cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rjgtbhsnfc.5
title: Datset for A Modern Network Approach to Revisiting the Positive and Negative Affective Schedule (PANAS) Construct Validity

description: The main objective of the present study was to advance the knowledge regarding the factor structure underlying the PANAS scores by utilizing the different functionalities of the EGA method. Despite the widespread use of this instrument (Heubeck & Wilkinson, 2019), there is controversy regarding its factor structure. In light of this, EGA was used to: (1) estimate the dimensionality of the PANAS scores, (2) establish the stability of the dimensionality estimate and of the item assignments into the dimensions, and (3) assess the impact of potential redundancies across item pairs on the dimensionality and structure of the PANAS scores. This assessment was carried out across two studies that included two large samples of participants that varied across a wide range of ages and that included persons in treatment for psychological disorders. In order to reduce the possibility of capitalization on chance, the sample for Study 1 was split into two halves as recommended in the literature (Anderson & Gerbing, 1988), with the first half used to derive the optimal structure for the PANAS using EGA and exploratory structural equation modeling (ESEM; Asparouhov & Muthén, 2009), and the second half used to cross-validate it with EGA, ESEM and confirmatory factor analysis (CFA; Jöreskog, 1969). The sample for Study 2 was then employed to confirm the dimensionality and latent structure of the PANAS scores using both EGA and CFA. Additionally, the measurement invariance of the PANAS factor structure across sex, age, and treatment status was assessed in Study2 for both samples, as well as the reliability of the confirmed scales. Overall, these analyses aimed to offer more clarity to the lingering debate regarding the optimal factorial structure for the PANAS scores and to provide a framework that other researchers can use for scale validation of the scores of this or other instruments.
DOI: 10.5281/zenodo.4705166
title: "Landesgesetzblätter" 1848-1918 ALEX bibliography

description: https://alex.onb.ac.at/cgi-content/alex-iv.pl has a working search interface that enables queries on the titles of all legislation present in ALEX. Yet the complete metadata set is not available for download. For working with the title metadata, the ONB kindly provided a CSV extract of their database. Here, this data is available in BibLaTeX and Zotero RDF format, together with the conversion script as an `.ipynb` notebook. The version added in the file `lgbl_all_extra.rdf.zip` contains updated RDF formatting for easy import into Zotero. An `rdf:RDF` element wrapper is provided per entry, with a placeholder `my:RDFs` root element. It’s safe to assume CC0 https://creativecommons.org/publicdomain/zero/1.0/deed.de, even though Zenodo does not offer this licence (hence listed as CC-BY-4.0). Usage: The attached files are containing approx. 140000 titles. Bulk import may be ill advised. Copy entries into your favourite reference manager and enjoy. - unzip<br> - open in any text editor<br> - copy a portion from rdf:RDF to its closing tag<br> - in Zotero, use "file &gt; import from clipboard"<br> - check the resulting entry
description: Version 2.2 adds a separate field that concatenates "z:shortTitle" and "prism:number" into "dc:description" for the benefit of searching in plaintext
DOI: 10.5281/zenodo.4694704
title: "Landesgesetzblätter" 1848-1918 ALEX bibliography

description: https://alex.onb.ac.at/cgi-content/alex-iv.pl has a working search interface that enables queries on the titles of all legislation present in ALEX. Yet the complete metadata set is not available for download. For working with the title metadata, the ONB kindly provided a CSV extract of their database. Here, this data is available in BibLaTeX and Zotero RDF format, together with the conversion script as an `.ipynb` notebook. The version added in the file `lgbl_all_extra.rdf.zip` contains updated RDF formatting for easy import into Zotero. An `rdf:RDF` element wrapper is provided per entry, with a placeholder `my:RDFs` root element. It’s safe to assume CC0 https://creativecommons.org/publicdomain/zero/1.0/deed.de, even though Zenodo does not offer this licence (hence listed as CC-BY-4.0). Usage: The attached files are containing approx. 140000 titles. Bulk import may be ill advised. Copy entries into your favourite reference manager and enjoy. - unzip<br> - open in any text editor<br> - copy a portion from rdf:RDF to its closing tag<br> - in Zotero, use "file &gt; import from clipboard"<br> - check the resulting entry
description: Version 2.2 adds a separate field that concatenates "z:shortTitle" and "prism:number" into "dc:description" for the benefit of searching in plaintext
DOI: 10.5281/zenodo.4704979
title: mRNA-seq data from heads of Diaphorina citri carrying or not the Candidatus Liberibacter asiaticus (CLas) bacteria.

