cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25451/flinders.22268722.v2
title: Phage genome locations and statistics

description: The presence of prophages in bacterial genomes. <br> This file has these columns: 0. GENOMEID - Genbank genome assembly accession 1. Genome Name - Definition of the genome in the genbank file 2. Contigs &gt; 5kb - Number of contigs longer than 5 kb (only these were used to predict prophages) 3. Genome Contigs - Total number of contigs in the genome 4. Number of Coding Sequences - Total number of coding sequences in the genome 5. Too short - Number of phage predictions that were too short (less than 5 genes in the prediction) 6. Not enough phage hits - Number of phage predictions that did not have a single HMM match to VOGdb version 99 7. Kept - Number of high quality prophage predictions 8. Note - Outcome of the computation. You should read this column, especially if the sum of prophage predictions is zero
DOI: 10.6084/m9.figshare.22299676
title: Berkshire Litter size

description: related Berkshire litter size additional table
DOI: 10.6084/m9.figshare.22299676.v1
title: Berkshire Litter size

description: related Berkshire litter size additional table
DOI: 10.25451/flinders.22299661.v1
title: genome_lengths_20220601.tsv.gz

description: A summary of the bacterial genomes used in the prophage analysis. This file contains the columns GENOMEID, Number of Contigs, Total Length (bp), Shortest Contig (bp),Longest Contig (bp) separated by tabs
DOI: 10.25451/flinders.22299658.v1
title: GTDB_Additional_Taxonomies.tsv.gz

description: Additional GTDB Taxonomies were created for the analysis of prophages.
DOI: 10.25451/flinders.22299655.v1
title: PATRIC_Metadata_20220601.tsv.gz

description: A copy of the PATRIC Metadata used in the analysis of bacterial genomes. This metadata was downloaded on 1st June 2022.
DOI: 10.34740/kaggle/dsv/5191953
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.6084/m9.figshare.22299679
title: The Database of Predictive Targets of miRNA let-7b.zip

description: We filtered let-7b binding sites in the 3'UTRs of transcripts encoding proteins involved in fibrogenesis in Mø using online RNA databases. Briefly, we intersected the top 100 most reliable target genes from the miRNA target prediction websites (TargetScan, miRDB and miRBase) and then selected the genes most likely to be associated with fibrosis in macrophages for verification.
DOI: 10.5281/zenodo.7478226
title: Data From: B1 Field inhomogeneity correction for qDESS T2 mapping: application to rapid bilateral knee imaging

description: <strong>Purpose</strong>: T2 mapping is a powerful tool for studying osteoarthritis (OA) changes and bilateral imaging may be useful in investigating the role of between-knee asymmetry in OA onset and progression. The quantitative double-echo in steady-state (qDESS) can provide fast simultaneous bilateral knee T2 and high-resolution morphometry for cartilage and meniscus.<br> The qDESS uses an analytical signal model to compute T2 relaxometry maps, which require knowledge of the flip angle (FA). <br> In the presence of B1 inhomogeneities, inconsistencies between the nominal and actual FA can affect the accuracy of T2 measurements.<br> We propose a pixel-wise B1 correction method for qDESS T2 mapping exploiting an auxiliary B1 map to compute the actual FA used in the model.<br> <br> <strong>Methods</strong>: The technique was validated in a phantom and in vivo with simultaneous bilateral knee imaging. <br> T2 measurements of femoral cartilage (FC) of both knees of six healthy participants were repeated longitudinally to investigate the association between T2 variation and B1. <strong>Results</strong>: The results showed that applying the B1 correction mitigated T2 variations that were driven by B1 inhomogeneities. <br> Specifically, T2 left-right symmetry increased following the B1 correction (rc = 0.74 &gt; rc = 0.69). Without the B1 correction, T2 values showed a linear dependence with B1. The linear coefficient decreased using the B1 correction (from 24.3 \(\pm\) 1.6 ms to 4.1 \(\pm\) 1.8) and the correlation was not statistically significant after the application of the Bonferroni correction (p-value &gt; 0.01).<br> <br> <strong>Conclusion</strong>: the study showed that B1 correction could mitigate variations driven by the sensitivity of the qDESS T2 mapping method to B1, therefore increasing the sensitivity to detect real biological changes. The proposed method may improve the robustness of bilateral qDESS T2 mapping, allowing for an accurate and more efficient evaluation of OA pathways and pathophysiology through longitudinal and cross-sectional studies. <strong>This repository contains the raw data for reproducing the results reported in the paper. The data are provided in NIFTI format.</strong>
DOI: 10.5281/zenodo.7748732
title: MUSES Leaf Area Index (LAI) Monthly Global 500m SIN Grid in 2008

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 500m spatial resolution and monthly temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2008. Please <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2007</strong></em><strong>, </strong>and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2009</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2008 Spatial Resolution: 500m Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7748731
title: MUSES Leaf Area Index (LAI) Monthly Global 500m SIN Grid in 2008

