cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18430/m35run
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000000194295 (5RUN)
DOI: 10.18430/m35ruo
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000001683100 (5RUO)
DOI: 10.18430/m35rup
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000004976927 (5RUP)
DOI: 10.18430/m35ruq
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000032199226 (5RUQ)
DOI: 10.18430/m35rur
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000017744334 (5RUR)
DOI: 10.18430/m35rus
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000000388081 (5RUS)
DOI: 10.18430/m35rut
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000000161958 (5RUT)
DOI: 10.18430/m35ruu
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000000438614 (5RUU)
DOI: 10.18430/m35ruv
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000019015194 (5RUV)
DOI: 10.18430/m35ruw
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000045014941 (5RUW)
DOI: 10.18430/m35rux
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000002020050 (5RUX)
DOI: 10.18430/m35ruy
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000013517187 (5RUY)
DOI: 10.18430/m35ruz
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000019685960 (5RUZ)
DOI: 10.18430/m35rv0
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000000039994 (5RV0)
DOI: 10.18430/m35rv1
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000000251609 (5RV1)
DOI: 10.18430/m35rv2
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000000311783 (5RV2)
DOI: 10.18430/m35rv3
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000000057162 (5RV3)
DOI: 10.18430/m35rv4
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000000039224 (5RV4)
DOI: 10.18430/m35rv5
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000008578948 (5RV5)
DOI: 10.18430/m35rv6
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000000158540 (5RV6)
DOI: 10.18430/m35rv7
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000003954002 (5RV7)
DOI: 10.18430/m35rv8
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000000039575 (5RV8)
DOI: 10.18430/m35rv9
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000000388150 (5RV9)
DOI: 10.18430/m35rva
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000016343276 (5RVA)
DOI: 10.18430/m35rvb
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000014419577 (5RVB)
DOI: 10.18430/m35rvc
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000933940912 (5RVC)
DOI: 10.18430/m35rvd
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000263980802 (5RVD)
DOI: 10.18430/m35rve
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000736709772 (5RVE)
DOI: 10.18430/m35rvf
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000082473428_N3 (5RVF)
DOI: 10.18430/m35rvg
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000400552187_N3 (5RVG)
DOI: 10.18430/m35rvh
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000000265642 (5RVH)
DOI: 10.18430/m35rvi
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000084843283 (5RVI)
DOI: 10.18430/m35rvj
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000001612349 (5RVJ)
DOI: 10.18430/m35rvk
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000002977810 (5RVK)
DOI: 10.18430/m35rvl
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000000149580 (5RVL)
DOI: 10.18430/m35rvm
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000000157088 (5RVM)
DOI: 10.18430/m35rvn
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000000332748 (5RVN)
DOI: 10.18430/m35rvo
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000013514509 (5RVO)
DOI: 10.18430/m35rvp
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000000154817 (5RVP)
DOI: 10.18430/m35rvq
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000002508153 (5RVQ)
DOI: 10.18430/m35rvr
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000016052862 (5RVR)
DOI: 10.18430/m35rvs
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000000159004 (5RVS)
DOI: 10.18430/m35rvt
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000002582714 (5RVT)
DOI: 10.18430/m35rvu
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000002506130 (5RVU)
DOI: 10.18430/m35rvv
title: X-ray diffraction data for the crystal structure of SARS-CoV-2 NSP3 macrodomain in complex with ZINC000020269197 (5RVV)
DOI: 10.6084/m9.figshare.14237327
title: Supplementary Material for: Biological Therapies for Atopic Dermatitis: A Systematic Review

