cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7213008
title: Ordinal analysis of a sausage quality - dataset

description: Supplementary material to the paper “Ordinal analysis of variation of sensory responses in combination with multinomial ordered logistic regression vs. chemical composition: A case study of a sausage quality of different producers", by T. Gadrich, F.R. Pennecchi, I. Kuselman, D.B. Hibbert, A.A. Semenova, P.S. Cheow (submitted to Journal of Food Quality). The dataset is relevant to a comparative testing of a specific kind of sausage as a consumer product (ISO/IEC Guide 46, 2017) organized by the V.M. Gorbatov Federal Research Center for Food Systems, Russia. Samples of boiled-smoked sausage “Moscowskaya” (GOST R 55455, 2013) from 16 different producers were purchased on the market in 2021. The samples were examined by 3 assessors/experts (ISO 8586, 2015) of the Research Center. Five quality sensory properties of the samples were assessed: 1) appearance and packaging, named as “appearance”; 2) consistency; 3) color and appearance of cut sausage, named as “color”; 4) taste, and 5) smell. The expert responses could vary among 5 categories, from “very bad” to “excellent”. Contents (mass fractions) of the 4 main chemical components of the samples (protein, fat, moisture and salt) were taken from the certificates of the producers. Hence, the dataset includes both qualitative and quantitative data.
description: This dataset was analysed in the framework of the IUPAC Project "Harmonization of approaches to interlaboratory comparison of qualitative and related property values of a substance or material" (https://iupac.org/project/2021-017-2-500/). For any question on the Project and the dataset, please contact Ilya Kuselman (ilya.kuselman@bezeqint.net).
DOI: 10.6084/m9.figshare.20728444
title: Dataset1.txt

description: Listing of computed Kc splittings in HDO
DOI: 10.6084/m9.figshare.20728552
title: Dataset2.txt

description: List of experimental HDO-16 transitions recorded with the NICE-OHMS technique
DOI: 10.6084/m9.figshare.13507197.v3
title: LifehistoryDataHouseMice

description: This is the dataset for Gerber et al. 2021. Population Density and Temperature Influence the Return on MaternalInvestment in Wild House Mice. Frontiers in Ecology and Evolution.
DOI: 10.6084/m9.figshare.19694737.v4
title: Colvin_Stats_Figs_Data_and_Code

description: This data set includes data and matlab codes required to create figures and perform statistics presented in <strong>"Effects of powered versus passive-elastic ankle foot prostheses on leg muscle activity during level, uphill, and downhill walking".</strong>
DOI: 10.1594/wdcc/halo_measurements_4
title: HALO Microwave Package measurements during North Atlantic Waveguide and Downstream impact EXperiment (NAWDEX)

description: Project: HAlo Microwave Package - The Halo Microwave Package (HAMP) comprises microwave radiometers with 26 channels in the frequency range between 20 and 183 GHz and a 35 GHz cloud radar. This instrument suite was designed to be deployed on the German research aircraft HALO (High Altitude LOng range research aircraft). Synergistic analysis of measurements from these instruments allow for improved detection of hydrometeors both via the emission and scattering of radiation. HAMP measurements are and can be used for satellite validation and model evaluation studies. HAMP’s main advantages are a high vertical and temporal resolution. Vertical resolution of radar data is approximately 30 m and temporal resolution of both instruments is approximately 1 s. Research for the HAMP project was funded by the German Science Foundation (DFG), within the the priority program “High Altitude and Long Range Research Aircraft (HALO)” SPP 1294, the Max-Planck-Society, and the German Aerospace Center (DLR). Summary: NAWDEX: Measurements of microwave radiometer brightness temperatures, radar reflectivity and linear depolarisation ratio, and dropsonde atmospheric profiles from aircraft campaign over mid-latitude Atlantic out of Iceland. The campaign explored the impact of diabatic processes on disturbances of the jet stream and their influence on downstream high-impact weather through the deployment of four research aircraft. Website: http://www.pa.op.dlr.de/nawdex/
DOI: 10.23728/b2share.744bbb4e6ee84a09ad368e8d16713118
title: Data Samples for temperature forecasting by deep learning methods

