cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15142/t31d15
title: The Total Western Diet and Vancomycin Treatment Increase Inflammation-Mediated Colorectal Cancer--Microbiome Sequencing Data

description: Data includes .biom and mapping files (.txt) of microbiome data sequenced via 16s rRNA sequencing and processed using the latest version of QIIME. A complete dataset of 16S rRNA sequencing of terminal fecal samples is provided as a digital data .biom file. Biom files are readable through QIIME software, available at Qiime.org. A mapping file, formatted as a tab-delimited .txt file, is also available.
DOI: 10.26078/jsz1-3980
title: Data for tree mortality calibration of satellite and LiDAR-derived fire severity estimates.

description: The 55 JFSP plots were established to capture forest types, fire histories, and severity levels beyond those found within the YFPD. The plots were square 50 m × 50 m plots established in Pinus ponderosa, Pinus jeffreyi, and Abies concolor – Pinus lambertiana forest types between 1,431 m and 2,250 m elevation. Plots were installed post-fire based on a randomly chosen locations stratified by burn severity levels as calculated from the differenced Normalized Burn Ratio (dNBR). For details on site selection see Furniss et al. (in review). In the field, plots were located using a handheld GPS and then a more precise position was collected using a survey-grade GNSS receiver. Within each plot, all trees ≥10 cm DBH were identified, measured, and mapped. Tree measurements included DBH (1.37 m), species, vigor, and lean (distance and direction). Trees were mapped according to the methods in Lutz et al. (2012).
DOI: 10.26078/p64t-9h61
title: Pteridium nuclear gene phylogeny
DOI: 10.26078/j07f-jw28
title: GenBank 16S rDNA Sequences for Ca. Annandia pinicola, Ca. Gillettellia cooleyia, Ca. Hartigia pinicola, Ca. Profftia spp., Ca. Pseudomonas adelgestsugas from Taiwan, and Ca. Vallotia spp.

description: The attached .csv file contains accession number, definition, and GenBank URL for 28 rDNA sequences: MF077637–MF077640 and MF098761 (‘Ca. Annandia pinicola’), MF077633–MF077636 (‘Ca. Gillettellia cooleyia’), MF077641–MF077645 (‘Ca. Hartigia pinicola’), MF108835-MF108838 (‘Ca. Profftia spp.’), MF098762 (‘Ca. Pseudomonas adelgestsugas from Taiwan), MF063340- MF063348 (‘Ca. Vallotia spp.’).
DOI: 10.15468/pgahj2
title: Genera resembling Beckerina Malloch (Diptera: Phoridae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Disney, R. Henry L. (2004): Genera resembling Beckerina Malloch (Diptera: Phoridae). Zootaxa 518 (1): 1-28, DOI: 10.11646/zootaxa.518.1.1, URL: https://biotaxa.org/Zootaxa/article/view/zootaxa.518.1.1
DOI: 10.26078/q4x4-6894
title: Data from: Consumption of the total Western diet promotes colitis and inflammation-associated colorectal cancer in mice.

description: Gene expression data for colon tissues obtained prior to, during, and after onset of colitis in mice fed either a standard or Western type diet.
DOI: 10.15142/t3sg6k
title: DNA methylation in lung tissues of mouse offspring exposed in utero to polycyclic aromatic hydrocarbons: Appendix D. Gene lists for ontology analysis
DOI: 10.15142/t3x59v
title: DNA methylation in lung tissues of mouse offspring exposed in utero to polycyclic aromatic hydrocarbons: Appendix C. Peak scores summary table for all methylated genes in any data set
DOI: 10.26078/cad3-j806
title: Data from: Computational Fluid Dynamics Benchmark Validation Experiment of Plenum-to-Plenum Flow Through Vertical Heated Parallel Channels

