Weighted estimates from the voluntary fortnightly Business Insights and Conditions Survey (BICS) about financial performance, workforce, prices, trade, and business resilience. These are official statistics in development.

This data set consists of data on academic libraries in the United States from 1996-2018. Multiple data sources from the National Center for Education Statistics (NCES) were merged. File Format: csvFile Size: 26648 KBLanguage: EnglishCoverage: Time period covered: 1996-2018.Codebook: See the codebook for Merged NCES Academic Library Survey 1996 - 2016 Dataset, which is included as a supplemental file here: https://digitalscholarship.unlv.edu/lib_datasets/1/Sources: All data sources were downloaded from the National Center for Education Statistics website https://nces.ed.gov/. Individual datasets and years accessed are listed below.[dataset] U.S. Department of Education, National Center for Education Statistics, Academic Libraries component, Integrated Postsecondary Education Data System (IPEDS), (2018, 2016, 2014), https://nces.ed.gov/ipeds/datacenter/login.aspx?gotoReportId=7[dataset] U.S. Department of Education, National Center for Education Statistics, Academic Libraries Survey (ALS) Public Use Data File, Library Statistics Program, (2012, 2010, 2008, 2006, 2004, 2002, 2000, 1998, 1996), https://nces.ed.gov/surveys/libraries/aca_data.asp[dataset] U.S. Department of Education, National Center for Education Statistics, Institutional Characteristics component, Integrated Postsecondary Education Data System (IPEDS), (2018, 2016, 2014), https://nces.ed.gov/ipeds/datacenter/login.aspx?gotoReportId=7[dataset] U.S. Department of Education, National Center for Education Statistics, Fall Enrollment component, Integrated Postsecondary Education Data System (IPEDS), (2018, 2016, 2014, 2012, 2010, 2008, 2006, 2004, 2002, 2000, 1998, 1996), https://nces.ed.gov/ipeds/datacenter/login.aspx?gotoReportId=7[dataset] U.S. Department of Education, National Center for Education Statistics, Human Resources component, Integrated Postsecondary Education Data System (IPEDS), (2018, 2016, 2014, 2012, 2010, 2008, 2006), https://nces.ed.gov/ipeds/datacenter/login.aspx?gotoReportId=7[dataset] U.S. Department of Education, National Center for Education Statistics, Employees Assigned by Position component, Integrated Postsecondary Education Data System (IPEDS), (2004, 2002), https://nces.ed.gov/ipeds/datacenter/login.aspx?gotoReportId=7[dataset] U.S. Department of Education, National Center for Education Statistics, Fall Staff component, Integrated Postsecondary Education Data System (IPEDS), (1999, 1997, 1995), https://nces.ed.gov/ipeds/datacenter/login.aspx?gotoReportId=7

Abstract (en): The National Crime Victimization Survey (NCVS) Series, previously called the National Crime Surveys (NCS), has been collecting data on personal and household victimization through an ongoing survey of a nationally-representative sample of residential addresses since 1972. The NCVS was designed with four primary objectives: (1) to develop detailed information about the victims and consequences of crime, (2) to estimate the number and types of crimes not reported to the police, (3) to provide uniform measures of selected types of crimes, and (4) to permit comparisons over time and types of areas. The survey categorizes crimes as "personal" or "property." Personal crimes include rape and sexual attack, robbery, aggravated and simple assault, and purse-snatching/pocket-picking, while property crimes include burglary, theft, and motor vehicle theft. Each respondent is asked a series of screen questions designed to determine whether she or he was victimized during the six-month period preceding the first day of the month of the interview. A "household respondent" is also asked to report on crimes against the household as a whole (e.g., burglary, motor vehicle theft). The data include type of crime, month, time, and location of the crime, relationship between victim and offender, characteristics of the offender, self-protective actions taken by the victim during the incident and results of those actions, consequences of the victimization, type of property lost, whether the crime was reported to police and reasons for reporting or not reporting, and offender use of weapons, drugs, and alcohol. Basic demographic information such as age, race, gender, and income is also collected, to enable analysis of crime by various subpopulations. The data files include several weight variables used to calculate national estimates of: households, persons, victimizations, and incidents. The codebook describes how to use the weights. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Created variable labels and/or value labels.; Standardized missing values.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. All persons in the United States aged 12 and over. Smallest Geographic Unit: region Stratified multistage cluster sample. 2008-12-10 The data collection was updated to reflect additional industry and occupation codes provided by the United States Census Bureau. Funding insitution(s): United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics. computer-assisted telephone interview (CATI), face-to-face interview, telephone interviewThis version of NCVS data is an alternative to NCVS data available in hierarchical format. Under this version the four record types that comprise the hierarchical file are available as four separate rectangular files. The use of four record-type files simplifies the use of the data while maintaining all of the information and functionality present in the hierarchical format.The 2003 Incident-Level Extract File was created from the record-type files and includes information on victims of crime. Nonvictims are not included. Records were extracted from the Incident Record-Type File and bounded by the year that the incident occurred. These records were then merged to their parent records from the Person Record-Type and Household Record-Type files.A separate data collection, NATIONAL CRIME VICTIMIZATION SURVEY, 1992-2005: CONCATENATED FILES (ICPSR 4699), contains a multi-year concatenated incident-level file and rape subset file.The data were collected by the United States Department of Commerce, Bureau of the Census.

