cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25934/00005761.2
title: IPD datapackage for study 'A Multi-center, Randomized, Double-blind, Parallel Group Study of the Safety, Disease Remission and Prevention of Structural Joint Damage During Treatment With Tocilizumab (TCZ), as a Monotherapy and in Combination With Methotrexate (MTX), Versus Methotrexate in Patients With Early, Moderate to Severe Rheumatoid Arthritis' and research request: 'Heterogeneity in relative treatment efficacy by age, sex, socioeconomic status and comorbidity (McAllister)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.6084/m9.figshare.14937825.v1
title: Raw data Metabolic Gut Microbes

description: Raw data metabolomic analysis study M4U
DOI: 10.21227/ch1h-e282
title: 5G Campus Networks: Measurement Traces

description: This data set contains measurement traces (PCAPs) of a 5G campus network.
DOI: 10.5281/zenodo.4653768
title: Repository: Spectral Albedo of Dusty Martian H2O Snow and Ice

description: This repository contains: 1. Snow/Ice Albedos from Khuller, Christensen & Warren (2021)<br> a) Clean Snow/ice Albedos (without dust)<br> i) 100_clean_snow_albedo: Pure snow albedo with 100 micron ice grain size<br> ii) 350_clean_snow_albedo: Pure snow albedo with 350 micron ice grain size<br> iii) 500_clean_snow_albedo: Pure snow albedo with 500 micron ice grain size<br> iv) 2500_clean_firn_albedo: Pure firn albedo with 2.5 mm ice grain size<br> v) 14000_clean_ice_albedo: Pure glacier ice albedo with 14 mm ice grain size b) Dusty Snow/ice Albedos from Khuller, Christensen & Warren (2021)<br> i) 100_dusty_snow_albedo: Dusty snow albedo with 100 micron ice grain size and 1.8 micron dust grain size<br> ii) 350_snow_wdst_015percent_albedo: Dusty (0.015%) snow albedo with 350 micron ice grain size and 1.3 micron dust grain size<br> iii) 500_dusty_snow_albedo: Dusty snow albedo with 500 micron grain size and 1.8 micron dust grain size<br> iv) 2500_dusty_firn_albedo: Dusty firn albedo with 2.5 mm grain size 1.8 micron dust grain size<br> v) 14000_dusty_ice_albedo: Dusty glacier ice albedo with 14 mm grain size and 1.8 micron dust grain size 2. Snow/Ice Single-Scattering Coalbedos from Khuller, Christensen & Warren (2021)<br> a) Clean Snow/ice Coalbedos (without dust)<br> i) 100_clean_snow_ssc: Pure snow single-scattering coalbedo with 100 micron ice grain size<br> ii) 500_clean_snow_ssc: Pure snow single-scattering coalbedo with 500 micron ice grain size<br> iii) 2500_clean_firn_ssc: Pure firn single-scattering coalbedo with 2.5 mm ice grain size<br> iv) 14000_clean_ice_ssc: Pure glacier ice single-scattering coalbedo with 14 mm ice grain size b) Dusty Snow/ice Coalbedos from Khuller, Christensen & Warren (2021)<br> i) 100_dusty_snow_ssc: Dusty snow single-scattering coalbedo with 100 micron ice grain size and 1.8 micron dust grain size<br> ii) 500_dusty_snow_ssc: Dusty snow single-scattering coalbedo with 500 micron grain size and 1.8 micron dust grain size<br> iii) 2500_dusty_firn_ssc: Dusty firn single-scattering coalbedo with 2.5 mm grain size 1.8 micron dust grain size<br> iv) 14000_dusty_ice_ssc: Dusty glacier ice single-scattering coalbedo with 14 mm grain size and 1.8 micron dust grain size 3. Dust Albedos from Khuller, Christensen & Warren (2021)<br> a) dust_130nm_albedo: Dust albedo with 1.3 micron grain size<br> b) dust_165nm_albedo: Dust albedo with 1.65 micron grain size<br> c) dust_180nm_albedo: Dust albedo with 1.8 micron grain size 4. Wavelengths used for files listed in 1, 2 and 3 from Khuller, Christensen & Warren (2021)<br> wv_alb 5. Blaney et al. (2009) Ice and Soil Spectra<br> a) DG_initial: Ice spectra on sol 28<br> b) Soil: Soil spectra<br>
DOI: 10.5281/zenodo.4653767
title: Repository: Spectral Albedo of Dusty Martian H2O Snow and Ice

