cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5my9x93ttc.1
title: Effect of lysis intermixing on the predicted maturation order

description: Supplementary analyzed data from Manuscript: TITLE: Maturation kinetics of a multiprotein complex revealed by metabolic labeling. JOURNAL: CELL. Article Type: Research Article Authors: Evgeny Onischenko*, Elad Noor*, Jonas S. Fischer*, Ludovic Gillet, Matthias Wojtynek, Pascal Vallotton, Karsten Weis *Equally Contributing Authors Corresponding Authors: Evgeny Onischenko and Karsten Weis Related to Figure S5 Possible maturation orders in NPC biogenesis, are represented by a binary trees whose leaves are the 9 identified NUP assembly groups. The leafs are allowed to gradually merge representing the co-assembly events among NUPs until they form a complete NPC (tree root). Each leaf and each vertex (i.e. a mature complex of several such leaves) in the tree is assigned a single variable which represents its relative pool size. For every possible tree configuration this set of variables is optimised to match the effective maturation pool data from the KSM fitting. RMSE (Root Mean Squared Error) between the computed maturation pools from the binary tree and the ones estimated by KSM is used as the tree score. Maturation orders were assayed with the raw prey labeling values (Top trees (raw labeling values)) and with the values corrected for protein intermixing at the AP step (Top trees (intermixing-corrected labeling values)).
DOI: 10.17632/6hd9ybsjn4.2
title: Source data of “Disproportionated pure metallic iron particles in a Eucrite meteorite: Evidence for space weathering on Vesta”

description: The source data of EELS and Appendix of Tables and Figures for this paper
DOI: 10.17632/wwmvnkm46h.1
title: Collaborative Consistent Vehicle Routing Problem with Workload Balance (Instances))

description: Instances for the Collaborative Consistent Vehicle Routing Problem with Workload Balance
DOI: 10.17632/645vwpr8g7.1
title: Data for: Numerical optimization of a multiphysics calculation scheme based on partial convergence

description: -FixedPointPerformances and fxdpnt_perf are respectively the text and the pickle format (Python) of the performance of fixed-point iteration schemes with different partial convergence settings and different relaxation factors. -Files of the type keff-*-100-40 are the results of the power iteration process for different relaxation factors for one partial convergence setting (limits: 100 neutronic iterations and 40 thermal-hydraulic iterations). They aim at showing the bifurcations that may appear consequently to small perturbation of the relaxation factor.
DOI: 10.17632/gyckst6rx8.1
title: Co-Occurrence Across Time and Space of Drug- and Cannabinoid- Exposure and Adverse Mental Health Outcomes in the National Survey of Drug Use and Health Dataset 2: Combined Ecological Geotemporospatial and Causal Inference Analysis

description: Background: Whilst many studies have linked increased drug and cannabis exposure to adverse mental health (MH) outcomes their effects on whole populations and geotemporospatial relationships are not well understood. Objectives: Determine: (1) if cannabis use is associated with major MH outcomes ascross space and time, (2) if such impacts are robust to multivariable adjustment and (3) if the relationship is causal. Methods. Ecological cohort study of National Survey of Drug Use and Health (NSDUH) geographically-linked substate-shapefiles 2010-2012 and 2014-2016 supplemented by five-year US American Community Survey. Drugs: cigarettes, alcohol abuse, last-month cannabis use and last-year cocaine use. MH: any mental illness, major depressive illness, serious mental illness and suicidal thinking. Data analysis: two-stage, geotemporospatial, robust generalized linear regression and causal inference methods in R. Results: 410,138 NSDUH respondents. Average response rate 76.7%. When all drug exposure, ethnicity and income variables were combined in final geospatiotemporal models tobacco, alcohol cannabis exposure, and various ethnicities were significantly related to all four major mental health outcomes. Cannabis exposure alone was related to any mental illness (β-estimate= -3.315 (95%C.I. -4.04, -2.58, P&lt;2.2x10-16), major depressive episode (β-estimate= -3.71 (-4.6, -2.82), P=3.0x10-16), serious mental illness (SMI, β-estimate= -3.063 (-4.05, -2.05), P=1.2x10-9), suicidal ideation (β-estimate= -3.01 (-3.87, -2.16), P=4.8x10-12) and with more significant interactions in each case (from β-estimate= 1.84 (1.30, 2.39), P=3.0x10-11). Geospatial modelling showed a monotonic upward trajectory of SMI which doubled (3.62% to 7.06%) as cannabis use increased. Extrapolated to whole populations cannabis decriminalization (4.26%, (4.18, 4.34%)), Prevalence Ratio (PR)=1.035(1.034-1.036), attributable fraction in the exposed (AFE)=3.28%(3.18-3.37%), P&lt;10-300) and legalization (4.75% (4.65, 4.84%), PR=1.155 (1.153-1.158), AFE=12.91% (12.72-13.10%), P&lt;10-300) were associated with increased SMI vs. illegal status (4.26+0.04%). Conclusions: Data show all four indices of mental ill-health track cannabis exposure across space and time and are robust to multivariable adjustment for ethnicity, socioeconomics and other drug use. MH deteriorated with cannabis legalization. Cannabis use-MH data are consistent with causal relationships in the forward direction and include dose-response relationships. Together with similar international reports and numerous mechanistic studies preventative action to reduce cannabis use is indicated.
DOI: 10.17632/4kcs25tjyh.1
title: Albite dissolution in high salinity brines: Implications for late-stage weathering on Mars
DOI: 10.17632/bsfrrzy3rp.1
title: LINF_010009900