description: <b><i>Background:</i></b> Atopic dermatitis (AD) is a widely acquired, relapsing inflammatory skin disease. Biologics are now widely used in patients with moderate-to-severe AD. <b><i>Objective:</i></b> This work aims to summarize both label and off-label biologics on AD treatment in phase II and phase III stages, and compile evidence on the efficacy of the most-studied biologics. <b><i>Methods:</i></b> We conducted a comprehensive literature search through PubMed, EMBASE, and ClinicalTrials.gov to identify all documented biological therapies for AD. The criteria were further refined to focus on those treatments with the highest evidence level for AD with at least one randomized clinical trial supporting their use. Only studies or articles published in English were enrolled in this study. <b><i>Findings:</i></b> Primary searches identified 525 relevant articles and 27 trials. Duplicated articles and papers without a full text were excluded. Only completed trials were enrolled. We included 28 randomized controlled trials, 4 unpublished trials, 2 observational studies, and 1 meta-analysis. Eight kinds of biologics, including IL-4/IL-13 inhibitors, JAK inhibitors, anti-IL-13 antibodies, anti-IL-22 antibodies, anti-IL-33 antibodies, thymic stromal lymphopoietin inhibitor (TSLP), OX40 antibodies, and H4R-antagonists were included in this work. Dupliumab, as the most widely used and investigated biologic, was reported in 1 meta-analysis and 4 trials exploring its long-term use and application in both adults and pediatric patients. Besides dupilumab, four other IL-4/IL-13 inhibitors recruited were all randomized, clinical trials at phase 2–3 stage. Six different kinds of JAK inhibitors were summarized with strong evidence revealing their significant therapeutic effects on AD. There were 3 trials for nemolizumab, an anti-IL-13 antibody, all of which were in the phase 2 clinical trial stage. Results showed nemolizumab could be another alternative therapy for moderate-to-severe AD with long-term efficiency and safety. <b><i>Conclusion:</i></b> The biological therapies with the most robust evidence on efficacy and long-term safety for AD treatment include dupilumab, barcitinib, abrocitinib, and delgocitinib. Most of the biologics mentioned in this review were still at the exploratory stage. This review will help practitioners advise patients seeking suitable biological therapies and offer experimental study directions for treatment.
DOI: 10.6084/m9.figshare.14237345
title: Supplementary Material for: Bidirectional Association between Psoriasis and Atopic Dermatitis: A Nationwide Population-Based Cohort Study

description: <b><i>Background:</i></b> There have been some reports on the coexistence of psoriasis and atopic dermatitis; however, the longitudinal relationship between these two diseases remains unclear. <b><i>Objective:</i></b> This study aimed to investigate the bidirectional association between psoriasis and atopic dermatitis. <b><i>Methods:</i></b> This cohort study recruited patients from the National Health Insurance Research Database in Taiwan. We included 8,206 patients with psoriasis and 32,824 matched controls to assess the risk of atopic dermatitis and 25,743 patients with atopic dermatitis and 102,972 matched controls to assess the risk of psoriasis. Cox regression model was used for the analyses. <b><i>Results:</i></b> After adjusting for potential confounders, patients with psoriasis had a higher risk of atopic dermatitis (adjusted hazard ratio [aHR] 13.01; 95% CI 10.23–16.56) than the controls. Patients with atopic dermatitis had a higher risk of psoriasis (aHR 10.37; 95% CI 6.85–15.69) than the controls. Stratified analyses revealed similar results in both sexes and all age groups. <b><i>Conclusion:</i></b> Our study demonstrated a bidirectional association between psoriasis and atopic dermatitis, suggesting that psoriasis and atopic dermatitis are not mutually exclusive and may share some biological mechanisms.
DOI: 10.25921/bvdp-vt63
title: Commercial (Comm) Radio Occultation (RO) Raw Data Record (RDR) from GeoOptics
DOI: 10.21227/2pxt-nn33
title: January-20-Tang-Wenyuan.csv

description: January-20-Tang-Wenyuan.csv
DOI: 10.6084/m9.figshare.14237321
title: Supplementary Material for: The Relationship between the Most Common Subtypes of Dementia and Orthostatic Hypotension in Older Adults

