cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/kuextd
title: Outputs_Selective assembly binning methods evaluation.tab

description: Selective Assembly Binning Analyses In this file, collective data regarding 1000 distributed gears among three existing bins for each type of the gear based on two different binning method (BM) is stored. t_PitchError (µm) is reported KCs in the two gears, therefore, the gears are distributed regarding the KCs using the following Binning Methods (BM): BM1: Equivalent number of components BM2: Define tolerance boundaries The structure of the file: BM1 Spur indicates that binning method BM1 is investigated to distribute the spur gears among bins SB1, SB2, and SB3. This structure is repeated for all the other sheets.
DOI: 10.57745/xf1svo
title: Outputs_Individual assembly strategies evaluation.tab

description: Individual Assembly Analyses In this file, the optimal pairs corresponding to each proposed individual assembly are detailed. Moreover, the strategies are explained as follows: Optimum Quality Criterion (OQC) Algorithm - The OQC algorithm is used to find a solution to the assignment problem that contains quality criteria (QCs) as small as possible for the pairs. For this approach, individual pairs with a very small QC are preferred over pairs that have a larger QC. This is useful for quality classes! Maximum Parts Usage Algorithm (MPU) - The Maximum Parts Usage Algorithm (MPU) requires, in addition to all QCs of the pairs, also a threshold for the QCs above which the pairs would be rejected. The goal of this algorithm is to assemble parts only in such a manner that only permissible pairs (pairs below the QCs threshold) are formed. Global Optimum Quality Criterion (GOQC) - This algorithm searches for the global optimum in all possible combinations (GOQC). The optimization criterion is the sum of all QCs of the combination of all pairs.
DOI: 10.17636/10188880
title: Fiscal and Education Spillovers from Charter School Expansion
DOI: 10.5281/zenodo.7826381
title: Suspended particle and floc sizes in the lower most reaches of the Mississippi River during summer 2020 and winter 2021

description: Data associated with the paper: Osborn, R., Dunne, K. B. J., Ashley, T., Nittrouer, J. A., & Strom, K. (2023). The flocculation state of mud in the lowermost freshwater reaches of the Mississippi River: Spatial distribution of sizes, seasonal changes, and their impact on vertical concentration profiles. <em>Journal of Geophysical Research: Earth Surface</em>, 128, e2022JF006975. https://doi. org/10.1029/2022JF006975
DOI: 10.5281/zenodo.8087301
title: Validating NISAR's cropland mapping approach and the USDA/NASS Cropland Data Layer against ground truth data in a fragmented urban agricultural region

description: Field data used in manuscript: 1 shapefile containing the ROI outline for which Sentinel-1 data was cropped 1 shapefile containing the 93 fields investigated with their names, types and sizes as attributes 8 annual csv data for active fields, consisting of 3 harvest dates and 5 planting dates. This list is after translating data from Farmlogic Report (not conducive to analysis in the format) and filtering for fields greater 1 acre. The study lateron further screened to use only fields greater than 2 acreas (0.81 hectares).
DOI: 10.5281/zenodo.8087300
title: Validating NISAR's cropland mapping approach and the USDA/NASS Cropland Data Layer against ground truth data in a fragmented urban agricultural region

description: Field data used in manuscript: 1 shapefile containing the ROI outline for which Sentinel-1 data was cropped 1 shapefile containing the 93 fields investigated with their names, types and sizes as attributes 8 annual csv data for active fields, consisting of 3 harvest dates and 5 planting dates. This list is after translating data from Farmlogic Report (not conducive to analysis in the format) and filtering for fields greater 1 acre. The study lateron further screened to use only fields greater than 2 acreas (0.81 hectares).
DOI: 10.25919/kk2e-z748
title: Parkes observations for project P455 semester 2023APRS_02

description: This project is to continue timing and profile studies of the first double-pulsar system, a unique laboratory for gravitational physics. Important results published in our 53-page Phys. Rev. X paper (Kramer et al., December 2021) include the first measurements of higher-order light-propagation effects and of the relativistic deformation of the orbit and highlight the importance of a long term observational campaign, including VLBI observations, for this remarkable system. The main aims of this proposal are to provide the strongest tests to date for general relativity and to measure for the first time the moment-of-inertia of a neutron star. Additionally, we will determine the system geometry and map the pulsar beams via geodetic precession. We will exploit the high sensitivity and broad bandwidth of the UWL receiver.
DOI: 10.5519/qd.0ffybktd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (594742 records)
DOI: 10.5066/p9ez3vas
title: Historical Evapotranspiration for the Conterminous U.S.