description: This research is focused on the thermal mixing region of parallel jets entering an upper plenum. The highly-coupled thermal-fluid physics are relevant to plenum-to-plenum flow in High Temperature Gas Reactors such as thermal striping phenomena. Experimentally measured boundary conditions and system response quantities for use in Computational Fluid Dynamics were tabulated and published for public use.
DOI: 10.15142/t3201b
title: DNA methylation in lung tissues of mouse offspring exposed in utero to polycyclic aromatic hydrocarbons: Appendix B. NimbleGen processed data report for nearest methylated peaks
DOI: 10.5517/ccdc.csd.cc1mgkc0
title: CCDC 1503542: Experimental Crystal Structure Determination

description: Related Article: Shunan Zhao, Yifan Zhu, Ling Li, Véronique Guerchais, Julien Boixel, Keith Man-Chung Wong|2021|Chemical Science|12|11056|doi:10.1039/D1SC02787E
DOI: 10.5517/ccdc.csd.cc1mlfl7
title: CCDC 1507269: Experimental Crystal Structure Determination

description: Related Article: Shunan Zhao, Yifan Zhu, Ling Li, Véronique Guerchais, Julien Boixel, Keith Man-Chung Wong|2021|Chemical Science|12|11056|doi:10.1039/D1SC02787E
DOI: 10.5517/ccdc.csd.cc242r11
title: CCDC 1968842: Experimental Crystal Structure Determination

description: Related Article: M. Hakkı Yildirim|2021|J.Mol.Struct.|1245|131141|doi:10.1016/j.molstruc.2021.131141
DOI: 10.5517/ccdc.csd.cc24w69k
title: CCDC 1992348: Experimental Crystal Structure Determination

description: Related Article: Ya Zou, Víctor Bonal, Sergio Moles Quintero, Pedro G. Boj, José M. Villalvilla, José A. Quintana, Guangwu Li, Shaofei Wu, Qing Jiang, Yong Ni, Juan Casado, María A. Díaz-García, Jishan Wu|2020|Angew.Chem.,Int.Ed.|59|14927|doi:10.1002/anie.202004789
DOI: 10.5517/ccdc.csd.cc256qy2
title: CCDC 2002474: Experimental Crystal Structure Determination

description: Related Article: Sebastian Dengler, Pradeep K. Mandal, Lars Allmendinger, Céline Douat, Ivan Huc|2021|Chemical Science|12|11004|doi:10.1039/D1SC03640H
DOI: 10.5517/ccdc.csd.cc25gvzh
title: CCDC 2010287: Experimental Crystal Structure Determination

description: Related Article: Kang Wan, Shi-Chang Gao, Xu Fang, Meng-Yu Xu, Yong Yang, Min Xue|2020|Chem.Commun.|56|10155|doi:10.1039/D0CC04375C
DOI: 10.5517/ccdc.csd.cc25gw0k
title: CCDC 2010288: Experimental Crystal Structure Determination

description: Related Article: Kang Wan, Shi-Chang Gao, Xu Fang, Meng-Yu Xu, Yong Yang, Min Xue|2020|Chem.Commun.|56|10155|doi:10.1039/D0CC04375C
DOI: 10.5517/ccdc.csd.cc257zs6
title: CCDC 2003678: Experimental Crystal Structure Determination

description: Related Article: Zheng Cui,  Ye Lu,  Xiang Gao,  Hui-Jun Feng,  Guo-Xin Jin|2020|J.Am.Chem.Soc.|142|13667|doi:10.1021/jacs.0c05366
DOI: 10.5517/ccdc.csd.cc265nqs
title: CCDC 2031235: Experimental Crystal Structure Determination

description: Related Article: aswaniya krishnan|2020|CSD Communication|||
description: Related Article: K. Aswaniya, M.B. Jessie Raj, S. Gowri, G. Vinitha|2021|Optik: international j. light and electron optics|246|167836|doi:10.1016/j.ijleo.2021.167836
DOI: 10.5517/ccdc.csd.cc26kzc4
title: CCDC 2043066: Experimental Crystal Structure Determination

description: Related Article: Lu-Ming Deng, Li-Jun Hu, Yang-Ting-Zhi Bai, Jie Wang, Guan-Qiu Qin, Qiao-Yun Song, Jun-Cheng Su, Xiao-Jun Huang, Ren-Wang Jiang, Wei Tang, Yao-Lan Li, Chuang-Chuang Li, Wen-Cai Ye, Ying Wang|2021|Org.Lett.|23|4499|doi:10.1021/acs.orglett.1c01616
DOI: 10.5517/ccdc.csd.cc26kzd5
title: CCDC 2043067: Experimental Crystal Structure Determination