description: <b><i>Background:</i></b> It is crucial to evaluate the causes of morbidity and mortality in elderly patients with dementia, such as orthostatic hypotension (OH), which may affect their daily life activities, reduce the quality of life, and increase the caregiver burden. <b><i>Objective:</i></b> We aimed to investigate the relationship between OH and the most common subtypes of dementia in detail. <b><i>Methods:</i></b> A total of 268 older adults with dementia diagnosed with Alzheimer’s disease (AD), dementia with Lewy bodies (DLB), vascular dementia (VaD), and behavioral variant frontotemporal dementia (bvFTD), and 539 older adults without dementia were included in this prospective study. Comprehensive geriatric assessment including comorbidity, medication evaluation, and the head-up tilt test was also performed. <b><i>Results:</i></b> Of the participants, 13.8, 8.3, 6.4, and 4.8% had AD, DLB, bvFTD, and VaD, respectively. After adjusting for age, gender, the presence of comorbidities, and usage of OH-induced drugs; AD, DLB, and VaD were associated with OH (odds ratio [OR]: 2.23 confidence interval [CI] 95% 1.31–3.80; <i>p</i> = 0.003; OR: 3.68 CI 95% 1.98–6.83; <i>p</i> &lt; 0.001, and OR: 3.56 CI 95% 1.46–8.69; <i>p</i> = 0.005, respectively). Furthermore, VaD was independently related to diastolic OH (OR: 4.19 CI 95% 1.66–10.57; <i>p</i> = 0.002), whereas AD and DLB were not. <b><i>Conclusions:</i></b> This study shows that elderly patients with DLB, AD, and VaD often have OH, a disabling autonomic dysfunction feature. Moreover, diastolic OH may play a role in the development of VaD. Therefore, considering potential complications of OH, it is essential to evaluate OH in the follow-up and management of those patients.
DOI: 10.6084/m9.figshare.14237321.v1
title: Supplementary Material for: The Relationship between the Most Common Subtypes of Dementia and Orthostatic Hypotension in Older Adults

description: <b><i>Background:</i></b> It is crucial to evaluate the causes of morbidity and mortality in elderly patients with dementia, such as orthostatic hypotension (OH), which may affect their daily life activities, reduce the quality of life, and increase the caregiver burden. <b><i>Objective:</i></b> We aimed to investigate the relationship between OH and the most common subtypes of dementia in detail. <b><i>Methods:</i></b> A total of 268 older adults with dementia diagnosed with Alzheimer’s disease (AD), dementia with Lewy bodies (DLB), vascular dementia (VaD), and behavioral variant frontotemporal dementia (bvFTD), and 539 older adults without dementia were included in this prospective study. Comprehensive geriatric assessment including comorbidity, medication evaluation, and the head-up tilt test was also performed. <b><i>Results:</i></b> Of the participants, 13.8, 8.3, 6.4, and 4.8% had AD, DLB, bvFTD, and VaD, respectively. After adjusting for age, gender, the presence of comorbidities, and usage of OH-induced drugs; AD, DLB, and VaD were associated with OH (odds ratio [OR]: 2.23 confidence interval [CI] 95% 1.31–3.80; <i>p</i> = 0.003; OR: 3.68 CI 95% 1.98–6.83; <i>p</i> &lt; 0.001, and OR: 3.56 CI 95% 1.46–8.69; <i>p</i> = 0.005, respectively). Furthermore, VaD was independently related to diastolic OH (OR: 4.19 CI 95% 1.66–10.57; <i>p</i> = 0.002), whereas AD and DLB were not. <b><i>Conclusions:</i></b> This study shows that elderly patients with DLB, AD, and VaD often have OH, a disabling autonomic dysfunction feature. Moreover, diastolic OH may play a role in the development of VaD. Therefore, considering potential complications of OH, it is essential to evaluate OH in the follow-up and management of those patients.
DOI: 10.6084/m9.figshare.14237465
title: Turning parameters Dataset.docx

description: The dataset presented here supports the findings of the study of the turning parameters (i.e. spindle speed, feed and depth of cut) on the surface roughness of EN31 Steel .
DOI: 10.6084/m9.figshare.14237465.v1
title: Turning parameters Dataset.docx

description: The dataset presented here supports the findings of the study of the turning parameters (i.e. spindle speed, feed and depth of cut) on the surface roughness of EN31 Steel .
DOI: 10.24342/825019c1-5392-4d8b-b1c8-1a2bc58c2f42
title: Measurements for RF near-field localization

description: Dataset and scripts used in article "Near-field localization using machine learning: an empirical study" to be presented in VTC2021 Helsinki.
DOI: 10.5281/zenodo.4546864
title: Daily snow water equivalent (SWE) observations from 1,065 stations in western North America for years 1960 - 2019.

