Contributors: Eric Schniter, Shane J. Macfarlan, Juan J. Garcia
... In 2017 and 2018, seventy-one individuals (33 females and 38 males) from 40 ranches across three Choyero communities in the Sierra de la Giganta of Baja California Sur, Mexico were presented an ethnobiological knowledge assessment task. As a first step of the task, individuals took a vision acuity test using “tumbling E” eye charts presented on a laptop computer (see TumblingE_EyeChart.pptx), a robust and easy to use diagnostic tool that is practical for populations with innumerate or analphabetic participants (Messina et al. 2006). From this test we derived a visual acuity score [1,…11]. A higher score indicates better visual acuity. The ethnobiological knowledge assessment task presented a sequence of 137 slides on a laptop computer featuring images of 87 plants and 50 animals (see EthnobiologicalKnowledgeAssessmentTool.pptx). The order of items presented was varied among participants. Assessments of ethnobiological knowledge were conducted in Spanish in the privacy of individual homes and occurred as part of a larger set of household interviews regarding ranching demography and lifestyles. These household interviews additionally informed us of individuals’ educational achievement, their ranch affiliation, and community membership. For each of 137 plant and animal images presented in sequence, the researcher (ES) asked the participant whether they recognized the item in the image. If the participant answered affirmatively, the researcher asked the follow-up question about what the item is called. Responses were recorded and coded “correctly named” if matching locally appropriate culturally correct names used for species identification (see Macfarlan et al., 2020 http://dx.doi.org/10.17632/kjds8jztzv.1). Here we provide raw data generated by seventy-one participants (33 females and 38 male). We also include a codebook that explains data types and meanings and we provide the .pptx files for tumbling E eye charts and the ethnobiological knowledge assessment task used to generate the data in this survey.
Astrocyte-derived extracellular vesicles enhance the electrophysiological function and cell survival of human cortical neurons in vitro
Contributors: Changho Chun, Alec Smith, Deok-Ho Kim
... The immunostained image analysis of neurons created, NTA analysis of obtained EVs, image-based demonstration of EV-uptake by neurons, FACS analysis to quantify apoptotic behavior of cultures of interest, beta-galactosidase result to explain cell senescence status in each group, patch clamp experiment result to demonstrate the electrophusiological effect of astroglial EV treatment.
Data for: Development and validation of a rapid LC-MS/MS method for the quantification of mycosporines and mycosporine-like amino acids (MAAs) from cyanobacteria
Contributors: Ernani Pinto, Rios Jacinavicius, Paul F. Long, Lívia Soman, Vanessa Geraldes
... Validation Data UV-Induction experiments data
Data for: Quantitative analysis of the aqueous humor metabolites and changes in glucose metabolism in patients with central retinal vein occlusion using UHPLC-MS/MS
Contributors: Guoge Han, Meiqin He, Pinghui Wei, He Teng
... Standard Calibration Curve
Contributors: Zhouli Cheng
... source data of TET2-ZSCAN project.
Contributors: Eduardo Groisman
... Raw images corresponding to Figures 3 and 4 of FEDS paper
Contributors: kannan neelamegan, Narendra Mairpady
... Any ideal exercise under strategic planning is to be done only on the constructed average balance sheet matched with the actual P&L over a period. But, mostly all the banks derive projections only on the available audited terminal balance sheet and the P&L items. In fact, all banks may evolve for a system generated average balance sheet preferably on a fortnightly/monthly/quarterly/half yearly/yearly basis so as to assess the performance still in a better way. This may help the banks, as a ready reckoner, to arrive a short term or long term planning budget .
Contributors: Wei He
... This dataset includes unprocessed gels and cytology images of the paper "Regulated proteolysis of MutSγ controls meiotic crossing over " for Molecular Cell
Contributors: Raja Baba
... Each and every data is precise to me for work of data manipulation, each datasets are available in user api , pick the dataset from cloud computing as well as distributed systems , Obviously data manipulation done in different layer, the physcial layer, model view controller is used to design the patterns of the raw data given in multiple dimensional mean that multi-tasking effort , every time is scheduled and keep up with the compiler like java c++ , data structures is formatted within the queue is analyzed by several servers in computing mathematical and statistical environment ,