description: Related Article: Lu-Ming Deng, Li-Jun Hu, Yang-Ting-Zhi Bai, Jie Wang, Guan-Qiu Qin, Qiao-Yun Song, Jun-Cheng Su, Xiao-Jun Huang, Ren-Wang Jiang, Wei Tang, Yao-Lan Li, Chuang-Chuang Li, Wen-Cai Ye, Ying Wang|2021|Org.Lett.|23|4499|doi:10.1021/acs.orglett.1c01616
DOI: 10.5517/ccdc.csd.cc26rh4m
title: CCDC 2048360: Experimental Crystal Structure Determination

description: Related Article: Yingjing Yan, Roser Morales-Martínez, Jiaxin Zhuang, Yang-Rong Yao, Xiaomeng Li, Josep M. Poblet, Antonio Rodríguez-Fortea, Ning Chen|2021|Chem.Commun.|57|6624|doi:10.1039/D1CC02339J
DOI: 10.5517/ccdc.csd.cc27685x
title: CCDC 2061598: Experimental Crystal Structure Determination

description: Related Article: Dan Liu, Bin Shi, Hao Jiang, Ying Cheng, Wen-Jing Xiao, Liang-Qiu Lu|2021|Chem.Commun.|57|8496|doi:10.1039/D1CC03352B
DOI: 10.5517/ccdc.csd.cc276f96
title: CCDC 2061757: Experimental Crystal Structure Determination

description: Related Article: J.A. Kaduk|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|251|doi:10.1107/S2056989021001407
DOI: 10.5517/ccdc.csd.cc276fb7
title: CCDC 2061758: Experimental Crystal Structure Determination

description: Related Article: J.A. Kaduk|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|251|doi:10.1107/S2056989021001407
DOI: 10.5517/ccdc.csd.cc279rv5
title: CCDC 2064967: Experimental Crystal Structure Determination

description: Related Article: M. Rajkumar|2021|J.Mol.Struct.|1245|131105|doi:10.1016/j.molstruc.2021.131105
DOI: 10.5517/ccdc.csd.cc27gy2r
title: CCDC 2069934: Experimental Crystal Structure Determination

description: Related Article: Rui-Han Dai, Lu Han, Qi Wang, Shi-Kai Tian|2021|Chem.Commun.|57|8449|doi:10.1039/D1CC03141D
DOI: 10.5517/ccdc.csd.cc27gy4t
title: CCDC 2069936: Experimental Crystal Structure Determination

description: Related Article: Rui-Han Dai, Lu Han, Qi Wang, Shi-Kai Tian|2021|Chem.Commun.|57|8449|doi:10.1039/D1CC03141D
DOI: 10.5517/ccdc.csd.cc27j5kj
title: CCDC 2071127: Experimental Crystal Structure Determination

description: Related Article: Jack C. Sharland, Bo Wei, David J. Hardee, Timothy R. Hodges, Wei Gong, Eric A. Voight, Huw M. L. Davies|2021|Chemical Science|12|11181|doi:10.1039/D1SC02474D
DOI: 10.5517/ccdc.csd.cc27jqzh
title: CCDC 2071667: Experimental Crystal Structure Determination

description: Related Article: Jack C. Sharland, Bo Wei, David J. Hardee, Timothy R. Hodges, Wei Gong, Eric A. Voight, Huw M. L. Davies|2021|Chemical Science|12|11181|doi:10.1039/D1SC02474D
DOI: 10.5517/ccdc.csd.cc27kffp
title: CCDC 2072332: Experimental Crystal Structure Determination

description: Related Article: Fang Miao, Hanjiao Chen, Sergio Moles Quintero, Guodong Xue, Juan Casado, Yonghao Zheng|2021|Chem.Commun.|57|8433|doi:10.1039/D1CC02890A
DOI: 10.5517/ccdc.csd.cc27lt3s
title: CCDC 2073655: Experimental Crystal Structure Determination

