Yes. Web-based survey data is collected/stored and compiled into an encrypted data file. There are virtually no limitations in terms of the number of cases our systems can handle in terms of the volume of survey traffic, and/or in the management/analysis of data files. On more than one occasion, we have managed data sets as large as 1,000,000 records comprised of over 500 variables.

rdiff-backup can be limited by the CPU, disk IO, or available bandwidth, and the length of a session can be affected by the amount of data, how much the data changed, and how many files are present. That said, in the typical case the number/size of changed files is relatively small compared to that of unchanged files, and rdiff-backup is often either CPU or bandwidth bound, and takes time proportional to the total number of files.

Many of our files are served as binary files. This is due to the fact that support for binary raster files is relatively standard across platforms and image processing packages. Usually one will need the pixels and lines and relevant georeferencing information. This may be found in the metadata file issued with all data downloaded from one's Workspace. If the data was served from a project-specific page, the metadata is either included in the download or is listed on the page itself.

Lots of data from the US national data centers (NOAA, USGS, NGDC, NEIC) can be used with GMT, and they are all freely available from these centers and individuals via the internet. For Unix/Windows CD-R compilations of several Gb of Earth and Ocean science data, see Geoware's GMT Companion CD-R and DVD-R products.

Because of the size of the data used, and the limited amount of data users download of the total available data, it is unlikely that p2p would make much of a dent in the problem of serving that data.

You can structure MasterFile to manage large document sets, or bulky digital evidence such as audio or video segments, in many ways. Notes' database engine has been designed to handle databases over one terabyte in size; at present however, Lotus is certifying databases only up to 64G. To handle large or mission critical data sets with MasterFile you can: split documents in to logical groups -- for example store bulky digital evidence such as audio or video in separate databases.

Yes, MySQL can store and manage 100's of GigaBytes. The size is typically only limited by the amount of hard disk space available.

If you are looking for a particular character string you think might be unique in the document, like a geographic area name or a NAICS code, use your browser's "Find" feature (hit Control-F or select Edit | Find in this page). Adobe Acrobat also has a "Find" that works in PDFs (Control-F or click on the binoculars icon). In PDFs with many tables, use the table of contents (frequently starting on page 5).

One of the largest sets of teaching material that is currently available to anyone in the world is the teaching collection at the University of Iowa. The collection consists of about 650 slides stored in the FlashPIX format which uses JPEG compression internally. The entire collection takes about 70 GB of hard drive space in it's compressed form. In just the last year, the price of a hard drive that can store 70GB of image information has dropped to about $80 US.

If there is sufficient RAM (more than 48MB) and the MaxFreshCount is 5000 or less, try increasing the MaxFreshCount to 10,000 or 15,000. If there is a lot of disk thrashing, adding more RAM might help.

Yes. Data can be exported through the use of a database download. This provides a complete export of all information collected by the system into an unconnected table like structure that you will need to assimilate. With a contract with KaleidaCare for our database download service, your data can be made available at any time with the download generated on a pre-determined schedule.

Yes, you can log to your laptop (rather difficult with a dragster, but I have done it!). Or you an purchase the optional FAST logger which is much easier. In either case you can review the run in detail including the outputs of all sensors results (IE actual Air/Fuel ratio). You can also export to a text file for import into Microsoft Excel or any other software.

Associate Systems are built to rapidly contend with high volumes of data. The very nature of a complex problem demanding an associate is that an extremely high volume of unorganized, unsorted data must be received and processed. Associates are designed specifically to be scaled in complex problem spaces. The knowledge bases used to drive an Associate may be easily modified.

its name implies, the PIXImus is built for automatic acquisition and analysis of bone and tissue of a mouse (10-50g). The PIXImus II has software that can analyze mice and other animals outside of this range, like ob\ob and infant mice, with some manual input. The imaging window (80x65mm) is large enough for the body of a mouse or similar sized animals, but will miss a portion of the head on larger mice.

The parts we manufacture vary greatly in size from small electronic components to items as large as electric motor housings.

imaginary struct */ struct MemoryStruct { char *memory; size_t size; }; /* imaginary callback function */ size_t WriteMemoryCallback(void *ptr, size_t size, size_t nmemb, void *data) { size_t realsize = size * nmemb; struct MemoryStruct *mem = (struct MemoryStruct *)data; mem->memory = (char *)realloc(mem->memory, mem->size + realsize + 1); if (mem->memory) { memcpy(&(mem->memory[mem->size]), ptr, realsize); mem->size += realsize; mem->memory[mem->size] = 0; } return realsize; }

Collectively the data sets are around 4.6 Terabytes. As such they are not available as a full package for localized download. There are, however, several data sets available for download as cache packs.

Yes, you can make up your own data types for handle values to define the syntax and semantics of the value data, and the types can be any UTF8 string. The set of types basic to system operation are described in RFC 3651, Section 3.2. If you make up your own data types, there is the potential for conflicts for handle clients that encounter types that are not recognized across the user community. To avoid this, the 0.

Your credit card data and all personal information is stored securely and is only used to process your membership. We do not sell e-mail addresses, we don't spam and all your data are strictly confidential.

According to Part 11 ?11.10 (e) audit trails must be secure, computer-generated and time-stamped to independently record the date and time of operator entries and actions that create, modify, or delete electronic records. Such audit trail documentation shall be retained for a period at least as long as that required for the subject electronic records and shall be available for agency review and copying. Audit trails should say 'who did what to your records and when (why for GLP)'.

Is there a sanctioned way of retrieving the GFS data 4 times a day? I don't want to use the READY web interface in an automated script. http://www.windguru.cz/ is a good example of what I want to do, but with a subset of data a balloonist would find useful. I have been using the GFS model data to get soundings to assist me in the running of advanced gliding courses in Australia.

Uncatalogued data sets are generally not “visible” to Arbutus Analyzer or LegacyLink™ ad hoc processes. Uncatalogued data sets can be made available by allocating them in the session JCL and accessing them based on a DDNAME.

The rate at which new series (or new years) of statistical data are added to existing data varies. To find this information about a specific data set, follow the instructions in question #3. Most descriptions of data sets include year(s) of available data.

In some cases data sets may be available from your supervisor, but you should not assume that this is the case. We do actively seek research projects with government and industry, and in many cases, data is provided. If there is a company or organization you would like to work with, it is worth approaching them to see if they are amenable to a partnership, where they provide the data, and you provide the analysis and results.

This is different for every QuickAddress data set. Please refer to the Country Data Information section of the relevant Country Information Guide.

This differs for every QuickAddress data set available, see data update frequencies for a complete overview of all update frequencies available. Alternatively, consult the relevant Country Information Guide for more detailed information.

Because of the size of the data used, and the limited amount of data users download of the total available data, it is unlikely that p2p would make much of a dent in the problem of serving that data.