description: Here we provide the data samples (one-year data) to allow the users to fast test the machine learning workflow code that is published on Zenodo (https://zenodo.org/record/6907316#.Yw9p9exBwUE), for the publication "Temperature forecasts by deep learning" by Bing Gong, Michael Langguth et al., submitted in GMD (doi: https://doi.org/10.5194/gmd-2021-430). You can untar the file by executing 'tar -xzvf '. This data were downloaded and extracted from ECMWF ERA5 dataset. The file 'climatology_t2m_1991-2020.nc' contains the 2-meter temperature climatological mean which is inferred at each grid point from the ERA5 reanalysis data between 1990 and 2019. The climatology is calculated separately for each month of the year and each hour of the day. This results in 24 hours per month, which are stored on the first day of each month.
DOI: 10.34740/kaggle/dsv/911
title: Getting Real about Fake News
DOI: 10.5281/zenodo.4244106
title: ModIs Dust AeroSol (MIDAS): A global fine resolution dust optical depth dataset

description: Monitoring and describing the spatiotemporal variability of dust aerosols is crucial to understand their multiple effects, related feedbacks and impacts within the Earth system. This study describes the development of the MIDAS (ModIs Dust AeroSol) dataset. MIDAS provides columnar daily dust optical depth (DOD) at 550 nm at global scale and fine spatial resolution (0.1° x 0.1°) over a 15-year period (2003-2017). This new dataset combines quality filtered satellite aerosol optical depth (AOD) retrievals from MODIS-Aqua at swath level (Collection 6.1, Level 2), along with DOD-to-AOD ratios provided by MERRA-2 reanalysis to derive DOD on the MODIS native grid. The uncertainties of MODIS AOD and MERRA-2 dust fraction with respect to AERONET and LIVAS, respectively, are taken into account for the estimation of the total DOD uncertainty. MERRA-2 dust fractions are in very good agreement with those of LIVAS across the “dust belt”, in the Tropical Atlantic Ocean and the Arabian Sea; the agreement degrades in North America and the Southern Hemisphere where dust sources are smaller. MIDAS, MERRA-2 and LIVAS DODs strongly agree when it comes to annual and seasonal spatial patterns, with collocated global DOD averages of 0.033, 0.031 and 0.029, respectively; however, deviations in dust loading are evident and regionally dependent. Overall, MIDAS is well correlated with AERONET-derived DODs (R=0.89), only showing a small positive bias (0.004 or 2.7%). Among the major dust areas of the planet, the highest R values (&gt; 0.9) are found at sites of N. Africa, Middle East and Asia. MIDAS expands, complements and upgrades existing observational capabilities of dust aerosols and it is suitable for dust climatological studies, model evaluation and data assimilation.
DOI: 10.5281/zenodo.5012825
title: Simple Geometric Shapes

description: Dataset containing 10000 images of a geometric shape with varying sizes and gray shades and a uniform background. The set contains 5000 images of a circle and 5000 images of a triangle. All images have the same size of 64x64. A label is provided for every image. The images are split into train and test set. The dataset is intended as a toy dataset to explore machine learning with or, in our case specifically, to try out explainable AI (XAI) methods with. The dataset was created as part of the DIANNA project. See https://github.com/dianna-ai/.
DOI: 10.5281/zenodo.5061353
title: LeafSnap30

description: LeafSnap30 is a (modified) subset of the images from the 30 species with the highest number of images from the LeafSnap dataset. LeafSnap is an electronic field guide for identifying tree species from photos of their leaves. The original dataset consists of images taken from 2 different sources as well as their segmented versions using the LeafSnap segmentation algorithm. The two sources are: high quality "lab" images of pressed leaves from the Smithsonian collection and "field" images taken by mobile devices in outdoor environments. The original "lab" images contain size and color calibration rulers, which interfere with the training of end-to-end Deep Learning (DL) models for automatic tree species classification. Therefore, we have semi-manually cropped the "lab" images of the 30 species with most number of images in order to keep only the leaves and we do not include the segmentation masks. The original "lab" leaf images are also included in the dataset, but the file paths point only to the cropped ones. The original dataset has been released in 2012 (before the DL revolution in Computer Vision) in order to promote further research in leaf recognition. The authors ask their paper to be sited (see original link above) if the dataset is used. We are releasing the cropped subset as the LeafSnap30 dataset in order to demonstrate the performance of eXplainable AI (XAI) methods applied on DL models trained to solve simple, yet realistic scientific problem.
description: This dataset will be used for demonstration purposes in the open-source Deep Insight and Neural Network Analysis (DIANNA) project, whose goal is to provide a library for explainable AI methods for scientists. DIANNA is work in progress at the time of publishing this dataset version (July 2021): https://github.com/dianna-ai/
DOI: 10.5281/zenodo.6824232
title: Dataset for for manuscript "Solar wind magnetic holes can cross the bow shock and enter the magnetosheath"