description: Related Article: Haiying Wang, Weiwei Yang, Kim K. Baldridge, Cai-Hong Zhan, Tushar Ulhas Thikekar, Andrew C.-H. Sue|2021|Chemical Science|12|10985|doi:10.1039/D1SC02560K
DOI: 10.5517/ccdc.csd.cc27lt4t
title: CCDC 2073656: Experimental Crystal Structure Determination

description: Related Article: Haiying Wang, Weiwei Yang, Kim K. Baldridge, Cai-Hong Zhan, Tushar Ulhas Thikekar, Andrew C.-H. Sue|2021|Chemical Science|12|10985|doi:10.1039/D1SC02560K
DOI: 10.5517/ccdc.csd.cc27nc4f
title: CCDC 2075144: Experimental Crystal Structure Determination

description: Related Article: Takeshi Fujita, Ryutaro Morioka, Takuya Fukuda, Naoto Suzuki, Junji Ichikawa|2021|Chem.Commun.|57|8500|doi:10.1039/D1CC03453G
DOI: 10.5517/ccdc.csd.cc27ngft
title: CCDC 2075246: Experimental Crystal Structure Determination

description: Related Article: Mi-Hee Jung|2021|Dalton Trans.|50|10261|doi:10.1039/D1DT01465J
DOI: 10.5517/ccdc.csd.cc27nggv
title: CCDC 2075247: Experimental Crystal Structure Determination

description: Related Article: Mi-Hee Jung|2021|Dalton Trans.|50|10261|doi:10.1039/D1DT01465J
DOI: 10.26078/28kt-b283
title: Na lidar and MIGHTI/ICON investigation on turbopause tidal waves

description: Local full diurnal coverage of temperature variations across the turbopause (~ 90 km to 115 km altitude) is achieved by combining the nocturnal observations of a Sodium (Na) Doppler lidar on the Utah State University (USU) campus (41.7?N, 248.2?E) and NASA MIGHTI/ICON daytime observations made in the same vicinity. In this paper, utilizing this hybrid dataset during summer 2020 between June 12th and July 15th, we retrieve the temperature signatures of diurnal and semidiurnal tidal waves in this region. The tidal amplitudes are similar for both components: less than 5 K below ~ 98 km but increase considerably above, up to 19 K near 104 km, while experiencing significant dissipation near turbopause altitudes ~ 110 km. The tidal phase profiles show dominance of tidal components with long vertical wavelength (longer than 40 km) for the semidiurnal tide. The diurnal tide demonstrates close to evanescent wave behavior in the turbopause region.
DOI: 10.26078/nt3d-6s71
title: Data for Farmland Preservation Study

description: This study fills a gap in cultural ecosystem service (CES) assessment of prime farmland located in peri-urban areas by presenting results from a choice experiment recently conducted in Utah’s Wasatch Front region. The choice experiment was designed to account for heterogeneous effects associated with a wide array of socio-demographic and attitudinal characteristics on household preferences for farmland preservation, including farmland used for the joint production of solar power and agricultural products. We apply a mixed-logit model to our data that controls for preference heterogeneity among Wasatch Front households along two dimensions – at the individual household level and according to different household types. We find that the typical household is willing to pay a non-trivial annual fee to preserve the region’s existing peri-urban farmland, and to a lesser extent is willing to pay for agrivoltaics on that land. We also find extensive preference heterogeneity among different types of households for farmland preservation and agrivoltaics. These findings can serve as crucial components of broader land-use studies designed to account for the full range of agri-environmental ecosystem services.
DOI: 10.15142/t35p49
title: DNA methylation in lung tissues of mouse offspring exposed in utero to polycyclic aromatic hydrocarbons: Appendix A. NimbleGen processed data report for all methylated peaks
DOI: 10.26078/w01a-5k06
title: Standard Non-Uniform Noise Dataset

description: Fixed Pattern Noise Non-Uniformity Correction through K-Means Clustering

