cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11743074
title: Metadata record for: Building fault detection data to aid diagnostic algorithm creation and performance testing

description: This dataset contains key characteristics about the data described in the Data Descriptor Building fault detection data to aid diagnostic algorithm creation and performance testing. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br><b><br></b>Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.11743032
title: Raw Data

description: Raw dataset to complement supplementary information.
DOI: 10.6084/m9.figshare.11743032.v1
title: Raw Data

description: Raw dataset to complement supplementary information.
DOI: 10.6084/m9.figshare.11743020
title: Proteome database of Clostridium botulinum AM1195

description: <i>Clostridium botulinum</i> is the causative agent of many human diseases ranging from food poisoning to infections of wound due largely to the potent neurotoxin, botulinum, that the rod-shaped anaerobic Gram-positive bacterium produces. As such, <i>C. botulinum</i> has attracted much research attention in defining ways for killing the endospores that the bacterium produces under harsh survival conditions as well as understanding its pathogenesis mechanisms. This work sought to provide fundamental proteomic information of this pathogen through parsing the UniProt proteome of <i>C. botulinum</i> AM1195 via an in-house MATLAB proteome analysis software. The resulting proteome database comprises protein name, amino acid sequence, number of residues, molecular weight and nucleotide sequence of protein. Overall, the proteome database of <i>C. botulinum</i> should serve as a useful resource for understanding the proteome repertoire of this pathogen as well as helping to guide experimental efforts (such as genome editing) in delineating its pathogenesis mechanisms. <br><br>
DOI: 10.6084/m9.figshare.11743074.v1
title: Metadata record for: Building fault detection data to aid diagnostic algorithm creation and performance testing

description: This dataset contains key characteristics about the data described in the Data Descriptor Building fault detection data to aid diagnostic algorithm creation and performance testing. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.11742975
title: Datasets accompanying the paper Bishop, J., Garratt, M.P., Breeze, T.D. 2020. Yield benefits of additional pollination to faba bean vary with cultivar, scale, yield parameter and experimental method. Scientific Reports. DOI: 10.1038/s41598-020-58518-1

description: See metadata pdf file and the methodology section in full paper, DOI: 10.1038/s41598-020-58518-1. <br>Abstract:<br>The benefits of insect pollination to crop yield are used to justify management decisions across agricultural landscapes but current methods for assessing these benefits may underestimate the importance of context. We quantify how the effects of simulated insect pollination vary between five faba bean cultivars, and to what extent this changes between years, scales, yield parameters, and experimental methods. We do this by measuring responses to standardised hand pollination treatments in controlled experiments in flight cages and in the field. Pollination treatments generally improved yield, but in some cases yield was lower with additional pollination. Pollination dependence varied with cultivar, ranging from 58% (loss in yield mass per plant without pollination) in one cultivar, to a lower yield with pollination in another (-51%). Pollination dependence also varied between flight cage and field experiments (-10% to 37% in the same cultivar and year), year (4 to 33%; same cultivar and yield parameter), and yield parameter (-4% to 46%; same cultivar and year). This variability highlights that to be robust, assessments of pollination benefits need to focus upon marketable crop outputs at a whole-plant or larger scale while including and accounting for the effects of different years, sites, methodologies and cultivars.
DOI: 10.6084/m9.figshare.11743020.v1
title: Proteome database of Clostridium botulinum AM1195

description: <i>Clostridium botulinum</i> is the causative agent of many human diseases ranging from food poisoning to infections of wound due largely to the potent neurotoxin, botulinum, that the rod-shaped anaerobic Gram-positive bacterium produces. As such, <i>C. botulinum</i> has attracted much research attention in defining ways for killing the endospores that the bacterium produces under harsh survival conditions as well as understanding its pathogenesis mechanisms. This work sought to provide fundamental proteomic information of this pathogen through parsing the UniProt proteome of <i>C. botulinum</i> AM1195 via an in-house MATLAB proteome analysis software. The resulting proteome database comprises protein name, amino acid sequence, number of residues, molecular weight and nucleotide sequence of protein. Overall, the proteome database of <i>C. botulinum</i> should serve as a useful resource for understanding the proteome repertoire of this pathogen as well as helping to guide experimental efforts (such as genome editing) in delineating its pathogenesis mechanisms. <br><br>
DOI: 10.6084/m9.figshare.11742873
title: Supplementary Material for: Comparison of Partial Hepatectomy and Transarterial Chemoembolization in Intermediate-Stage Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis

