This webinar
archive on data use and early education is provided by the SECC Early Childhood Community of Practice and Mid-Atlantic Comprehensive Center, which cofacilitated the event.
This webinar
archive on data use and early education is provided by the SECC Early Childhood Community of Practice and Mid-Atlantic Comprehensive Center, which cofacilitated the event.
Not exact matches
By
using the
archived data in Bet Labs, I can quickly see how the home team has performed in divisional games, neutral games, Thursday games, teams coming off of a bye, and so
on.
Using different calibration and filtering processes, the two researchers succeeded in combining a wide variety of available
data from temperature measurements and climate
archives in such a way that they were able to compare the reconstructed sea surface temperature variations at different locations around the globe
on different time scales over a period of 7,000 years.
Using Federal Bureau of Investigation homicide reports, Congressional Research Service
data on mass shootings and online
archives of news accounts about multiple murders, Duwe has tracked U.S. rates of mass public shootings from 1915 to 2017.
The European Nucleotide
Archive, launched
on May 10 at the European Molecular Biology Laboratory's European Bioinformatics Institute in Cambridge, UK, will also offer labs free remote storage of their genome
data and
use of bioinformatics tools.
The team plans to follow it up with the release of all the raw
data and images
used to create the map, which will be available
on the Pan-STARRS1
archive in May 2017.
The exome sequences of 1,535 Kronos and 1,200 Cadenza mutants have been re-sequenced
using Illumina next - generation sequencing, the raw
data aligned to the IWGSC Chinese Spring chromosome arm survey sequence, mutations identified, and their effects predicted based
on the protein annotation available at the Ensembl Plants
archive site.
The EGA serves as
archive for publication as well as
data on several levels, including the raw
data (so they could be re-analysed in the future
using other algorithms) and the genotype calls (information about pathogenic genetic variants) provided by the
data submitters.
Up - to - date technical summaries
on this star can be found at: the HIPPARCOS Catalogue
using the VizieR Search Service mirrored from the Centre de Données astronomiques de Strasbourg (CDS); NASA's ADS Abstract Service for the Astrophysics
Data System; the SIMBAD Astronomical Database mirrored from CDS, which may require an account to access; and the NSF - funded, arXiv.org Physics e-Print
archive's search interface.
Astronomers regularly check the
archive to determine whether
data in it can be
used for a new problem they are working
on.
You agree not to engage in any of the following prohibited activities: (i) copying, distributing, or disclosing any part of the Service in any medium, including without limitation by any automated or non-automated «scraping»; (ii)
using any automated system, including without limitation «robots,» «spiders,» «offline readers,» etc., to access the Service in a manner that sends more request messages to the Company servers than a human can reasonably produce in the same period of time by
using a conventional
on - line web browser (except that Humble Bundle grants the operators of public search engines revocable permission to
use spiders to copy materials from Humble Bundle for the sole purpose of and solely to the extent necessary for creating publicly available searchable indices of the materials, but not caches or
archives of such materials); (iii) transmitting spam, chain letters, or other unsolicited email; (iv) attempting to interfere with, compromise the system integrity or security or decipher any transmissions to or from the servers running the Service; (v) taking any action that imposes, or may impose in our sole judgment an unreasonable or disproportionately large load
on our infrastructure; (vi) uploading invalid
data, viruses, worms, or other software agents through the Service; (vii) collecting or harvesting any personally identifiable information, including account names, from the Service; (viii)
using the Service for any commercial solicitation purposes; (ix) impersonating another person or otherwise misrepresenting your affiliation with a person or entity, conducting fraud, hiding or attempting to hide your identity; (x) interfering with the proper working of the Service; (xi) accessing any content
on the Service through any technology or means other than those provided or authorized by the Service; (xii) bypassing the measures we may
use to prevent or restrict access to the Service, including without limitation features that prevent or restrict
use or copying of any content or enforce limitations
on use of the Service or the content therein; (xiii) sell, assign, rent, lease, act as a service bureau, or grant rights in the Products, including, without limitation, through sublicense, to any other entity without the prior written consent of such Products» (defined below) licensors; (xiv) circumventing Service limitations
on the number of Products you may purchase, including, without limitation, creating multiple accounts and purchasing a total number of Products through such multiple accounts which exceed the per - user limitations; or (xv) except as otherwise specifically set forth in a licensor's end user license agreement, as otherwise agreed upon by a licensor in writing or as otherwise allowed under applicable law, distributing, transmitting, copying (other than re-installing software or files previously purchased by you through the Service
on computers, mobile or tablet devices owned by you, or creating backup copies of such software or files for your own personal
use) or otherwise exploiting the Products (defined below) in any manner other than for your own private, non-commercial, personal
use.
