cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14140802
title: Ability of in situ canopy spectroscopy to differentiate genotype by environment interaction in wheat

description: In recent years, the application of remote sensing techniques is gaining a growing interest and importance in agriculture. Researchers often combine data from near-infrared and red spectral bands according to their specific objectives. These types of combinations present the disadvantage of lack of sensitivity due to using a single or limited group of bands. In this work on-farm canopy spectral reflectance (CSR) data, composing of ten spectral bands (SBs) plus four spectral vegetation indices (SVIs), is considered in a joint manner to set up a methodology capable to identify genotype by environment interaction (GxE) in wheat. Spectral data are analysed over five wheat genotypes grown in five different environments. Historically breeders have recognized the potentially negative implications of GxE in selection and cultivar deployment and have focused on developing tools and resources to quantify it. We propose to perform a statistical batch processing, applying two-way analysis of variance to multiple spectral data, with genotype and environment as fixed factors. Results prove that this methodology performs well in both directions, capturing differences between genotypes within a single environment, and between environments for a single genotype, representing a step forward to converting spectral data into knowledge for the subject of GxE.
DOI: 10.6084/m9.figshare.14140802.v1
title: Ability of in situ canopy spectroscopy to differentiate genotype by environment interaction in wheat

description: In recent years, the application of remote sensing techniques is gaining a growing interest and importance in agriculture. Researchers often combine data from near-infrared and red spectral bands according to their specific objectives. These types of combinations present the disadvantage of lack of sensitivity due to using a single or limited group of bands. In this work on-farm canopy spectral reflectance (CSR) data, composing of ten spectral bands (SBs) plus four spectral vegetation indices (SVIs), is considered in a joint manner to set up a methodology capable to identify genotype by environment interaction (GxE) in wheat. Spectral data are analysed over five wheat genotypes grown in five different environments. Historically breeders have recognized the potentially negative implications of GxE in selection and cultivar deployment and have focused on developing tools and resources to quantify it. We propose to perform a statistical batch processing, applying two-way analysis of variance to multiple spectral data, with genotype and environment as fixed factors. Results prove that this methodology performs well in both directions, capturing differences between genotypes within a single environment, and between environments for a single genotype, representing a step forward to converting spectral data into knowledge for the subject of GxE.
DOI: 10.6084/m9.figshare.14178881
title: Heading variations resolve the heading-direction ambiguity in vertical-beam radar observations of insect migration

description: Vertical-beam entomological radars provide precise measurements of the body alignment of individual overflying insects but are unable to distinguish which of the two axial directions the insect is heading towards. Insects migrating at altitude typically show common alignment, although with a broad spread. We show here that when observations from multiple individual insects are available, and the insects have airspeeds of about 2 ms<sup>–1</sup> or greater, the spread in heading directions allows the heading ambiguity to be resolved (though at the sample rather than the individual level). A vector analysis of radar-measured track direction, track speed, and heading will provide consistent results for all the insects in a sample only when the heading direction is chosen correctly. With the heading then resolved, the analysis can continue to estimation of representative values for the airspeed of the insects in the sample and for the speed and direction of the wind they were flying in. This general approach can be implemented in two different ways, which we term the ‘cluster’ and ‘projection’ methods. When applied to an intense migration of large insects, probably moths, these methods produced highly consistent results from hour to hour and from one 150 m height interval to the next. Simulations show that the methods are not liable to directional bias and reveal when they are rendered ineffective by small sample sizes or low insect airspeeds; they also indicate that the cluster method handles small sample sizes better than the projection method, and its use is therefore recommended. A comparison with two previously proposed methods that use meteorological data to resolve the ambiguity shows that the new methods are more reliable. Use of this objective means of resolving the heading ambiguity will increase confidence in radar-based studies of the orientation behaviour of insect migrants and their responses to cues like sky illumination patterns, the Earth’s magnetic field, and wind.
DOI: 10.6084/m9.figshare.14178881.v1
title: Heading variations resolve the heading-direction ambiguity in vertical-beam radar observations of insect migration

