Resultados totales (Incluyendo duplicados): 45318
Encontrada(s) 4532 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327199
Dataset. 2022

SUPPLEMENTARY MATERIALS MICROBIAL PIONEERS OF PLASTIC COLONISATION IN COASTAL SEAWATERS

  • Latva, Mira
  • Dedman, Craig J.
  • Wright, Robyn J.
  • Polin, Marco
  • Christie-Oleza, Joseph Alexander
21 pages. -- This file contains 21 pages including cover page, four (4) figures and 15 tables: Figure S1: Principal Coordinates Analysis (PCoA) plots visualising differences in beta diversity (Bray-Curtis distance; relative abundance normalisation) between prokaryotic (16S rRNA gene) and eukaryotic (18S rRNA gene) communities in different treatments and negative control groups. -- Figure S2: Sequencing depth of seawater-incubated samples and negative control samples belonging to the prokaryotic (16S rRNA gene) and eukaryotic (18S rRNA gene) datasets. -- Figure S3: Rarefaction curves for prokaryotic (16S rRNA gene) and eukaryotic (18S rRNA gene) communities. -- Figure S4: Total relative abundance of top-10 most abundant prokaryotic and eukaryotic plastisphere taxa in each sample group at class, family and genus levels. -- Table S1: Statistical summary of PERMANOVA tests performed on Bray-Curtis and binary Jaccard distances of proportion-transformed prokaryotic (16S rRNA gene) community data. -- Table S2: Statistical summary of permutation tests for homogeneity of multivariate dispersions with Bray-Curtis and binary Jaccard distances on proportion-transformed prokaryotic (16S rRNA gene) community data. -- Table S3: Statistical summary of pairwise PERMANOVA tests with Bray-Curtis and binary Jaccard distances on proportion-transformed prokaryotic (16S rRNA gene) community data comparing differences between incubation treatments and timepoints, respectively. -- Table S4: Statistical summary of pairwise PERMANOVA tests with Bray-Curtis and binary Jaccard distances on proportion-transformed prokaryotic (16S rRNA gene) community data comparing differences between sample groups. -- Table S5: Statistical summary of PERMANOVA tests performed on Bray-Curtis and binary Jaccard distances of proportion-transformed eukaryotic (18S rRNA gene) community data. -- Table S6: Statistical summary of permutation tests for homogeneity of multivariate dispersions with Bray-Curtis and binary Jaccard distances on proportion-transformed eukaryotic (18S rRNA gene) community data. -- Table S7: Statistical summary of pairwise PERMANOVA tests with Bray-Curtis and binary Jaccard distances on proportion-transformed eukaryotic (18S rRNA gene) community data comparing differences between incubation treatments and timepoints, respectively. -- Table S8: Statistical summary of pairwise PERMANOVA tests with Bray-Curtis and binary Jaccard distances on proportion-transformed eukaryotic (18S rRNA gene) community data comparing differences between sample groups. -- Table S9: Statistical summary of two-way analysis of variance (ANOVA) and assumptions testing (Levene’s test, Shapiro-Wilk test) performed on Shannon diversity data from the prokaryotic (16S rRNA gene) dataset. -- Table S10: Statistical summary of post-hoc Tukey’s HSD tests performed on Shannon diversity data from the prokaryotic (16S rRNA gene) dataset in order to compare Shannon diversity between sample groups. -- Table S11: Statistical summary of two-way analysis of variance (ANOVA) and assumptions testing (Levene’s test, Shapiro-Wilk test) performed on Shannon diversity data from the eukaryotic (18S rRNA gene) dataset. -- Table S12: Statistical summary of post-hoc Tukey’s HSD tests performed on Shannon diversity data from the eukaryotic (18S rRNA gene) dataset in order to compare Shannon diversity between sample groups. -- Table S13: Total relative abundance of a subset of genera associated with the obligate hydrocarbonoclastic bacteria (OHCB) group in OpenCoast and Cave samples over time., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/327199
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327199
HANDLE: http://hdl.handle.net/10261/327199
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327199
PMID: http://hdl.handle.net/10261/327199
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327199
Ver en: http://hdl.handle.net/10261/327199
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327199

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327198
Dataset. 2022

SUPPORTING INFORMATION FOR CORRELATION BETWEEN STRUCTURAL FEATURES AND IONIC TRANSPORT IN LITHIUM-ION CONDUCTING GLASS-CERAMICS FROM THE LI1+XCRXGETI1-X(PO4)3 SYSTEM

  • Nuernberg, Rafael B.
  • Basbus, Juan F.
  • Lux, Kevin C.
  • Pardo Sainz, Miguel
  • Cuello, Gabriel J.
  • Rodrigues, Ana C.M.
  • Piarristeguy, Andrea A.
  • Ribes, Michael
  • Pradel, Annie
X-ray diffraction patterns of LCGTP glass–ceramics, examples of Rietveld refinements of neutron diffraction patterns, and complex impedance plots of LCGTP glass–ceramics., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/327198
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327198
HANDLE: http://hdl.handle.net/10261/327198
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327198
PMID: http://hdl.handle.net/10261/327198
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327198
Ver en: http://hdl.handle.net/10261/327198
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327198

