Sentences with phrase «full dataset of»

For those wishing to gain access to Disrupt Africa's full database of fintech startups, this publication features both the Finnovating for Africa 2017 report, and an appendix containing the full dataset of 301 startups, by country and by sub-sector.

However, some of it is around (here and here), and so one can put together a full dataset of season lengths, skating days (since 1995), and opening / closing dates (since 2002).

Returns the full dataset of monthly inflation rates from the very begining to now, month over month.

If you wish to download the full dataset of your DNA sequence, you must pay a fee to cover the cost of the Genomic Sequencing.

Not exact matches

The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.

Popular use cases include BI and Data Science on Modern Data, like Elasticsearch, S3, Hadoop and MongoDB; Data Acceleration, making even the largest datasets interactive in speed; Self - Service Data, making data consumers more independent and less reliant on IT; and Data Lineage, tracking the full lineage of data through all analytical jobs across tools and users.

In the long term, data on these indicators will be collected as part of the Maternity and Children's Dataset (MCDS), which is expected to reach full coverage and maturity by 2017.

Due to the high volume of Ron Paul mentions, Twitter withheld two full days of Paul tweets from GlobalPoint's dataset.

So that scientists around the world may continue to look for fundamental structural insights, the full, interactive imaging dataset is viewable at Mouse Connectome Project, providing a resource for researchers interested in studying the anatomy and function of cortical networks throughout the brain.

It's not entirely clear what kinds of conversations these stories sparked among users, as the researchers didn't inspect the full content of all the posts in the dataset.

The authors are strong advocates for transparent science and open - access publishing and in addition to the full release of the dataset and analysis, the complete peer review history is also being made available - a nascent practice that is gaining popularity.

The Sun is currently heading towards a period of minimum activity and an international team has used the full BiSON dataset to try to look for clues in previous cycles as to what might be causing some unusual solar activity observed lately.

Dozens of new results from the full existing datasets of the Large Hadron Collider experiments are being presented for the first time.

Figure 2: The data (green) are the average of the NASA GISS, NOAA NCDC, and HadCRUT4 monthly global surface temperature anomaly datasets from January 1970 through November 2012, with linear trends for the short time periods Jan 1970 to Oct 1977, Apr 1977 to Dec 1986, Sep 1987 to Nov 1996, Jun 1997 to Dec 2002, and Nov 2002 to Nov 2012 (blue), and also showing the far more reliable linear trend for the full time period (red).

Full dataset on brain size, body size, diet, social / mating systems, group size and estimates of early Eocene fossil primate brain volumes, complied from published literature sources.

While these results show promise, larger datasets more balanced across a wider post-mortem time interval will be required to assess the full potential of the approach.

The full set of annotations, including differential expression statistics, is available as Dataset S1.

Functional connectivity is typically measured using one of three approaches: (1) regression analysis using a seed region of interest (Greicius et al., 2003; Fox et al., 2005), (2) full or partial correlation analysis of multiple regions of interest (Ryali et al., 2012), or (3) independent component analysis (ICA) of the entire imaging dataset to identify spatial maps with common temporal profiles (Beckmann and Smith, 2004; Cole et al., 2010).

This catalogue can be used not only to study chemical abundance patterns of the Galaxy but also to train data driven spectral approaches which can improve the abundance precision in a restricted dataset, but also full APOGEE sample.

In the meantime, scientists will have a lot of work ahead of them once they receive the full dataset from K2's supernova - focused campaigns.

A New Delhi - based ISO 9001 - 2008 Company founded in 1992, MapmyIndia pioneered digital mapping in India, and since 1995, through continuous field surveys and state - of - the - art mapping technology, has built its proprietary MapmyIndia Maps, the most comprehensive, accurate, robust, reliable, full - featured and continuously updated navigable map dataset for all India.

HABRI Central is the most comprehensive online database for human - animal bond research, with more than 29,000 entries including full - texts of peer - reviewed journal articles, books, white papers, videos, datasets and more.

-LSB-...] Second, the model estimates derived from the full dataset were compared to the results of independent, representative state - and city - level surveys conducted in California, Colorado, Ohio, Texas, San Francisco, and Columbus, Ohio in 2013.

Good datasets are good datasets, and the world is full of overlapping studies that re-use them.

And why has the ocean been warming throughout the 11 full years of the ARGO dataset at a rate equivalent to only 1 degree every 430 years?

Now if a 160 - year dataset A is accumulated that is full of errors and false precision, and another dataset B is accumulated that is free of such errors, would you expect A or B to be more amenable to analysis to within a millikelvin?