description: <b><i>Introduction:</i></b> According to the Barcelona Clinic Liver Cancer (BCLC) algorithm, transarterial chemoembolization (TACE) is recommended in patients with hepatocellular carcinoma (HCC) of intermediate stage (BCLC-B), whereas partial hepatectomy (PH) is restricted to early stage A. Expanding the indication for PH to intermediate stage remains debated. <b><i>Objective:</i></b> This meta-analysis aimed to analyze short- and long-term outcomes of PH compared to TACE in patients with intermediate-stage HCC. <b><i>Methods:</i></b> A meta-analysis was conducted according to PRISMA guidelines. Trials comparing PH with TACE in patients with intermediate-stage HCC were selected. Only patients of BCLC-B stage were included in the analyses. Primary endpoint was overall survival (OS) and secondary endpoint was 90-day postprocedural mortality. Random-effects models were used to analyze time ratios (TRs). <b><i>Results:</i></b> Seven eligible trials were analyzed, including 1,730 BCLC-B patients undergoing PH (<i>n</i> = 750) or TACE (<i>n</i> = 980). Comparison of OS between PH and TACE determined a pooled TR of 1.91 (95% CI 1.24–2.94; <i>p</i> &lt; 0.001). Survival rates at 1-, 3-, and 5-year were 85, 60, and 42% after PH, compared to 73, 60, and 20% after TACE (<i>p</i> &lt; 0.001). There was no difference in postprocedural mortality between PH and TACE with rates of 3.7 and 3.4%, respectively (TR 0.95; 95% CI 0.17–5.50; <i>p</i> = 0.879). <b><i>Conclusions:</i></b> In patients with intermediate HCC, PH was associated with increased long-term survival compared to TACE, with comparable postprocedural mortality. These results suggest considering PH as treatment option in intermediate HCC and highlight the urgent need to refine the selection of patients with BCLC-B stage who may benefit from PH.
DOI: 10.6084/m9.figshare.11742792
title: Analysing the cross-section of the AAA's neck and its effects on stent deployment - Data

description: The raw measurements taken from the study of 258 patients suffering from abdominal aortic aneurysm (AAA) are presented. 2 3D aortic angles along with 2 dimensional variables and 2 shape metrics for the aortic neck region are reported.
DOI: 10.25345/c53j1b
title: MassIVE MSV000086017 - SARS-CoV_2 Proteome_St-Germain-et-al_2020
title: The submitted files contain LC-MS data from trypsin-digested SARS-CoV-2 virion particles isolated from the supernatant and whole cell lysates of SARS-CoV-2-infected VeroE6 cells.
DOI: 10.6084/m9.figshare.11742093
title: Additional file 3 of Geothermal resource assessment of remote sedimentary basins with sparse data: lessons learned from Anticosti Island, Canada

description: Additional file 3. Local 1D sensitivity to thermal parameters.
DOI: 10.6084/m9.figshare.11742093.v1
title: Additional file 3 of Geothermal resource assessment of remote sedimentary basins with sparse data: lessons learned from Anticosti Island, Canada

description: Additional file 3. Local 1D sensitivity to thermal parameters.
DOI: 10.6084/m9.figshare.11742087
title: Additional file 1 of Comorbidity prevalence among cancer patients: a population-based cohort study of four cancers

description: Additional file 1. Definition of the fourteen conditions, according to ICD-10 code classification. Table of the fourteen conditions and the ICD-10 code groupings used to define them.
DOI: 10.6084/m9.figshare.11742087.v1
title: Additional file 1 of Comorbidity prevalence among cancer patients: a population-based cohort study of four cancers

description: Additional file 1. Definition of the fourteen conditions, according to ICD-10 code classification. Table of the fourteen conditions and the ICD-10 code groupings used to define them.
DOI: 10.6084/m9.figshare.11742078
title: Additional file 1 of Geothermal resource assessment of remote sedimentary basins with sparse data: lessons learned from Anticosti Island, Canada

description: Additional file 1. BHT dataset.
DOI: 10.6084/m9.figshare.11742078.v1
title: Additional file 1 of Geothermal resource assessment of remote sedimentary basins with sparse data: lessons learned from Anticosti Island, Canada

description: Additional file 1. BHT dataset.
DOI: 10.6084/m9.figshare.11741901
title: FLY ASH DATA.xlsx

description: The data file contains power plant operation parameters and fly ash Loss on Ignition (LoI) data obtained from unit I - Lakvijaya Power Plant, Sri Lanka from 17th January 2017 to 14th February 2017.
DOI: 10.6084/m9.figshare.11741847
title: Figure 4a, Supplementary Figure 8, 10 and 12

