleidend docent Ariena Zoutberg. <br> Van de eerste twee interviews is een verslag gemaakt. De hier gedeponeerde versies zijn de gecorrigeerde en geautoriseerde versies. Voorstellen tot wijziging staan uitdrukkelijk in de tekst. <br> Aanvullend op deze interviews is ook gesproken met Peter Hartog Directeur (a.i.) en Manager Vaktechniek IIA Nederland. Het transcript van dat interview wordt hier ook gedeponeerd.
DOI: 10.6084/m9.figshare.20224641
title: Single-Cell Transcriptomic and Chromatin Accessibility Atlas of Peripheral Blood Mononuclear Cells Reveal the Immune Cell Heterogeneity of Pigs

description: <strong>The study represents the most comprehensive single-cell transcriptomic and regulatory profiling of porcine PBMCs from two distinct breeds at unprecedented resolution. This study improves our understanding about the immune heterogeneity and inter-breed immune trait variations in pigs. We also expect the cell sub-populations, immune markers and core regulators identified in this study would be valuable in facilitating future biomedical studies about human immunology and organ xenotransplantation</strong>.
DOI: 10.6084/m9.figshare.20224641.v1
title: Single-Cell Transcriptomic and Chromatin Accessibility Atlas of Peripheral Blood Mononuclear Cells Reveal the Immune Cell Heterogeneity of Pigs

description: <strong>The study represents the most comprehensive single-cell transcriptomic and regulatory profiling of porcine PBMCs from two distinct breeds at unprecedented resolution. This study improves our understanding about the immune heterogeneity and inter-breed immune trait variations in pigs. We also expect the cell sub-populations, immune markers and core regulators identified in this study would be valuable in facilitating future biomedical studies about human immunology and organ xenotransplantation</strong>.
DOI: 10.5281/zenodo.6791891
title: Artemisia pollen dataset for exploring the potential ecological indicators in deep time

description: To cover the maximum range of <em>Artemisia</em> pollen morphological variation, we provide a pollen dataset of 36 species from 9 clades and 3 outgroups of <em>Artemisia </em>constrained by the phylogenetic framework, containing 4018 original pollen photographs under LM and SEM, 9360 statistical data of pollen morphological traits, together with their 30858 source plant occurrences, and corresponding environmental factors. Here, we attempt to decipher the underlying causes of the long-standing disagreement in the palynological community on the correlation between <em>Artemisia</em> pollen and aridity by using this pollen dataset to recognize the different ecological implications of <em>Artemisia</em> pollen types. The <em>Artemisia</em> pollen dataset as designed is open and expandable for new pollen data from<em> Artemisia</em> worldwide in order to better serve the global environment assessment and refined reconstruction of vegetation in the geological past.
description: {"references": ["GBIF.org (09 November 2021) GBIF Occurrence Download https://doi.org/10.15468/dl.596xd9", "Fick, S.E. and R.J. Hijmans, 2017. WorldClim 2: new 1km spatial resolution climate surfaces for global land areas. International Journal of Climatology 37 (12): 4302-4315."]}
DOI: 10.6084/m9.figshare.19752814
title: Supplementary Material for: Risk factors and heart rate variability associated with left ventricular enlargement in patients with frequent premature ventricular contractions

description: Introduction: Premature ventricular contractions (PVCs) were now well recognized to carry the risk of inducing left ventricular (LV) enlargement and were closely related to the cardiac autonomic nervous activity quantified by heart rate variability (HRV) analysis. However, the relationship between LV enlargement and HRV in patients with frequent PVCs is still unclear. This study aimed to investigate the risk factors and HRV for LV enlargement in patients with Frequent PVCs. Methods: Patients with frequent PVCs (n=571), whose PVC burden counts &gt; 10000/24h or PVC burden &gt; 10%, were recruited. Patients were divided into LV enlargement group (n=161), defined as female left ventricular end-diastolic diameter (LVEDD) &gt; 49.8 mm or male LVEDD &gt; 54.2 mm, and LV normal group (n=410). Two groups were compared on their clinical, electrocardiographic, and HRV parameters. Logistic regression analysis was used to predict the risk factors of LV enlargement in patients with frequent PVCs. The parameters of echocardiography, Holter monitoring, and HRV were collected after ablation. Results: There were significant differences between the patients with left enlargement and with normal LV structure, in terms of sex, left ventricular ejection fraction (LVEF), level of N-terminal pro-brain natriuretic peptide (NT-proBNP), 24-h PVCs burden, with non-sustained ventricular tachycardia, multifocal PVCs, QRS duration of PVC and values of very low-frequency power of HRV parameter (all p&lt;0.05). Multivariate analysis showed that female gender (odds ratio (OR)=2.753, p&lt;0.001), increased NT-proBNP (OR=1.011, p=0.022), increased LVEF (OR=0.292, p&lt;0.001), increased 24-hour PVCs burden (OR=1.594, p&lt;0.001), increased standard deviation of all NN intervals (SDNN) (OR=1.100, p=0.003), increased the proportion of consecutive NN intervals that differ by more than 50ms (PNN50) (OR=0.844, p=0.026) were predictors for LV enlargement in patients with frequent PVCs. 84.4% (54/64) of patients with LV enlargement at baseline had normalized their LV structure after ablation. The values of SDNN, standard deviation of the averages of NN intervals in all 5-min segments, the square root of the mean of the sum of the squares of differences between adjacent NN intervals, pNN50, low-frequency power (LF), LF/high-frequency power ratio of patients were significantly decreased after ablation (all p&lt;0.05). Conclusion: female gender, increased level of NT-proBNP, lower LVEF, higher PVC burden, the increased sympathetic parameters SDNN, and reduced parasympathetic parameters PNN50 were the independent risk factors of LV enlargement in patients with frequent PVCs. LV enlargement induced by PVCs can be reversible after PVC elimination by ablation. The activities of sympathetic and parasympathetic were reduced after ablation.