description: beta eliminating lyase
DOI: 10.17632/f6ckb2vx6n.1
title: Transcriptome data of study on the interaction of phospholipid imbalance and ER imbalance
DOI: 10.17632/fd6gvzrf3g.1
title: Raw data-Helper-dependent adenovirus-mediated gene transfer of a secreted LDL receptor/transferrin chimeric protein reduces aortic atherosclerosis in LDL receptor-deficient mice

description: Research data
DOI: 10.17632/7dt5nzxgbs.1
title: CCS: A software framework to generate two-body potentials using Curvature Constrained Splines

description: We have developed an automated and efficient scheme for the fitting of data using Curvature Constrained Splines (CCS), to construct accurate two-body potentials. The approach enabled the construction of an oscillation-free, yet flexible, potential. We show that the optimization problem is convex and that it can be reduced to a standard Quadratic Programming (QP) problem. The improvements are demonstrated by the development of a two-body potential for Ne from ab initio data. We also outline possible extensions to the method.
DOI: 10.17632/hykfngryv9.2
title: 2020WR028983

description: The file folder (Fig5) is the observed and the simulated water levels of Tangyin, Xinzi and Duchang stations from 2010 to 2011. The file folder (Fig6) is the raster of landscape from the remote sensing and the simulated results of landscape type by using the MCE–CA–Markov model. The file folder (Fig7) is the spatial distribution raster of water body distance and landscape type with and without sluice. The file folder (Fig8) is the distribution raster of the habitat suitability for Grus leucogeranus without and with sluice operation in Rules 1 and 2.
DOI: 10.17632/md22xmgxgw.2
title: Air Quality Data in Benowo, Surabaya, Indonesia

description: This data set contains the results of measurements of air quality parameters in Benowo, Surabaya, Indonesia (-7.2503661,112.6298347). Measurements were carried out from 12/24/2019 to 5/7/2020 using Airvisual Pro. There were more than 13000 data with parameters of AQI US, AQI CN, PM2.5 (ug / m3), PM10 (ug / m3), CO2 (ppm), Temperature (Celsius), Temperature (Fahrenheit), and Humidity (%).
DOI: 10.17632/fs7bmf665v.2
title: Web accessibility data of Chilean universities

description: The objective of this paper is to show the data obtained from an analysis of higher education institutions in Chile.
DOI: 10.17632/wh388h8dvh.1
title: Long-term health effects of antipyretic drug use in the ageing population, a systematic review

description: PrismaP checklist and search strategy
DOI: 10.17632/d9zc7knxdz.3
title: Sharing Economy Logistics

description: Locations, trips, travel times, and travel distances for the simulation of an integrated item-sharing and crowdshipping platform in Atlanta, Georgia, US. Further information is provided in Description_of_files.html.
DOI: 10.17632/hr9tjzj72v.2
title: Predicting Tie Strength with Ego Network Structures