description: mRNA-seq data from heads of Diaphorina citri carrying or not the <em>Candidatus</em> Liberibacter asiaticus (CLas) bacteria.
DOI: 10.6084/m9.figshare.13681534
title: DepMap 21Q1 Public

description: This dataset contains the results of Avana library CRISPR-Cas9 genome-scale knockout (prefixed with Achilles) as well as mutation, copy number and gene expression data (prefixed with CCLE) for cancer cell lines as part of the Broad Institute’s Cancer Dependency Map project. We have repackaged our fileset to include all quarterly-updating datasets produced by DepMap.<br>The Avana CRISPR-Cas9 genome-scale knockout data has expanded to include 808 cell lines, the RNAseq data includes 1376 cell lines, and the copy number data includes 1740 cell lines. Please see the README files for details regarding data processing pipeline procedures updates.<br>As our screening efforts continue, we will be releasing additional cancer dependency data on a quarterly basis for unrestricted use. For the latest datasets available, further analyses, and to subscribe to our mailing list visit https://depmap.org.<br>Descriptions of the experimental methods and the CERES algorithm are published in http://dx.doi.org/10.1038/ng.3984. Some cell lines were process using copy number data based on the Sanger Institute whole exome sequencing data (COSMIC: http://cancer.sanger.ac.uk.cell_lines, EGA accession number: EGAD00001001039) reprocessed using CCLE pipelines. A detailed description of the pipelines and tool versions for CCLE expression can be found here: https://github.com/broadinstitute/gtex-pipeline/blob/v9/TOPMed_RNAseq_pipeline.md.<br><br>v2: changed dataset name<br>
DOI: 10.5281/zenodo.3743388
title: Gate tunability of highly efficient spin-to-charge conversion by spin Hall effect in graphene proximitized with WSe2

description: Data associated with "Gate tunability of highly efficient spin-to-charge conversion by spin Hall effect in graphene proximitized with WSe<sub>2</sub>" Publication: https://arxiv.org/abs/2006.09227 and https://aip.scitation.org/doi/10.1063/5.0006101 <br>
description: This work was supported by the Spanish MICINN under the Maria de Maeztu Units of Excellence Programme (Grant No. MDM-2016-0618), under project Grant Nos. MAT2015-65159-R, RTI2018-094861-B-100, and MAT2017-82071-ERC, and by the European Union H2020 under the Marie Curie Actions (Grant Nos. 794982-2DSTOP and 766025-QuESTech).
DOI: 10.5281/zenodo.3743387
title: Gate tunability of highly efficient spin-to-charge conversion by spin Hall effect in graphene proximitized with WSe2

description: Data associated with "Gate tunability of highly efficient spin-to-charge conversion by spin Hall effect in graphene proximitized with WSe<sub>2</sub>" Publication: https://arxiv.org/abs/2006.09227 and https://aip.scitation.org/doi/10.1063/5.0006101 <br>
description: This work was supported by the Spanish MICINN under the Maria de Maeztu Units of Excellence Programme (Grant No. MDM-2016-0618), under project Grant Nos. MAT2015-65159-R, RTI2018-094861-B-100, and MAT2017-82071-ERC, and by the European Union H2020 under the Marie Curie Actions (Grant Nos. 794982-2DSTOP and 766025-QuESTech).
DOI: 10.13012/b2idb-2865725_v3
title: Response of Soil Quality Indictors including β-glucosidase, Fluorescein Diacetate Hydrolysis and Permanganate Oxidizable Carbon

description: Dataset compiled by Yushu Xia and Michelle Wander for the Soil Health Institute. Data were recovered from peer reviewed literature reporting results for three soil quality indicators (SQIs) (β-glucosidase (BG), fluorescein diacetate (FDA) hydrolysis, and permanganate oxidizable carbon (POXC)) in terms of their relative response to management where soils under grassland cover, no-tillage, cover crops, residue return and organic amendments were compared to conventionally managed controls. Peer-reviewed articles published between January of 1990 and May 2018 were searched using the Thomas Reuters Web of Science database (Thomas Reuters, Philadelphia, Pennsylvania) and Google Scholar to identify studies reporting results for: “β-glucosidase”, “permanganate oxidizable carbon”, “active carbon”, “readily oxidizable carbon”, and “fluorescein diacetate hydrolysis”, together with one or more of the following: “management practice”, “tillage”, “cover crop”, “residue”, “organic fertilizer”, or “manure”. Records were tabulated to compare SQI abundance in soil maintained under a control and soil aggrading practice with the intent to contribute to SQI databases that will support development of interpretive frameworks and/or algorithms including pedo-transfer functions relating indicator abundance to management practices and site specific factors. Meta-data include the following key descriptor variables and covariates useful for development of scoring functions: 1) identifying factors for the study site (location, year of initiation of study and year in which data was reported), 2) soil textural class, pH, and SOC, 3) depth and timing of soil sampling, 4) analytical methods for SQI quantification, 5) units used in published works (i.e. equivalent mass, concentration), 6) SQI abundances, and 7) statistical significance of difference comparisons. *Note: Blank values in tables are considered unreported data.
DOI: 10.5517/ccdc.csd.cc24w6bl
title: CCDC 1992349: Experimental Crystal Structure Determination