description: Vertical-beam entomological radars provide precise measurements of the body alignment of individual overflying insects but are unable to distinguish which of the two axial directions the insect is heading towards. Insects migrating at altitude typically show common alignment, although with a broad spread. We show here that when observations from multiple individual insects are available, and the insects have airspeeds of about 2 ms<sup>–1</sup> or greater, the spread in heading directions allows the heading ambiguity to be resolved (though at the sample rather than the individual level). A vector analysis of radar-measured track direction, track speed, and heading will provide consistent results for all the insects in a sample only when the heading direction is chosen correctly. With the heading then resolved, the analysis can continue to estimation of representative values for the airspeed of the insects in the sample and for the speed and direction of the wind they were flying in. This general approach can be implemented in two different ways, which we term the ‘cluster’ and ‘projection’ methods. When applied to an intense migration of large insects, probably moths, these methods produced highly consistent results from hour to hour and from one 150 m height interval to the next. Simulations show that the methods are not liable to directional bias and reveal when they are rendered ineffective by small sample sizes or low insect airspeeds; they also indicate that the cluster method handles small sample sizes better than the projection method, and its use is therefore recommended. A comparison with two previously proposed methods that use meteorological data to resolve the ambiguity shows that the new methods are more reliable. Use of this objective means of resolving the heading ambiguity will increase confidence in radar-based studies of the orientation behaviour of insect migrants and their responses to cues like sky illumination patterns, the Earth’s magnetic field, and wind.
DOI: 10.6084/m9.figshare.13490271
title: Metabolic changes in cancer cells after metformin treatment

description: Proliferation measured by confluency in Incucyte ZOOM. Viability by CCK8, Alamar Blue, and direct cell counting microscopically (metformin concentration range: 1.5-24 mM). Metabolic analysis usuaing the Seahorse XF96 (metformin exposure for 48 hours, 3 mM). GLUT1 expression measured via flow cytometry. Detailed methods found in published article.
DOI: 10.6084/m9.figshare.13490271.v1
title: Metabolic changes in cancer cells after metformin treatment

description: Proliferation measured by confluency in Incucyte ZOOM. Viability by CCK8, Alamar Blue, and direct cell counting microscopically (metformin concentration range: 1.5-24 mM). Metabolic analysis usuaing the Seahorse XF96 (metformin exposure for 48 hours, 3 mM). GLUT1 expression measured via flow cytometry. Detailed methods found in published article.
DOI: 10.6084/m9.figshare.14308808
title: E-MTAB-7427

description: Melanoma cells sequenced from mice.<br>
DOI: 10.6084/m9.figshare.14308808.v1
title: E-MTAB-7427

description: Melanoma cells sequenced from mice.<br>
DOI: 10.6084/m9.figshare.14308775
title: E-MTAB-6149

description: Lung carcinoma cells sequenced from humans.<br>
DOI: 10.6084/m9.figshare.14308526
title: CRA001160

description: Pancreatic ductal adenocarcinoma cells sequenced from humans.<br>
DOI: 10.6084/m9.figshare.14294660
title: GSE75688

description: Breast cancer cells sequenced from humans.<br>
DOI: 10.6084/m9.figshare.14294660.v1
title: GSE75688

description: Breast cancer cells sequenced from humans.<br>
DOI: 10.5519/qd.t9ed8bqb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/3h4ngc
title: A taxonomic review of the genus Diptychophora Zeller (Lepidoptera, Pyralidae sensu lato, Crambinae) in Brazil, with descriptions of three new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Landry, Bernard, Becker, Vitor O. (2021): A taxonomic review of the genus Diptychophora Zeller (Lepidoptera, Pyralidae sensu lato, Crambinae) in Brazil, with descriptions of three new species. Revue suisse de Zoologie 128 (1): 73-84, DOI: 10.35929/RSZ.0036, URL: http://dx.doi.org/10.35929/rsz.0036
DOI: 10.6084/m9.figshare.14614434
title: master_metadata

description: Has EBI sample ids, microbiome sample ids, metabolome sample ids. <br>
DOI: 10.6084/m9.figshare.14614434.v1
title: master_metadata

description: Has EBI sample ids, microbiome sample ids, metabolome sample ids. <br>
DOI: 10.6084/m9.figshare.14141444
title: Banco de dados do perfil Sócio-político e da presença digital da Dissertação: BLACK-OUT PARLAMENTAR: O PROCESSO DE REPRESENTAÇÃO DOS DEPUTADOS FEDERAIS AUTODECLARADOS PRETOS DA 56ª LEGISLATURA BRASILEIRA FRENTE A COMUNICAÇÃO EM AMBIENTES DIGITAIS.