description: AEM electrolyzer data and voltammograms<br>
DOI: 10.6084/m9.figshare.11741847.v1
title: Figure 4a, Supplementary Figure 8 and 10

description: AEM electrolyzer data and voltammograms<br>
DOI: 10.6084/m9.figshare.11741847.v3
title: Figure 4a, Supplementary Figure 8, 10 and 12

description: AEM electrolyzer data and voltammograms<br>
DOI: 10.6084/m9.figshare.11741847.v2
title: Figure 4a, Supplementary Figure 8 and 10

description: AEM electrolyzer data and voltammograms<br>
DOI: 10.6084/m9.figshare.11741766
title: Figure 6 and Supplementary Figure 4

description: AEM electrolyzer degradation data<br>
DOI: 10.6084/m9.figshare.11741766.v1
title: Figure 6 and Supplementary Figure 4

description: AEM electrolyzer degradation data<br>
DOI: 10.26180/5e2f9beedb577
title: Data from: The influence of immune activation on thermal limits along a latitudinal cline

description: <b>When using this data please cite the original publication:</b><b><br></b><b><br></b><b>Files in this package:</b><b><br></b>Title: static_heat_data.csvDescription: Experiment 1: data from 39 degrees static heatshock assayFile contains:"dose" = the immune challenge ("H10" = high dose, "M9" = medium dose, "L8" = low dose, "PBS" = wounded, "CTRL" = unwounded controls)."assay_time" = time in hours between immune challenge and the assay ("3h", "6h", "12h" & "24h")."block_num" = experimental block"run_num" = experimental assay run"death_time" = knockdown time in minutes <br><br>Title: ramp_data.csvDescription: Experiment 1: data from two ramping thermal assays both starting at 25 degreesFile contains:"dose" = the immune challenge ("H10" = high dose, "M9" = medium dose, "L8" = low dose, "PBS" = wounded, "CTRL" = unwounded controls)."ramp_rate" = ramping rate of thermal assays ("0.1" & "0.06" degrees per minute)."block_num" = experimental block"run_num" = experimental assay run"ctmax" = CTmax (degrees) for each individual<br><br>Title: cold_data.csvDescription: Experiment 1: data from chill coma recovery assay. Recovery time at 25 degrees was measured after 5 hours exposure to zero degreesFile contains:"dose" = the immune challenge ("H10" = high dose, "M9" = medium dose, "L8" = low dose, "PBS" = wounded, "CTRL" = unwounded controls)."ramp_rate" = assay type "cold"."block_num" = experimental block"run_num" = experimental assay run"recovery time" = recovery time in minutes after being returned to 25 degrees <br>Title: immune_cline_data.csvDescription: Experiment 2: data from static heat shock at 39 degrees on individuals from 12 populations of Drosophila originating from along a latitudinal cline that were exposed to wounding or bacterial immune challenge.File contains: "population" = population ID's for the 12 populations"longitude" = longitudinal place of origin for each of the 12 populations of Drosophila (rounded to nearest integer)"treatment" = immune challenge treatment ("CTRL" = unwounded controls, "PBS" = wounded, "INF" = bacteria immune challenge)."gen_num" = Drosophila generation number used in experiment"run_num" = experimental assay run"block" = experimental block"death_time" = knockdown time in minutes in 39 degree heatshock assay"wounding_effect" = relative effect of wounding on knockdown time (only relevant for "PBS" treatment group)"immune_effect" = relative effect of bacterial immune challenge on knockdown time (only relevant for "INF" treatment group).
DOI: 10.6084/m9.figshare.11741703
title: Method Validation Data.xlsx

description: Data for method validation on detecting pmp-glucose by HPLC
DOI: 10.6084/m9.figshare.11741700
title: Method Development Data.xlsx

description: Data associated with the method development for detection of pmp-glucose by HPLC
DOI: 10.6084/m9.figshare.11741673.v1
title: Sampling bias study examining the influence of different methods for sampling plant-associated microbial communities

description: Sequence variant abundances from an Illumina Miseq run looking at 16S, 18S, and ITS2 data associated with common milkweed.
DOI: 10.6084/m9.figshare.11741667
title: Figure 4b.xlsx

description: AEM electrolyzer data<br>
DOI: 10.6084/m9.figshare.11741667.v1
title: Figure 4b.xlsx

description: AEM electrolyzer data<br>
DOI: 10.6084/m9.figshare.11741658
title: Figure 4a.xlsx