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327203
Dataset. 2022

SUPPLEMENTARY MATERIALS FOR RATIONAL DESIGN OF MIXED-MATRIX METAL-ORGANIC FRAMEWORK MEMBRANES FOR MOLECULAR SEPARATIONS

  • Jit Datta, Shuvo
  • Mayoral, Álvaro
  • Eddaoudi, Mohamed
The PDF file includes: Materials and Methods - Supplementary Text - Figs. S1 to S47 - Tables S1 to S20 -References., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/327203
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327203
HANDLE: http://hdl.handle.net/10261/327203
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327203
PMID: http://hdl.handle.net/10261/327203
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327203
Ver en: http://hdl.handle.net/10261/327203
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327203

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327865
Dataset. 2022

TABLE_7_FROM MOUSE TO HUMAN: CELLULAR MORPHOMETRIC SUBTYPE LEARNED FROM MOUSE MAMMARY TUMORS PROVIDES PROGNOSTIC VALUE IN HUMAN BREAST CANCER.XLSX [DATASET]

  • Chang, Hang
  • Yang, Xu
  • Moore, Jade
  • Liu, Xiao-Ping
  • Jen, Kuang-Yu
  • Snijders, Antoine M.
  • Ma, Lin
  • Chou, William
  • Corchado Cobos, Roberto
  • García-Sancha, Natalia
  • Mendiburu-Eliçabe, Marina
  • Pérez-Losada, J.
  • Barcellos-Hoff, Mary Helen
  • Mao, Jian-Hua
Supplementary Table 7. Defferentially expressed genes between Subtype 2 and Subtype 1 patients., Mouse models of cancer provide a powerful tool for investigating all aspects of cancer biology. In this study, we used our recently developed machine learning approach to identify the cellular morphometric biomarkers (CMB) from digital images of hematoxylin and eosin (H&E) micrographs of orthotopic Trp53-null mammary tumors (n = 154) and to discover the corresponding cellular morphometric subtypes (CMS). Of the two CMS identified, CMS-2 was significantly associated with shorter survival (p = 0.0084). We then evaluated the learned CMB and corresponding CMS model in MMTV-Erbb2 transgenic mouse mammary tumors (n = 53) in which CMS-2 was significantly correlated with the presence of metastasis (p = 0.004). We next evaluated the mouse CMB and CMS model on The Cancer Genome Atlas breast cancer (TCGA-BRCA) cohort (n = 1017). Kaplan–Meier analysis showed significantly shorter overall survival (OS) of CMS-2 patients compared to CMS-1 patients (p = 0.024) and added significant prognostic value in multi-variable analysis of clinical and molecular factors, namely, age, pathological stage, and PAM50 molecular subtype. Thus, application of CMS to digital images of routine workflow H&E preparations can provide unbiased biological stratification to inform patient care., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/327865
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327865
HANDLE: http://hdl.handle.net/10261/327865
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327865
PMID: http://hdl.handle.net/10261/327865
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327865
Ver en: http://hdl.handle.net/10261/327865
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327865

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328251
Dataset. 2022

MALASPINA 2010 OPTICAL DATA: ACDOM_APARTICLES_KD_Z10%

  • Overmans, S.
  • Duarte, Carlos M.
  • Sobrino, Cristina
  • Iuculano, Francesca
  • Álvarez-Salgado, Xosé Antón
  • Agustí, Susana
The dataset is comprised of: downwelling diffuse attenuation coefficients, Z10%, aCDOM and ap., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/328251
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328251
HANDLE: http://hdl.handle.net/10261/328251
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328251
PMID: http://hdl.handle.net/10261/328251
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328251
Ver en: http://hdl.handle.net/10261/328251
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328251

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327978
Dataset. 2022

SUPPORTING INFORMATION FOR 3D METAL DOPING OF CORE@SHELL WÜSTITE@FERRITE NANOPARTICLES AS A PROMISING ROUTE TOWARD ROOM TEMPERATURE EXCHANGE BIAS MAGNETS

  • Muzzi, Beatrice
  • Albino, Martin
  • Petrecca, Michele
  • Innocenti, Claudia
  • Julián Fernández, César de
  • Bertoni, Giovanni
  • Marquina, Clara
  • Ibarra, M. Ricardo
  • Sangregorio, Claudio
  • AMPHIBIAN Project ID:720853
Figures and tables: X-Ray Diffraction (XRD). High Resolution Transmission Electron Microscopy (HRTEM). Electron Energy Loss Spectroscopy (EELS) analysis. Energy Dispersive X-Ray Fluorescence (EDXRF). XRD and Magnetic properties of Ni0.18Co0.22Fe0.60O@Ni0.5Co0.7Fe1.8O4 nanoparticles., Peer reviewed