description: This data set contains event times and basic properties of magnetic holes analysed in the manuscript "Solar wind magnetic holes can cross the bow shock and enter the magnetosheath".
DOI: 10.5281/zenodo.6829895
title: Spatz neutron reflectometer commissioning data and corresponding models to fits

description: This is the data to the hot commissioning of the Spatz neutron reflectometer at the OPAL Research Reactor, ANSTO. The data also contains the Jupyter notebook to reduce the data to give complete reflectivity profile and contains the models used to fit the data within refnx using the GUI option.
DOI: 10.5281/zenodo.7374581
title: Source data for the publication "SiGe quantum wells with oscillating Ge concentrations for quantum dot qubits"

description: This repository contains data reported in the figures of the publication "SiGe quantum wells with oscillating Ge concentrations for quantum dot qubits."
DOI: 10.5281/zenodo.7407116
title: Holocene Reconstruction: Model and proxy data for running code

description: This is the model output and proxy data for running the Holocene data assimilation. The data assimilation code can be found by searching for "Holocene reconstruction code". Newer versions of the code may be found at https://github.com/Holocene-Reconstruction/Holocene-code. To read more about the Holocene data assimilation, see the paper Erb et al., 2022: "Reconstructing Holocene temperatures in time and space using paleoclimate data assimilation". Once downloaded, unzip this holocene_da_data.zip file. It contains a variety of directories. Some are empty but are present to accommodate output generated by the data assimilation code mentioned above. Directories with data are: models/original_model_data/TraCE_21ka/: TraCE-21ka temperature output from: https://www.earthsystemgrid.org/project/trace.html models/original_model_data/HadCM3_transient21k/: HadCM3 temperature output (the spatially smoothed version, signified by "_s" at the end of the filename) proxies/temp12k/ - Temperature 12k proxy records from: https://lipdverse.org/
DOI: 10.6084/m9.figshare.17430749
title: A data set of global river networks and corresponding water resources zones divisions V2.0

description: The data set provides global river networks and corresponding water resources zones at three arc-seconds resolution and seven level. It provides river networks with good accuracy and precision and water resource zones with clearer topological relationships to ensure the efficiency of hydrological simulation and the accuracy of water resources evaluation. <br> 'A data set of global river networks and corresponding water resources zones divisions V2.0'
DOI: 10.6084/m9.figshare.21723767
title: Supplementary Material for: Pitfall in the Surgical Management of a Shrunken Skin Defect after Neoadjuvant Chemotherapy for Locally Advanced Breast Cancer

description: A 53-year-old woman with a large, easy-bleeding, and ulcerated breast tumor visited our hospital due to severe anemia. Transfusion and Mohs’ chemosurgery gave the patient marked improvement of her local and general condition. After confirming the human epidermal growth factor receptor type 2 (HER2)-positive breast cancer with no distant metastasis, anti-HER2 agents-containing chemotherapy brought about clinical complete response of the locally advanced breast cancer with a shrunken but still large skin defect. We, therefore, treated the patient with mastectomy and axillary node dissection but failed to directly close the skin even after full skin undermining. We then tried to cover the skin defect using a latissimus dorsi flap, that is, horizontal spindle skin 12 × 6 cm in size, but again failed to fully cover the skin defect. We finally and ostensibly covered the skin defect through an additional skin incision to the recipient skin, but could not get complete wound healing. Pathological study showed a marked collagen fiber around the skin defect and faint viable cancer cells beneath the nipple. The patient required 3 months of wound management for complete wound healing, leading to the application of anti-HER2 agents without anticancer agent to the patient during that time as an adjuvant therapy. Regrowth of her hair once lost by the neoadjuvant chemotherapy (NAC) made the patient refuse the adjuvant anthracycline-containing chemotherapy after wound healing. The patient, therefore, received trastuzumab-emtansine for a year and has been well for 17 months postoperatively. Breast surgeons should note that a skin defect after favorable response to NAC is often surrounded by less stretchable skin due to chemotherapy-induced massive collagen fiber and requires careful preoperative planning for skin closure.
DOI: 10.6084/m9.figshare.21731249
title: Supplementary Material for: Transcranial MR-Guided Focused Ultrasound and Hyperostosis Calvariae Diffusa: Case Report and Systematic Review of the Literature

