The Scottish Index of Multiple Deprivation (SIMD) 2012 is the Scottish Government’s official tool for identifying concentrations of deprivation in Scotland. SIMD12 is the Scottish Government’s fourth edition since 2004. The Scottish Index of Multiple Deprivation (SIMD) combines seven different domains (aspects) of deprivation: income; employment; health; education, skills and training; geographic access to services; crime; and housing. These domains are measured using a number of indicators to form ranks for each domain. Data zones are ranked from 1 being most deprived to 6,505 being least deprived. Each of the seven domain ranks are then combined to form the overall SIMD. This provides a measure of relative deprivation at data zone level, so it tells you that one data zone is relatively more deprived than another but not how much more deprived.

Dataset

This dataset was created by Richard Kuo

Contents

Mean travel time (in minutes) to key services, by car or public transport. This dataset contains indicators used to calculate the geographic access to services domains of SIMD 2016 and SIMD 2020.

Background: Sepsis-induced myocardial dysfunction (SIMD) is the most common and severe sepsis-related organ dysfunction. We aimed to investigate the metabolic changes occurring in the hearts of patients suffering from SIMD.Methods: An animal SIMD model was constructed by injecting lipopolysaccharide (LPS) into mice intraperitoneally. Metabolites and transcripts present in the cardiac tissues of mice in the experimental and control groups were extracted, and the samples were studied following the untargeted metabolomics–transcriptomics high-throughput sequencing method. SIMD-related metabolites were screened following univariate and multi-dimensional analyses methods. Additionally, differential analysis of gene expression was performed using the DESeq package. Finally, metabolites and their associated transcripts were mapped to the relevant metabolic pathways after extracting transcripts corresponding to relevant enzymes. The process was conducted based on the metabolite information present in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database.Results: One hundred and eighteen significant differentially expressed metabolites (DEMs) (58 under the cationic mode and 60 under the anionic mode) were identified by studying the SIMD and control groups. Additionally, 3,081 significantly differentially expressed genes (DEGs) (1,364 were down-regulated and 1717 were up-regulated DEGs) were identified in the transcriptomes. The comparison was made between the two groups. The metabolomics–transcriptomics combination analysis of metabolites and their associated transcripts helped identify five metabolites (d-mannose, d-glucosamine 6-phosphate, maltose, alpha-linolenic acid, and adenosine 5′-diphosphate). Moreover, irregular and unusual events were observed during the processes of mannose metabolism, amino sugar metabolism, starch metabolism, unsaturated fatty acid biosynthesis, platelet activation, and purine metabolism. The AMP-activated protein kinase (AMPK) signaling pathways were also accompanied by aberrant events.Conclusion: Severe metabolic disturbances occur in the cardiac tissues of model mice with SIMD. This can potentially help in developing the SIMD treatment methods.

The 694 data zones in Glasgow ranked in 2012, 2009, 2006 and 2004 for the SIMD geographic access domain. Each data zone also has a local ranking i.e. within Glasgow to ease comparison for that data zone over time and within the city.

Intermediate Geographies and political geographies such as the 2011 Scottish Parliamentary Constituencies, multi-member wards are also included.

The 694 data zones in Glasgow ranked in 2012, 2009, 2006 and 2004 for the employment domain in the Scottish Index of Multiple Deprivation (SIMD). Each data zone also has a local ranking i.e. within Glasgow to ease comparison for that data zone over time and within the city. Intermediate Geographies and political geographies such as the 2011 Scottish Parliamentary Constituencies, multi-member wards are also included. Datazones nest directly into intermediate geographies and local authorities but do not fit exactly into higher geographies like multi-member wards, SIMD FAQ The Scottish Government describes this index as follows, 'The Scottish Index of Multiple Deprivation identifies small area concentrations of multiple deprivation across all of Scotland in a consistent way. It allows effective targeting of policies and funding where the aim is to wholly or partly tackle or take account of area concentrations of multiple deprivation. The SIMD ranks small areas (called data zones) from most deprived (ranked 1) to least deprived (ranked 6,505). People using the SIMD will often focus on the data zones below a certain rank, for example, the 5%, 10%, 15% or 20% most deprived data zones in Scotland.' How to use the SIMD - Scottish Government Guidance Data extracted 2013-12-17 from opendatascotland.org and data.glasgow.gov.uk Data supplied by The Scottish Government Licence: None simd-employment-2004-2012-glasgow-v2.xlsx - https://dataservices.open.glasgow.gov.uk/Download/Organisation/728522f0-86da-48c6-8f75-1649934eb8a4/Dataset/11be078d-cdff-427a-a1e9-956535940186/File/562ba53b-c7c5-4145-8027-fe344f66a055/Version/e29cbfeb-8625-4a5b-86e0-ba5d8bde71d5

Special Area Population Estimates for SIMD, Urban Rural, Westminster Parliamentary Constituency, NUTS2 areas. Source agency: National Records of Scotland Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Special Area Population Estimates

Abstract copyright UK Data Service and data collection copyright owner.The Scottish Indices of Multiple Deprivation (SIMD) 2004, 2006 and 2009 identify small area concentrations of multiple deprivation across Scotland. Small areas, called datazones, are ranked from 1 (most deprived) to least deprived. The ranking is based on information covering a number of different types or 'domains' of deprivation; income, employment, health, education, access to services, housing and crime (not 2004). Further information is available from the Scottish Government’s SIMD web pages. Main Topics:Rankings are provided for each of the individual SIMD domains and for the overall SIMD which is constructed from these domains. Standard Measures: The SIMD follows the domain methodology developed by the Social Disadvantage and Research Centre, University of Oxford. This methodology also underpins the construction of the similar English, Northern Irish and Welsh deprivation measures.