description: This data release provides rasters of actual evapotranspiration (ET) at the Conterminous U.S. (CONUS) scale from October 1895 to September 2018. Data are provided at the annual and monthly time scales at 800 meter spatial resolution. The dataset was produced using ensemble estimation methods described in the associated journal article. The data release also includes associated datasets developed in the production of these ET estimates, including monthly maps of groundwater and surface water irrigation from 1980-2018, as well as data underlying the figures in the associated paper.
DOI: 10.6084/m9.figshare.23550003
title: Dataset for Microbial carbon use efficiency in different ecosystems: a meta-analysis based on a biogeochemical-equilibrium model

description: The data including a total of 197 soil samples from 41 study sites from the published literature covering three types of terrestrial ecosystems (58 farmlands, 95 forests and 44 grasslands) were collected to estimate microbial CUEs across different ecosystems by mata-analysis.
DOI: 10.5281/zenodo.7863606
title: Dataset: Assessing Power in Punching Sounds from Mainstream Films and Video Games

description: Dataset accompanying the article published at ICAD 2023: Assessing Power in Punching Sounds from Mainstream Films and Video Games This repository contains: 28 sound stimuli (.wav) Dataset from the experiment as described in the paper (.RData) Dataset containing audio features as described in the paper (.RData) Analysis code in R (.pdf)
DOI: 10.5281/zenodo.7863605
title: Dataset: Assessing Power in Punching Sounds from Mainstream Films and Video Games

description: Dataset accompanying the article published at ICAD 2023: Assessing Power in Punching Sounds from Mainstream Films and Video Games This repository contains: 28 sound stimuli (.wav) Dataset from the experiment as described in the paper (.RData) Dataset containing audio features as described in the paper (.RData) Analysis code in R (.pdf)
DOI: 10.5517/ccdc.csd.cc2bktlb
title: CCDC 2162082: Experimental Crystal Structure Determination

description: Related Article: Yoshihiro Koizumi, Kentaro Yonesato, Kazuya Yamaguchi, Kosuke Suzuki|2022|Inorg.Chem.|61|9841|doi:10.1021/acs.inorgchem.2c01029
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.cc2br9w9
title: CCDC 2167361: Experimental Crystal Structure Determination

description: Related Article: Ryosuke Tabuchi,  Hiroki Takezawa,  Makoto Fujita|2022|Angew.Chem.,Int.Ed.|61|e202208866|doi:10.1002/anie.202208866
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.cc2cb8pp
title: CCDC 2184622: Experimental Crystal Structure Determination

description: Related Article: Xi Chen, Zhe Zhang, Wei-Yu Shi, Ya-Nan Ding, Yu-Yong Luan, Yan-Chong Huang, Qiang Wang, Xue-Yuan Liu, Yong-Min Liang|2023|Org.Lett.|25|4456|doi:10.1021/acs.orglett.3c01361
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.cc2d02j1
title: CCDC 2204612: Experimental Crystal Structure Determination

description: Related Article: Ye Zhao, Chen Hua, Yi-ou Sha, Pei-Qian Wu, Qun-Fang Liu, Lu Lu, Bin Zhou, Shi-bo Jiang, Yao-Yue Fan, Jian-Min Yue|2023|Phytochemistry|213|113745|doi:10.1016/j.phytochem.2023.113745
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.20538591
title: Fingerprinting <i>Saccharomyces cerevisiae</i> Strains Using Next Generation Sequencing of PCR Amplicons Generated from Delta Elements

description: Identifying beer spoilage microbes is readily accomplished using PCR analyses targeting specific types of microbes, but the general classification of wild yeast <i>versus</i> brewing yeast using cultivation independent molecular methods has remained challenging. The approach presented in this study utilized genetic fingerprint matching to determine if an unknown yeast isolate matches the fingerprint of catalogued brewing yeast strains. Interdelta Next Generation Sequencing (NGS) fingerprints were produced using PCR amplification of delta elements, also known as long terminal repeat sequences of transposons of yeast. Fingerprints identifying different yeast strains were generated by processing reads produced by NGS of the interdelta PCR amplicons using open source software. The interdelta NGS fingerprint comprises DNA sequences that can be recorded, compared, and utilized as a fixed reference for yeast strain identification. Interdelta NGS fingerprints were shown to be reproducible and capable of distinguishing between strains of brewing yeast and wild yeast. Experimental yeast contamination demonstrated the utility of the approach for identifying in-house brewing yeast cross contamination <i>versus</i> foreign wild yeast contamination.
DOI: 10.6084/m9.figshare.20718652
title: Temporal Expression Analysis of Barley Disproportionating Enzyme 1 (<i>DPE1</i>) during Grain Development and Malting