description: We describe a 74-year-old male with intractable essential tremor (ET) and hyperostosis calvariae diffusa who was unsuccessfully treated with magnetic resonance-guided focused ultrasound (MRgFUS). A computed tomography performed prior to the procedure demonstrated a skull density ratio (SDR) of 0.37 and tricortical hyperostosis calvariae diffusa. No lesion was evident on post-MRgFUS MRI, and no improvement in the patient’s hand tremor was noted clinically. We systematically reviewed the literature to understand outcomes for those patients with hyperostosis who have undergone MRgFUS. A comprehensive literature search using the PubMed, Cochrane, and Google Scholar databases identified 3 ET patients with hyperostosis who failed treatment with MRgFUS. Clinical findings, skull characteristics, treatment parameters, and outcomes were summarized, demonstrating different patterns/degrees of bicortical hyperostosis and variable SDRs (i.e., from 0.38 to ≥0.45). Although we have successfully treated patients with bicortical hyperostosis frontalis interna (<i>n</i> = 50), tricortical hyperostosis calvariae diffusa appears to be a contraindication for MRgFUS despite acceptable SDRs.
DOI: 10.6084/m9.figshare.21732302
title: Supplementary Material for: Assessing Patient’s Values When Selecting Treatments for Alopecia Areata: A Cross-Sectional Survey Study

description: <b><i>Introduction:</i></b> Alopecia areata (AA) is an autoimmune condition that results in nonscarring hair loss. There is currently only one Food and Drug Administration (FDA)-approved treatment for AA; as a result, a wide range of treatments are commonly administered. This study aimed to determine how patients with AA prioritize treatment characteristics when choosing a therapy. <b><i>Methods:</i></b> A cross-sectional national survey was distributed using the National Alopecia Areata Foundation’s (NAAF) email list. This study was approved by the Mass General Brigham Institutional Review Board. Participants were asked to rank the importance of five treatment domains. <b><i>Results:</i></b> Of the 1,074 completed surveys (completion rate 77.4%), most respondents were female (85.4%) and white (77.8%) with an average age of 49.3 ± 15.4 years. Respondents had AA for an average of 17.7 ± 15.4 years, with 90.0% experiencing current active hair loss. 95.6% of respondents considered the treatment’s ability to achieve hair regrowth as important, 93.9% listed the availability of information about the treatment (e.g., via doctor or online) as important, 89.1% ranked the treatment side effects as important, 75.7% the cost, and 68.0% the convenience of use. A sub-analysis was performed examining responses between respondents who identify as white versus nonwhite, which showed that while the order of importance was the same between groups, a significantly larger proportion of nonwhite respondents attributed higher importance to cost (white: 73.8%, nonwhite: 82.4%; <i>p</i> = 0.006) and convenience (white: 65.3%, nonwhite: 77.3%; <i>p</i> &lt; 0.001) than their white counterparts. <b><i>Discussion/Conclusion:</i></b> These findings identify key domains that can serve as a starting point in shared decision-making between patients and physicians. This knowledge can streamline dermatologist delivery of key information and highlight areas of improvement for future therapeutics. Limitations include the nonrandomized NAAF population with most participants being white females. Future studies should confirm these findings in other patient populations.
DOI: 10.6084/m9.figshare.21732476
title: Supplementary Material for: Decannulation/Weaning Potential and Success in Home Intensive Care

