cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4247894
title: Data and statistical analysis scripts for manuscript on high-throughput phenotyping of root economics in wheat

description: This repository contains the root data, GEMMA files, and R code for generating the statistics and figures used in a preprint describing high-throughput phenotyping of root respiration in winter wheat. <strong>Functional phenomics and genetics of the root economics space in winter wheat using high-throughput phenotyping of respiration and architecture</strong> Haichao Guo, Habtamu Ayalew, Anand Seethepalli, Kundan Dhakal, Marcus Griffiths, Xue-Feng Ma, Larry M. York bioRxiv 2020.11.12.380238; doi: https://doi.org/10.1101/2020.11.12.380238 <strong>analysis.R - </strong>A script for processing the included 4 CSV<em> </em>files of collected data. It is intended to run directly in RStudio and will automatically set the working directory in that case. The GEMMA folder includes files as output from GEMMA for genetic analysis, as described in the methods section of the preprint. These files are required by the R code for making Manhattan plots and other output. It will automatically create an output folder and the output text and figure files. The protocol for the respiration measurements are available in a separate Zenodo repository: https://doi.org/10.5281/zenodo.4247873 Please cite this repository and the preprint if any data or R code is used in your work.
DOI: 10.5281/zenodo.4596692
title: Effects of plant diversity and community age on soil microbial communities

description: This record contains supplementary information for the article "Effects of plant diversity and community age on soil microbial communities". <strong>SI_tab_1_annotation.ods:</strong> Taxonomic annotations of the operational taxonomic unit (OTU) identified in the study. <strong>SI_tab_2_counts.ods:</strong> Number of reads per OTU and sample. <strong>SI_tab_3_enrichment.ods:</strong> The table contains all phyla tested for enrichment/depletion in sets of differentially abundant OTUs. "Contrast" indicates the differential expression contrast. "Observed" corresponds to the number of OTUs annotated with a given phyla in the set of differentially abundant OTUs. "Expected" gives the number of OTUs which would be expected to be annotated with a given phyla if the test set were randomly sampled from the reference set. <strong>SI_tab_4_anova_indices_legumes.ods:</strong> Analysis of variance of microbial richness (number of OTUs), effective richness (exp(Shannon Index)) and Pielou’s evenness. Contrasts among soil-legacy treatments and their interactions are indented. isMonoculture: a contrast to compare plant monocultures to plant species mixtures, logSR: log2 of plant species richness, hasLegumes: contrast for presence/absence of legumes, SL: soil legacy, AGE: new soil compared to the two other soils, INO: inoculated compared to native soil, PA: plant community age. <strong>SI_tab_5_permanova_unifrac_grasses.ods:</strong> Multivariate analysis of variance of dissimilarities between microbial communities. Contrasts among soil-legacy treatments and their interactions are indented. MS refers to the mean squares of the dissimilarity measure (Unifrac distances). isMonoculture: a contrast to compare plant monocultures to plant species mixtures, logSR: log2 of plant species richness, hasGrass: contrast for presence/absence of grasses, SL: soil legacy, AGE: new soil compared to the two other soils, INO: inoculated compared to native soil, PA: plant community age. <strong>SI_tab_6_permanova_legumes.ods:</strong> Top: As S5, but with Manhattan distances of log2(x+1) transformed sequence counts instead of unifrac distances. Bottom: As S5 but with legumes instead of grasses. <strong>SI_tab_7_soilChemistry_grasses.ods:</strong> Analysis of variance of soil chemistry. isMonoculture: a contrast to compare plant monocultures to plant species mixtures, logSR: log2 of plant species richness, hasGrasses: contrast for presence/absence of grasses, SL: soil legacy, AGE: new soil compared to the two other soils, INO: inoculated compared to native soil, PA: plant community age. <strong>SI_file_1_16S_otu_sequences.fa.gz</strong>: 16S-OTUs sequences in fasta format, gz compressed. <strong>SI_file_2_ITS_otu_sequences.fa.gz</strong>: ITS-OTUs sequences in fasta format, gz compressed.
DOI: 10.5281/zenodo.7732689
title: High spatial resolution satellite images for glacier outlines

