cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc27j7vw
title: CCDC 2071198: Experimental Crystal Structure Determination

description: Related Article: Ricardo A. Peralta, Michael T. Huxley, Jorge Albalad, Christopher J. Sumby, Christian J. Doonan|2021|Inorg.Chem.|60|11775|doi:10.1021/acs.inorgchem.1c00849
DOI: 10.5517/ccdc.csd.cc27j7xy
title: CCDC 2071200: Experimental Crystal Structure Determination

description: Related Article: Ricardo A. Peralta, Michael T. Huxley, Jorge Albalad, Christopher J. Sumby, Christian J. Doonan|2021|Inorg.Chem.|60|11775|doi:10.1021/acs.inorgchem.1c00849
DOI: 10.5517/ccdc.csd.cc27j7yz
title: CCDC 2071201: Experimental Crystal Structure Determination

description: Related Article: Ricardo A. Peralta, Michael T. Huxley, Jorge Albalad, Christopher J. Sumby, Christian J. Doonan|2021|Inorg.Chem.|60|11775|doi:10.1021/acs.inorgchem.1c00849
DOI: 10.5517/ccdc.csd.cc27j802
title: CCDC 2071203: Experimental Crystal Structure Determination

description: Related Article: Ricardo A. Peralta, Michael T. Huxley, Jorge Albalad, Christopher J. Sumby, Christian J. Doonan|2021|Inorg.Chem.|60|11775|doi:10.1021/acs.inorgchem.1c00849
DOI: 10.5517/ccdc.csd.cc27jpdw
title: CCDC 2071618: Experimental Crystal Structure Determination

description: Related Article: Macguire R. Bryant, Trent Cunynghame, Sally O. Hunter, Shane G. Telfer, Christopher Richardson|2021|Inorg.Chem.|60|11711|doi:10.1021/acs.inorgchem.1c00862
DOI: 10.5517/ccdc.csd.cc27l8qv
title: CCDC 2073147: Experimental Crystal Structure Determination

description: Related Article: Wouter Lindeboom, Duncan A. X. Fraser, Christopher B. Durr, Charlotte K. Williams|2021|Chem.-Eur.J.|27|12224|doi:10.1002/chem.202101140
DOI: 10.5517/ccdc.csd.cc27l8ty
title: CCDC 2073150: Experimental Crystal Structure Determination

description: Related Article: Wouter Lindeboom, Duncan A. X. Fraser, Christopher B. Durr, Charlotte K. Williams|2021|Chem.-Eur.J.|27|12224|doi:10.1002/chem.202101140
DOI: 10.5517/ccdc.csd.cc27ll8q
title: CCDC 2073443: Experimental Crystal Structure Determination

description: Related Article: Li Zhu, Li-Jie Gong, Dong-Rong Zhu, Jiang-Min Zhu, Yin Li, Ling-Yi Kong, Jian-Guang Luo|2021|Phytochemistry|191|112903|doi:10.1016/j.phytochem.2021.112903
DOI: 10.5281/zenodo.5256613
title: TWAS weights for expression and splicing in three human spinal cord segments

description: TWAS weights files from three human spinal cord segments, created with FUSION. Each file consists of a tar.gz compressed directory containing RData files, readable with the R programming language. For expression weights, each RData file is a set of TWAS models for a single gene. For splicing weights, each RData file is a set of TWAS models for a single mRNA splicing junction read, created using Leafcutter.
DOI: 10.5281/zenodo.5256612
title: TWAS weights for expression and splicing in three human spinal cord segments

description: TWAS weights files from three human spinal cord segments, created with FUSION. Each file consists of a tar.gz compressed directory containing RData files, readable with the R programming language. For expression weights, each RData file is a set of TWAS models for a single gene. For splicing weights, each RData file is a set of TWAS models for a single mRNA splicing junction read, created using Leafcutter.
DOI: 10.5281/zenodo.5257271
title: Machine learning-based evidence and attribution mapping of 100,000 climate impact studies - Data