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 500m spatial resolution and monthly temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2008. Please <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2007</strong></em><strong>, </strong>and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2009</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2008 Spatial Resolution: 500m Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.34740/kaggle/dsv/5192044
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.5517/ccdc.csd.cc2dcmm1
title: CCDC 2215713: Experimental Crystal Structure Determination

description: Related Article: Shangbiao Feng, Baoseng Zhang, Chunwang Luo, Yang Liu, Shuangfei Zhu, Ruijun Gou, Shuhai Zhang, Ping Yin, Siping Pang|2023|Org.Lett.|25|1290|doi:10.1021/acs.orglett.3c00149
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dldxb
title: CCDC 2222232: Experimental Crystal Structure Determination

description: Related Article: Zhen Dong, Guofeng Zhang, Yaxin Liu, Yongbin Zou, Xue Hao, Huaqi Zhang, Zhiwen Ye|2023|J.Mol.Struct.|1283|135274|doi:10.1016/j.molstruc.2023.135274
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dldyc
title: CCDC 2222233: Experimental Crystal Structure Determination

description: Related Article: Zhen Dong, Guofeng Zhang, Yaxin Liu, Yongbin Zou, Xue Hao, Huaqi Zhang, Zhiwen Ye|2023|J.Mol.Struct.|1283|135274|doi:10.1016/j.molstruc.2023.135274
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d98vv
title: CCDC 2213457: Experimental Crystal Structure Determination

description: Related Article: Yi-Lun Wang, Yan-Lan Wu, Qing-Xin Zeng, Xin-Xiong Li, Shou-Tian Zheng|2023|J.Solid State Chem.|322|123943|doi:10.1016/j.jssc.2023.123943
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d98ss
title: CCDC 2213455: Experimental Crystal Structure Determination

description: Related Article: Yi-Lun Wang, Yan-Lan Wu, Qing-Xin Zeng, Xin-Xiong Li, Shou-Tian Zheng|2023|J.Solid State Chem.|322|123943|doi:10.1016/j.jssc.2023.123943
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dy4l3
title: CCDC 2232545: Experimental Crystal Structure Determination

description: Related Article: Fuwei Gan, Chengshuo Shen, Wenying Cui, Huibin Qiu|2023|J.Am.Chem.Soc.|145|5952|doi:10.1021/jacs.2c13823
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dy4m4
title: CCDC 2232546: Experimental Crystal Structure Determination

description: Related Article: Fuwei Gan, Chengshuo Shen, Wenying Cui, Huibin Qiu|2023|J.Am.Chem.Soc.|145|5952|doi:10.1021/jacs.2c13823
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dy4n5
title: CCDC 2232547: Experimental Crystal Structure Determination

description: Related Article: Fuwei Gan, Chengshuo Shen, Wenying Cui, Huibin Qiu|2023|J.Am.Chem.Soc.|145|5952|doi:10.1021/jacs.2c13823
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dy4p6
title: CCDC 2232548: Experimental Crystal Structure Determination

description: Related Article: Fuwei Gan, Chengshuo Shen, Wenying Cui, Huibin Qiu|2023|J.Am.Chem.Soc.|145|5952|doi:10.1021/jacs.2c13823
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dy4r8
title: CCDC 2232550: Experimental Crystal Structure Determination

description: Related Article: Fuwei Gan, Chengshuo Shen, Wenying Cui, Huibin Qiu|2023|J.Am.Chem.Soc.|145|5952|doi:10.1021/jacs.2c13823
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dy4s9
title: CCDC 2232551: Experimental Crystal Structure Determination

description: Related Article: Fuwei Gan, Chengshuo Shen, Wenying Cui, Huibin Qiu|2023|J.Am.Chem.Soc.|145|5952|doi:10.1021/jacs.2c13823
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f7s6p
title: CCDC 2241802: Experimental Crystal Structure Determination

description: Related Article: Zhiping Che, Xiaolong Guo, Xiaobo Huang, Tiewei Wang, Lin Zhou, Shengming Liu, Genqiang Chen, Yuee Tian|2023|J.Mol.Struct.|1283|135260|doi:10.1016/j.molstruc.2023.135260
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f7n8m
title: CCDC 2241680: Experimental Crystal Structure Determination

description: Related Article: Zhiping Che, Xiaolong Guo, Xiaobo Huang, Tiewei Wang, Lin Zhou, Shengming Liu, Genqiang Chen, Yuee Tian|2023|J.Mol.Struct.|1283|135260|doi:10.1016/j.molstruc.2023.135260
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.22197646
title: Supplemental materials.docx

description: grlfile
DOI: 10.6084/m9.figshare.22197646.v2
title: Supplemental materials.docx

description: grlfile
DOI: 10.6084/m9.figshare.22197646.v1
title: Supplemental materials.docx

description: grlfile
DOI: 10.21227/bve8-s715
title: Validation of Torso-Dynamics Estimation System (TES) for Hands-Free Physical Human-Robot Interaction

description: This data was collected during a validation study of our Torso-Dynamics Estimation System (TES).
DOI: 10.25959/9qnm-jf30
title: The Petrogenesis of the East Tasmania Terrane Devonian Granites. Appendix 5.2 CL images of quartz mounts