description: Two RapidEye satellite images acquired on Sep 13, 2013 and Sep 17, 2018. The two satellite images have a high spatial resolution of 5 m × 5 m and were used to derive the outlines of the Parlung No. 94 Glacier in years 2013 and 2018, respectively. The GaoFen-7 (GF-7) satellite image with a high spatial resolution of 3 m × 3 m acquired on Feb 26, 2021 was used to derive the outlines of the Dongkemadi Glacier in 2021
DOI: 10.6080/k0td9v7f
title: Eye-tracking data from human volunteers watching complex video stimuli.
title: CRCNS.org eye-1

description: This freely shared dataset consists of a body of 520 human eye-tracking data traces obtained while normal,
                young adult human volunteers freely watched complex video stimuli (TV programs, outdoors videos, video games).
                The dataset comprises eye movement recordings from eight distinct subjects watching 50 different video clips
                (~25 minutes of total playtime) and from another eight subjects watching the same set of video clips after
                scrambling them into randomly re-ordered sets of 1-3s clippets.
DOI: 10.6084/m9.figshare.22130228.v2
title: Clopidogrel Responsiveness

description: Current smokers had a good response to clopidogrel therapy which exerted a beneficial effect when undergoing PCI as compared to non-smokers. The marked difference in AUC between smokers and non-smokers could be related to the variance in hemoglobin level. The smokers’ paradox needs further justification to confirm this concept.
DOI: 10.25828/6n0m-7m52
title: South African Census Community Profiles 2011
DOI: 10.6084/m9.figshare.23706495
title: The modified Fortran codes within the CLM5-LCZs, surface and observational datasets used to run and evaluate this model

description: land-use data for the simulations of CLM5-LCZs
DOI: 10.6084/m9.figshare.7011743
title: A Transcription of Robert Boyle's Weather Diary 1684-6

description: This fileset contains a digital transcription of the weather observations contained in MS 190 fols. 146-66 (ref no. RB/2/21/11) kept at the archives of the Royal Society of London. A correction of the instrumental observations to modern standards is also provided. These observations appear to have been taken at Robert Boyle's laboratory at Pall Mall in London, and were written by Boyle's assistant Hugh Greg. These data are described in a paper in the journal 'Weather' ( https://doi.org/10.1002/wea.3531)<br>
DOI: 10.6084/m9.figshare.12323732.v1
title: Single particle diffusion in anisotropic MHD turbulence

description: This is ASCII data for Figure 1 from Pratt, Busse, Mueller 2020<br>"Lagrangian Statistics for Dispersion in Magnetohydrodynamic<br>Turbulence".<br><br>The figure shows the evolution of mean-square distance from the initial<br>position for three simulations (HNOVIS: incompressible isotropic<br>hydrodynamic turbulence, ANOVIS0: isotropic magnetohydrodynamic<br>turbulence, and ANOVIS3: anisotropic magnetohydrodynamic turbulence). The<br>mean-square distance for the anisotropic MHD simulation ANOVIS3 is<br>separated into distances parallel and perpendicular to the mean magnetic<br>field. Each curve is produced from the average of at least 4<br>independent initial times
DOI: 10.6084/m9.figshare.12323771.v1
title: Two-particle dispersion in anisotropic MHD turbulence

description: This is ASCII data for Figure 3 from Pratt, Busse, Mueller 2020<br>"Lagrangian Statistics for Dispersion in Magnetohydrodynamic<br>Turbulence". The time values are provided with Figure 1.<br><br>The figure shows the evolution of the mean-square relative dispersion in<br>homogeneous isotropic Navier-Stokes turbulence (simulation HNOVIS),<br>homogeneous isotropic MHD turbulence (simulation ANOVIS0), and<br>homogeneous anisotropic MHD turbulence (simulation ANOVIS3). The<br>behavior for pairs with an initial separation of 2 eta_kol<br>is shown (a) for particles initially separated in the direction<br>perpendicular to the mean magnetic field and separation distance<br>perpendicular to the field measured, and (b) for particles initially<br>separated in the direction parallel to the mean magnetic field,<br>separation distance aligned with the mean magnetic field is measured.<br><br>
DOI: 10.6084/m9.figshare.12323813.v1
title: Maximal ray for a droplet of many particles dispersing in anisotropic MHD turbulence