description: Data for the paper Machine learning-based evidence and attribution mapping of 100,000 climate impact studies <strong>Document Metadata</strong> 0c_doc_info.csv contains basic document metadata for each document considered in our study <strong>Predictions</strong> In each predictions file, 1 refers to a document hand-labelled as belonging to a category, and 0 refers to a document hand-labelled as not belonging to a category. All values in between are predicted values, where for values greater than 0.5, a document is considered likely to belong to the given category. 1_document_relevance.csv contains the predicted relevance of a document to the study. 1_driver_predictions.csv contains the predicted climate driver of each document. 1_impact_predictions.csv contains the predicted impact type of each document <strong>Geographical data</strong> Place_df.csv contains a row for each geographical entity automatically extracted from each study Study_gridcell_2.5.csv contains a row matching each study with each grid cell covered by the study’s smallest mentioned geographical entity <strong>Merged data</strong> 2_study_da.csv contains a row for each study describing the aggregated detection and attribution characteristics of the grid cells the study refers to 2_merged_da_data.csv contains a row for each grid cell describing the attribution categories and the number of weighted grid cells for each climate driver.
DOI: 10.5281/zenodo.5257270
title: Machine learning-based evidence and attribution mapping of 100,000 climate impact studies - Data

description: Data for the paper Machine learning-based evidence and attribution mapping of 100,000 climate impact studies <strong>Document Metadata</strong> 0c_doc_info.csv contains basic document metadata for each document considered in our study <strong>Predictions</strong> In each predictions file, 1 refers to a document hand-labelled as belonging to a category, and 0 refers to a document hand-labelled as not belonging to a category. All values in between are predicted values, where for values greater than 0.5, a document is considered likely to belong to the given category. 1_document_relevance.csv contains the predicted relevance of a document to the study. 1_driver_predictions.csv contains the predicted climate driver of each document. 1_impact_predictions.csv contains the predicted impact type of each document <strong>Geographical data</strong> Place_df.csv contains a row for each geographical entity automatically extracted from each study Study_gridcell_2.5.csv contains a row matching each study with each grid cell covered by the study’s smallest mentioned geographical entity <strong>Merged data</strong> 2_study_da.csv contains a row for each study describing the aggregated detection and attribution characteristics of the grid cells the study refers to 2_merged_da_data.csv contains a row for each grid cell describing the attribution categories and the number of weighted grid cells for each climate driver.
DOI: 10.5281/zenodo.5257161
title: Source data for the manuscript "Theory of branching morphogenesis by local interactions and global guidance"

description: The zip file includes source data used in the main text of the manuscript "Theory of branching morphogenesis by local interactions and global guidance", as well as a representative Jupyter notebook to reproduce the main figures. A sample script for the simulations of branching and annihilating random walks is also included (Sample_script_for_simulations_of_BARWs.ipynb) to generate exemplary branched networks under external guidance. A detailed description of the simulation setup is provided in the supplementary information of the manuscipt.
DOI: 10.5281/zenodo.5257160
title: Source data for the manuscript "Theory of branching morphogenesis by local interactions and global guidance"

description: The zip file includes source data used in the main text of the manuscript "Theory of branching morphogenesis by local interactions and global guidance", as well as a representative Jupyter notebook to reproduce the main figures. A sample script for the simulations of branching and annihilating random walks is also included (Sample_script_for_simulations_of_BARWs.ipynb) to generate exemplary branched networks under external guidance. A detailed description of the simulation setup is provided in the supplementary information of the manuscipt.
DOI: 10.5281/zenodo.5258011
title: Data repository of the paper "Expectation Values from the Single-Layer Quantum Approximate Optimization Algorithm on Ising Problems"

description: This data repository contains the I-set instances of the paper "Expectation Values from the Single-Layer Quantum Approximate Optimization Algorithm on Ising Problems".
DOI: 10.5281/zenodo.5258010
title: Data repository of the paper "Expectation Values from the Single-Layer Quantum Approximate Optimization Algorithm on Ising Problems"

description: This data repository contains the I-set instances of the paper "Expectation Values from the Single-Layer Quantum Approximate Optimization Algorithm on Ising Problems".
DOI: 10.15142/t3q30w
title: Data from: Further Examination of the Geographic Range of Eriogonum corymbosum var. nilesii (Polygonaceae)

