cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2020-09.2049353/2019414
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049251/2019415
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049647/2019416
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049883/2019417
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2048525/2019418
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049780/2019419
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2048496/2019420
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2050197/2019421
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2048754/2019422
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049877/2019423
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049448/2019424
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2048596/2019425
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049193/2019426
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049288/2019427
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049306/2019428
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2048738/2019429
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049224/2019430
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049221/2019431
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049691/2019432
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049212/2019433
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049439/2019434
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049484/2019435
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049483/2019436
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049840/2019437
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2048741/2019438
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049709/2019439
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2050465/2019440
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049591/2019441
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049701/2019442
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049216/2019443
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049313/2019444
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049936/2019445
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2048415/2019446
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2048664/2019447
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049603/2019448
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049894/2019449
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2048755/2019450
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2048420/2019451
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2048782/2019452
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2048810/2019453
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049381/2019454
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2048692/2019455
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049482/2019456
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2048802/2019457
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049753/2019458
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049880/2019459
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049205/2019460
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049259/2019461
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049396/2019462
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049592/2019463
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049644/2019464
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2048498/2019465
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049319/2019466
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049837/2019467
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-07.2024351/2019468
title: Data for EMSL Project 51126 from July 2020
DOI: 10.25582/data.2020-09.2048438/2019469
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049455/2019470
title: Data for EMSL Project 51126 from September 2020
DOI: 10.34740/kaggle/dsv/6691793
title: Golf Play Dataset with Extended Features
DOI: 10.25582/data.2020-09.2049560/2019471
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2048654/2019472
title: Data for EMSL Project 51126 from September 2020
DOI: 10.17188/1193604
title: Materials Data on MgV2O4 by Materials Project

description: MgV2O4 is Spinel structured and crystallizes in the triclinic P-1 space group. The structure is three-dimensional. Mg2+ is bonded to four O2- atoms to form MgO4 tetrahedra that share corners with twelve VO6 octahedra. The corner-sharing octahedra tilt angles range from 58–59°. There are three shorter (2.00 Å) and one longer (2.01 Å) Mg–O bond lengths. There are four inequivalent V3+ sites. In the first V3+ site, V3+ is bonded to six O2- atoms to form VO6 octahedra that share corners with six equivalent MgO4 tetrahedra and edges with six VO6 octahedra. There are four shorter (2.06 Å) and two longer (2.07 Å) V–O bond lengths. In the second V3+ site, V3+ is bonded to six O2- atoms to form VO6 octahedra that share corners with six equivalent MgO4 tetrahedra and edges with six VO6 octahedra. There are a spread of V–O bond distances ranging from 2.05–2.07 Å. In the third V3+ site, V3+ is bonded to six O2- atoms to form VO6 octahedra that share corners with six equivalent MgO4 tetrahedra and edges with six VO6 octahedra. There are four shorter (2.06 Å) and two longer (2.07 Å) V–O bond lengths. In the fourth V3+ site, V3+ is bonded to six O2- atoms to form VO6 octahedra that share corners with six equivalent MgO4 tetrahedra and edges with six VO6 octahedra. There are four shorter (2.06 Å) and two longer (2.07 Å) V–O bond lengths. There are four inequivalent O2- sites. In the first O2- site, O2- is bonded to one Mg2+ and three V3+ atoms to form a mixture of distorted edge and corner-sharing OMgV3 trigonal pyramids. In the second O2- site, O2- is bonded to one Mg2+ and three V3+ atoms to form a mixture of distorted edge and corner-sharing OMgV3 trigonal pyramids. In the third O2- site, O2- is bonded to one Mg2+ and three V3+ atoms to form a mixture of distorted edge and corner-sharing OMgV3 trigonal pyramids. In the fourth O2- site, O2- is bonded to one Mg2+ and three V3+ atoms to form a mixture of distorted edge and corner-sharing OMgV3 trigonal pyramids.
DOI: 10.4225/08/5721bb609edb0
title: Silicon Quantum Dot Data Set

description: Results of density functional tight binding (DFTB) simulations for a series of fully relaxed silicon quantum dots, enclosed by different combinations of (100), (110), (111)  and (113) surface facets.  The surfaces are hydrogen terminated, and fully reconstructed.  The structures range in size from 29 to 2922 silicon atoms, and results are provided for the geometric shape, the diameter (in nanometers), the total energy, the change in free energy (with respect to bulk silicon, and hydrogen gas), the electronic band gap (in electron volts, and in wavelengths), and the fractional area of each (hkl) facet type.
DOI: 10.48786/inoc.2022.13
title: Max-Min Optimization of Controller Placements vs. Min-Max Optimization of Attacks on Nodes in Service Networks
DOI: 10.5285/2d0f8bb3927b4f75ae75276705858f68
title: Invisible Tracks: Collocation of wind-advected ship locations and shipping emissions with data from the MODIS cloud product