description: Disproportionating enzyme (D-enzyme) is a 4-α-glucanotransferase (EC 2.4.1.25) that disproportionates α-glucans and maltooligosaccharides and preferentially disproportionates maltotriose into maltopentaose and glucose. Maltotriose is a maltooligosaccharide that accumulates in barley malt and wort without being digested further by starch degrading enzymes. Furthermore, not all brewer’s yeast strains can ferment maltotriose. This research was undertaken to determine if D-enzyme is expressed in developing and/or malting barley grains and thus providing evidence of an inherent enzymatic mechanism capable of disproportionating maltotriose into maltopentaose that can be further degraded into fermentable sugars by amylolytic enzymes such as β-amylase. A partial genomic sequence of barley disproportionating enzyme 1 (<i>DPE1</i>) was obtained that was comprised of 16 exons and 15 introns totaling 4680 bp. The 5’ region of the <i>DPE1</i> gene was recalcitrant to Sanger sequencing owing to its localization in a highly repetitive region of the barley genome. The <i>DPE1</i> gene is expressed during grain development and the protein stored in the mature grain. Additionally, the <i>DPE1</i> gene is <i>de novo</i> expressed during malting in both a 2- and 6-row malting cultivar with significant variation observed amongst 13 elite malting cultivars representing spring and winter growth habits. During grain development, <i>DPE1</i> mRNA levels peak at 17 days after anthesis, which coincides with a large increase in proteins that react to anti-DPE1 polyclonal antibodies. These proteins appear as a doublet on immunoblots during initial stages of malting and as a singlet as malting progresses indicating proteolytic processing (e.g., transit peptide removal) or differential isoform/splice variant expression.
DOI: 10.6084/m9.figshare.20538591.v1
title: Fingerprinting <i>Saccharomyces cerevisiae</i> Strains Using Next Generation Sequencing of PCR Amplicons Generated from Delta Elements

description: Identifying beer spoilage microbes is readily accomplished using PCR analyses targeting specific types of microbes, but the general classification of wild yeast <i>versus</i> brewing yeast using cultivation independent molecular methods has remained challenging. The approach presented in this study utilized genetic fingerprint matching to determine if an unknown yeast isolate matches the fingerprint of catalogued brewing yeast strains. Interdelta Next Generation Sequencing (NGS) fingerprints were produced using PCR amplification of delta elements, also known as long terminal repeat sequences of transposons of yeast. Fingerprints identifying different yeast strains were generated by processing reads produced by NGS of the interdelta PCR amplicons using open source software. The interdelta NGS fingerprint comprises DNA sequences that can be recorded, compared, and utilized as a fixed reference for yeast strain identification. Interdelta NGS fingerprints were shown to be reproducible and capable of distinguishing between strains of brewing yeast and wild yeast. Experimental yeast contamination demonstrated the utility of the approach for identifying in-house brewing yeast cross contamination <i>versus</i> foreign wild yeast contamination.
DOI: 10.6084/m9.figshare.20718652.v1
title: Temporal Expression Analysis of Barley Disproportionating Enzyme 1 (<i>DPE1</i>) during Grain Development and Malting

description: Disproportionating enzyme (D-enzyme) is a 4-α-glucanotransferase (EC 2.4.1.25) that disproportionates α-glucans and maltooligosaccharides and preferentially disproportionates maltotriose into maltopentaose and glucose. Maltotriose is a maltooligosaccharide that accumulates in barley malt and wort without being digested further by starch degrading enzymes. Furthermore, not all brewer’s yeast strains can ferment maltotriose. This research was undertaken to determine if D-enzyme is expressed in developing and/or malting barley grains and thus providing evidence of an inherent enzymatic mechanism capable of disproportionating maltotriose into maltopentaose that can be further degraded into fermentable sugars by amylolytic enzymes such as β-amylase. A partial genomic sequence of barley disproportionating enzyme 1 (<i>DPE1</i>) was obtained that was comprised of 16 exons and 15 introns totaling 4680 bp. The 5’ region of the <i>DPE1</i> gene was recalcitrant to Sanger sequencing owing to its localization in a highly repetitive region of the barley genome. The <i>DPE1</i> gene is expressed during grain development and the protein stored in the mature grain. Additionally, the <i>DPE1</i> gene is <i>de novo</i> expressed during malting in both a 2- and 6-row malting cultivar with significant variation observed amongst 13 elite malting cultivars representing spring and winter growth habits. During grain development, <i>DPE1</i> mRNA levels peak at 17 days after anthesis, which coincides with a large increase in proteins that react to anti-DPE1 polyclonal antibodies. These proteins appear as a doublet on immunoblots during initial stages of malting and as a singlet as malting progresses indicating proteolytic processing (e.g., transit peptide removal) or differential isoform/splice variant expression.
DOI: 10.6084/m9.figshare.20819085
title: Barley Variety and Growing Location Provide Nuanced Contributions to Beer Flavor Using Elite Germplasm in Commercial-Type Malts and Beers