description: This repository contains: 1. Snow/Ice Albedos from Khuller, Christensen & Warren (2021)<br> a) Clean Snow/ice Albedos (without dust)<br> i) 100_clean_snow_albedo: Pure snow albedo with 100 micron ice grain size<br> ii) 350_clean_snow_albedo: Pure snow albedo with 350 micron ice grain size<br> iii) 500_clean_snow_albedo: Pure snow albedo with 500 micron ice grain size<br> iv) 2500_clean_firn_albedo: Pure firn albedo with 2.5 mm ice grain size<br> v) 14000_clean_ice_albedo: Pure glacier ice albedo with 14 mm ice grain size b) Dusty Snow/ice Albedos from Khuller, Christensen & Warren (2021)<br> i) 100_dusty_snow_albedo: Dusty snow albedo with 100 micron ice grain size and 1.8 micron dust grain size<br> ii) 350_snow_wdst_015percent_albedo: Dusty (0.015%) snow albedo with 350 micron ice grain size and 1.3 micron dust grain size<br> iii) 500_dusty_snow_albedo: Dusty snow albedo with 500 micron grain size and 1.8 micron dust grain size<br> iv) 2500_dusty_firn_albedo: Dusty firn albedo with 2.5 mm grain size 1.8 micron dust grain size<br> v) 14000_dusty_ice_albedo: Dusty glacier ice albedo with 14 mm grain size and 1.8 micron dust grain size 2. Snow/Ice Single-Scattering Coalbedos from Khuller, Christensen & Warren (2021)<br> a) Clean Snow/ice Coalbedos (without dust)<br> i) 100_clean_snow_ssc: Pure snow single-scattering coalbedo with 100 micron ice grain size<br> ii) 500_clean_snow_ssc: Pure snow single-scattering coalbedo with 500 micron ice grain size<br> iii) 2500_clean_firn_ssc: Pure firn single-scattering coalbedo with 2.5 mm ice grain size<br> iv) 14000_clean_ice_ssc: Pure glacier ice single-scattering coalbedo with 14 mm ice grain size b) Dusty Snow/ice Coalbedos from Khuller, Christensen & Warren (2021)<br> i) 100_dusty_snow_ssc: Dusty snow single-scattering coalbedo with 100 micron ice grain size and 1.8 micron dust grain size<br> ii) 500_dusty_snow_ssc: Dusty snow single-scattering coalbedo with 500 micron grain size and 1.8 micron dust grain size<br> iii) 2500_dusty_firn_ssc: Dusty firn single-scattering coalbedo with 2.5 mm grain size 1.8 micron dust grain size<br> iv) 14000_dusty_ice_ssc: Dusty glacier ice single-scattering coalbedo with 14 mm grain size and 1.8 micron dust grain size 3. Dust Albedos from Khuller, Christensen & Warren (2021)<br> a) dust_130nm_albedo: Dust albedo with 1.3 micron grain size<br> b) dust_165nm_albedo: Dust albedo with 1.65 micron grain size<br> c) dust_180nm_albedo: Dust albedo with 1.8 micron grain size 4. Wavelengths used for files listed in 1, 2 and 3 from Khuller, Christensen & Warren (2021)<br> wv_alb 5. Blaney et al. (2009) Ice and Soil Spectra<br> a) DG_initial: Ice spectra on sol 28<br> b) Soil: Soil spectra<br>
DOI: 10.6084/m9.figshare.14937825.v2
title: Raw data Metabolic Gut Microbes