description: The buckwheat Eriogonum corymbosum is widely distributed throughout the southwestern United States, forming a complex of eight varieties. Eriogonum corymbosum var. nilesii is a primarily yellow-flowered taxon reported only from Clark County, Nevada. A previous genetic study by our research group found that variety nilesii is genetically distinct from other E. corymbosum varieties, based on a limited number of populations. Here, we assess genetic variation in 14 newly sampled yellow-flowered populations from southern Nevada, southern Utah, and northern Arizona, and compare them to genetic variation in six populations of previously determined E. corymbosum varieties. Of the new populations, we identified four as variety nilesii, four as variety aureum, three as variety glutinosum, two as apparent hybrids involving varieties aureum and nilesii, and one as a more distantly related admixture. Our results extend the range and area of E. corymbosum var. nilesii considerably. However, this extended range is confined to the Mojave Desert region of southern Nevada, and the number of known populations remains limited.
DOI: 10.15142/t33882
title: Data from: Genotyping-by-Sequencing for Populus Population Genomics: An Assessment of Genome Sampling Patterns and Filtering Approaches

description: Continuing advances in nucleotide sequencing technology are inspiring a suite of genomic approaches in studies of natural populations. Researchers are faced with data management and analytical scales that are increasing by orders of magnitude. With such dramatic advances comes a need to understand biases and error rates, which can be propagated and magnified in large-scale data acquisition and processing. Here we assess genomic sampling biases and the effects of various population-level data filtering strategies in a genotyping-by-sequencing (GBS) protocol. We focus on data from two species of Populus, because this genus has a relatively small genome and is emerging as a target for population genomic studies. We estimate the proportions and patterns of genomic sampling by examining the Populus trichocarpa genome (Nisqually-1), and demonstrate a pronounced bias towards coding regions when using the methylation-sensitive ApeKI restriction enzyme in this species. Using population-level data from a closely related species (P. tremuloides), we also investigate various approaches for filtering GBS data to retain high-depth, informative SNPs that can be used for population genetic analyses. We find a data filter that includes the designation of ambiguous alleles resulted in metrics of population structure and Hardy-Weinberg equilibrium that were most consistent with previous studies of the same populations based on other genetic markers. Analyses of the filtered data (27,910 SNPs) also resulted in patterns of heterozygosity and population structure similar to a previous study using microsatellites. Our application demonstrates that technically and analytically simple approaches can readily be developed for population genomics of natural populations.
DOI: 10.5281/zenodo.5248498
title: Dataset from: "Adjoint methods for quasisymmetry of vacuum fields on a surface"

description: Adjoint methods can speed up stellarator optimisation by providing gradient information more efficiently compared to finite-difference evaluations. Adjoint methods are herein applied to vacuum magnetic fields, with objective functions targeting quasisymmetry and a rotational transform value on a surface. To measure quasisymmetry, a novel way of evaluating approximate flux coordinates on a single flux surface without the assumption of a neighbourhood of flux surfaces is proposed. The shape gradients obtained from the adjoint formalism are evaluated numerically and verified against finite-difference evaluations.
DOI: 10.5281/zenodo.5248497
title: Dataset from: "Adjoint methods for quasisymmetry of vacuum fields on a surface"

description: Adjoint methods can speed up stellarator optimisation by providing gradient information more efficiently compared to finite-difference evaluations. Adjoint methods are herein applied to vacuum magnetic fields, with objective functions targeting quasisymmetry and a rotational transform value on a surface. To measure quasisymmetry, a novel way of evaluating approximate flux coordinates on a single flux surface without the assumption of a neighbourhood of flux surfaces is proposed. The shape gradients obtained from the adjoint formalism are evaluated numerically and verified against finite-difference evaluations.
DOI: 10.15142/t3k88d
title: Grazing Exclosure Experiment on the Henry Mountains of Southern Utah

description: The data contained herein are the results of a grazing exclosure experiment on the Henry Mountains of S. Utah [38°5’ N, 100°50’W] to determine the relative impacts of bison, cattle, and lagomorphs on forage availability. Exclosures were erected in October 2011 and the standing crop of grass inside both exclosure types (full and partial), as well as an open reference plot was clipped in October 2012. Additionally, the local ranching community was surveyed to measure their perceptions of the bison – cattle conflict in the Henry Mountains.
DOI: 10.6084/m9.figshare.16437948
title: lagrangian0350.h5

description: Visualization of Lagrangian aggregates. The datasets saved in file lagrangian0350.h5 can be loaded on PARAVIEW with the corresponding file XDMF.lagrangian0350.xmf.
DOI: 10.6084/m9.figshare.16437948.v2
title: lagrangian0350.h5

description: Visualization of Lagrangian aggregates. The datasets saved in file lagrangian0350.h5 can be loaded on PARAVIEW with the corresponding file XDMF.lagrangian0350.xmf.
DOI: 10.6084/m9.figshare.16437948.v1
title: lagrangian0350.h5

