Filter Results
13658221 results
RNA sequencing data to Identify DEGs in control EBs and EBs irradiated at 630 nm. RNA-seq raw data 1. Control EBs - read1 & read2 (fq.gz) 2. EBs irradiated at 630 nm - read1 & read2 (fq.gz) RNA-seq raw data of this study are available at other drive (https://drive.google.com/open?id=1JJP4eRvW0r4ZviSvGQJOJKD2eb4_J6os).
Data Types:
  • Other
  • Dataset
The updated data presented here are the result of a Course-based Undergraduate Research Experience (CURE) in a General Biology course at Davidson County Community College located in Thomasville, NC. The project focuses on testing the repellent effects of essential oils against the agricultural pest Callosobruchus maculatus (Cowpea Weevil). These data were collected between the summer of 2018 until the spring of 2020.
Data Types:
  • Tabular Data
  • Dataset
SuperWASP and ASAS-SN objects from the New Astronomy paper (submitted) "Investigation of the rotation-activity relation for a sample of SuperWASP and ASAS-SN field stars". This table contains the final catalogue of 1,277 X-ray visible unique objects displaying rotational modulation in their photometric variability with corresponding, real, Gaia parallaxes.
Data Types:
  • Tabular Data
  • Dataset
Hypothesis: Does dogs exhibit different protein profile of seminal plasma and spermatozoa among breeds? What data shows: These data show the proteomic profile and its respectively gene ontology of seminal plasma and sperm cells of four purebred dogs (Golden Retriever n = 3, Bernese Mountain Dog n = 4, Great Dane n = 3, Maremmano-Abruzzese Sheepdog n = 3), with mean ages and standard deviation of 4,0 ± 1,0 years (Golden Retriever), 2,0 ± 1,0 years (Bernese Mountain Dog), 1,4 ± 0,5 years (Great Dane) and 4,0 ± 0,7 years (Maremmano-Abruzzese Sheepdog), kenneled at Sao Paulo State, Brazil. Besides How it was gathered: Entire second fraction and a portion of the third semen fraction were collected into a silicone funnel attached to a graduated plastic tube by manual stimulation of the penis in the presence of a teaser bitch, when possible. The semen was subjectively evaluated at the kennel, and only ejaculate within normal seminal parameters considered for dogs, according to Kustritz et al. (2007), were used in this study. Spermatozoa and seminal plasma were separated by centrifugation and prepared individually for proteomic analysis by ESI Q-Tof mass spectrometer. The gene ontology annotation of the proteins found within the samples was obtained using the UniprotKB website (www.uniprot.org), and considered the molecular function, biological process and cellular component categories. How the data can be interpreted: There are two folders dataset. The "Seminal plasma and sperm cell proteins" folder contain two folders, one with all seminal plasma proteins, and other folder with all sperm cell proteins, which have individual files named by breed for each dog (n=13). The “Gene ontology of seminal plasma and sperm cell proteins” contain three files: Table S1, Table S2, and Table S3. The file Table S1 contain all proteins found in seminal plasma of evaluated dogs and their respective gene ontology. The file Table S2 contain all proteins found in spermatozoa of all dogs evaluated and their respective gene ontology. The file Table S3 contain all common proteins found in seminal plasma and spermatozoa of evaluated dogs and their respective gene ontology. References: Kustritz R. The value of canine semen evaluation for practitioners. Theriogenology 2007;68(3):329-37.
Data Types:
  • Dataset
  • Document
  • File Set
Data Types:
  • Dataset
The fatigue life data enlisted in the attached Excel file corresponds to the predicted and experimental fatigue life of 718Plus reported in "Bandyopadhyay R, Prithivirajan V, Peralta AD, Sangid MD (2020). Microstructure sensitive critical plastic strain energy density criterion for fatigue life prediction across various loading regimes. Proc. R. Soc. A 20190766." For details, please check the research article at http://dx.doi.org/10.1098/rspa.2019.0766. Support for this research project was provided under Phase III 'Integrated Computational Materials Engineering (ICME) approaches to additive manufacturing, fatigue, and modeling/characterization' of the DARPA Open Manufacturing Program entitled 'Rapid Low Cost Additive Manufacturing' under contract no. HR0011-12-C-0037 to Honeywell International Inc. The authors thank the DARPA program managers, Dr. Jan Vandenbrande, and Mr. Mick Maher.
Data Types:
  • Tabular Data
  • Dataset
Data Types:
  • Dataset
SModelS is an automatized tool enabling the fast interpretation of simplified model results from the LHC within any model of new physics respecting a Z_2 symmetry. With the version 1.2 we announce several new features. First, previous versions were restricted to missing energy signatures and assumed prompt decays within each decay chain. SModelSv1.2 considers the lifetime of each Z_2-odd particle and appropriately takes into account missing energy, heavy stable charged particle and R-hadron signatures. Second, the current version allows for a combination of signal regions in efficiency map results whenever a covariance matrix is available from the experiment. This is an important step towards fully exploiting the constraining power of efficiency map results. Several other improvements increase the user-friendliness, such as the use of wildcards in the selection of experimental results, and a faster database which can be given as a URL. Finally, smodelsTools provides an interactive plots maker to conveniently visualize the results of a model scan.
Data Types:
  • Dataset
  • File Set
This data set presents supplementary material to Monroy, Oscar; Saucedo, Gerardo; Espinosa, Ruben (2020) Composting a digestate from the organic fraction of urban solid wastes (OFUSW), Revista Mexicana de Ingeniería Química. An interesting design approach to prepare a balanced composting mass is proposed based on the carbon to nitrogen ratio (C/N) and the minimum required inert material to promote aeration. By using Scheffe’s simplex centroid method to design an optimum mixture of three components (digestate, fresh OFUSW and sawdust), using two regression equations for two process variables (C/N and volatile solids), a solution is obtained for a compost with the adequate C/N for a biosolid and the highest organic matter degradation efficiency. This data set contains the diagrams (figures S1 and S2) of the experimental rigs (lab scale and bench scales compost reactors), describing air circulation, mixing and heating devices. Table S1 shows the elemental analysis (C, N and H; O is reported as the difference from the total) and the C/N of the initial compost components. Ten mixtures were prepared to yield a C/N between 25 and 35 and set to compost. The resulting C/N and volatile solids loss due to the composting process are shown in Table S2. From these results, two regression equations were obtained using PASW Statistics 18 software, which generated table S3 and the contour levels of the tricomponents plot (figure S3). Three of these initial mixtures tried in a 95 L bench scale compost batch reactor. The resulting compost was tested for toxicity with the germination index. The results of three different reactor runs were tried by triplicate with ten seeds each are shown in table S4.
Data Types:
  • Dataset
  • Document
Data Types:
  • Dataset
8