DOI: http://hdl.handle.net/10261/327978
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327978
HANDLE: http://hdl.handle.net/10261/327978
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327978
PMID: http://hdl.handle.net/10261/327978
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327978
Ver en: http://hdl.handle.net/10261/327978
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/327978

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328258
Dataset. 2022

TABLE_8_FROM MOUSE TO HUMAN: CELLULAR MORPHOMETRIC SUBTYPE LEARNED FROM MOUSE MAMMARY TUMORS PROVIDES PROGNOSTIC VALUE IN HUMAN BREAST CANCER.XLSX [DATASET]

  • Chang, Hang
  • Yang, Xu
  • Moore, Jade
  • Liu, Xiao-Ping
  • Jen, Kuang-Yu
  • Snijders, Antoine M.
  • Ma, Lin
  • Chou, William
  • Corchado Cobos, Roberto
  • García-Sancha, Natalia
  • Mendiburu-Eliçabe, Marina
  • Pérez-Losada, J.
  • Barcellos-Hoff, Mary Helen
  • Mao, Jian-Hua
Supplementary Table 8. Gene ontology (GO) functional enrichment analysis of the differentially expressed genes (DEGs) for biological processes., Mouse models of cancer provide a powerful tool for investigating all aspects of cancer biology. In this study, we used our recently developed machine learning approach to identify the cellular morphometric biomarkers (CMB) from digital images of hematoxylin and eosin (H&E) micrographs of orthotopic Trp53-null mammary tumors (n = 154) and to discover the corresponding cellular morphometric subtypes (CMS). Of the two CMS identified, CMS-2 was significantly associated with shorter survival (p = 0.0084). We then evaluated the learned CMB and corresponding CMS model in MMTV-Erbb2 transgenic mouse mammary tumors (n = 53) in which CMS-2 was significantly correlated with the presence of metastasis (p = 0.004). We next evaluated the mouse CMB and CMS model on The Cancer Genome Atlas breast cancer (TCGA-BRCA) cohort (n = 1017). Kaplan–Meier analysis showed significantly shorter overall survival (OS) of CMS-2 patients compared to CMS-1 patients (p = 0.024) and added significant prognostic value in multi-variable analysis of clinical and molecular factors, namely, age, pathological stage, and PAM50 molecular subtype. Thus, application of CMS to digital images of routine workflow H&E preparations can provide unbiased biological stratification to inform patient care., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/328258
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328258
HANDLE: http://hdl.handle.net/10261/328258
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328258
PMID: http://hdl.handle.net/10261/328258
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328258
Ver en: http://hdl.handle.net/10261/328258
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328258

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328252
Dataset. 2022

SUPPLEMENTARY INFORMATION: ABERRATION-CORRECTED TRANSMISSION ELECTRON MICROSCOPY WITH ZERNIKE PHASE PLATES

  • Hettler, Simon
  • Arenal, Raúl
Appendix A. Supplementary data: MMC S1. Figures and Tables., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/328252
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328252
HANDLE: http://hdl.handle.net/10261/328252
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328252
PMID: http://hdl.handle.net/10261/328252
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328252
Ver en: http://hdl.handle.net/10261/328252
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328252

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328261
Dataset. 2022

MALASPINA 2010 OPTICAL DATA: ACDOM_APARTICLES_KD_Z10%

  • Overmans, S.
  • Duarte, Carlos M.
  • Sobrino, Cristina
  • Iuculano, Francesca
  • Álvarez-Salgado, Xosé Antón
  • Agustí, Susana
The dataset is comprised of: downwelling diffuse attenuation coefficients, Z10%, aCDOM and ap, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/328261
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328261
HANDLE: http://hdl.handle.net/10261/328261
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328261
PMID: http://hdl.handle.net/10261/328261
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328261
Ver en: http://hdl.handle.net/10261/328261
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328261

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328302
Dataset. 2022

APPENDIX A. SUPPLEMENTARY MATERIAL FOR A COMPARATIVE STUDY BETWEEN SINGLE GAS AND MIXED GAS PERMEATION OF POLYETHER-BLOCK-AMIDE TYPE COPOLYMER MEMBRANES

  • Martínez-Izquierdo, Lidia
  • Perea-Cachero, Adelaida
  • Malankowska, Magdalena
  • Téllez, Carlos
  • Coronas, Joaquín
Mixed gas separation setup: Fig. S1 Single gas separation setup: Time lag method: Fig. S2, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/328302
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328302
HANDLE: http://hdl.handle.net/10261/328302
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328302
PMID: http://hdl.handle.net/10261/328302
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328302
Ver en: http://hdl.handle.net/10261/328302
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328302

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