description: This data set includes daily snow water equivalent (SWE) observations for the historical record to September 2019 at 1,065 stations in the western U.S. and western Canada. Remote telemetry stations measure snowpack by relating measurements of the overlying snowpack mass to the water depth equivalent. The data were obtained from the Natural Resources Conservation Service, the California Department of Water Resources, Alberta Environment, the British Columbia Ministry of Environment, and the Yukon Government Water Resources Branch. Two levels of data are provided. The file <em>snowPillowSWE_westernNA_level1_ncc.nc</em> has been formatted but not quality controlled. The file <em>snowPillowSWE_westernNA_level2_ncc.nc</em> has been formatted and quality controlled. Both files are in netCDF format. The level 1 product provides daily SWE from January 1, 1960, to September 1, 2019 (21,794 days; row dimension) for 1,065 stations (column dimension). The level 2 SWE product is formatted by water year (October 1 to September 30) starting on Oct. 1, 1960 and ending on September 1, 2019, for the 1,065 stations and 59 years. Thus, it is of dimension [366 days,1065 stations, 59 years]. See the metadata in the netCDF files for information on all variables. Missing data are indicated by <em>NaN</em>. Please refer to the following publication for more information on the data and QA/QC methods: Musselman, K.N., N. Addor, J. Vano, and N.P. Molotch (2021). Winter melt rates portend widespread declines in snow water resources. <em>Nature Climate Change</em>. DOI: 10.1038/s41558-021-01014-9
DOI: 10.34740/kaggle/ds/1219348
title: PNRR NextGenerationEU in Italy - presentations
DOI: 10.15468/te2s3e
title: Four new species of Litoblatta from Argentina with a key to species based on males (Blattaria: Ectobiidae: Blattellinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Valverde, Alejandra Del Carmen, Crespo, Francisco A. (2021): Four new species of Litoblatta from Argentina with a key to species based on males (Blattaria: Ectobiidae: Blattellinae). Zootaxa 4941 (4): 553-568, DOI: https://doi.org/10.11646/zootaxa.4941.4.5
DOI: 10.5281/zenodo.4618029
title: Customized gtf file from Ensembl version 98 mm10

description: The gtf from Ensembl version 98 (mm10) was filtered to remove readthrough transcripts and all non-coding transcripts from a protein-coding gene. In addition, all genes with the same gene name which overlaps were merged under the same gene id to avoid ambiguous reads.
DOI: 10.25345/c5hj7b
title: MassIVE MSV000087067 - Towards engineering ecto-mycorrhization into switchgrass bioenergy crops via a lectin receptor-like kinase
title: Soil-borne microbes can establish compatible relationships with host plants, providing a large variety of nutritive and protective compounds in exchange for photosynthesized sugars. However, the molecular signals mediating the establishment of these beneficial relationships remain unclear. Our previous genetic mapping and whole-genome resequencing studies identified a gene deletion event of a Populus trichocarpa lectin receptor-like kinase gene PtLecRLK1 in Populus deltoides that was associated with poor root colonization by the ectomycorrhizal fungus Laccaria bicolor. By introducing PtLecRLK1 into a perennial grass known to be a non-host of L. bicolor, switchgrass (Panicum virgatum L.), we found that the L. bicolor colonizes the ZmUbipro-PtLecRLK1 transgenic switchgrass roots which illustrates that introduction of PtLecRLK1 has the potential to convert a non-host to a host of L. bicolor. Further transcriptomic and proteomic analyses on inoculated transgenic switchgrass root samples revealed genes/proteins overrepresented in the compatible interaction and underrepresented in the pathogenic defense pathway, consistent with the view that pathogenic defense response is downregulated during compatible interaction. Metabolomic profiling revealed that root colonization in the transgenic switchgrass was associated with an increase in N-containing metabolites and a decrease in organic acids, sugars, and phenolics-like hydroxycinnamate conjugates, which are often seen in the early steps of establishing compatible interactions in compatible partners. This work illustrates that PtLecRLK1 is able to render a plant susceptible to colonization by the ectomycorrhizal fungus L. bicolor and sheds light on engineering mycorrhizal symbiosis into a non-host to enhance plant productivity and fitness in marginal lands.
DOI: 10.5281/zenodo.4290861
title: Dataset for scaling of the 2d orders coupled to the Ising Model

