Filter Results
9617508 results
Supplementary material to Olierook et al., 2020 Precambrian Research
Data Types:
  • Tabular Data
  • Dataset
  • Document
Results of wood decay assays involving known wood-decaying fungi and bark beetle-associated fungi.
Data Types:
  • Tabular Data
  • Dataset
Total RNA was purified from E. pacifica using with an RNeasy Lipid tissue mini kit. The library of E. pacifica for next generation sequencing was made using with a TruSeq RNA library prep kit v2 (Illumina). RNA purification and library preparation were performed according to the manufacturers’ instructions. The library was analyzed by Miseq using a Miseq reagent kit v3 (600 cycle) (Illumina). The fastaq data was assembled by Trinity.
Data Types:
  • Dataset
  • Text
  • File Set
Table S2 Normalised signal values from arrays in this study
Data Types:
  • Tabular Data
  • Dataset
This data was collected in the Maasai Mara National Reserve in Kenya. A total of 1,170 cattle were sampled and screened for antibodies against foot-and-mouth disease (FMD). A metafile describing the data is attached.
Data Types:
  • Tabular Data
  • Dataset
Four excel files in supplementary materials presents all fault data. Each file of “along-fault displacement” contain two sheets. One sheet show the displacements of segments, and the other sheet show the summed displacements. The file of “D_max and fault length” contain two sheets to show the max displacements and fault length of segments in the DF2 and the DF3, respectively.
Data Types:
  • Tabular Data
  • Dataset
This table identifies risk factors for malignancy associated dermatomyositis (DM) within two years of DM diagnosis. Results show that the classic subtype of DM (CDM) and older age at DM diagnosis are independent risk factors for malignancy associated disease within the first two years of disease onset. This table demonstrates that the results are unchanged when early treated DM (ETDM) patients, defined as those treated with systemic immunosuppressants for more than 2 consecutive months within the first 6 months of skin disease onset, are grouped with CDM patients. DM, dermatomyositis; CDM, classic dermatomyositis; CADM, clinically amyopathic dermatomyositis; ETDM, early treated dermatomyositis
Data Types:
  • Dataset
  • Document
In view of the irregular trace distribution of rock discontinuities, rock mass appears as both a statistical distribution and a texture distribution in the spatial image. This paper proposes a new method on statistical texture analysis for automated demarcating the homogeneous domains of trace distribution within a rock mass. Grey-Level Co-occurrence Matrix (GLCM) is used to quantify the statistical texture features of trace distribution. Relativity, Inverse Difference Moment and Entropy are screened from ten texture parameters of GLCM using robustness analysis and using principal components analysis. The reliability of three screened texture parameters is verified by comparing the Chebyshev polynomials fitting of three screened texture parameters with Normal distribution, Fisher distribution, and Exponent distribution using χ2 testing. Automated demarcation of the homogeneous domains is implemented by means of classifying three texture parameters of Relativity, Inverse Difference Moment and Entropy in a moving window using the Iterative Self-Organizing Data Analysis Techniques Algorithm (ISODATA). The screening process of texture parameters and a case study indicates that texture parameters and automated demarcation method is so robust, reliable, and efficient that it could replace the traditional representation of the probability statistics in trace distribution and greatly save a lot of manual labor in a large-scale domain.
Data Types:
  • Software/Code
  • Dataset
  • Text
Figures and Tables for the manuscript, 'Proteome- and genome- wide profiling of early duodenal cancer'.
Data Types:
  • Tabular Data
  • Dataset
  • Document
The files uploaded include working tables related to the bycatch mitigation and outcomes (Table A.1); seal exclusion device (SED) trials with problems encountered and how they were solved (Table A.2); square mesh net barrier trials (Table A.3); underwater footage analysed (Table A.4) and the current license conditions regarding SED requirements (Fig.A.1).
Data Types:
  • Slides
  • Dataset
  • Document
4