description: Visualization of Lagrangian aggregates. The datasets saved in file lagrangian0350.h5 can be loaded on PARAVIEW with the corresponding file XDMF.lagrangian0350.xmf.
DOI: 10.5281/zenodo.5257676
title: #panamapapers crawl; May 1-7, 2016

description: Consists of a web crawl of unique URLs tweeted with the #panamapapers hashtag. #panamapapers collection took place from April 4-29, 2016. Unique URLs were extracted from the dataset, and harvested with Heritrix on May 1-7, 2016.
description: This research was supported by a research grant -- 435-2015-0011 -- issued by Social Sciences and Humanities Research Council.
DOI: 10.5281/zenodo.5257675
title: #panamapapers crawl; May 1-7, 2016

description: Consists of a web crawl of unique URLs tweeted with the #panamapapers hashtag. #panamapapers collection took place from April 4-29, 2016. Unique URLs were extracted from the dataset, and harvested with Heritrix on May 1-7, 2016.
description: This research was supported by a research grant -- 435-2015-0011 -- issued by Social Sciences and Humanities Research Council.
DOI: 10.26078/8jjx-1v90
title: Profiling of small non-coding RNA in bovine somatic cell nuclear transfer embryos during early development through the maternal-to-embryonic transition.

description: Supplementary File 1. Read lengths and annotation summaries of sncRNA: Microsoft Excel document with information from small RNA sequencing on the aligned, annotated reads.

Supplementary File 2. Normalized and variance-stabilized values for annotated sncRNAs: Microsoft Excel document with normalized and variance-stabilized reads generated by RNA sequencing of small non-coding RNA from cattle embryos.

Supplementary File 3. Results of DESeq2 analyses for miRNAs, tRNA fragments and piRNAs: Microsoft Excel document with results of DESeq2 differential expression analysis comparing scNT vs IVF embryos at each developmental stage and sequential comparisons of developmental stage for both IVF and scNT embryos.

Supplementary File 4. TargetScan prediction of mRNA targets for differentially expressed miRNAs: Microsoft Excel document providing results of TargetScan prediction of mRNA targets for differentially expressed miRNAs.

Supplementary File 5. Results of Metascape ontology analyses for predicted mRNA targets of differentially expressed miRNAs: Microsoft Excel document providing results of Metascape ontology analysis for biological processes associated with differentially expressed miRNAs.

Supplementary File 6 . Mapping of piRNAs to transposable elements: Microsoft Excel document providing results of ProTrac mapping of putative piRNAs to transposable elements in the bovine genome.
DOI: 10.6073/pasta/ae1a12182ef56a1bfb09c4b4529e0912
title: Burn Study Sites Quadrat Data for the Net Primary Production Study at the Sevilleta National Wildlife Refuge, New Mexico

description: In 2003, the U.S. Fish and Wildlife Service conducted a prescribed burn over a large part of the northeastern corner of the Sevilleta National Wildlife Refuge. Following this burn, a study was designed to look at the effect of fire on above-ground net primary productivity (ANPP) (i.e., the change in plant biomass, represented by stems, flowers, fruit and foliage, over time) within three different vegetation types: mixed grass (MG), mixed shrub (MS) and black grama (G). Forty permanent 1m x 1m plots were installed in both burned and unburned (i.e., control) sections of each habitat type. The core black grama site included in SEV129 is used as a G control site for analyses and does not appear in this dataset. The MG control site caught fire unexpectedly in the fall of 2009 and some plots were subsequently moved to the south. For details of how the fire affected plot placement, see Methods below. In spring 2010, sampling of plots 16-25 was discontinued at the MG (burned and control) and G (burned treatment only) sites, reducing the number of sampled plots to 30 at each.To measure ANPP (i.e., the change in plant biomass, represented by stems, flowers, fruit and foliage, over time), the vegetation variables in this dataset, including species composition and the cover and height of individuals, are sampled twice yearly (spring and fall) at each plot. The data from these plots is used to build regressions correlating biomass and volume via weights of select harvested species obtained in SEV157, "Net Primary Productivity (NPP) Weight Data." This biomass data is included in SEV185, "Burn Study Sites Seasonal Biomass and Seasonal and Annual NPP Data."
DOI: 10.26078/svr1-5r53
title: Mapping transcriptional changes associated with the maternal-to-embryonic transition in bovine embryos to small non-coding RNA profiles in both in vitro-fertilized and scNT cattle embryos

description: Supplementary File 1. Normalized reads for annotated mRNA transcripts. Microsoft Excel document providing normalized sequencing reads per sample.