description: This repository contains 41 anonymized Facebook ego networks used in Stolz and Schlereth "Predicting Tie Strength with Ego Network Structures" in Journal of Interactive Marketing (forthcoming). The Facebook ego network data was extracted in combination with a survey. The survey asked users about who they perceived as their closest friends, and who they had recently interacted with on the platform. Furthermore, the data contains a binary matching based on Facebook attributes of ego and alter to assess the similarity of users. These dyad-level binary attributes are stored as csv file. All 41 ego networks are stored as graphml files, named by the identifier of the user (i.e., ego) they belong to. Additionally, the first author's "seed" network is saved separately (without attributes), intended for replication of the sampled perspective. For anonymization, all Facebook identifiers were replaced by independent numeric identifiers.
DOI: 10.17632/8b3fvc3h3f.1
title: Quantification of different iron forms in the aceruloplasminemia brain to explore iron-related neurodegeneration

description: Aceruloplasminemia is an ultra-rare neurodegenerative disorder associated with massive brain iron accumulation. It is unknown which molecular forms of iron accumulate in the brain of patients with aceruloplasminemia. As the disease is associated with at least a fivefold increase in brain iron concentration compared to the healthy brain, it offers a unique model to study the role of iron in neurodegeneration and the molecular basis of iron-sensitive MRI contrast. The iron-sensitive MRI metrics inhomogeneous transverse relaxation rate (R2*) and magnetic susceptibility obtained at 7T were combined with Electron Paramagnetic Resonance (EPR) and Superconducting Quantum Interference Device (SQUID) magnetometry to specify and quantify the different iron forms per gram wet-weight in a post-mortem aceruloplasminemia brain, with focus on the basal ganglia, thalamus, red nucleus, dentate nucleus, superior- and middle temporal gyrus and white matter. MRI, EPR and SQUID results that had been previously obtained from the temporal cortex of healthy controls were included for comparison. The brain iron pool in aceruloplasminemia consisted of EPR-detectable Fe3+ ions, magnetic Fe3+ embedded in the core of ferritin and hemosiderin (ferrihydrite-iron), and magnetic Fe3+ embedded in oxidized magnetite/maghemite minerals (maghemite-iron). Of all the studied iron pools, above 90% was made of ferrihydrite-iron, of which concentrations up to 1065 µg/g were detected in the red nucleus. Although deep gray matter structures in the aceruloplasminemia brain were three times richer in ferrihydrite-iron than the temporal cortex, ferrihydrite-iron in the temporal cortex of the patient with aceruloplasminemia was already six times more abundant compared to the healthy situation (162 µg/g vs. 27 µg/g). The concentration of Fe3+ ions and maghemite-iron were 1.7 times higher in the temporal cortex in aceruloplasminemia than in the control subjects. Of the two quantitative MRI metrics, R2* was the most illustrative of the pattern of iron accumulation and returned relaxation rates up to 0.49 ms-1, which were primarily driven by the abundance of ferrihydrite-iron. Maghemite-iron did not follow the spatial distribution of ferrihydrite-iron and did not significantly contribute to MRI contrast in most of the studied regions. Even in extremely iron-loaded cases, iron-related neurodegeneration remains primarily associated with an increase in ferrihydrite-iron, with ferrihydrite-iron being the major determinant of iron-sensitive MRI contrast
DOI: 10.17632/8sv4j2r9wk.1
title: The inner-city inhabitants and foreigners' contribution commitment to improving air pollution: Dataset from a field survey in Hanoi

description: Science-based desirable solutions for mitigating and or reducing environmental pollution are of important priorities for many developed and developing countries. In this dataset, we concentrate on studying contribution commitments and factors influencing interviewees' willingness-to-pay to reduce air pollution by using a contingent valuation method. We employed a stratified random sampling technique with a face-to-face approach to survey 199 inhabitants and 75 foreigners who reside and travel within the inner-city of Hanoi, the capital of Vietnam. The dataset comprises four major groups of information including (1) perception of air pollution and its impacts, (2) preventive measures used to mitigate polluted air, (3) commitments on willingness-to-pay (WTP) for reducing air pollution alongside reasons for the yes-or-no-WTP decisions, and (4) demographic information of interviewees. Please refer to the Data and Questionnaire files for details.
DOI: 10.17632/yx8wj84bd2.1
title: Supplementary material for article "Climate change will cause non-analogue vegetation states in Africa and commit vegetation to long-term change"