description: AEM electrolyzer data<br>
DOI: 10.6084/m9.figshare.11741673.v2
title: Sampling bias study examining the influence of different methods for sampling plant-associated microbial communities

description: Sequence variant abundances from an Illumina Miseq run looking at 16S, 18S, and ITS2 data associated with common milkweed.
DOI: 10.6084/m9.figshare.11741673.v3
title: Sampling bias study examining the influence of different methods for sampling plant-associated microbial communities

description: Sequence variant abundances from an Illumina Miseq run looking at 16S, 18S, and ITS2 data associated with common milkweed.
DOI: 10.6084/m9.figshare.11741655
title: Figure 2a and Supplementary Figure 1

description: Electrolyzer OER data<br>
DOI: 10.6084/m9.figshare.11741673.v4
title: Sampling bias study examining the influence of different methods for sampling plant-associated microbial communities

description: Sequence variant abundances from an Illumina Miseq run looking at 16S, 18S, and ITS2 data associated with common milkweed.
DOI: 10.6084/m9.figshare.11741655.v1
title: Figure 2a.xlsx

description: Electrolyzer OER data<br>
DOI: 10.6084/m9.figshare.11741655.v3
title: Figure 2a and Supplementary Figure 1

description: Electrolyzer OER data<br>
DOI: 10.6084/m9.figshare.11741673.v5
title: Sampling bias study examining the influence of different methods for sampling plant-associated microbial communities

description: Sequence variant abundances from an Illumina Miseq run looking at 16S, 18S, and ITS2 data associated with common milkweed.
DOI: 10.6084/m9.figshare.11741655.v2
title: Figure 2a.xlsx

description: Electrolyzer OER data<br>
DOI: 10.6084/m9.figshare.11741673.v6
title: Sampling bias study examining the influence of different methods for sampling plant-associated microbial communities

description: Sequence variant abundances from an Illumina Miseq run looking at 16S, 18S, and ITS2 data associated with common milkweed.
DOI: 10.6084/m9.figshare.11741652
title: Figure 5.xlsx

description: AEM electrolyzer data<br>
DOI: 10.6084/m9.figshare.11741649
title: Figure 2b.xlsx

description: HOR, HER of Pt<br>
DOI: 10.6084/m9.figshare.11741652.v1
title: Figure 5.xlsx

description: AEM electrolyzer data<br>
DOI: 10.6084/m9.figshare.11741649.v1
title: Figure 2b.xlsx

description: HOR, HER of Pt<br>
DOI: 10.6084/m9.figshare.11741619
title: Aqueous enzymatic protein and lipid release from Chlamydomonas reinhardtii - Dataset

description: Results from this dataset were used and described in the manuscript entitled: AQUEOUS ENZYMATIC PROTEIN AND LIPID RELEASE FROM THE MICROALGAE CHLAMYDOMONAS REINHARDTII
DOI: 10.6084/m9.figshare.11741604
title: Table_S2.xlsx

description: Supplementary Material (Tables S1-S10, Figures S1-S8) for Wilhite et al. 2020. Genome-wide association of ecologically-relevant traits in coastal Douglas-fir.All Tables and Figures detailed description can be found in File S1.
DOI: 10.6084/m9.figshare.11741619.v1
title: Aqueous enzymatic protein and lipid release from Chlamydomonas reinhardtii - Dataset

description: Results from this dataset were used and described in the manuscript entitled: AQUEOUS ENZYMATIC PROTEIN AND LIPID RELEASE FROM THE MICROALGAE CHLAMYDOMONAS REINHARDTII
DOI: 10.6084/m9.figshare.11741604.v1
title: Table_S2.xlsx

description: Supplementary Material (Tables S1-S10, Figures S1-S8) for Wilhite et al. 2020. Genome-wide association of ecologically-relevant traits in coastal Douglas-fir.All Tables and Figures detailed description can be found in File S1.
DOI: 10.6084/m9.figshare.11740296
title: File S1.pdf

description: File S1 contains the detailed description of all Supplementary Material Tables and Figures for Wilhite et al.2020 Genome-wide association of ecologically-relevant traits in coastal Douglas-fir.,
DOI: 10.6084/m9.figshare.11740296.v1
title: File S1.pdf

description: File S1 contains the detailed description of all Supplementary Material Tables and Figures for Wilhite et al.2020 Genome-wide association of ecologically-relevant traits in coastal Douglas-fir.,
DOI: 10.6084/m9.figshare.11740050
title: Model (C2VSIM) inputs and representative outputs; pre-processing and post-processing data and scripts, for analyses of the effect of managed aquifer recharge (MAR) in the Central Valley, California.