description: Related Article: Tze Cin Owyong, Siyang Ding, Na Wu, Thomas Fellowes, Sijie Chen, Jonathan White, Wallace Wing Ho Wong and Yuning Hong|2020|Chem.Commun.|56|14853|doi:10.1039/D0CC06411D
DOI: 10.5517/ccdc.csd.cc24w6cm
title: CCDC 1992350: Experimental Crystal Structure Determination

description: Related Article: Tze Cin Owyong, Siyang Ding, Na Wu, Thomas Fellowes, Sijie Chen, Jonathan White, Wallace Wing Ho Wong and Yuning Hong|2020|Chem.Commun.|56|14853|doi:10.1039/D0CC06411D
DOI: 10.25345/c5hn60
title: MassIVE MSV000087245 - MRG proteins are shared by multiple protein complexes with distinct functions.
title: - Spliced variants (short versus long CHD) MRG15 and MRGX interactome. - Human TINTIN complex composed of BRD8/MRGBP/MRG15 or MRGX and a new subunit EP400NL. - Purification of endogenous EP400NL. - Human TINTIN regulated gene expression. - W172A Y235A MRG15 disturbs PALB2 interaction. - W78A F105A MRGBP inhibits the interaction with MRG15.
DOI: 10.34740/kaggle/dsv/2140471
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.34740/kaggle/dsv/2140470
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.6084/m9.figshare.13651466
title: PETs validity study data sets

description: Please refer: Cultural adaptation, validation and psychometric description of the Pictorial Empathy Test (PET) in the Spanish population
DOI: 10.6084/m9.figshare.13651466.v1
title: PETs validity study data sets

description: Please refer: Cultural adaptation, validation and psychometric description of the Pictorial Empathy Test (PET) in the Spanish population
DOI: 10.25919/21ng-dz09
title: Parkes observations for project P1054 semester 2021APRS_01

description: With this proposal we ask time for a timing follow-up campaign of the first 5 mllisecond pulsars discovered in the TRAPUM (TRAnsients and PUlsars with Meerkat) survey. The sources have been detected in targeted observations of Fermi unidentified point sources. At least two of the new pulsars belong to binary systems and an initial orbital period of 8.5 hrs has already been estimated for the brightest source. Timing observations have an essential role in exploiting the full potential of any pulsar discovery, allowing the precise measurement of rotational, astrometric and orbital parameters which, in turn, give us powerful tools to improve our understanding of the physics in extreme environments as well as of the population of neutron stars as a whole. The UWL receiver of the Parkes telescope is a sensitive, versatile instrument that will allow us to successfully time these new sources, in the bright-end of TRAPUM discoveries. The UWL has also the unique advantage of allowing detailed studies of the eclipses of the so-called 'spider' pulsars, the vast majority of which have an associated Fermi counterpart.
DOI: 10.6084/m9.figshare.14454471
title: Data(Human likeness)

description: Dataset.
DOI: 10.6084/m9.figshare.14454471.v1
title: Data(Human likeness)

description: Dataset.
DOI: 10.5281/zenodo.4705310
title: Material suplementario: Seguimiento y evaluación del parámetro 'estructura y función' de un tipo de hábitat lótico

description: Material suplementario del documento "Seguimiento y evaluación del parámetro 'estructura y función' de un tipo de hábitat lótico" recogido en la serie "Seguimiento y evaluación del parámetro 'estructura y función' de un tipo de hábitat lótico"
DOI: 10.5281/zenodo.4705309
title: Material suplementario: Seguimiento y evaluación del parámetro 'estructura y función' de un tipo de hábitat lótico

description: Material suplementario del documento "Seguimiento y evaluación del parámetro 'estructura y función' de un tipo de hábitat lótico" recogido en la serie "Seguimiento y evaluación del parámetro 'estructura y función' de un tipo de hábitat lótico"
DOI: 10.21227/fxcx-zh58
title: COVID-19 Lung images