description: This archive contains time series maps (videos) that show decadal maps of simulated biome distribution in Africa between 1970 and 2099, relationship between same decade pairing of transient and equilibrium scenarios, relationship between closest decade pairing of transient and equilibrium scenarios, and maps of single state variables. Simulations were conducted using the aDGVM (Scheiter & Higgins (2009), GCB, doi: 10.1111/j.1365-2486.2008.01838.x). It also contains the decadally averaged aDGVM model output data analyzed in the study, as well as the scripts used to conduct data analysis and to create the Figures shown in the manuscript and its supplementary material. Abstract: Vegetation responses to changes in environmental drivers can be subject to temporal lags. This implies that vegetation is committed to future changes once environmental drivers stabilize. Understanding the trajectories of such committed changes is important as they affect future carbon storage, vegetation structure and community composition and therefore need consideration in conservation management. In this study, we investigate whether transient vegetation states can be represented by a time-shifted trajectory of equilibrium vegetation states, or if they are vegetation states without analogue in conceivable equilibrium states. We use a dynamic vegetation model, the aDGVM, to assess deviations between simulated transient and equilibrium vegetation states in Africa between 1970 and 2099 for the RCP4.5 and 8.5 scenarios. Euclidean distance between simulated transient and equilibrium vegetation states based on selected state variables was used to determine lag times and similarity of vegetation states. We found that transient vegetation states over time increasingly deviated from equilibrium states in both RCP scenarios, but that deviation was more pronounced in RCP8.5 during the second half of the 21st century. Trajectories of transient vegetation change did not follow a "virtual trajectory'' of equilibrium states, but represented non-analogue composite states resulting from multiple lags with respect to vegetation processes and composition. Lag times between transient and most similar equilibrium vegetation states increased over time and were most pronounced in savanna and woodland areas, where disequilibrium in savanna tree cover frequently acted as main driver for dissimilarities. Fire additionally enhanced lag times and Euclidean distance between transient and equilibrium vegetation states due to its restraining effect on vegetation succession. Long lag times can be indicative of high rates of change in environmental drivers, of meta-stability and non-analogue vegetation states, and of augmented risk for future tipping points. For long-term planning, conservation managers should therefore strongly focus on areas where such long lag times and high residual Euclidean distance between most similar transient and equilibrium vegetation states have been simulated.
DOI: 10.17632/dz62s4p7mj.1
title: Covidtestasymptomaticpregnant

description: test results in asymptomatic pregnant women
DOI: 10.17632/r8kmp2tkv9.1
title: A Novel PLOD1 Gene Mutation causing Kyphoscoliotic Ehlers-Danlos Syndrome in Chinese patient

description: Kyphoscoliotic Ehlers-Danlos syndrome (kEDS) is a rare autosomal recessive connective tissue disorder characterized by progressive kyphoscoliosis, congenital muscular hypotonia, marked joint hypermobility, and severe skin hyperextensibility and fragility. Deficiency of lysyl hydroxylase 1 (LH1) due to mutations of PLOD1 (procollagen-lysine, 2-oxoglutarate 5-dioxygenase 1) gene has been identified as the pathogenic cause of kEDS (kEDS-PLOD1). Up to now, kEDS-PLOD1 has not been reported among Chinese population. We reported a 17-year-old Chinese male patient presenting with hypotonia, joint hypermobility and scoliosis was referred to our hospital. After birth, he was found to have severe hypotonia leading to delayed motor development. Subsequently, joint hypermobility, kyphoscoliosis and amblyopia were found. Inguinal hernia was found at age 5 years and closed by surgery. At the same time, he presented with hyperextensible and bruisable velvety skin with widened atrophic scarring after minor trauma. Dislocation of elbow joint was noted at age of 6 years. Orthopedic surgery for correction of kyphoscoliosis was performed at age 10 years. His family history was unremarkable. Physical examination revealed elevated blood pressure. Slight facial dysmorphologies including high palate, epicanthal folds, and down-slanting palpebral fissures were found. He also had blue sclerae with normal hearing. X-rays revealed severe degree of scoliosis and osteopenia. The Echocardiography findings were normal. Laboratory examination revealed a slightly elevated bone turnover. Based on the clinical manifestations presented by our patient, kEDS was suspected. Genetic analysis revealed a novel homozygous missense mutation of PLOD1 (c.1697 G&gt;A, p.C566Y) (NM_000302.4), confirming the diagnosis of kEDS-PLOD1. Corresponding heterozygous mutation was detected in his parents. This variant is possibly causative for kEDS because it was predicted to be “PROBABLY DAMAGING” with a score 0.999 by Polyphen‐2, “AFFECT PROTEIN FUNCTION” with a score 0.00 by SIFT, and “disease causing” by Mutation Taster.
DOI: 10.17632/232ppkhn2c.1
title: Data in Brief for Xu et al.' Establishment of a stable complex formed from whey protein isolate and chitosan and its stability under environmental stresses'