description: Raw data metabolomic analysis study M4U
DOI: 10.25958/y8h0-xt33
title:   Hydrogen diffusion in coal: Implications for Hydrogen Geo‐Storage
DOI: 10.5281/zenodo.5083048
title: Urban bicycle networks, existing and synthetically grown

description: This data set contains all data used and generated in the study Growing Urban Bicycle Networks. The data contain, for 62 cities: original data of bicycle and street networks acquired from OpenStreetMap using OSMnx, processed simplified and merged data of these networks and snapped points of interests of rail and metro stations and grids, results and metrics of simulated synthetic bicycle networks, plots of results, plots of existing and synthetic networks, videos of simulated growing synthetic bicycle networks.
description: Data gathered and produced by this code: https://github.com/mszell/bikenwgrowth
DOI: 10.5517/ccdc.csd.cc26rs1t
title: CCDC 2048636: Experimental Crystal Structure Determination

description: Related Article: Qing Liu, Linhong Long, Pengchen Ma, Yingjie Ma, Xuebing Leng, Jie Xiao, Hui Chen, Liang Deng|2021|Cell Reports Physical Science|2|100454|doi:10.1016/j.xcrp.2021.100454
DOI: 10.5517/ccdc.csd.cc26rs2v
title: CCDC 2048637: Experimental Crystal Structure Determination

description: Related Article: Qing Liu, Linhong Long, Pengchen Ma, Yingjie Ma, Xuebing Leng, Jie Xiao, Hui Chen, Liang Deng|2021|Cell Reports Physical Science|2|100454|doi:10.1016/j.xcrp.2021.100454
DOI: 10.5517/ccdc.csd.cc26vsyt
title: CCDC 2051547: Experimental Crystal Structure Determination

description: Related Article: Jun Fan, Ming-Chung Yang, Thomas J. N. Hooper, Ming-Der Su, Cheuk-Wai So|2021|Organometallics|40|1848|doi:10.1021/acs.organomet.1c00108
DOI: 10.5517/ccdc.csd.cc26vszv
title: CCDC 2051548: Experimental Crystal Structure Determination

description: Related Article: Jun Fan, Ming-Chung Yang, Thomas J. N. Hooper, Ming-Der Su, Cheuk-Wai So|2021|Organometallics|40|1848|doi:10.1021/acs.organomet.1c00108
DOI: 10.5517/ccdc.csd.cc26wx34
title: CCDC 2052606: Experimental Crystal Structure Determination

description: Related Article: Hong Tho Le, Atsushi Goto|2021|Cell Reports Physical Science|2|100469|doi:10.1016/j.xcrp.2021.100469
DOI: 10.5517/ccdc.csd.cc26wx45
title: CCDC 2052607: Experimental Crystal Structure Determination

description: Related Article: Hong Tho Le, Atsushi Goto|2021|Cell Reports Physical Science|2|100469|doi:10.1016/j.xcrp.2021.100469
DOI: 10.5517/ccdc.csd.cc26wx56
title: CCDC 2052608: Experimental Crystal Structure Determination

description: Related Article: Hong Tho Le, Atsushi Goto|2021|Cell Reports Physical Science|2|100469|doi:10.1016/j.xcrp.2021.100469
DOI: 10.5517/ccdc.csd.cc26wx67
title: CCDC 2052609: Experimental Crystal Structure Determination

description: Related Article: Hong Tho Le, Atsushi Goto|2021|Cell Reports Physical Science|2|100469|doi:10.1016/j.xcrp.2021.100469
DOI: 10.5517/ccdc.csd.cc26wx89
title: CCDC 2052611: Experimental Crystal Structure Determination

description: Related Article: Hong Tho Le, Atsushi Goto|2021|Cell Reports Physical Science|2|100469|doi:10.1016/j.xcrp.2021.100469
DOI: 10.5517/ccdc.csd.cc26xkpd
title: CCDC 2053244: Experimental Crystal Structure Determination