The Scottish Index of Multiple Deprivation (SIMD) was published in August 2016. This dataset contains the indicators that were used to calculate the housing domain of SIMD.

The “Pupils in Scotland Census” is undertaken annually and collates a wide variety of information on pupils in all publicly funded schools in Scotland. These files provide information at the level of individual schools separated into primary, secondary and additional support for learning (ASL) provision.Each file contains information on: school roll;proportion of pupils living in the 20% most deprived areas in Scotland (using the SIMD 2020 ver 2);ethnicity;the proportion of pupils for whom English is an additional language.The Pupil in Scotland census data is obtained from schools management information systems and is validated by ScotXed.

The Scottish Index of Multiple Deprivation (SIMD) was published in August 2016. This dataset contains the indicators that were used to calculate the education domain of SIMD.

Pupil in Scotland census data for Secondary Schools in 2020

Abstract copyright UK Data Service and data collection copyright owner.

The Scottish Indices of Multiple Deprivation (SIMD) 2004, 2006 and 2009 identify small area concentrations of multiple deprivation across Scotland. Small areas, called datazones, are ranked from 1 (most deprived) to least deprived. The ranking is based on information covering a number of different types or 'domains' of deprivation; income, employment, health, education, access to services, housing and crime (not 2004).

Further information is available from the Scottish Government’s SIMD web pages.

Main Topics:
Rankings are provided for each of the individual SIMD domains and for the overall SIMD which is constructed from these domains.

Standard Measures:
The SIMD follows the domain methodology developed by the Social Disadvantage and Research Centre, University of Oxford. This methodology also underpins the construction of the similar English, Northern Irish and Welsh deprivation measures.

This dataset includes all variables of the model experiment “simD ssp585” conducted with the global ocean-sea ice-biogeochemistry model FESOM1.4-REcoM2 with ice-shelf cavities and eddy-permitting resolution on Antarctic shelves. For this experiment, atmospheric CO2 concentrations are held constant, but all other atmospheric forcing variables (e.g., air temperature, winds, humidity, precipitation) vary throughout the simulation. Output is provided from 2015-2100. The output is sorted by output frequency (monthly or daily) and model component (FESOM or REcoM). The data is sorted as follows: - annual_FESOM - annual_REcoM - monthly_FESOM - monthly_REcoM Filname convention: Variable_outputFreq_FESOM1.4-REcoM2_experimentName_experimentTime_year.nc Computing resources were provided by the North-German Supercomputing Alliance (HLRN) project hbk00079.

The Scottish Index of Multiple Deprivation (SIMD) 2016 is the Scottish Government's official tool for identifying concentrations of deprivation in Scotland. SIMD16 is the Scottish Government's fifth edition since 2004. The Scottish Index of Multiple Deprivation (SIMD) combines seven different domains (aspects) of deprivation: income; employment; health; education, skills and training; geographic access to services; crime; and housing. These domains are measured using a number of indicators to form ranks for each domain. Data zones are ranked from 1 being most deprived to 6,976 being least deprived. Each of the seven domain ranks are then combined to form the overall SIMD. This provides a measure of relative deprivation at data zone level, so it tells you that one data zone is relatively more deprived than another but not how much more deprived.

NHS Lothian Regional Patients' data for visits to critical care (High Dependency or Intensive Care), as recorded in the Ward Watcher systems, at NHS Lothian hospitals: Royal Infirmary Edinburgh (RIE), Western General Hospital (WGH) or St John's Hospital at Howden. A limited extract of the regional database contributes to the Scottish Intensive Care Society Audit Group (SICSAG) database of patients admitted to adult general Intensive Care Units (ICU) in Scotland. Dataset include episodes, admission specialties, severity of illness (APACHE acute physiology), treatments (such as therapies, ACP, drugs, trials) and infections (Healthcare Associated Infections also known as Hospital Acquired Infections or nosocomial infections) and obstetrics.

Computational modeling of the skin barrier, the lipid matrix of the stratum corneum, using molecular dynamics simulations. These studies give further insight about the largest organ in the human body and will further clinical experiments. Thanks to the highly optimized heterogeneous parallelization in GROMACS, complex computational studies can be carried out quickly and efficiently. The right panel shows the modeled molecular system with ceramide molecules in green, cholesterols in white, and fatty acids in red. Recent work focused on improving SIMD, GPU, and thread parallelization and resulted in speeding up the aforementioned calculations by up to 50%. The left panel illustrates the execution time breakdown of the CPU and GPU tasks in GROMACS versions 5.1 and 2016; improved performance of multiple tasks leads to an increase in simulation throughput from 61 ns/day to 95 ns/day. The simulations were performed on a workstation equipped with a Core i7-5960X CPU and a GeForce TITAN X GPU.Benchmarks and performance illustration (left panel) by S.P., the ceramide system model and rendering by M.L.

Primary care, secondary care (Scottish Morbidity Records) and deaths data (NRS) where ICD10, OPCS and Read2 codes are mapped to Caliber phenotypes. Only records that can be mapped to Caliber Phenotypes are included in this dataset.

Drugs and medical devices dispensed by community pharmacies since 2009 where the prescriber is located within NHS Lothian. Includes drug strength, formulation and dispensed quantity data. Dispensed prescriptions are coded using British National Formulary (BNF) hierarchy.

Updates to the income and employment domains that formed part of SIMD 2009 Source agency: Scottish Government Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Annual updates to Income and Employment domains of the Scottish Index of Multiple Deprivation