description: This is the data and some example analysis scripts used for the article "Phase transitions in $2$d orders coupled to the Ising model"
DOI: 10.5281/zenodo.4290860
title: Dataset for scaling of the 2d orders coupled to the Ising Model

description: This is the data and some example analysis scripts used for the article "Phase transitions in $2$d orders coupled to the Ising model"
DOI: 10.5281/zenodo.4456702
title: Customized gtf file from Ensembl version 98 mm10

description: The gtf from Ensembl version 98 (mm10) was filtered to remove readthrough transcripts and all non-coding transcripts from a protein-coding gene. In addition, all genes with the same gene name which overlaps were merged under the same gene id to avoid ambiguous reads. Unfortunately this gtf is not a fully valid gtf. It still works with STAR/cellRanger but not for other applications. A reformated version has been uploaded as a version 2: https://doi.org/10.5281/zenodo.4618029
DOI: 10.5281/zenodo.4617269
title: Toymodel - reservoir simulation data

description: This is a synthetic dataset generated by dynamic numerical fluid flow simulations of a 3D ``toy reservoir'' of depth 7500 ft. The simulations are conducted using a commercial reservoir simulation software by CMG (Computer Modeling Group Ltd.). The model consists of three layers with 25x25x3 simulation grid points along x,y and z directions. The grid spacing is 300 ft in x and y directions and 11 ft in z direction. Permeability and porosity are heterogeneous and are taken from a geological model in offshore Gulf of Mexico. We have assumed three realizations for permeability and porosity categorized as P10, P50 and P90 representing three different geological conditions. The model includes one injection well at the center grid point (13, 13) and one producer extracting water at grid block (23, 23). The injector well is injecting supercritical $CO_2$ at a constant rate and the water production well is set at a constant bottom hole pressure (BHP). For each of the \textthree geological conditions (P10, P50 and P90), we run nine different simulations by varying the injection rate while keeping all other parameters the same generating a total of 27 realizations. The simulation outputs (pressure, gas saturation and water production rate) are reported on the 25x25x3 grid points at 72 time steps ranging from 0 to 2161 days.
DOI: 10.5281/zenodo.4617268
title: Toymodel - reservoir simulation data

description: This is a synthetic dataset generated by dynamic numerical fluid flow simulations of a 3D ``toy reservoir'' of depth 7500 ft. The simulations are conducted using a commercial reservoir simulation software by CMG (Computer Modeling Group Ltd.). The model consists of three layers with 25x25x3 simulation grid points along x,y and z directions. The grid spacing is 300 ft in x and y directions and 11 ft in z direction. Permeability and porosity are heterogeneous and are taken from a geological model in offshore Gulf of Mexico. We have assumed three realizations for permeability and porosity categorized as P10, P50 and P90 representing three different geological conditions. The model includes one injection well at the center grid point (13, 13) and one producer extracting water at grid block (23, 23). The injector well is injecting supercritical $CO_2$ at a constant rate and the water production well is set at a constant bottom hole pressure (BHP). For each of the \textthree geological conditions (P10, P50 and P90), we run nine different simulations by varying the injection rate while keeping all other parameters the same generating a total of 27 realizations. The simulation outputs (pressure, gas saturation and water production rate) are reported on the 25x25x3 grid points at 72 time steps ranging from 0 to 2161 days.