description: Related Article: Yang Liu, Ji-Cheng Shu, Meng-Fei Wang, Zhang-Jun Xu, Li Yang, Xiao-Wei Meng, Wen-Bing Duan, Ni Zhang, Feng Shao, Rong-Hua Liu, Lan-Ying Chen|2021|Phytochemistry|189|112845|doi:10.1016/j.phytochem.2021.112845
DOI: 10.5517/ccdc.csd.cc279kdj
title: CCDC 2064767: Experimental Crystal Structure Determination

description: Related Article: S. Eswari, P. Selvaganapathi, S. Thirumaran, Samuele Ciattini|2021|Polyhedron|206|115330|doi:10.1016/j.poly.2021.115330
DOI: 10.5517/ccdc.csd.cc27hgw3
title: CCDC 2070455: Experimental Crystal Structure Determination

description: Related Article: Peng Gao, Yujin Ji, Jingnan Song, Guanqing Zhou, Junqi Lai, Xuemiao Yin, Youyong Li, Tao Song, Zhe Zhao, Qi Chen, Wei Feng, Liwei Chen, Yongming Zhang, Shihe Yang, Baoquan Sun, Feng Liu|2021|Cell Reports Physical Science|2|100450|doi:10.1016/j.xcrp.2021.100450
DOI: 10.5281/zenodo.5078478
title: Source Data for "Imaging biological tissue with high-throughput single-pixel compressive holography"

description: This file contains two subfolders, which are archived with relevant data that are necessary for reconstructing the holographic images of stained tissue from mouse tails and unstained tissue from mouse brains, respectively. Both subfolders have the same file components, including the MATLAB data and raw data collected from the data acquisition card, which are necessary for holographic imaging reconstruction. <br> Here, 'Supplementary Data 1' is prepared for the holographic reconstruction of stained tissue from mouse tails, while 'Supplementary Data 2' is provided for the holographic reconstruction of unstained tissue from mouse brains. *) biological_sample.mat: The raw data of imaging a slice of rat tail. The format of the data has been converted from .tdms to .mat file. *) background_curvature.mat: The raw data used to correct for phase contaminations from system aberrations. The format of the data has been converted from .tdms to .mat file. *) biological_sample_rawdata.tdms: The raw data of imaging a slice of rat tail. The data was collected through DAC and was in the format of TDMS. *) background_curvature_rawdata.tdms: The raw data used to correct for phase contaminations from system aberrations. The data was collected through DAC and was in the format of TDMS.<br>
DOI: 10.5281/zenodo.5084377
title: Systematic Engineering of Artificial Metalloenzymes for New-to-Nature Reactions

description: Data underlying the figures in the publication “Systematic Engineering of Artificial Metalloenzymes for New-to-Nature Reactions”, published in Sci. Adv., <strong>2021</strong>, 7, eabe420<em>RSC. </em> <em>https://advances.sciencemag.org/content/7/4/eabe4208.abstract</em> Table of contents: <strong>1. Dataset 1</strong>; Excel file containing the dataset for the Figures in the publication. It contains the activity of 400 artificial metalloenzymes measured for five reactions. In addition, the expression level of all mutants as well as validation experiments in vivo and in vitro are provided. As outlined in the file, some data were processed by subtracting a blank and normalizing to the optical density of the cultures as well as to a wild type control. Mutants are referred to by the amino acids at positions 112 and 121 of the protein.
DOI: 10.5281/zenodo.5084376
title: Systematic Engineering of Artificial Metalloenzymes for New-to-Nature Reactions

description: Data underlying the figures in the publication “Systematic Engineering of Artificial Metalloenzymes for New-to-Nature Reactions”, published in Sci. Adv., <strong>2021</strong>, 7, eabe420<em>RSC. </em> <em>https://advances.sciencemag.org/content/7/4/eabe4208.abstract</em> Table of contents: <strong>1. Dataset 1</strong>; Excel file containing the dataset for the Figures in the publication. It contains the activity of 400 artificial metalloenzymes measured for five reactions. In addition, the expression level of all mutants as well as validation experiments in vivo and in vitro are provided. As outlined in the file, some data were processed by subtracting a blank and normalizing to the optical density of the cultures as well as to a wild type control. Mutants are referred to by the amino acids at positions 112 and 121 of the protein.
DOI: 10.5281/zenodo.5084287
title: Dataset on adult preferences toward EQ-5D-Y health states in Slovenia

