This dataset includes descriptions that are used as display names for Clinicians in Kaiser Permanente's electronic medical record, corresponding patient display names that the members see in their Personal Health Record (PHR) portal and mappings to other terminologies.

This dataset describes the Release File structure of SNOMED CT, referred to as Release Format 2 (RF2). The US Edition of SNOMED CT is the official source of SNOMED CT for use in US healthcare systems. The US Edition is a standalone release that combines the content of both the US Extension and the International release of SNOMED CT.

A Simple Map Reference set is used to represent one-to-one maps between SNOMED CT concepts and codes in another terminology, classification or code system.

Logical Observation Identifiers Names and Codes (LOINC) is a database and universal standard for identifying medical laboratory observations. This dataset shows the codes which maps to source organization. Mapping each entity-specific code to its corresponding universal code can represent a significant investment of both human and financial capital.

This dataset identifies nativity by zip code tabulation areas within the United States. This dataset resulted from the American Community Survey (ACS) conducted from 2010 through 2014. The data set shows nativity at place of birth, native versus foreign-born. JSL enriched this dataset with Latitude and Longitude information and with the map information about the land and water area of zip code tabulation areas.

This dataset identifies race in detail by zip code tabulation areas within the United States. The dataset resulted from the American Community Survey (ACS) conducted from 2010 through 2014. The races included in this dataset are White, Black or African American, American Indian and Alaskan Native, Asian, Native Hawaiian and other Pacific Islander, and others. The ACS also looks at races as stand-alone, and two or more races combined.

This American Community Survey (ACS) dataset identifies poverty status by age and zip code tabulation areas within the United States, from 2012 through 2016.

This dataset identifies demographic and housing estimates including sex and age, race and housing units by zip code tabulation areas within the United States. This dataset resulted from the American Community Survey (ACS) conducted from 2011 through 2015. JSL enriched this dataset with Latitude and Longitude information and with the map information about the land and water area of zip code tabulation areas.

This dataset describes the Release File structure of SNOMED CT, referred to as Release Format 2 (RF2). The UK Edition of SNOMED CT is the official source of SNOMED CT for use in UK healthcare systems. The UK Edition is a standalone release that combines the content of both the UK Extension and the International release of SNOMED CT.

A Simple Map Reference set is used to represent one-to-one maps between SNOMED CT concepts and codes in another terminology, classification or code system.

This dataset is one of the three separate files that the ICD-10-CM MAP contains. Module Dependency reference set designates the versions of other SNOMED CT modules upon which this publication of the MAP depends. This dataset is an update of the SNOMED CT to ICD-10-CM Cross Map. The purpose of this update is to synchronize with the latest release of the US Edition of SNOMED CT by removing obsolete content.

This dataset is one of the three separate files that the ICD-10-CM MAP contains. Refset Descriptor contains metadata from the SNOMED CT metadata hierarchy which describes the attributes of the publication refsets and their information content. This dataset is an update of the SNOMED CT to ICD-10-CM Cross Map. The purpose of this update is to synchronize with the latest release of the US Edition of SNOMED CT by removing obsolete content.

This dataset shows the bike's rack (map) in the City of Chicago. These maps required a special GIS (Geographic Information System) software such as ESRI (Environmental Systems Research Institute) ArcGIS map.

This dataset is one of the three separate files that the ICD-10-CM MAP contains. Extended Map contains the core publication of MAP data. There are one or more map records for each source concept mapped, including the ICD-10-CM target codes. This dataset is an update of the SNOMED CT to ICD-10-CM Cross Map. The purpose of this update is to synchronize with the latest release of the US Edition of SNOMED CT by removing obsolete content.

This American Community Survey (ACS) data set identifies the language spoken at home by zip code tabulation area within the United States, from 2012 through 2016. The dataset identifies languages spoken and how well English is spoken by Zip Code Tabulation Area.

This dataset identifies the language spoken at home by zip code tabulation areas within the United States. This dataset resulted from the American Community Survey (ACS) conducted from 2010 through 2014. The dataset also shows how well the language is spoken (well, very well, less than very well). JSL enriched this dataset with Latitude and Longitude information and with the map information about the land and water area of zip code tabulation areas.

This dataset identifies selected economic characteristics by zip code tabulation areas within the United States. This dataset resulted from the American Community Survey (ACS) conducted from 2010 through 2014. The economic characteristics include employment status, commuting to work, occupation, class of worker, income and benefits, health insurance coverage, and percentage of families and people whose income in the past 12 months is below the poverty level.

This dataset contains the interaction data published in A Human Map Kinase Interactome by Bandyopadhyay S. et al. - 2010, which reported all interactions for the human protein Mitogen Activated Protein (MAP) kinase as well as associated annotation data obtained from the Biological General Repository for Interaction databases (BIOGRID) for humans including the protein used to find the modification (bait), and annotations on the proteins pulled during the interaction experiment.

This dataset identifies age and sex for the population by zip code tabulation areas within the United States. This dataset resulted from the American Community Survey (ACS) conducted from 2010 through 2014. This dataset also identifies median age, sex ratio, old-age and child dependency and estimates of population by gender by age category, total estimates as well as these category’s margin of error and margin of error ratio.

This dataset contains the human readable form of the SNOMED CT to ICD-10-CM cross map. The Map can be used in real-time by the healthcare providers and by coding professionals for retrospective coding purposes.

This dataset identifies the place of birth for the foreign-born population by zip code tabulation areas within the United States. This dataset resulted from the American Community Survey (ACS) conducted from 2010 through 2014. JSL enriched this dataset with Latitude and Longitude information and with the map information about the land and water area of zip code tabulation areas.