description: The cathodoluminesence (CL) imaging of quartz mineral isolates in epoxy mounts from 12 Tasmanian Devonian granites are presented. These images were used to choose spots for analysis of O isotopes by ion microprobe and element concentrations by electron microprobe. The spots of the ion microprobe are arrowed and the electron microprobe spots were close to these spots. CL dark and light areas were selected in each magmatic grain studied.
DOI: 10.25451/flinders.22299664.v1
title: assembly_summary_20220601.txt.gz

description: An archive of the NCBI Bacterial Genome Assembly Summary file from 1st June 2022 used for the prediction of prophages
DOI: 10.5066/p9lylgef
title: Charcoal data from four sites in Great Dismal Swamp National Wildlife Refuge - August 2022

description: Charcoal counts and radiocarbon dates from four sediment cores collected in Great Dismal Swamp in 2017 and 2018 were incorporated into a synthesis of charcoal records from northern hemisphere peatlands (Sims et al., in review). Macroscopic charcoal was counted in three size classes: 125-250 micrometers, and 250-500 micrometers, and &gt;500 micrometers. Uncalibrated radiocarbon dates were obtained and provided for use in development of age models for analyses by Sims et al., in review).
DOI: 10.5066/p9qnjshz
title: Hawai?i Island Survival of Ceratocystis in Frass 2019-2020

description: This data release includes data and metadata used in the estimation of Ceratocystis lukuohia survival in ambrosia beetle frass under various temperature and humidity conditions on Hawai?i Island. Data were used in the analysis of the manuscript, "Ceratocystis lukuohia-infested ambrosia beetle frass as inoculum for Ceratocystis wilt of Metrosideros polymorpha." Frass was exposed at two locations including Volcano and Hilo, as well as a control incubator and frass was tested for viable C. lukuohia propagules through a carrot baiting technique over time.
DOI: 10.5066/p9j7h3lb
title: Per- and Polyfluoroalkyl Substance Concentrations, Age Estimates, Redox Categories, and Related Data for Groundwater from the Great Miami Buried-Valley Aquifer, Southwestern Ohio, 2019&amp;amp;amp;ndash;20

description: This data release presents results of chemical analyses of groundwater sampled during summer and autumn of 2019 and spring of 2020 from 23 wells in the Great Miami buried-valley aquifer (GM-BVA) of southwestern Ohio. Groundwater and quality-control samples were analyzed to determine concentrations of selected per- and polyfluoroalkyl substances (PFAS). Groundwater and related quality-control samples were collected from 22 of 23 wells and analyzed for 24 different PFAS by two different laboratories that used slightly different proprietary isotope-dilution based adaptations of U.S. Environmental Protection Agency (USEPA) method 537.1, referred to as method 1 and method 2. Results from PFAS analysis of groundwater samples and quality-control samples, including sequential replicate samples and field blanks are presented in this data release. Reporting and detection limits for analyses of individual PFAS and recovery data for isotopically labeled surrogate compounds added to each sample by the analyzing laboratory, are also included in the data release. The GM-BVA is a glacial outwash and alluvial fill aquifer that is the sole source of water supply for much of the region. The study was performed by the U.S. Geological Survey, in cooperation with the Miami Conservancy District, Dayton, Ohio. This data release includes details of the sampled wells, tritium-helium-3 and tritium-based estimates of groundwater age from prior (1999 and 2000) and current (2019-2020) groundwater samples, and redox (reduction/oxidation) classifications and related water-quality constituent concentrations from groundwater samples collected in 1999, 2000, 2019 and 2020 from the same wells sampled by this effort for PFAS. Field groundwater-quality parameters measured from the sampled wells in 1999–2000 and in 2019–2020 groundwater sample collection are also presented.
DOI: 10.6084/m9.figshare.22299760
title: zFAlFF map in losrtan group of Discorvery sample.

description: zFAlFF map in losrtan group of Discorvery sample
DOI: 10.6084/m9.figshare.22299760.v1
title: zFAlFF map in losrtan group of Discorvery sample.

description: zFAlFF map in losrtan group of Discorvery sample
DOI: 10.6084/m9.figshare.22299841
title: ZFAlFF map in placebo group of Discovery sample

description: ZFAlFF map in placebo group of Discovery sample
DOI: 10.6084/m9.figshare.22299841.v1
title: ZFAlFF map in placebo group of Discovery sample

description: ZFAlFF map in placebo group of Discovery sample
DOI: 10.57967/hf/0455
title: GuanacoDataset
DOI: 10.6084/m9.figshare.22299853
title: ZFAlFF map in placebo group of Replication sample

description: ZFAlFF map in placebo group of Replication sample
DOI: 10.6084/m9.figshare.22299859
title: ZFAlFF map in losartan group of Replication sample

description: ZFAlFF map in losartan group of Replication sample
DOI: 10.6084/m9.figshare.22153985
title: Master chart thesis.xlsx

description: Data set of test and control group