description: Lung segmentation is essential indevelopingAI-assisted diagnosis methods. Here is the result of lung segmentation using morphological operation, and it has been used in our study. It contains 7053 CT slices in .jpg format. And the original dataset can be seen via the Kaggle linkhttps://www.kaggle.com/hgunraj/covidxct
DOI: 10.6084/m9.figshare.14450121
title: The Energy Savings Impact of EBCx by Building Type Dataset

description: This dataset contains the average year of construction, # of buildings, building area, location, and cost savings for 197 existing building commissioning projects (592 buildings) completed by the Texas A&M Engineering Experiment Station's Energy Systems Laboratory since the early 1990s.
DOI: 10.6084/m9.figshare.14450121.v1
title: The Energy Savings Impact of EBCx by Building Type Dataset

description: This dataset contains the average year of construction, # of buildings, building area, location, and cost savings for 197 existing building commissioning projects (592 buildings) completed by the Texas A&M Engineering Experiment Station's Energy Systems Laboratory since the early 1990s.
DOI: 10.5281/zenodo.4692459
title: JULES-CN: a coupled terrestrial Carbon-Nitrogen Scheme (JULES vn5.1)

description: This is the JULES output data that are analysed and presented in the paper entitled "JULES-CN: a coupled terrestrial Carbon-Nitrogen Scheme (JULES vn5.1)" by Wiltshire et al., 2021, DOI: https://doi.org/10.5194/gmd-2020-205. The data are annual mean model output data for vn5.1 of JULES. The filenames are in the format <strong><em>CONFIGURATION</em></strong>.<strong><em>NAME</em></strong>.<strong><em>YEAR</em></strong>.nc <strong><em>CONFIGURATION </em></strong>is one of: <em><strong>vn5.1_loff_noff_GMD </strong></em>- this is using the carbon cycle only configuration of JULES, i.e. the JULES-C configuration <em><strong>vn5.1_loff_non_GMD </strong></em>- this is using the carbon and nitrogen configuration of JULES, i.e. the JULES-CN configuration <em><strong>vn5.1_lon_non_GMD </strong></em>- this is using the carbon and nitrogen configuration of JULES with layered soil biogeochemistry, i.e. the JULES-CNlayered configuration. <strong><em>NAME </em></strong>is one of: <em><strong>S2.C_N_Annual</strong></em> - mainly carbon and nitrogen variables <em><strong>S2.Annual</strong></em> - mainly physical variables <strong><em>YEAR </em></strong>is one of: year between <em><strong>1860 </strong></em>and <em><strong>2009</strong></em>
description: This work was also supported by the Joint UK BEIS/Defra Met Office Hadley Centre Climate Programme (GA01101).
DOI: 10.5517/ccdc.csd.cc26v7s3
title: CCDC 2051015: Experimental Crystal Structure Determination

description: Related Article: Divambal Appavoo, Lara C. Spencer, Ilia A. Guzei, Carlos J. Gómez-García, Juanita L. van Wyk, James Darkwa|2021|RSC Advances|11|13475|doi:10.1039/D1RA00339A
DOI: 10.5517/ccdc.csd.cc26v7t4
title: CCDC 2051016: Experimental Crystal Structure Determination

description: Related Article: Divambal Appavoo, Lara C. Spencer, Ilia A. Guzei, Carlos J. Gómez-García, Juanita L. van Wyk, James Darkwa|2021|RSC Advances|11|13475|doi:10.1039/D1RA00339A
DOI: 10.5517/ccdc.csd.cc26v7v5
title: CCDC 2051017: Experimental Crystal Structure Determination

description: Related Article: Divambal Appavoo, Lara C. Spencer, Ilia A. Guzei, Carlos J. Gómez-García, Juanita L. van Wyk, James Darkwa|2021|RSC Advances|11|13475|doi:10.1039/D1RA00339A
DOI: 10.5517/ccdc.csd.cc26v7w6
title: CCDC 2051018: Experimental Crystal Structure Determination

description: Related Article: Divambal Appavoo, Lara C. Spencer, Ilia A. Guzei, Carlos J. Gómez-García, Juanita L. van Wyk, James Darkwa|2021|RSC Advances|11|13475|doi:10.1039/D1RA00339A
DOI: 10.5517/ccdc.csd.cc26w138
title: CCDC 2051769: Experimental Crystal Structure Determination