description: In Xu et al. we investigated the stability of a complex formed with whey protein isolate (WPI) and chitosan under environmental stress, by measuring the optical density, particle size, zeta potential, chemical characteristics, electrostatic interactions, and surface morphology. We found the optimum conditions for the generation of the stable complex were 0.2% (wt/wt) WPI with 0.05% (wt/wt) chitosan at pH 5.7. The complex displayed stable physiochemical characteristics under environmental stresses including NaCl (0–75 mM) or sugar (0–5%) at ambient temperature and upon heating for 15 min at 25–65 °C, up to 65 °C for 30 min. Moreover, the complex could be stably stored for 30 d at 4 °C and for 20 d at 25 °C.
DOI: 10.17632/fdzhc3wywr.1
title: Digital Terrain Models of Europa from Galileo stereo images

description: Digital Terrain Models (DTMs) of Europa in Geotiff format. The stereo DTMs cover 7 regions of Europa based on Galileo images. Two regions (Conamara Chaos and Yelland) are covered with two different resolutions. For a description of the methodology see Giese et al. 1999. The geological regions are described in Steinbruegge et al. 2020. Please also see Steinbruegge et al. 2020, Table 1 for a list of orthoimages used as stereo-pairs and for the resolution of the individual images and DTMs. References: B. Giese, R. Wagner, G. Neukum., J.M. Moore. The local topography of Europa’s crater Cilix derived from Galileo SSI stereo images. Lunar and Planetary Science Conference 1999;30. G. Steinbrügge, J. R.C. Voigt, D. M. Schroeder, A. Stark, M. S. Haynes, K. M. Scanlan, C. W. Hamilton, D. A. Young, H. Hussmann, C. Grima, D. D. Blankenship. The surface roughness of Europa derived from Galileo stereo images. Icarus 2020. doi:10.1016/j.icarus.2020.113669
DOI: 10.17632/9x47wzy8x7.1
title: A study of "Genome-wide CRISPR screens reveal host factors critical for SARS-CoV-2 infection" by Wei et al. Cell 2020
DOI: 10.17632/dcj3yvzybr.6
title: Global horizontal irradiance forecasting code and data

description: There are four main folders in the project: code, data, models and logdir. Data This folder contains all the data used from the studied location: Loc.1 (latitude=40.4º, longitude=6.0º). Sorted by year, month and day, there are three kinds of data: • The files named as just a number are 151x151 irradiance estimates matrices centered in the same location obtained from http://msgcpp.knmi.nl. The spatial resolution is 0.03º for both latitude and longitude. • The files named Real_ are the irradiance measurements at the location • The files named CopernicusClear_ are the clear sky estimates from the CAMS McClear model Each file contains the 96 15-minute samples for the same day in Matlab format and UTC time. Code All the python scripts used to train the neural networks and perform the forecasts. The main files are: • tf1.yml: List of the modules and versions used. A clean Anaconda environment created from this file can run all the code in the project. • learnRadiation.py: The script to train a new model. Changing the “paper_model_name” variable selects the kind of model to fit. • predictOnly.py: Loads a trained model and performs the forecast. Notice that the model must match the one used to train the model stored in the “training_path” folder Models This folder contains all the trained models and their forecasting results. There is also a training folder to contain the last trained model. Logdir This folder stores Tensorboard files during training How to train and test a model A new model can be trained using “learnRadiation.py”. This script has two parameters • paper_model_name: This sets the inputs to match the ones used in the models from the article. • training_path: The folder to save the trained model Then the “predictOnly.py” script allows performing the forecasts. It is important to set the same parameters as in the “learnRadiation.py” script. This program will generate the predictions and save them in the model folder. It also plots some days, which can be modified at the bottom of the script. For instance, in order to train the TOA & all real model we would run: "python learnRadiation.py TOAallreal training" This will train the neural network and save the results in the folder models/training. After this, we would generate the results and plot some days using: “python predictOnly.py TOAallreal training” This will save the forecasts and real values in the training folder and show figures with 1 to 6 hour forecasts The models used for the article can also be evaluated by using predictOnly.py and targeting their folders. For instance, to evaluate the TOA & all real model used in the article, this command must be used: “python predictOnly.py TOAallreal RtoaAllReal”
DOI: 10.17632/pbptycnx6y.1
title: LINF_010009300

description: ribosomal protein S7