description: This dataset contains data from the MODIS (Moderate Resolution Imaging Spectroradiometer) cloud product, collocated to wind-advected ship locations and shipping emissions. Most importantly, it includes effective droplet radii, calculated droplet number concentration, liquid water path, and cloud optical depth for locations where clouds have been polluted by shipping and to either side of a ship trajectory. Cloud data in the trajectory is labelled with the variable name only, data on either side additionally with [property]_1 and [property]_3 for the western and eastern side, respectively. The data is ungridded and comes in the form of csv files. It covers the period of 2014-2019. The dataset is the product of three data sources: AIS data giving ship locations, ERA5 winds used to advect the emissions up to the time of the Aqua and Terra overpasses, as well as the level-2 cloud product MOD06. This data was collected for the study of shipping aerosols' effect on marine liquid clouds, in particular when the emissions do not produce a satellite-visible ship track, which could be hand-logged.
DOI: 10.6084/m9.figshare.22249222
title: Supplementary Material for: Translation and validation of the Self-Assessment Psoriasis Area Severity Index (SAPASI)

description: Background: The Self-Assessment Psoriasis Area Severity Index (SAPASI) is a patient-administered psoriasis assessment tool for which we present a validated translation from English to Swedish. Methods: Validity was evaluated in this single-centre study using the Psoriasis Area Severity Index (PASI) as the standard. Test-retest reliability was assessed using repeated SAPASI measurements. Results: Significant correlations (P&lt;0.0001) using Spearman’s correlation coefficient (r) were found between PASI and SAPASI scores (r=0.60) for 51 participants (median baseline PASI 4.4, interquartile range [IQR] 1.8–5.6) and repeated SAPASI measurements (r=0.70) among 38 participants (median baseline SAPASI 4.0, IQR 2.5–6.1). Bland-Altman plots showed generally higher SAPASI scores than PASI scores. Conclusion: The translated version of SAPASI is valid and reliable, although patients generally tend to overrate their disease severity compared to PASI. Keeping this limitation in mind, SAPASI has the potential of being implemented as a time- and cost-efficient assessment tool in a Scandinavian context.
DOI: 10.6084/m9.figshare.24100977
title: Supplementary Material for: Increased responsiveness of stored platelets after short-term refrigeration

description: Introduction: Refrigeration of platelets is considered to provide advantages in therapy of acute hemorrhage due to increased platelet responsiveness. The alleviation of inhibitory signaling caused by cold temperature (CT) has been identified as an important mechanism contributing to enhanced platelet reactivity, detectable in freshly prepared platelets within 1 h of cold storage. The aim of this study was to confirm the effects of short-term refrigeration in platelets from apheresis-derived platelet concentrates (APC). Methods: APC were stored under standardized conditions for 1 day or for 2 days at room temperature (RT) and then refrigerated for 1 h, followed by sampling of platelets for analysis. Platelet reactivity was measured by aggregation studies using threshold concentrations of different agonists and by detection of fibrinogen binding using flow cytometry. The exploration of inhibitory signaling comprised the detection of VASP phosphorylation using flow cytometry or Western Blot and the measurement of cyclic nucleotide levels. Results: Aggregation responses induced with ADP, collagen or TRAP-6 were increased in APC after cold storage for 1 h, associated with elevated TRAP-6-induced fibrinogen binding. VASP phosphorylation levels were decreased after cold exposition, detectable in 1-day and 2 days-stored APC with flow cytometry, and in 2 days-stored APC with Western Blot technique. Induced cGMP levels were lower after storage at CT in APC on day 1 and on day 2, whereas cAMP levels were reduced on 2 days-stored APC. Conclusion: Short-term refrigeration for 1 h is sufficient to induce an attenuation of inhibitory signaling, accompanied with increased aggregation responses in APC stored for up to two days. The “on demand”-refrigeration of PC may be a reasonable approach for the preparation of platelets with enhanced responsiveness to treat patients with hemorrhage more effectively, which should be further addressed in consecutive studies.
DOI: 10.7483/opendata.alice.y4kj.8hzc
title: Pb-Pb data sample at 3.5 TeV from run number 139038

description: Pb-Pb ESD data sample at 3.5 TeV from RunH of 2010. Run period from run number 139038.
DOI: 10.25582/data.2020-09.2049284/2019473
title: Data for EMSL Project 51126 from September 2020
DOI: 10.5281/zenodo.8299791
title: Chapman conference data