Supplementary File 2. Results of DESeq2 analyses for annotated mRNAs. Microsoft Excel document with results of DESeq2 differential expression analysis comparing scNT vs IVF embryos at each developmental stage and sequential comparisons of developmental stage for both IVF and scNT embryos.

Supplementary File 3. Results of Metascape ontology analyses for differentially expressed mRNAs. Microsoft Excel document with results of Metascape ontology analyses for biological processes associated with predicted mRNA targets of differentially expressed miRNAs.

Supplementary File 4. Cytoscape networks for differentially expressed miRNAs and their predicted mRNA targets. PDF document depicting Cytoscape networks for differentially expressed miRNAs and their predicted targets.
DOI: 10.26078/j19s-d420
title: Tabletop to Screen

description: In this project we introduced students to coding via analog board games. Then students played digital instantiations of those board games. While students played the digital versions of the game, teachers leveraged similarities between the board game and the digital environment to introduce programming concepts. Finally, students created their own digital board games, applying the programming concepts that they learned in the first two parts. This project was implemented in both the students’ classroom and library time. Classroom time was used to introduced the target concepts, while library time was used to apply what was learned in the classroom. We measured student self-efficacy, interest, and perceived support around computing in both enactments of this project. Further, in the second enactment we collected data related to student learning.The first enactment included 8-weeks of instruction, while the second enactment was reduced to 7-weeks. While the overall structure of intervention was similar across the two enactments we did make changes based on the first enactment. Further, there are several variables that are similar across both data sets, however changes were made in the second data to remove some variables and to add exit tickets that measured student interest during library time. For a more detailed description of the project please visit our website: https://sites.google.com/view/t2sresources/home?authuser=0.
DOI: 10.15142/t3hp4d
title: Shrub Consumption and Immediate Changes in Shrub Community and Spatial Patterns by Reintroduced Fire in Yosemite National Park, California, USA; Supplemental Information

description: Fire behavior in the Yosemite Forest Dynamics Plot during the Rim Fire as captured by the USFS Fire Behavior Assessment Team and reported in Ewell, C., D.F. Smith, M. Hilden, S. Greene, D. Coultrap, K. Robinson, N. Vaillant, A. Reiner, T. Norman. 2015. 2013 Rim Fire Stanislaus National Forest and Yosemite National Park Fire Behavior Assessment Team Summary Report. Each video was started based on a thermocouple trigger when the fire reached it.
DOI: 10.15142/t32w5t
title: USU Rayleigh-scatter lidar 2014-2015 Nightly Temperatures

description: Temperatures from a collocated Rayleigh-scatter lidar (RSL) and sodium resonance lidar were compared night-by-night, at different altitude levels, and hour-by-hour.

Three zipped files are provided.

USU RSL 2014-2015 [O] Corrected Temperatures.zip contains 36 files, one per night and hour, in RSLHourlyTemperaturesYYYYMMDDhour#.txt filename format.

USU RSL 2014-2015 Hourly Temperatures.zip contains 36 files, one per night and hour, in RSLHourlyTemperaturesYYYYMMDDhour#.txt filename format.

USU RSL 2014-2015 Nightly Temperatures.zip contains 19 files, one per night, in RSLTemperaturesYYYYMMDD.txt filename format.
DOI: 10.15142/t3ps74
title: General NM data Jakus and Akhundjanov

description: Large, landscape-scale national monuments have long been controversial. It has been claimed that large monuments harm local economies by restricting growth of the grazing, timber, mining, and energy industries. Others have asserted that large monuments aid economic growth by reducing reliance on volatile commodity markets and fostering tourism growth. In this study, we use a synthetic control approach to measure the average causal effect of nine national monument designations on county-level per capita income. We find no evidence that monument designation affected per capita income in any of 20 counties hosting nine large (>50,000 acres) national monuments established under the Antiquities Act (six monuments) or by legislative action (three monuments). The broad economic claims of both advocates and critics of large national monuments have little empirical support. The absence of a designation effect for large national monuments is likely due to the attributes of federal land and the legal constraints under which it is managed.