description: This package includes the representative data used in the analyses in the paper entitled "Can Managed Aquifer Recharge Mitigate the Groundwater Overdraft in California’s Central Valley? ", submitted by Sarfaraz Alam, Mekonnen Gebremichael, Ruopu Li, and Dennis P. Lettenmaier
DOI: 10.6084/m9.figshare.11740050.v3
title: Model (C2VSIM) inputs and representative outputs; pre-processing and post-processing data and scripts, for analyses of the effect of managed aquifer recharge (MAR) in the Central Valley, California.

description: This package includes the representative data used in the analyses in the paper entitled "Can Managed Aquifer Recharge Mitigate the Groundwater Overdraft in California’s Central Valley? ", submitted by Sarfaraz Alam, Mekonnen Gebremichael, Ruopu Li, and Dennis P. Lettenmaier
DOI: 10.6084/m9.figshare.11739507
title: PNSS.3

description: Data from simulation PNSS.3 from Almeida & Nemmen 2020
DOI: 10.6084/m9.figshare.11739507.v1
title: PNSS.3

description: Data from simulation PNSS.3 from Almeida & Nemmen 2020
DOI: 10.6084/m9.figshare.11739459
title: Soil respiration dataset from a temperate mix forest (James San Jacinto Mountain Reserve)

description: Dataset of soil CO<sub>2</sub> efflux from a temperate mix forest. Includes information from January 2006 to December 2008. Soil CO<sub>2</sub> efflux was measured using the "gradient method" where soil CO<sub>2</sub> concentrations were measured in conjunction with soil temperature and soil moisture. The study was conducted at the University of California James San Jacinto Mountain Reserve, a UC Natural Reserve System field station. The Reserve is a mixed conifer-oak forest at 1640m.a.s.l. located in the San Jacinto Mountains, CA, USA (33<sup>0</sup>48<sup>'</sup>30<sup>''</sup>N, 116<sup>0</sup>46<sup>'</sup>40<sup>''</sup>W). For more details see:<br> Vargas, R. and Allen, M.F., 2008. https://doi.org/10.1111/j.1469-8137.2008.02481.x<br> Vargas et al, 2010. https://doi.org/10.1111/j.1365-2486.2009.02111.x
DOI: 10.6084/m9.figshare.11737092
title: Raw data of ASKCOS synthesizability tests

description: The raw data of synthetic pathway analysis of molecules from generative models. The data is stored in json format. More detailed description can be found in https://github.com/wenhao-gao/askcos_synthesizability.
DOI: 10.6084/m9.figshare.11737092.v1
title: Raw data of ASKCOS synthesizability tests

description: The raw data of synthetic pathway analysis of molecules from generative models. The data is stored in json format. More detailed description can be found in https://github.com/wenhao-gao/askcos_synthesizability.
DOI: 10.6084/m9.figshare.11734593
title: Datasets Micó et al 2020

description: Datasets generated and analyzed in Micó et al (2020). Contrasting functional structure of saproxylic beetle assemblages associated to different microhabitats. Scientitic Reports. Files include:-The distribution of traps used in the analysis, where "Type" correspond to the kind of assemblage studied (E= emergence trap; W= window trap), and "Habitat" correspond to each of the 3 studied areas. <br>-The species distribution on each trap-The traits measurements of the species used in the analysis.<br><br>
DOI: 10.6084/m9.figshare.11734593.v1
title: Datasets Micó et al 2020

description: Datasets generated and analyzed in Micó et al (2020). Contrasting functional structure of saproxylic beetle assemblages associated to different microhabitats. Scientitic Reports. Files include:-The distribution of traps used in the analysis, where "Type" correspond to the kind of assemblage studied (E= emergence trap; W= window trap), and "Habitat" correspond to each of the 3 studied areas. <br>-The species distribution on each trap-The traits measurements of the species used in the analysis.<br><br>
DOI: 10.6084/m9.figshare.11734581
title: SHA256 CHECK SUM

description: SHA256 CHECK SUM
DOI: 10.6084/m9.figshare.11734578
title: Dataset_Fnusa

description: Dataset_Fnusa
DOI: 10.6084/m9.figshare.11734575
title: Dataset_Mayo

description: Dataset_Mayo
DOI: 10.6084/m9.figshare.11734572
title: Matlab Reading Function Example

description: Matlab Reading Function Example