Using home price
data from national real estate brokerage Redfin and school quality data based on test scores from the Stanford Education Data Archive, the New York Times developed a series of interactive charts for a project called Good Schools, Affordable Homes: Finding Suburban Sweet Spots that examine the relations between school quality, home price, and comm
data from national real estate brokerage Redfin and school quality
data based on test scores from the Stanford Education Data Archive, the New York Times developed a series of interactive charts for a project called Good Schools, Affordable Homes: Finding Suburban Sweet Spots that examine the relations between school quality, home price, and comm
data based
on test scores from the Stanford Education
Data Archive, the New York Times developed a series of interactive charts for a project called Good Schools, Affordable Homes: Finding Suburban Sweet Spots that examine the relations between school quality, home price, and comm
Data Archive, the New York Times developed a series of interactive charts for a project called Good Schools, Affordable Homes: Finding Suburban Sweet Spots that examine the relations between school quality, home price, and commute.
In searching
on the
archive at MIT, I have located 33 runs from the GRL 2006 paper that we can
use for testing certain questions but the remaining
data was not found.
I merely wanted to point to the basic
data available
on the Met office site (an organisation I visit frequently in order to
use their
archives) and ask those saying Rose was wrong to explain why, in simple terms, when the Met office graphs seemed to show he was basically correct.
I'm sure this
data is readily available, electronically,
on a
archive server since they are — or have — already
used the
data for their own research.
Among the communities targeted by the EarthCube program, some communities, including scientists
using marine annually resolved proxy
archives, have yet to establish a cyberinfrastructure with improved standards for storage and sharing of paleoclimate
data and
archive - specific metadata
on the physical samples.
«scientists had not rigorously kept records of their
data and had also
used weak statistical methods» He's complaining that they didn't
archive records (
on time) according to a protocol that he favors (and seems to have invented).
On the plus side, the SMR paper claims to have
archived the code and
data used.
The numbers
on the LEFT side of the graphs are temperatures in degrees celsius, as can be read from the NOAA -
archived source
data file that the author
used.
I'm not sure where to find the Briffa 2000 version of Yamal, though it has been widely
used, and is probably in Steve's
archive of
data here
on CA.
For earlier times, we adopt Greenland temperature estimated as follows (33): For the period 128,700 B.P. to 340,000 B.P., this temperature was derived from a proxy based
on Antarctic ice core methane
data using the relation T = − 51.5 + 0.0802 [CH4 (ppb)-RSB- from a linear regression of Greenland temperature estimates
on Antarctic methane for the period 150 B.P. to 122,400 B.P.. For the remaining period of 122,400 B.P. to 128,700 B.P.,
data from a variety of climate
archives indicate that Greenland warming lags that of Antarctica, with rapid warming commencing around 128.5 ky B.P. in the northern North Atlantic and reaching full interglacial levels by about 127 ky B.P. (51).
For Law Dome d18O over 1931 - 1990 for the central gridcell at lag zero i.e. without any Gergian
data mining or
data torture,
using the HadCRUT3v version
on archive, I obtained a detrended correlation of 0.529, with a t - statistic of 4.71 3.65 (for 37 degrees of freedom after allowing for autocorrelation
using the prescribed technique)[updated Sep 10, 2016].
I noted that we haven't published
on the
data set that Phil
used in 1998 and didn't wish to
archive it publicly as it was a very early product that might have been state of the art at that time, but which was superseded by
data coming
on line in subequent years: noteably the LD2.1 kyr
data set and the Schneider and Steig
data sets (both
archived).
Import
data from
on - premises and third - party
archives using classifications such as age,
data type, user or groups, sensitivity or importance.
ESG has studied the value of e-discovery technologies and found that content
archiving (e-mail, files, and so
on) generates a fast payback because it centralizes
data for easy identification and collection, and companies can also
use it to enforce legal holds.
Regardless of what hardware is
used to create a document — a networked computer, personal desktop, laptop, tablet or smart phone — or if it is stored
on a central server, an individual's hard drive, or in the cloud, MetaJure quickly captures and
archives the
data.
Outlook is just an email application
used to access
data stored
on Exchange server or open up
archived PST files.
The rich set of
data from MIHOPE will not only be
used to report to Congress
on MIECHV but the
data will be
archived for restricted
use for furthering the research
on home visiting.