description: O banco de dados é composto por 21 linhas, cada linha representa um deputado federal eleito no ano de 2018 que se autodeclarou preto em seu registro de candidatura dentro do Tribunal Superior Eleitoral (TSE). A partir do recorte do objeto, foi estabelecido um livro de códigos de 44 categorias[DJFM1] para coletar as informações. O livro de códigos se divide em três partes, a primeira é composta por variáveis que constroem o perfil do deputado, sendo elas: 1) reeleição (apenas do cargo de deputado federal); 2) sigla do partido; 3) ideologia do partido filiado; 4) nome do deputado; 5) nome da coligação; 6) profissão; 7) sexo; 8) grau de instrução.
DOI: 10.6084/m9.figshare.14141417
title: Livro de códigos da Dissertação: BLACK-OUT PARLAMENTAR: O PROCESSO DE REPRESENTAÇÃO DOS DEPUTADOS FEDERAIS AUTODECLARADOS PRETOS DA 56ª LEGISLATURA BRASILEIRA FRENTE A COMUNICAÇÃO EM AMBIENTES DIGITAIS

description: Este livro de códigos está dividido em três partes: A) indicadores políticos e institucionais; B) presença online; C) representação online. Foi construído primeiramente compreender o perfil sociopolítico dos deputados federais pretos a partir dos dados provenientes do TSE e da API da câmara dos deputados, em um segundo momento buscando compreender a presença digital desta elite, coletando os dados a partir de uma prosopografia digital e por fim, analisar postagens de parlamentares no Twitter, com o objetivo de entender o processo de representação entre eles e seus representados. Para a construção desse livro de códigos, foi usada como base três outras pesquisas, a primeira que observava o uso das TICs dentro do legislativo federal, a partir de entrevistas com os deputados (PEREIRA; SANTOS; BERNARDES, 2019), a segunda examina a utilização dos storys do Instagram pelos presidenciáveis nas eleições brasileiras de 2018 (SAMPAIO et al, 2020), ao passo que a terceira leva em conta os indicadores para a construção de um tipo de representante dentro das redes sociais digitais (SHPAKOVSKAYA, 2019).
DOI: 10.6084/m9.figshare.14141462
title: Banco de dados da codificação da conta oficial do Twitter da Dissertação: BLACK-OUT PARLAMENTAR: O PROCESSO DE REPRESENTAÇÃO DOS DEPUTADOS FEDERAIS AUTODECLARADOS PRETOS DA 56ª LEGISLATURA BRASILEIRA FRENTE A COMUNICAÇÃO EM AMBIENTES DIGITAIS

description: O banco de dados é composta pelos indicadores de representação social digital, construídos com o objetivo de formular os tipos de representantes a partir dos critérios definidos por Shpakovskaya (2019). Desse modo, ela é composta por 15 variáveis categóricas, sendo elas: 1) Informações gerais – V2) Nome do Parlamentar; 2) Características referentes a Conta do Parlamentar (Conectividade, interatividade e cotidianidade) – V3) Ano de entrada no Twitter; 2.1) Conectividade - V4) Número total de postagens, V5) Total de fãs, V6) Quantidade de repostagens: 2.2) Interatividade - V7) Quantidade de comentários, V8) Quantidade de Amei; 2.3) Cotidianidade - V9) frequência das publicações; 3) Representação e engajamento - V10) Chamamento à participação, V11) Menciona algum movimento social, V12) Post direcionado a um público específico?; 4) Temáticas das postagens - V13) temática política geral, V14) Apresenta temática racial?, V14.1) Qual temática racial apresenta?
DOI: 10.6084/m9.figshare.14141417.v1
title: Livro de códigos da Dissertação: BLACK-OUT PARLAMENTAR: O PROCESSO DE REPRESENTAÇÃO DOS DEPUTADOS FEDERAIS AUTODECLARADOS PRETOS DA 56ª LEGISLATURA BRASILEIRA FRENTE A COMUNICAÇÃO EM AMBIENTES DIGITAIS