description: This is ASCII data for Figure 5 from Pratt, Busse, Mueller 2020<br>"Lagrangian Statistics for Dispersion in Magnetohydrodynamic<br>Turbulence".<br><br>The figure shows the mean-square maximal ray r of the convex hulls of droplets in three simulations (HPUFF: incompressible isotropic hydrodynamic<br>turbulence, APUFF0: isotropic magnetohydrodynamic turbulence, and<br>APUFF3: anisotropic magnetohydrodynamic turbulence). Droplets with (a) an<br>initial diameter of 4 eta_kol, and (b) an initial diameter<br>of 14 eta_kol.<br><br>
DOI: 10.6084/m9.figshare.12323822.v1
title: Average anisotropy ratio for anisotropic MHD turbulence

description: This is ASCII data for Figure 6 from Pratt, Busse, Mueller 2020 "Lagrangian Statistics for Dispersion in Magnetohydrodynamic Turbulence". Time data is included with Figure 5.<br><br>The figure shows the average anisotropy ratio for three simulations (HPUFF: incompressible isotropic hydrodynamic turbulence, APUFF0: isotropic magnetohydrodynamic turbulence, and APUFF3: anisotropic magnetohydrodynamic turbulence). Plot (a) shows the average anisotropy ratio for droplets with an initial diameter of 4 eta_kol. Plot (b) shows the average anisotropy ratio for droplets with an initial diameter of 14 eta_kol. The density of particles in both sizes of droplet is the same. A shaded area indicating one standard deviation above and below each line is provided.<br>
DOI: 10.6084/m9.figshare.21401793.v1
title: Family group structure of the endangered Yellow Cardinal Gubernatrix cristata_data

description: <strong>Family group structure of the endangered Yellow Cardinal </strong><em><strong>Gubernatrix cristata</strong></em> <br> During the 2020-2021 breeding season we carried out 280 bird surveys to search for the presence of Yellow Cardinals in La Pampa province, Argentina
DOI: 10.6084/m9.figshare.21679421
title: Supplementary Material for: Effects of a 2-year early childhood vitamin D3 intervention on tooth enamel and oral health at age 6-7 years

description: Introduction: The aim of the study was to compare the effects of a 30 µg/day vs 10 µg/day vitamin D supplementation, given during the two first years of life, on oral health at the age of six to seven years. Methods: In 2013-2016, we conducted a randomized, double-blinded, clinical trial from age 2 weeks to 2 years of daily vitamin D3 supplementation (10 vs 30 µg), including 975 healthy infants. For the present follow-up study at age 6-7 years, a sample of 123 children underwent oral examination by investigators blinded to the intervention group. Tooth enamel defect and caries findings, oral rinse active matrix metalloproteinase-8 levels, and tooth eruption were recorded. The intervention groups were compared with chi-square and Mann Whitney U tests. Associations of the oral health outcomes were evaluated with correlation analysis and logistic regression. Results: Of the children (median age 7.4 years, 51% boys), 56% belonged to the 30 µg intervention group. Developmental defect of enamel (DDE) was found in 39% of the children in the 10 µg intervention group and in 53% of the 30 µg group (p = 0.104). In total, 94% of children were vitamin D sufficient (25(OH)D ≥50 nmol/l) and 88% had caries-free teeth. No associations were found between vitamin D intervention group in infancy and oral health or the presence of DDE. Conclusion: Daily supplementation with 10 µg vitamin D3 in the Northern Hemisphere seems adequate in healthy children younger than 2 years in ensuring good oral health at early school age. Trial registration: ClinicalTrials.gov (NCT04302987)
DOI: 10.6084/m9.figshare.22839482
title: Supplementary Material for: A clinical learning curve study of polydimethylsiloxane Urolastic for stress urinary incontinence: does safety improve when expertise grow?