Fixed pattern noise removal from imagery by software correction is a practical approach compared to a physical hardware correction because it allows for correction post-capture of the imagery. Fixed pattern noise presents a unique challenge for de-noising techniques as the noise does not present itself where large number statistics are effective. Traditional noise removal techniques such as blurring or despeckling produce poor correction results because of a lack of noise identification. Other correction methods developed for fixed pattern noise can often present another problem of misidentification of noise. This problem can result in introducing secondary artifacts that can disrupt the imagery and leave the resulting image worse than the uncorrected image. This underlying issue of poor noise identification stems from strong assumptions globally and locally in the imagery. A proposed approach utilizing image intensity clustering will blend local and global information to find a nuanced correction value on a row-by-row basis. The proposed algorithm’s evaluation will be against multiple other correction methods developed for fixed pattern noise removal through a synthetic suite of imagery. The suite is founded on clean images and expanded by varied synthetic noise types introduced by algorithmic means. Images will be evaluated pixel by pixel, row mean by row mean, and with and without a scene intensity bias correction for validation of noise correction.
DOI: 10.15142/t32c7d
title: Data from: Benchmark Experiments for Natural Convection in Nuclear Fuel Rod Bundles

description: Natural convection is a phenomenon in which a flow of the fluid surrounding a body is induced by a change in density due to the temperature difference between the body and the fluid. This flow can be highly non-linear and turbulent, generating eddies. The complex interaction between the convective, viscous and buoyant forces requires the use of modern turbulent simulation tools for simulation. The accuracy of these tools, due to non-linearity, is difficult to assess. The present study investigates natural convection in nuclear fuel rod bundles using heated rods to simulate the storage of spent fuel in dry casks as a benchmark for simulation validation. Four heated, aluminum cylinders are instrumented and suspended in a rotatable, open-circuit wind tunnel. Particle Image Velocimetry (PIV) is used to non-obtrusively measure the velocity fields for various heating and flow conditions. The system response quantities (SRQs) and inflow conditions are acquired using PIV for use in validation of Computational Fluid Dynamics (CFD) models. All measurements are reported with uncertainties and are repeated for multiple flow conditions and heating scenarios. The boundary conditions, initial conditions and SRQs are compiled and made available for public use in validating CFD models.
DOI: 10.15142/t3wk55
title: Data for allometric equations of Chrysolepis sempervirens, Cornus sericea, Corylus cornuta ssp. californica, and Leucothoe davisiae.

description: This data set includes measurements of 40 stems of Chrysolepis sempervirens (Kellogg) Hjelmq. (bush chinquapin), 41 stems of Cornus sericea L. (redosier dogwood), 50 stems of Corylus cornuta Marsh. ssp. californica (A. DC.) E. Murray, and 40 stems of Leucothoe davisiae Torrey (Sierra laurel), as reported in Lutz et al. (2014, 2017). Nomenclature follows Flora of North America (1993+).
DOI: 10.15142/t3ws3g
title: DNA methylation in lung tissues of mouse offspring exposed in utero to polycyclic aromatic hydrocarbons: Appendix E. Results of gene ontology analysis for differentially methylated genes

description: This Microsoft Excel document provides complete results for AgriGo gene ontology analyses of differentially methylated genes in the form of three tables, as follows:

Table 1. AgriGO GO Slim Results for Biological Process, Molecular Function and Cellular Compartment for Sham, AdjDBC and TumDBC Tissues

Table 2. AgriGO GO Slim Results for Biological Process, Molecular Function and Cellular Compartment for Sham, AdjBaP and TumBaP Tissues

Table 3. AgriGO GO Slim Results for Biological Process, Molecular Function and Cellular Compartment for sham, TumDBC and TumBaP Tissues
DOI: 10.15142/t31c73
title: MPB Spot Infestation Data

description: This folder contains ASCII text raster files describing the pine density model and yearly aerial detection survey (ADS) data for three study areas: Sawtooth (central Idaho, USA), Chelan (north-central Washington, USA) and Northern Colorado (USA). These data supported analyses presented in

Powell, J.A., M.J. Garlick, B.J. Bentz and N.A. Friedenberg. (2017) Differential Dispersal and the Allee Effect Create Power-Law Behavior: Distribution of Spot Infestations During Mountain Pine Beetle Outbreaks. Journal of Animal Ecology.