description: Understanding the role barley variety plays in the overall flavor profile of beer is an area of research of interest to barley breeders, maltsters, and brewers. Here we build on previous research on the effect of barley variety on beer flavor by focusing on commercial-type malts and beers. A selection of three winter-habit, elite malting lines – two released varieties and one experimental – were grown in three locations across Oregon and California and harvested in summer 2020. Each was malted to the specifications of Pilsner-style malt. Beers were produced to mimic offerings of the industry partner and utilized a small portion of specialty malt and higher hopping rates than previous work. All beers underwent descriptive sensory analysis and Projective Mapping (Napping®) to characterize and determine the magnitude of separation between samples. Malting and brewing performance differed among the nine entries, but sensory outcomes showed only minor separation and few significant differences in the descriptive analysis. The results here showed that there is correlation between malt modification and sensory outcomes and ultimately confirmed that barley variety and growing location contributes to beer flavor. However, the overall contributions are nuanced, particularly in commercial-ty3pe malts and beers.
DOI: 10.6084/m9.figshare.20819085.v1
title: Barley Variety and Growing Location Provide Nuanced Contributions to Beer Flavor Using Elite Germplasm in Commercial-Type Malts and Beers

description: Understanding the role barley variety plays in the overall flavor profile of beer is an area of research of interest to barley breeders, maltsters, and brewers. Here we build on previous research on the effect of barley variety on beer flavor by focusing on commercial-type malts and beers. A selection of three winter-habit, elite malting lines – two released varieties and one experimental – were grown in three locations across Oregon and California and harvested in summer 2020. Each was malted to the specifications of Pilsner-style malt. Beers were produced to mimic offerings of the industry partner and utilized a small portion of specialty malt and higher hopping rates than previous work. All beers underwent descriptive sensory analysis and Projective Mapping (Napping®) to characterize and determine the magnitude of separation between samples. Malting and brewing performance differed among the nine entries, but sensory outcomes showed only minor separation and few significant differences in the descriptive analysis. The results here showed that there is correlation between malt modification and sensory outcomes and ultimately confirmed that barley variety and growing location contributes to beer flavor. However, the overall contributions are nuanced, particularly in commercial-ty3pe malts and beers.
DOI: 10.6084/m9.figshare.23587551
title: On the anatomy and structural control of a dyke swarm that fed caldera-forming ignimbrite eruptions

description: Anisotropy of magnetic susceptibility.
DOI: 10.6084/m9.figshare.23587551.v1
title: On the anatomy and structural control of a dyke swarm that fed caldera-forming ignimbrite eruptions

description: Anisotropy of magnetic susceptibility.
DOI: 10.34740/kaggle/dsv/6039575
title: Mahanagar Yatayat Dataset
DOI: 10.57687/fk2/r9loxp/gxrnrr
title: Data Teaser - Competencies.xls

description: :unav
DOI: 10.57687/fk2/r9loxp/vom9hk
title: Data Dictionary - Competencies.xls

description: :unav
DOI: 10.22002/hsdw4-6mz33
title: Thesis Chapter 2 Supplementary Tables
DOI: 10.6084/m9.figshare.22561141
title: Updated supporting data and code

description: R1_metadata: including two files. "metadata_for_01_update_meta_analysis_SAME.xlsx" is used to describe the meaning of each column in 01_update_meta_analysis_SAME.csv in R1_data. "metadata_for_R1_scripts_file_names" is used to introduce main content and function of each .R, and .Rmd file. R1_data: datasets are used to conduct meta-analysis and generate part of supporting results. <br> R1_scripts: .R, and .Rmd files are used for analyses. <br> R1_outputs: results of sample effect sizes, the magnitude of extreme climatic events, non-native and native species positive, negative, and neutral responses, and some of Figs in main text and Supplementary Information.
DOI: 10.6084/m9.figshare.22561141.v2
title: Updated supporting data and code

description: R1_metadata: including two files. "metadata_for_01_update_meta_analysis_SAME.xlsx" is used to describe the meaning of each column in 01_update_meta_analysis_SAME.csv in R1_data. "metadata_for_R1_scripts_file_names" is used to introduce main content and function of each .R, and .Rmd file. R1_data: datasets are used to conduct meta-analysis and generate part of supporting results. <br> R1_scripts: .R, and .Rmd files are used for analyses. <br> R1_outputs: results of sample effect sizes, the magnitude of extreme climatic events, non-native and native species positive, negative, and neutral responses, and some of Figs in main text and Supplementary Information.
DOI: 10.6084/m9.figshare.22561141.v1
title: Supplementary Data S1 to S4

description: The Data S1 is about original data used for meta-analysis. The Data S2 is about the non-native species list and details of identified native and non-native ranges for each species. The Data S3 is about species occurrence records gathered from the online database of the Global Biodiversity Information Facility and additional records from the literature. The Data S4 is about details on the selected variables for running ecological niche models for different taxa.