Since the early 1980s, some NMSs, other organizations and individual scientists have given or sold us (see Hulme, 1994, for a summary of European data collection efforts) additional data for inclusion in the gridded datasets, often on the understanding that the data are only used for academic purposes with the full permission of the NMSs, organizations and scientists and the original station data are not passed onto third parties.

Figure 2: The data (green) are the average of the NASA GISS, NOAA NCDC, and HadCRUT4 monthly global surface temperature anomaly datasets from January 1970 through November 2012, with linear trends for the short time periods Jan 1970 to Oct 1977, Apr 1977 to Dec 1986, Sep 1987 to Nov 1996, Jun 1997 to Dec 2002, and Nov 2002 to Nov 2012 (blue), and also showing the far more reliable linear trend for the full time period (red).

But in the first 11 full years of the least ill - resolved dataset we have, the 3500 + Argo bathythermograph buoys, the upper mile and a quarter of the world's oceans warmed at a rate equivalent to just 1 Celsius degree every 430 years, and the warming rate, negligible at the surface, rises faster the deeper the measurements are taken.

Chart # 1 had 1919 - 1943 anomaly plot adjusted to start at same anomaly point as 1991 - 2015 period; chart # 2 linear trends are based off plots of chart # 1; chart # 3 uses 5 - year averages calculated from each period's anomaly dataset and then the 1919 - 1943 5 yr average was adjusted (i.e. offset) to start at same anomaly point as 1991 - 2015 5 yr average; chart # 4 cumulative differences calculation: the December 31, 1943 anomaly minus the December 31, 1918 anomaly and the December 31, 2015 anomaly minus the December 31, 1990 anomaly (both calculations covering a full 300 months).

http://www.skepticalscience.com/graphics.php?g=47 The data (green) are the average of the NASA GISS, NOAA NCDC, and HadCRUT4 monthly global surface temperature anomaly datasets from January 1970 through November 2012, with linear trends for the short time periods Jan 1970 to Oct 1977, Apr 1977 to Dec 1986, Sep 1987 to Nov 1996, Jun 1997 to Dec 2002, and Nov 2002 to Nov 2012 (blue), and also showing the far more reliable linear trend for the full time period (red

Last time we checked, «Lubchenco Science» had accomplished 3 full revisions of the entire historical temperature dataset during January, adding to the 6 known full revisions done in December.

... Lubchenco has managed to squeeze another full revision of the entire temperature dataset in the last few days - making it at least 4 for January.

Punksta, the very idea that fleet data, which includes bucket data, without the benifit of a full and comprehensive survey, became a trusted dataset is overwhelming my ability to hold down lunch.

But note that HadCRUT4 is coming out soon, which is likely to give better global coverage, of the Arcticin particular, and that is likely to give results aligning more with other datasets that already take the full globe into account.

The wide range of studies conducted with the ISCCP datasets and the changing environment for accessing datasets over the Internet suggested the need for the Web site to provide: 1) a larger variety of information about the project and its data products for a much wider variety of users [e.g., people who may not use a particular ISCCP data product but could use some ancillary information (such as the map grid definition, topography, snow and ice cover)-RSB-; 2) more information about the main data products in several different forms (e.g., illustrations of the cloud analysis method) and more flexible access to the full documentation; 3) access to more data summaries and diagnostic statistics to illustrate research possibilities for students, for classroom use by educators, or for users with «simple» climatology questions (e.g., annual and seasonal means); and 4) direct access to the complete data products (e.g., the whole monthly mean cloud dataset is now available online).

ABSTRACT: Slow Fourier Transform (SFT) periodograms reveal the strength of the cycles in the full sunspot dataset (n = 314), in the sunspot cycle maxima data alone (n = 28), and the sunspot cycle maxima after they have been «secularly smoothed» using the method of Gleissberg (n = 24).

I believe it is called sample selection bias when one looks at only a small subset of the data and attempts to draw conclusions about he validity of the full dataset.

Explore the full Vote Compass dataset by choosing a question, and then selecting what demographic breakdown of responses you'd like to see.

For those wishing to access Disrupt Africa's dataset of e-commerce startups, this version of our publication includes both the Afri - Shopping 2017 report, and an appendix containing the full list of 264 startups, arranged by country, and by sub-sector.

The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.

The full dataset began with 100114 cases of patients 0 to 24 years of age.

Accordingly, we believe that the results of the study sample are generalisable to the full dataset.

Any broker with even a single dataset gets the full use and benefit of UpstreamTM.