description: The dataset includes preferences of adults in Slovenia toward EQ-5D-Y health states in Slovenia, taking on a perspective of a 10-year old child. The preferences were collected using a discrete-choice experiment. The additional file presents the DCE design and variables descriptions.
description: The data collection was co-funded by EuroQol Group (EQ Project no. 20180510).
DOI: 10.5281/zenodo.5084286
title: Dataset on adult preferences toward EQ-5D-Y health states in Slovenia

description: The dataset includes preferences of adults in Slovenia toward EQ-5D-Y health states in Slovenia, taking on a perspective of a 10-year old child. The preferences were collected using a discrete-choice experiment. The additional file presents the DCE design and variables descriptions.
description: The data collection was co-funded by EuroQol Group (EQ Project no. 20180510).
DOI: 10.5281/zenodo.5084264
title: Dataset on adolescent preferences toward EQ-5D-Y in Slovenia

description: The dataset contains data of preferences, collected via DCE, toward EQ-5D-Y health states as expressed by adolescents for themselves with additional socio-demographic variables. An additional file is added with variables description.
description: The data collection was co-sponsored by EuroQol Group (EQ Project no. 20180510).
DOI: 10.5281/zenodo.5084263
title: Dataset on adolescent preferences toward EQ-5D-Y in Slovenia

description: The dataset contains data of preferences, collected via DCE, toward EQ-5D-Y health states as expressed by adolescents for themselves with additional socio-demographic variables. An additional file is added with variables description.
description: The data collection was co-sponsored by EuroQol Group (EQ Project no. 20180510).
DOI: 10.34740/kaggle/dsv/2405975
title: Ambulance Dataset
DOI: 10.5519/qd.lvkl6jnz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (8 records)
DOI: 10.5281/zenodo.5084389
title: Data from the tomato hydroponic experiment (Halbert et al. 2020)

description: Dataset from the tomato hydroponic experiment (Halbert-Howard et al. 2020) Title: "Evaluating recycling fertilizers for tomato cultivation in hydroponics, and their impact on greenhouse gas emissions" Link: https://link.springer.com/article/10.1007/s11356-020-10461-4 Data include: -tomato biomass (shoot, fruit, root), marketable fruit yield -shoot and fruit nutrient uptake and tissue concentration (macro and micro nutrients) -fruit sugar content -recycling rate/ amount of recycled nutrients from the recycling fertilizers
DOI: 10.5281/zenodo.5084388
title: Data from the tomato hydroponic experiment (Halbert et al. 2020)

description: Dataset from the tomato hydroponic experiment (Halbert-Howard et al. 2020) Title: "Evaluating recycling fertilizers for tomato cultivation in hydroponics, and their impact on greenhouse gas emissions" Link: https://link.springer.com/article/10.1007/s11356-020-10461-4 Data include: -tomato biomass (shoot, fruit, root), marketable fruit yield -shoot and fruit nutrient uptake and tissue concentration (macro and micro nutrients) -fruit sugar content -recycling rate/ amount of recycled nutrients from the recycling fertilizers
DOI: 10.5281/zenodo.168245
title: Staré katalogy Národní knihovny ČR 1777-1900

description: This dataset lists old alphabetical catalogues of the National Library of the Czech Republic created from 1777 to 1900. It is based on analysis of the volumes preserved and also on archival documents.
DOI: 10.5281/zenodo.666994
title: Staré katalogy Národní knihovny ČR 1777-1900

description: This dataset lists old alphabetical catalogues of the National Library of the Czech Republic created from 1777 to 1900. It is based on analysis of the volumes preserved and also on archival documents.
DOI: 10.6084/m9.figshare.14937915
title: Supplementary Material for: Enteral Feeding Strategies in Preterm Neonates ≤32 weeks Gestational Age: A Systematic Review and Network Meta-Analysis