description: Related Article: Eleftherios Halevas, Antonios Hatzidimitriou, Barbara Mavroidi, Marina Sagnou, Maria Pelecanou, Dimitris Matiadis|2021|Molbank|2021|M1179|doi:10.3390/M1179
DOI: 10.6084/m9.figshare.14107383
title: Moderate-Dimensional Inferences on Quadratic Functionals in Ordinary Least Squares

description: Statistical inferences for quadratic functionals of linear regression parameter have found wide applications including signal detection, global testing, inferences of error variance and fraction of variance explained. Classical theory based on ordinary least squares estimator works perfectly in the low-dimensional regime, but fails when the parameter dimension <i>p<sub>n</sub></i> grows proportionally to the sample size <i>n</i>. In some cases, its performance is not satisfactory even when n≥5pn. The main contribution of this article is to develop <i>dimension-adaptive</i> inferences for quadratic functionals when limn→∞pn/n=τ∈[0,1). We propose a bias-and-variance-corrected test statistic and demonstrate that its theoretical validity (such as consistency and asymptotic normality) is adaptive to both low dimension with <i>τ</i> = 0 and moderate dimension with τ∈(0,1). Our general theory holds, in particular, without Gaussian design/error or structural parameter assumption, and applies to a broad class of quadratic functionals covering all aforementioned applications. As a by-product, we find that the classical fixed-dimensional results continue to hold <i>if and only if</i> the signal-to-noise ratio is large enough, say when <i>p<sub>n</sub></i> diverges but slower than <i>n</i>. Extensive numerical results demonstrate the satisfactory performance of the proposed methodology even when pn≥0.9n in some extreme cases. The mathematical arguments are based on the random matrix theory and leave-one-observation-out method.
DOI: 10.6084/m9.figshare.14107383.v1
title: Moderate-Dimensional Inferences on Quadratic Functionals in Ordinary Least Squares

description: Statistical inferences for quadratic functionals of linear regression parameter have found wide applications including signal detection, global testing, inferences of error variance and fraction of variance explained. Classical theory based on ordinary least squares estimator works perfectly in the low-dimensional regime, but fails when the parameter dimension <i>p<sub>n</sub></i> grows proportionally to the sample size <i>n</i>. In some cases, its performance is not satisfactory even when n≥5pn. The main contribution of this article is to develop <i>dimension-adaptive</i> inferences for quadratic functionals when limn→∞pn/n=τ∈[0,1). We propose a bias-and-variance-corrected test statistic and demonstrate that its theoretical validity (such as consistency and asymptotic normality) is adaptive to both low dimension with <i>τ</i> = 0 and moderate dimension with τ∈(0,1). Our general theory holds, in particular, without Gaussian design/error or structural parameter assumption, and applies to a broad class of quadratic functionals covering all aforementioned applications. As a by-product, we find that the classical fixed-dimensional results continue to hold <i>if and only if</i> the signal-to-noise ratio is large enough, say when <i>p<sub>n</sub></i> diverges but slower than <i>n</i>. Extensive numerical results demonstrate the satisfactory performance of the proposed methodology even when pn≥0.9n in some extreme cases. The mathematical arguments are based on the random matrix theory and leave-one-observation-out method.
DOI: 10.6084/m9.figshare.14039999
title: Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach

description: Linear mixed-effects models are widely used in analyzing clustered or repeated measures data. We propose a quasi-likelihood approach for estimation and inference of the unknown parameters in linear mixed-effects models with high-dimensional fixed effects. The proposed method is applicable to general settings where the dimension of the random effects and the cluster sizes are possibly large. Regarding the fixed effects, we provide rate optimal estimators and valid inference procedures that do not rely on the structural information of the variance components. We also study the estimation of variance components with high-dimensional fixed effects in general settings. The algorithms are easy to implement and computationally fast. The proposed methods are assessed in various simulation settings and are applied to a real study regarding the associations between body mass index and genetic polymorphic markers in a heterogeneous stock mice population.
DOI: 10.6084/m9.figshare.14039999.v2
title: Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach

description: Linear mixed-effects models are widely used in analyzing clustered or repeated measures data. We propose a quasi-likelihood approach for estimation and inference of the unknown parameters in linear mixed-effects models with high-dimensional fixed effects. The proposed method is applicable to general settings where the dimension of the random effects and the cluster sizes are possibly large. Regarding the fixed effects, we provide rate optimal estimators and valid inference procedures that do not rely on the structural information of the variance components. We also study the estimation of variance components with high-dimensional fixed effects in general settings. The algorithms are easy to implement and computationally fast. The proposed methods are assessed in various simulation settings and are applied to a real study regarding the associations between body mass index and genetic polymorphic markers in a heterogeneous stock mice population.