description: Este livro de códigos está dividido em três partes: A) indicadores políticos e institucionais; B) presença online; C) representação online. Foi construído primeiramente compreender o perfil sociopolítico dos deputados federais pretos a partir dos dados provenientes do TSE e da API da câmara dos deputados, em um segundo momento buscando compreender a presença digital desta elite, coletando os dados a partir de uma prosopografia digital e por fim, analisar postagens de parlamentares no Twitter, com o objetivo de entender o processo de representação entre eles e seus representados. Para a construção desse livro de códigos, foi usada como base três outras pesquisas, a primeira que observava o uso das TICs dentro do legislativo federal, a partir de entrevistas com os deputados (PEREIRA; SANTOS; BERNARDES, 2019), a segunda examina a utilização dos storys do Instagram pelos presidenciáveis nas eleições brasileiras de 2018 (SAMPAIO et al, 2020), ao passo que a terceira leva em conta os indicadores para a construção de um tipo de representante dentro das redes sociais digitais (SHPAKOVSKAYA, 2019).
DOI: 10.6084/m9.figshare.14141444.v1
title: Banco de dados do perfil Sócio-político e da presença digital da Dissertação: BLACK-OUT PARLAMENTAR: O PROCESSO DE REPRESENTAÇÃO DOS DEPUTADOS FEDERAIS AUTODECLARADOS PRETOS DA 56ª LEGISLATURA BRASILEIRA FRENTE A COMUNICAÇÃO EM AMBIENTES DIGITAIS.

description: O banco de dados é composto por 21 linhas, cada linha representa um deputado federal eleito no ano de 2018 que se autodeclarou preto em seu registro de candidatura dentro do Tribunal Superior Eleitoral (TSE). A partir do recorte do objeto, foi estabelecido um livro de códigos de 44 categorias[DJFM1] para coletar as informações. O livro de códigos se divide em três partes, a primeira é composta por variáveis que constroem o perfil do deputado, sendo elas: 1) reeleição (apenas do cargo de deputado federal); 2) sigla do partido; 3) ideologia do partido filiado; 4) nome do deputado; 5) nome da coligação; 6) profissão; 7) sexo; 8) grau de instrução.
DOI: 10.6084/m9.figshare.14141462.v1
title: Banco de dados da codificação da conta oficial do Twitter da Dissertação: BLACK-OUT PARLAMENTAR: O PROCESSO DE REPRESENTAÇÃO DOS DEPUTADOS FEDERAIS AUTODECLARADOS PRETOS DA 56ª LEGISLATURA BRASILEIRA FRENTE A COMUNICAÇÃO EM AMBIENTES DIGITAIS

description: O banco de dados é composta pelos indicadores de representação social digital, construídos com o objetivo de formular os tipos de representantes a partir dos critérios definidos por Shpakovskaya (2019). Desse modo, ela é composta por 15 variáveis categóricas, sendo elas: 1) Informações gerais – V2) Nome do Parlamentar; 2) Características referentes a Conta do Parlamentar (Conectividade, interatividade e cotidianidade) – V3) Ano de entrada no Twitter; 2.1) Conectividade - V4) Número total de postagens, V5) Total de fãs, V6) Quantidade de repostagens: 2.2) Interatividade - V7) Quantidade de comentários, V8) Quantidade de Amei; 2.3) Cotidianidade - V9) frequência das publicações; 3) Representação e engajamento - V10) Chamamento à participação, V11) Menciona algum movimento social, V12) Post direcionado a um público específico?; 4) Temáticas das postagens - V13) temática política geral, V14) Apresenta temática racial?, V14.1) Qual temática racial apresenta?
DOI: 10.21227/vq7x-q108
title: Veneer21

description: This Dataset consists of 2579 image pairs (5158 images in total) of wood veneers before and after drying. The data has been collected from a real plywood factory. Raute Corporation is acknowledged for making this dataset public. The manufacturing process is well visualized here: https://www.youtube.com/watch?v=tjkIYCEVXko.
DOI: 10.5281/zenodo.4767742
title: AOT_data_repo

description: Data repo for ocean test case testing new data assimilation algorithm in an idealized setting* *The research of author Elizabeth Carlson was supported in part by the NSF GRFP grant no. 1610400. This research was supported as part of the Energy Exascale Earth System Model (E3SM) project, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research. Luke Van Roekel acknowledges the support of DOE Cooperative Agreement DE-SC0019340. This research used resources provided by the Los Alamos National Laboratory Institutional Computing Program, which is supported by the U.S. Department of Energy National Nuclear Security Administration under Contract No. 89233218CNA000001. The research from author Humberto Godinez presented in this article was supported by the Laboratory Directed Research and Development program of Los Alamos National Laboratory under project number 20160599ECR. Author Adam Larios was partially supported by NSF grants DMS-1716801 and<br> CMMI-1953346. Elizabeth Carlson would like to thank the authors and the rest of the COSIM team at LANL for their hospitality and mentorship. The authors give special thanks to Dr. Philip Wolfram and Dr. Xylar Asay-Davis for their additional help with the physics and code. This research was assigned the LA-UR number LA-UR-21-21353.
DOI: 10.5281/zenodo.4767741
title: AOT_data_repo