Each raster is at 30m resolution, and each pixel is a density in a space-separated ascii file. The top five rows of each file are commented using % (Matlab comment) and contain: number of columns in the raster, number of rows in the raster, UTM for horizontal location of lower left corner UTM for vertical location of lower left corner NODATA value

Separate readme files are in each subdirectory. The zipped file contains:

1 PDF: Crabb_RP_93WWW.pdf (Crabb et al. 2012)

1 general readme: MPB_Spot_ASCIIs.txt

Chelan subdirectory: 20 ADS ASCII tab-separated rasters (2401 x 2067, 9.77MB each) of tree per hectare impact (1990-2009) + 1 pine cover raster (ca 2001) + 1 readme.txt file

No. Colorado subdirectory: 10 ADS ASCII tab-separated rasters (9259 x 8924, 160MB each) of tree per hectare impact (2001-10) + 1 pine cover raster (ca 2003) + 1 readme.txt file

Sawtooth subdirectory: 10 ADS ASCII tab-separated rasters (2076 x 1437, 22.9MB each) of tree per acre impact (1995-2004) + 1 pine cover raster (ca 2001) + 1 readme.txt file
DOI: 10.15142/t3z91h
title: Data from "Admixture, evolution, and variation in reproductive isolation in the Boechera puberula clade"

description: - .fastq files (Raw data from 79 individuals) - zipped

- *.vcf file (variant call files)

- *.gl (genotype likelihoods file)

- k8admixProps.csv (admixture proportions)

- k8gprob_mngt.txt (mean genotypes estimated by entropy)

- All scripts for analysis can be found at Github repository. https://github.com/schimar/hts_tools
DOI: 10.15142/t3mg95
title: Data from: Target Sequence Capture of Nuclear-Encoded Genes for Phylogenetic Analysis in Ferns

description: Premise of the study: Until recently, most phylogenetic studies of ferns were based on chloroplast genes. Evolutionary inferences based on these data can be incomplete because the characters are from a single linkage group and are uniparentally inherited. These limitations are particularly acute in studies of hybridization, which is prevalent in ferns; fern hybrids are common and ferns are able to hybridize across highly diverged lineages, up to 60 million years since divergence in one documented case. However, it not yet clear what effect such hybridization has on fern evolution, in part due to a paucity of available biparentally inherited (nuclear-encoded) markers.

Methods: We designed oligonucleotide baits to capture 25 targeted, low-copy nuclear markers from a sample of 24 species spanning extant fern diversity.

Results: Most loci were successfully sequenced from most accessions. Although the baits were designed from exon (transcript) data, we successfully captured intron sequences that should be useful for more focused phylogenetic studies. We present phylogenetic analyses of the new target sequence capture data and integrate these into a previous transcript-based dataset.

Discussion: We make our bait sequences available to the community as a resource for further studies of fern phylogeny.
DOI: 10.15142/t35633
title: Alllenrolfea Wetland Genetics Data

description: The hydrophyte Allenrolfea occidentalis (S. Watson) Kuntze (iodine bush) is a halophytic shrub of the arid southwest that is listed as a facultative wetland (FACW) species on the National Wetland Plant List. This rating means the species is usually a hydrophyte but occasionally is found in uplands. We tested for genetic (ecotypic) differences between plants sampled from wetlands versus uplands. We used genotyping-by-sequencing (ddRAD-seq) to generate data from 133 plants from 30 locations representing both wetland and upland occurrences for over 1300 loci. Analyses indicated that the strongest signal is differences in geographic distribution: samples that are in close geographic proximity tend to be more similar genetically regardless of whether they occur in wetland or upland locations. We detected no effect of habitat on overall genetic structure and we found only two (of the 1381) loci with a positive association between genotype and habitat. We infer that A. occidentalis occurrences near or in wetlands are not influenced by significant differences in genetics, but rather the rating for this species is a function of inadequate knowledge of its frequency of occurrence in wetlands.