The dataset Sample Clauses

The dataset a. The dataset to which the license relates consists of all the databases, documentation and other data files and documents that form part of this dataset, which have been transferred by the Depositor. b. The Depositor declares that the dataset corresponds to the specification provided. c. The Depositor declares that the dataset contains no data or other elements that are, either in themselves or in the event of their publication, contrary to Dutch law. d. The Depositor indemnifies the Repository against all claims by third parties relating to the content of the dataset. e. The Depositor will supply the dataset by means of a method and medium deemed acceptable by the Repository.
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The dataset a. The dataset to which the licence relates consists of all the databases, documentation and other data files and documents that form part of this dataset, which have been transferred by the Depositor. b. The Depositor declares that the dataset corresponds to the specification provided. c. The Depositor declares that the dataset contains no data or other elements that are contrary to Dutch law. d. The Depositor will supply the dataset by means of a method and medium deemed acceptable by the Repository.
Sample 1Sample 2
The dataset. The systematic analysis used information from a comprehensive homogeneous segment dataset developed during previous research (van Xxxxxxxxx). Segments located within a rural area (i.e. outside urban boundaries as defined by FHWA) with one through lane per direction were included in the systematic assessment. The original homogeneous data were assembled using geoprocessing in ArcGIS 9.0 and dataset manipulation in the SAS 9.1 environment. The researchers used the ArmCalc module to combine data from different years. The ArmCalc module is necessary since highway milepost may change from year to year, thus requiring changes in the linear referencing system (LRS). The WSDOT Traffic Data Office (TDO) supplied the ArmCalc module. The data development process also accounted for modifications of the highway system over the analysis years. 1997 and 1998 were excluded because complete collision data are not available for these years. Data from 2006 was not included in the report because traffic volumes were not available at the time of completion of the project report. Annual averages were generally calculated for the 1999 to 2005 period. Table 1 provides the distribution of segment lengths in the homogeneous dataset for two-lane rural highways. Traffic volumes 1999 - 2005 WSDOT TDO TRIPS Dataset Geometric features: horizontal curves, vertical curves, grades 1999 – 2005 WSDOT TDO TRIPS Dataset Intersection locations and characteristics 1999 – 2005 WSDOT TDO TRIPS Dataset Lane configuration (lane width, shoulder width, special use lanes, auxiliary lanes) 1999 - 2005 WSDOT TDO TRIPS Dataset Motor vehicle collision data 1993-1996, 1999 - 2005 WSDOT TDO TRIPS Dataset Washington State Route Network for 2005-12-31 2005 WSDOT GIS layers as developed and maintained by the Office of Information Technology at WSDOT (xxxx://xxx.xxxxx.xx.xxx/mapsdata/geodatac atalog/default.htm). Urban boundaries 1999 - 2005 Pavement characteristics 1999 – 2005 The WSDOT Pavement Management System (WSPMS) that contains pavement specific data Annual weather characteristics 1993-1996, 1999 - 2005 Daily weather data from NOAA, providing information regarding rainfall, snow, and observed weather. Socio-demographic characteristics 2000 and, 2006 US Census data for 2000 by block group, using data from both the Summary File 1 and 3 datasets (US Census 2000) K12 school locations 2005 Office of Superintendent of Public Instruction in Washington.(2005) Locations with liquor licenses 2006 Washington State ...
Sample 1
The dataset. Data from all 114 patients was used in tests between demographic factors, treatment groups, and treated versus fellow eyes. Of the 114, 8 patients had EUA’s at the 1 year of age follow up visit where keratometry measurements were not made. Additionally, 1 patient did not have an EUA at the 1 year visit. This left 105 patients with keratometry measurements at 1 year of age. All comparisons and tests for demographic factors, treatment groups, and treated versus fellow eyes at 1 year of age, and the change between baseline and 1 year of age, were based on these 105 patients. Of those 40 patients who had surgeries reviewed by Xx. Xxxxxxxxx, 4 did not have keratometry measurements at 1 year of age; the comparisons and the change variables for all surgical factors excepting treatment were thus among 36 patients.
Sample 1

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  • Electronic Record Search The Reporting Estonian Financial Institution must review electronically searchable data maintained by the Reporting Estonian Financial Institution for any of the following U.S. indicia: a) Identification of the Account Holder as a U.S. citizen or resident; b) Unambiguous indication of a U.S. place of birth; c) Current U.S. mailing or residence address (including a U.S. post office box); d) Current U.S. telephone number; e) Standing instructions to transfer funds to an account maintained in the United States; f) Currently effective power of attorney or signatory authority granted to a person with a U.S. address; or g) An “in-care-of” or “hold mail” address that is the sole address the Reporting Estonian Financial Institution has on file for the Account Holder. In the case of a Preexisting Individual Account that is a Lower Value Account, an “in-care-of” address outside the United States or “hold mail” address shall not be treated as U.S. indicia.

  • Client Data The Subrecipient shall maintain client data demonstrating client eligibility for services provided. Such data shall include, but not be limited to, client name, address, income level or other basis for determining eligibility, and description of service provided. Such information shall be made available to Grantee monitors or their designees for review upon request.

  • Data Encryption Contractor must encrypt all State data at rest and in transit, in compliance with FIPS Publication 140-2 or applicable law, regulation or rule, whichever is a higher standard. All encryption keys must be unique to State data. Contractor will secure and protect all encryption keys to State data. Encryption keys to State data will only be accessed by Contractor as necessary for performance of this Contract.

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