description: Data repo for ocean test case testing new data assimilation algorithm in an idealized setting* *The research of author Elizabeth Carlson was supported in part by the NSF GRFP grant no. 1610400. This research was supported as part of the Energy Exascale Earth System Model (E3SM) project, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research. Luke Van Roekel acknowledges the support of DOE Cooperative Agreement DE-SC0019340. This research used resources provided by the Los Alamos National Laboratory Institutional Computing Program, which is supported by the U.S. Department of Energy National Nuclear Security Administration under Contract No. 89233218CNA000001. The research from author Humberto Godinez presented in this article was supported by the Laboratory Directed Research and Development program of Los Alamos National Laboratory under project number 20160599ECR. Author Adam Larios was partially supported by NSF grants DMS-1716801 and<br> CMMI-1953346. Elizabeth Carlson would like to thank the authors and the rest of the COSIM team at LANL for their hospitality and mentorship. The authors give special thanks to Dr. Philip Wolfram and Dr. Xylar Asay-Davis for their additional help with the physics and code. This research was assigned the LA-UR number LA-UR-21-21353.
DOI: 10.5281/zenodo.4771055
title: R2D Tool Example E6Shakemap

description: R2D Tool Example E6Shakemap
DOI: 10.5281/zenodo.4731206
title: R2D Tool Example E6Shakemap

description: R2D Tool Example E6Shakemap
DOI: 10.5281/zenodo.4771057
title: R2D Tool Example E7HurricaneWindFlood

description: R2D Tool Example E7HurricaneWindFlood
DOI: 10.5281/zenodo.4771056
title: R2D Tool Example E7HurricaneWindFlood

description: R2D Tool Example E7HurricaneWindFlood
DOI: 10.5281/zenodo.3825856
title: The Archaeal Proteome Project advances knowledge about archaeal cell biology through comprehensive proteomics

description: Modern proteomics approaches can explore whole proteomes within a single mass spectrometry (MS) run. However, the enormous amount of MS data generated often remains incompletely analyzed due to a lack of sophisticated bioinformatic tools and expertise needed from a diverse array of fields. In particular, in the field of microbiology, efforts to combine large-scale proteomic datasets have so far largely been missing. Thus, despite their relatively small genomes, the proteomes of most archaea remain incompletely characterized. This in turn undermines our ability to gain a greater understanding of archaeal cell biology. Therefore, we have initiated the Archaeal Proteome Project (ArcPP), a community effort that works towards a comprehensive analysis of archaeal proteomes. Starting with the model archaeon <em>Haloferax volcanii</em>, using state-of-the-art bioinformatic tools, we have: reanalyzed more than 23 Mio. spectra optimized the analysis using parameter sweeps, multiple search engines implemented in Ursgal, and the combination of resultsthrough the combined PEP approach thoroughly controlled false discovery rates for high confidence protein identifications using the picked protein FDR approach and limiting FDR to 0.5% identified more than 40k peptides, corresponding to 2930 proteins (&gt;72% of the proteome) with a median sequence coverage of 51%. Benefiting from the established bioinformatic infrastructure, we will follow up on this analysis focusing on <em>H. volcanii</em> proteogenomics as well as the characterization of various post-translational modifications. Furthermore, ArcPP will integrate quantitative results obtained from the individual datasets in order to identify common regulatory mechanisms. These studies on the <em>H. volcanii</em> proteome can serve as a blueprint for comprehensive proteomic analyses performed on a diverse range of archaea and bacteria. For further details, please refer to the following publication. Please also cite this work if you use these results for further analyses: Schulze, S., Adams, Z., Cerletti, M. <em>et al.</em> The Archaeal Proteome Project advances knowledge about archaeal cell biology through comprehensive proteomics. <em>Nat Commun</em> <strong>11, </strong>3145 (2020). https://doi.org/10.1038/s41467-020-16784-7 An interactive website to explore the combined results can be found at https://archaealproteomeproject.org/ Scripts and metadata used for the analysis can be found at https://github.com/arcpp/ArcPP Updates version 1.1.0:<br> - <em>Natrialba magadii</em> results are included in PXD009116.zip