description: These data provide information on binary gender participation (men, women) in scientific leadership at Chapman conferences.
DOI: 10.5441/002/edbt.2020.35
title: Optimizing Data Movement with Near-Memory Acceleration of In-memory DBMS
DOI: 10.7483/opendata.cms.zcfq.q557
title: /MuOniaParked/Run2012B-22Jan2013-v1/AOD
DOI: 10.25582/data.2020-09.2049926/2019474
title: Data for EMSL Project 51126 from September 2020
DOI: 10.25582/data.2020-09.2049379/2019475
title: Data for EMSL Project 51126 from September 2020
DOI: 10.17632/dhhgdf2krb.1
title: Numerical data for the figures of Korenaga & Marchi (2023)

description: * MOdepth.m0.01.v1.7.a45.dat: the spatial variation of magma ocean depth (Figure 1d). The file format is (longitude, latitude, magma ocean depth in km). 
* PMZthick.m0.01.v1.7.a45.dat: the spatial variation of partially molten zone thickness (Figure 1e). The file format is (longitude, latitude, thickness in km). 
* run2.z250.dat: the efficiency of metal percolation (Figure 3), with a 250-km thick partially molten zone. The file format is (log10(grain size (m)), time (hours), log10(metal mass (km)), log10(metal fraction)). 
* run2.z1000.dat: ditto with a 1000-km thick zone. 
* csp.ra3e7.h25.a4.61.t5H.init.dat: composition snapshot (Figure 4a). The file format is (x, z, metal fraction, dummy variable). 
* csp.ra3e7.h25.a4.61.t5H.2.5Ga.dat: ditto (Figure 4c)
* csp.ra3e7.h25.a4.61.t5H.now.dat: ditto (Figure 4e)
* csp.ra3e7.h25.a4.61.e15H.init.dat: ditto (Figure 4b)
* csp.ra3e7.h25.a4.61.e15H.2.5Ga.dat: ditto (Figure 4d)
* csp.ra3e7.h25.a4.61.e15H.now.dat: ditto (Figure 4f)
* sp.ra3e7.h25.a4.61.t5H.now.dat: temperature snapshot (Figure 4g). The file format is (x, z, T, dT/dt, x-velocity, z-velocity)
* sp.ra3e7.h25.a4.61.e15H.now.dat: ditto (Figure 4h)
* case.[1-7].dat: the evolution of average metal fraction in the convecting mantle (Figure 4i). The file format is (time in Gyr, metal fraction).
DOI: 10.5067/qn80to7zhfjz
title: GLDAS Noah Land Surface Model L4 monthly 1.0 x 1.0 degree, Version 2.0
DOI: 10.6084/m9.figshare.1189274
title: S1 sandstone

description: Micro-CT image of S1 sandstone and extracted networks (Dong and Blunt, 2009, DOI: http://dx.doi.org/10.1103/PhysRevE.80.036307) The image can be visualised by opening the Nrrd header file S1.nhdr in visualization software such as Paraview or ImageJ (http://fiji.sc/Fiji), You can also open the S1.nhdr file in a text editor to see the image and voxel sizes. See the link provided for further information.
DOI: 10.6084/m9.figshare.22188913
title: Supplementary Material for: Gastrointestinal involvement of Eosinophilic Granulomatosis with Polyangiitis with histological evidence of treatment response

description: Eosinophilic granulomatosis with polyangiitis (EGPA) is a rare systemic vasculitis of small to medium vessels. Gastrointestinal involvement is uncommon and is associated with higher mortality. Treatment is based on empiric evidence. In this article, we report a case EGPA related pancolitis and stricturing small bowel disease managed with a combination of mepolizumab and surgical resection.
DOI: 10.6084/m9.figshare.23304008
title: Supplementary Material for: The natural evolution of nevi with peripheral globules

description: Background: Peripheral globules (PG) in melanocytic lesions represent a concerning dermoscopic feature, since they might be present in growing nevi and melanomas. Their natural evolution has not been fully elucidated and an age-based management approach has been recommended. Objectives: To calculate the growth rate of lesions with PG and investigate possible association with age, sex, location and the global dermoscopic pattern. Methods: We retrospectively selected the lesions of interest from a cohort of Caucasian patients who underwent sequential digital dermoscopy monitoring. Lesions with PG distributed at 75% or more of their circumference with available follow up images or histopathologic report were included. The surface area was automatically calculated with the help of an incorporated tool used in the acquisition of the images. The images were also evaluated by independent investigators for the presence of pre-defined criteria. Growth-curve models were used to assess the growth rate. The outcome variable was the area of nevi in mm2 and scatterplots with Lowess curves were used to present the mean change of nevi during follow up. Results: A total of 208 lesions from 98 patients with a median age of 36 years (range 15-75) were included. The median follow-up time was 18 months (range 4-48). The mean growth rate for all nevi was 0.16 mm2/month (95% CI, 0.14 – 0.18, p&lt;0.001) ranging from -0.29 to 0.61 mm2/month. The growth rate was higher in nevi with a homogeneous dermoscopic pattern (p&lt;0.001). The number of peripheral globules during follow up varied from increasing to complete disappearance. None of the lesions developed any melanoma-specific structure at follow up. Conclusion: Nevi with PG grew at a mean rate of 0.16mm2/month and the growth rate was independent of age, gender or anatomic location. Nevi with homogeneous pattern demonstrated the highest growth rate in our cohort. None of the monitored nevi with PG developed melanoma-specific criteria at follow up.
DOI: 10.6084/m9.figshare.23585127
title: Supplementary Material for: Evaluation of nozzle tip damage in intraocular lens injectors with V-shaped notch