description: <b><i>Introduction:</i></b> Critical aspects of time of feed initiation, advancement, and volume of feed increment in preterm neonates remain largely unanswered. <b><i>Methods:</i></b> Medline , Embase, CENTRAL and CINAHL were searched from inception until 25th September 2020. Network meta-analysis with the Bayesian approach was used. Randomized controlled trials (RCTs) evaluating preterm neonates ≤32 weeks were included. Feeding regimens were divided based on the following categories: initiation day: early (&lt;72 h), moderately early (72 h–7 days), and late (&gt;7 days); advancement day: early (&lt;72 h), moderately early (72 h–7 days), and late (&gt;7 days); increment volume: small volume (SV) (&lt;20 mL/kg/day), moderate volume (MoV) (20–&lt; 30 mL/kg/day), and large volume (≥30 mL/kg/day); and full enteral feeding from the first day. Sixteen regimens were evaluated. Combined outcome of necrotizing enterocolitis (NEC) stage ≥ II or mortality before discharge was the primary outcome. <b><i>Results:</i></b> A total of 39 studies enrolled around 6,982 neonates. Early initiation (EI) with moderately early or late advancement using MoV increment enteral feeding regimens appeared to be most efficacious in decreasing the risk of NEC or mortality when compared to EI and early advancement with SV increment (risk ratio [95% credible interval]: 0.39 [0.12, 0.95]; 0.34 [0.10, 0.86]) (GRADE–very low). <b><i>Conclusions:</i></b> Early initiated, moderately early, or late advanced with MoV increment feeding regimens might be most appropriate in decreasing the risk of NEC stage ≥II or mortality. In view of the certainty of evidence being very low, adequately powered RCTs evaluating these 2 strategies are warranted.
DOI: 10.25502/s5c1-rd47/d
title: Using moth capture in pheromone traps and damage incidence as decision tools for pesticide intervention (Season 1)
DOI: 10.6084/m9.figshare.14938002
title: Supplementary Material for: Comparative Microbial Profiles of Caries and Black Extrinsic Tooth Stain in Primary Dentition

description: Extrinsic black tooth stain (BS) is a common oral disease associated with lower caries experience in preschool children, although the microbiotic features contributing to the low risk of caries in this group remain elusive. In this study, we aimed at identifying the dominant bacteria in dental plaque to indicate the incidence of caries in the primary dentition. Subjects were divided into 3 groups based on the clinical examination: group CF, children without pigment who had no caries lesions or restorations (<i>n</i> = 18); group CS, children who were diagnosed with severe early childhood caries (<i>n</i> = 17); and group BS, children with pigment (black extrinsic stain) without caries or restorations (<i>n</i> = 15). The total microbial genomic DNA was extracted and subjected to bacterial 16S ribosomal RNA gene sequencing using an Illumina HiSeq platform. The differential dominant bacteria were determined using Wilcoxon rank-sum testing and linear discriminant analysis effect size (LEfSe). Co-occurrence network analysis was performed using sparse correlations for compositional data, calculation and functional features were predicted using PICRUSt. Interestingly, our results showed that the relative abundance of <i>Pseudopropionibacterium</i>, <i>Actinomyces</i>, <i>Rothia</i>, and <i>Cardiobacterium</i> was from high to low and that of <i>Porphyromonas</i> was low to high in the BS, CF, and CS groups, consistent with the clinical incidence of caries in the 3 groups. Moreover, an increased level of <i>Selenomonas_3</i>, <i>Fusobacterium</i>, and <i>Leptotrichia</i> was associated with high caries prevalence. We found that the interactions among genera in the BS and CS plaque communities are less complex than those in the CF communities at the taxon level. Functional features, including cofactor and vitamin metabolism, glycan biosynthesis and metabolism, and translation, significantly increased in caries plaque samples. These bacterial competition- and commensalism-induced changes in microbiota would result in a change of their symbiotic function, finally affecting the balance of oral microflora.