description: <b><i>Background:</i></b> The number of patients receiving home long-term ventilation has risen considerably in recent decades owing to medical advancements. Experts believe that the potential for ventilator weaning or tracheostoma removal is currently insufficiently exploited. <b><i>Objective:</i></b> The objective of this study was to investigate the characteristics, prognosis, and decannulation/weaning potential of patients under home intensive care. <b><i>Methods:</i></b> In this retrospective analysis of 607 patients on home intensive care, decannulation/weaning status and survival were documented for a 2-year period after initial assessment. At the time of hospital discharge, when clinicians had deemed the weaning process concluded, an independent expert noninvasively assessed the long-term decannulation/weaning. Comparative analyses based on specific criteria, such as ventilation and decannulation/weaning status, age, and underlying diseases, were performed. Potential predictors of survival were identified via multivariable logistic regression. <b><i>Results:</i></b> Eighteen percent of patients were decannulated/weaned within 2 years after hospital discharge and had better mean survival than patients not decannulated/weaned (552 vs. 420 days, <i>p</i> &lt; 0.001). More than half of these patients were identified to have decannulation/weaning potential based on the assessment of the independent expert. Patients with neuromuscular and neurological diseases had the best survival (546 and 501 days), patients with postsurgical conditions and cardiological diseases the worst (346 and 323 days). Underlying disease and decannulation/weaning status were significant predictors of 2-year survival. <b><i>Conclusion:</i></b> Successful decannulation/weaning of patients on long-term home intensive care is associated with better survival. Even in the absence of decannulation/weaning potential at the time of hospital discharge, patients may develop decannulation/weaning potential over time, which should therefore be assessed repeatedly.
DOI: 10.5281/zenodo.6426332
title: Holocene temperature reconstruction using paleoclimate data assimilation

description: A reconstruction of Holocene temperature made using paleoclimate data assimilation. Spatial and mean quantities are presented, as well as information about the experimental design and proxies. The code used to make this reconstruction is available at https://github.com/Holocene-Reconstruction/Holocene-code.
DOI: 10.5281/zenodo.7011322
title: Data and code for Freshwater corridors in the conterminous US: a coarse-filter approach based on lake-stream networks

description: This repository contains various datasets used to map and analyze freshwater connectivity (i.e., corridors) in the conterminous US based on networks of lakes, streams and rivers. We considered lake-stream networks as analogous to habitat corridors. Hub lakes are individual lakes that are disproportionately important for maintaining intact networks. We also analyzed the protection status of freshwater connectivity using the US Protected Areas Database v. 2.0. R analysis scripts can also be found in this repository. Much of the data we used came from published or soon-to-be published sources, which are referenced below.
DOI: 10.6084/m9.figshare.21731555
title: Supplementary Material for: Effect of Low-Density Lipoprotein Apheresis on Quality of Life in Patients with Diabetes, Proteinuria, and Hypercholesterolemia

description: <b><i>Introduction:</i></b> Treating diabetic nephropathy with low-density lipoprotein (LDL) apheresis reduces proteinuria and improves prognosis. However, its impact on patients’ quality of life (QoL) is unclear. This study evaluated the effect of LDL apheresis on QoL in patients with diabetes, proteinuria, and hypercholesterolemia. <b><i>Methods:</i></b> In this nationwide multicenter prospective study, we enrolled 40 patients with diabetes. Inclusion criteria were proteinuria (defined as an albumin/creatinine ratio ≥3 g/g), serum creatinine levels &lt;2 mg/dL, and serum LDL ≥120 mg/dL despite drug treatment. LDL apheresis was performed 6–12 times within 12 weeks. The 36-item Short Form Health Survey (SF-36) was used to analyze QoL. <b><i>Results:</i></b> The study enrolled 35 patients (27 men and 8 women; mean age 58.9 ± 11.9 years). A comparison of baseline SF-36 values with those at the end of the course of apheresis found an improvement in the mean physical component summary (37.9 ± 11.4 vs. 40.6 ± 10.5, <i>p</i> = 0.051) and a significant increase in the mean mental component summary (MCS) (49.4 ± 8.4 vs. 52.5 ± 10.9, <i>p</i> = 0.026). A multivariable linear regression analysis revealed a history of coronary heart disease negatively correlated with the MCS increase at the end of the course of apheresis (<i>β</i> coefficient −6.935, 95% confidence interval, 13.313 to−0.556, <i>p</i> = 0.034). <b><i>Conclusion:</i></b> Our results suggest that LDL apheresis may improve the mental and physical QoL in patients with diabetes, proteinuria, and hypercholesterolemia.
DOI: 10.13011/m3-hvkb-rm86
title: Coupling thermomechanical processing and alloy design to explore the development of non-basal textures in recrystallized Mg-Zn-Ca sheet alloys