Mean reaction time (RTs; in ms) followed by the Standard Error of the Mean (SEM) and mean proportion of errors (ERR; in %) followed by standard deviation (SD), depicted separately for same and switched additions (+) and subtractions (−), for the original symbol-switching task (from Experiment 1), the symbol-switching task with letters (from Experiment 2), and the stimulus offset condition from Experiment 2, where the letters offset upon response (Fast Offset).

New Upload:

Added +32,000 more locations. For information on data calculations please refer to the methodology pdf document. Information on how to calculate the data your self is also provided as well as how to buy data for $1.29 dollars.

What you get:

The database contains 32,000 records on US Household Income Statistics & Geo Locations. The field description of the database is documented in the attached pdf file. To access, all 348,893 records on a scale roughly equivalent to a neighborhood (census tract) see link below and make sure to up vote. Up vote right now, please. Enjoy!

Household & Geographic Statistics:

• Mean Household Income (double)
• Median Household Income (double)
• Standard Deviation of Household Income (double)
• Number of Households (double)
• Square area of land at location (double)
• Square area of water at location (double)

Geographic Location:

• Longitude (double)
• Latitude (double)
• State Name (character)
• State abbreviated (character)
• State_Code (character)
• County Name (character)
• City Name (character)
• Name of city, town, village or CPD (character)
• Primary, Defines if the location is a track and block group.
• Zip Code (character)
• Area Code (character)

Abstract

The dataset originally developed for real estate and business investment research. Income is a vital element when determining both quality and socioeconomic features of a given geographic location. The following data was derived from over +36,000 files and covers 348,893 location records.

License

Only proper citing is required please see the documentation for details. Have Fun!!!

Golden Oak Research Group, LLC. “U.S. Income Database Kaggle”. Publication: 5, August 2017. Accessed, day, month year.

Sources, don't have 2 dollars? Get the full information yourself!

2011-2015 ACS 5-Year Documentation was provided by the U.S. Census Reports. Retrieved August 2, 2017, from https://www2.census.gov/programs-surveys/acs/summary_file/2015/data/5_year_by_state/

Found Errors?

Please tell us so we may provide you the most accurate data possible. You may reach us at: research_development@goldenoakresearch.com

for any questions you can reach me on at 585-626-2965

please note: it is my personal number and email is preferred

Check our data's accuracy: Census Fact Checker

Access all 348,893 location records and more:

Don't settle. Go big and win big. Optimize your potential. Overcome limitation and outperform expectation. Access all household income records on a scale roughly equivalent to a neighborhood, see link below:

Website: Golden Oak Research Kaggle Deals all databases $1.29 Limited time only

A small startup with big dreams, giving the every day, up and coming data scientist professional grade data at affordable prices It's what we do.

A detailed microbiological and geochemical study related to the alteration of basaltic glass of pillow lavas from the oceanic crust recovered from Hole 896A on the Costa Rica Rift (penetrating 290 m into the volcanic basement) has been carried out. A number of independent observations, pointing to the influence of microbes, may be summarized as follows: (1) Alteration textures are reminiscent of microbes in terms of form and shape. (2) Altered material contains appreciable amounts of C, N and K, and the N/C ratios are comparable to those of nitrogen-starved bacteria. (3) Samples stained with a dye (DAPI) that binds specifically to nucleic acids show the presence of DNA in the altered glass. Further, staining with fluorescent labeled oligonucleotide probes that hybridize specifically to 16S-ribosomal RNA of bacteria and archaea demonstrate their presence in the altered part of the glass. (4) Disseminated carbonate in the glassy margin of the majority of pillows shows delta13C values, significantly lower than that of fresh basalt, also suggests biological activity. The majority of the samples have delta18O values indicating temperatures of 20-100ºC, which is in the range of mesophilic and thermophilic micro-organisms.

Nonparametric estimates obtained with our method and parametric estimates of SI features (mean , standard deviation , median , and 95th quantile ) for different publicly available serial interval datasets. Values in round brackets correspond to confidence intervals for our method and confidence or credible intervals for parametric methods. The third column indicates the sample size. NR: Not Reported. The symbol * indicates that information was obtained by contacting the corresponding author of the article listed in the data source column.

μHP = HP mean; σ2HP = HP variance; μQT = QT mean; σ2QT = QT variance; DAY = daytime; NIGHT = nighttime; ASYMP = asymptomatic group; SYMP = symptomatic group. Results are reported as mean ± standard deviation. The symbol * indicates p<0.05 within the same group (i.e. ASYMP or SYMP) versus DAY. The symbol # indicates p<0.05 within the same period of analysis (i.e. DAY or NIGHT) versus ASYMP subjects.