description: Objectives To characterize the learning curve of bulk injection therapy PDMS-U for SUI. Design Secondary analysis from three clinical studies on efficacy and safety outcomes of PDMS-U. Participants/Materials, Setting, Methods PDMS-U certified physicians who performed ≥4 procedures were included. The primary outcome was the number of PDMS-U procedures needed to achieve acceptable failure rates for ‘complications overall’, ‘urinary retention’ and ‘excision’, using the LC-CUSUM method. For the primary outcome, physicians who performed ≥ 20 procedures were used. For the secondary outcome, logistic and linear regression analysis was used to assess the relationship between number of procedures, complications (complications overall, urinary retention, pain, exposure, excision of PDSM-U) and duration of treatment. Results In total, 203 PDMS-U procedures were performed by nine physicians. Five physicians were used for the primary outcome. For ‘complications overall’, ‘urinary retention’ and ‘excision’, two physicians reached a level of competence: one at procedure 20 and one at procedure 40. The secondary outcome showed no statistically significant association between procedure number and complications. There was a statistically significant increase in the duration of treatment with more physician experience (mean difference 0.83 minutes per 10 additional procedures, 95%CI 0.16 to 1.48). Limitations One limitation is that retrospectively collected data might have underreported the number of complications. Secondly, there was variation in the way the technique was applied between physicians. Conclusions Physicians’ experience in the PDMS-U procedure did not influence safety outcomes. There was large inter-physician variability and most physicians did not reach acceptable failure rates. There was no relationship between PDMS-U complications and the number of performed procedures.
DOI: 10.5281/zenodo.7940855
title: H2020 ENODISE: UTWE Configuration A Experimental Databases

description: This database contains the datasets for the aeroacoustic experiments conducted at the University of Twente on the H2020 ENODISE project, Task 3.1, Configuration A1 - Wall mounted. Configuration A1 consists of a propeller ingesting a zero-pressure-gradient boundary layer. Far-field acoustics are measured using two microphone arrays, to assess directivity and sound pressure levels. Near-field measurements consist of surface static pressure and pressure fluctuations. Propeller force and torque is measured using a load cell. Flow-field measurements are obtained through hotwire anemometry. This forms part of Deliverable D3.3, see report for further information regarding measurement techniques. Included are descriptive READMEs. The data is in the HDF5 format and comprises mean, spectral, and other processed data types in engineering units.
description: v1.1.0 - Added CAD files
DOI: 10.5281/zenodo.8296736
title: H2020 ENODISE: UTWE Configuration A Experimental Databases

description: This database contains the datasets for the aeroacoustic experiments conducted at the University of Twente on the H2020 ENODISE project, Task 3.1, Configuration A1 - Wall mounted. Configuration A1 consists of a propeller ingesting a zero-pressure-gradient boundary layer. Far-field acoustics are measured using two microphone arrays, to assess directivity and sound pressure levels. Near-field measurements consist of surface static pressure and pressure fluctuations. Propeller force and torque is measured using a load cell. Flow-field measurements are obtained through hotwire anemometry. This forms part of Deliverable D3.3, see report for further information regarding measurement techniques. Included are descriptive READMEs. The data is in the HDF5 format and comprises mean, spectral, and other processed data types in engineering units.
description: v1.1.0 - Added CAD files
DOI: 10.5281/zenodo.7660586
title: Stability and cooling of the C_7^2- dianion

description: The files found here are text files with data related to the article: "Stability and cooling of the C_7^2- dianion" to published in Physical Review Letters (2023). The files contain the information necessary to reproduce all figures containing data from the experiment or from the described calculations. Each file contains a header explaining the data sets which follow.
DOI: 10.5281/zenodo.8275569
title: ELITE land surface temperature: Landsat LST over China (2005.1)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over China generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity . Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 5 in January 2005. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 5 in July 2005. <strong>Dataset Characteristics:</strong> Spatial Coverage: China Temporal Coverage: 2005.1 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8275568
title: ELITE land surface temperature: Landsat LST over China (2005.1)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over China generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity . Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 5 in January 2005. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 5 in July 2005. <strong>Dataset Characteristics:</strong> Spatial Coverage: China Temporal Coverage: 2005.1 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8275573
title: ELITE land surface temperature: Landsat LST over China (2005.7)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over China generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity . Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 5 in July 2005. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 5 in January 2005. <strong>Dataset Characteristics:</strong> Spatial Coverage: China Temporal Coverage: 2005.7 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).