description: Introduction Damage to the nozzle tips of IOL injectors has been associated with various adverse events and even IOL surface abnormalities after IOL implantation. In this study, nozzle tip damage of three different injector models with v-notched nozzle tips were systematically evaluated using our self-developed system - the Heidelberg Score for IOL Injector Damage. Methods Nozzle tip damage was categorized into 6 grades: no damage (grade 0), slight scratches (1), deep scratches (2), extensions (3), cracks (4) and bursts (5). Each grade was assigned to a score from 0-5. In each IOL injector group, all IOLs were divided into 2 subgroups based on IOL power: +15 to +21D group and +21 to +26D group. The total scores for each group were the sum of scores for all injectors in this group. Further analysis was performed on the nozzle tip configuration and parameters in each injector model. Results The median (Q1-Q3) for each injector group in group +15-+21D was: 1.5 (1-2) for Avansee, 4 (3-4) for iSert, and 4 (3-4) for multiSert. A statistically significant difference was found between Avansee and iSert (P &lt; 0.001) as well as between Avansee and multiSert (P &lt; 0.01) in terms of median scores. The median (Q1-Q3) for each injector group in group +21-+26D was: 1.5 (1-2) for Avansee, 4 (4-4) for iSert, and 3 (3-3.75) for multiSert. A statistically significant difference was found between Avansee and iSert in terms of median scores (P &lt; 0.001). The outer cross-sectional diameters were 1.80 and 1.78 mm for Avansee, 1.70 and 1.69 mm for iSert, and 1.69 and 1.68 mm for multiSert. The radii of each notch-based circle were 0.21 mm (Avansee), 0.09 (iSert), and 0.06 (multiSert), respectively. The tip angles for three injector models were: 48° (Avansee), 46° (iSert), and 37° (multiSert). Conclusions Avansee showed the least nozzle tip damage of all three groups. Compared with our earlier study using preloaded injectors with intact endpieces, all the injector groups with v-notch nozzle tips had more damage to the nozzle tip. It was found that the closer the notch of the nozzle tip was to the letter "V", the more damaged the nozzle tip was after IOL implantation.
DOI: 10.6084/m9.figshare.23723637
title: Supplementary Material for: Prognostic ability of nutritional indices for outcomes of bladder cancer: A systematic review and meta-analysis

description: Background: Nutrition has become an important parameter influencing the prognosis of several cancers. However, its impact on outcomes of bladder cancer (BC) is still unclear. This review examines the association between three commonly used nutritional indices namely, the prognostic nutritional index (PNI), controlling nutritional status (CONUT), and the geriatric nutritional risk index (GNRI) and outcomes of BC. Methods: PubMed, CENTRAL, Scopus, Web of Science, Embase, and Google Scholar were explored for studies published up to 13th April 2023. Data from studies were pooled to examine the association between PNI, CONUT, or GNRI and overall survival (OS) and recurrence-free survival (RFS). Results: Thirteen studies were included. Meta-analysis demonstrated significantly poor OS with low PNI vs high PNI in BC patients (HR: 1.71 95% CI: 1.37, 2.14 I2=0%). This result remained significant in various subgroup analyses. However, no association was noted between PNI and RFS (HR: 1.22 95% CI: 0.67, 2.24 I2=84%). Meta-analysis showed that patients with high CONUT scores had significantly poor OS (HR: 2.43 95% CI: 1.82, 3.25 I2=0%) as well as RFS (HR: 2.90 95% CI: 2.10, 4.01 I2=0%). Data on GNRI was scarce and conflicting. Conclusion: Limited data shows that PNI and CONUT are predictive of outcomes in BC. Low PNI was associated with poor OS while high CONUT was associated with poor OS and RFS. Data on GNRI is too scarce to obtain conclusions. Further studies are needed to supplement the results.