Aggregate statistics (mean, (standard deviation) [minimum, maximum]) of daily entropy rate and limit of probability of different types of segments over 10 houses.

Results of Wilcoxon sign test on validation accuracy.

μHP = HP mean; σ2HP = HP variance; μQT = QT mean; σ2QT = QT variance; NMC = non mutation carrier group; ASYMP = asymptomatic group; SYMP = symptomatic group. Results are reported as mean ± standard deviation. The symbol § indicates p<0.05 versus NMC individuals. The symbol ° indicates p<0.05 versus ASYMP subjects.

Mean reaction times (RTs; in ms) followed by the Standard Error of the Mean (SEM) and mean proportion of errors (ERR, in %) followed by standard deviation (SD) for same and switched addition (+) and subtraction (−) conditions, listed separately for the arithmetic task and the symbol-identification task of Experiment 1.

Association between log cystatin-C and diabetes and death status at visit 1, visit 2, and visit 3.

The mean and standard deviation, shown in brackets, of the behavioral measures and group comparison results.

SD: standard deviation; ¥: the currency symbol of RMB; PCS: physical component summary; MCS: mental component summary.

For age, the numbers are mean years for the dyslexia and control groups. For the Raven, the numbers are mean percentiles for the dyslexia and control groups. For reading fluency, the numbers represent means of items that the dyslexia and control groups answered correctly. For Chinese character recognition, the numbers are the numbers of characters children could use correctly in word composition.Characteristics of the participants, with standard deviation in parenthesis.

Data description:

Daily total sunspot number derived by the formula: R= Ns + 10 * Ng, with Ns the number of spots and Ng the number of groups counted over the entire solar disk.

No daily data are provided before 1818 because daily observations become too sparse in earlier years. Therefore, R. Wolf only compiled monthly means and yearly means for all years before 1818.

In the TXT and CSV files, the missing values are marked by -1 (valid Sunspot Number are always positive).

New scale: The conventional 0.6 Zürich scale factor is not used anymore and A. Wolfer (Wolf's successor) is now defining the scale of the entire series. This puts the Sunspot Number at the scale of raw modern counts, instead of reducing it to the level of early counts by R. Wolf.

Error values: Those values correspond to the standard deviation of raw numbers provided by all stations. Before 1981, the errors are estimated with the help of an auto-regressive model based on the Poissonian distribution of actual Sunspot Numbers. From 1981 onwards, the error value is the actual standard deviation of the sample of raw observations used to compute the daily value. The standard error of the daily Sunspot Number can be computed by: sigma/sqrt(N) where sigma is the listed standard deviation and N the number of observations for the day. Before 1981, the number of observations is set to 1, as the Sunspot Number was then essentially the raw Wolf number from the Zürich Observatory. Contents: Column 1-3: Gregorian calendar date - Year - Month - Day Column 4: Date in fraction of year Column 5: Daily total sunspot number. A value of -1 indicates that no number is available for that day (missing value). Column 6: Daily standard deviation of the input sunspot numbers from individual stations. Column 7: Number of observations used to compute the daily value. Column 8: Definitive/provisional indicator. A blank indicates that the value is definitive. A '*' symbol indicates that the value is still provisional and is subject to a possible revision (Usually the last 3 to 6 months)

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Descriptive characteristics by background.

A positive z value means that the median of the feature for fiducial point A is larger than that for fiducial point B. Significance of the test is indicated as † for p

Mean and standard deviation and Bonferroni post hoc test of IVIRS between participants with high, middle, and low levels of experience and productivity in interdisciplinary work for Study 2.

Mean and standard deviation and Bonferroni post hoc test of IVIRS between participants with high, middle, and low levels of satisfaction regarding the results of interdisciplinary research for Study 2.

The sequence of tooth eruption follows Scheffer and Kraus [47] and is: I2, I1, I3, I2, P1, P1, I3, P2, P2, P3, P4, P3, P4, M1, C1, C1, M1, and M2 (tooth symbols expanded in Table 5). Statistically significant coefficients at P ≤ 0.05 are indicated by an asterisk. P values derive from algorithm AS 89 [48]. Statistical abbreviations and symbols are explained in Table 1.Spearman’s Rank Correlation Coefficients and Their Statistical Significance between the Sequence of Tooth Eruption and the Arithmetic Mean, Standard Deviation, and Variation and Sexual Dimorphism Indices for Tooth Lengths and Widths in Callorhinus ursinus.