This dataset contains data from the National Center for Education Statistics' Academic Library Survey, which was gathered every two years from 1996 - 2014, and annually in IPEDS starting in 2014 (this dataset has continued to only merge data every two years, following the original schedule). This data was merged, transformed, and used for research by Starr Hoffman and Samantha Godbey.This data was merged using R; R scripts for this merge can be made available upon request. Some variables changed names or definitions during this time; a view of these variables over time is provided in the related Figshare Project. Carnegie Classification changed several times during this period; all Carnegie classifications were crosswalked to the 2000 classification version; that information is also provided in the related Figshare Project. This data was used for research published in several articles, conference papers, and posters starting in 2018 (some of this research used an older version of the dataset which was deposited in the University of Nevada, Las Vegas's repository).SourcesAll data sources were downloaded from the National Center for Education Statistics website https://nces.ed.gov/. Individual datasets and years accessed are listed below.[dataset] U.S. Department of Education, National Center for Education Statistics, Academic Libraries component, Integrated Postsecondary Education Data System (IPEDS), (2020, 2018, 2016, 2014), https://nces.ed.gov/ipeds/datacenter/login.aspx?gotoReportId=7[dataset] U.S. Department of Education, National Center for Education Statistics, Academic Libraries Survey (ALS) Public Use Data File, Library Statistics Program, (2012, 2010, 2008, 2006, 2004, 2002, 2000, 1998, 1996), https://nces.ed.gov/surveys/libraries/aca_data.asp[dataset] U.S. Department of Education, National Center for Education Statistics, Institutional Characteristics component, Integrated Postsecondary Education Data System (IPEDS), (2020, 2018, 2016, 2014), https://nces.ed.gov/ipeds/datacenter/login.aspx?gotoReportId=7[dataset] U.S. Department of Education, National Center for Education Statistics, Fall Enrollment component, Integrated Postsecondary Education Data System (IPEDS), (2020, 2018, 2016, 2014, 2012, 2010, 2008, 2006, 2004, 2002, 2000, 1998, 1996), https://nces.ed.gov/ipeds/datacenter/login.aspx?gotoReportId=7[dataset] U.S. Department of Education, National Center for Education Statistics, Human Resources component, Integrated Postsecondary Education Data System (IPEDS), (2020, 2018, 2016, 2014, 2012, 2010, 2008, 2006), https://nces.ed.gov/ipeds/datacenter/login.aspx?gotoReportId=7[dataset] U.S. Department of Education, National Center for Education Statistics, Employees Assigned by Position component, Integrated Postsecondary Education Data System (IPEDS), (2004, 2002), https://nces.ed.gov/ipeds/datacenter/login.aspx?gotoReportId=7[dataset] U.S. Department of Education, National Center for Education Statistics, Fall Staff component, Integrated Postsecondary Education Data System (IPEDS), (1999, 1997, 1995), https://nces.ed.gov/ipeds/datacenter/login.aspx?gotoReportId=7

The General Household Survey (GHS), ran from 1971-2011 (the UKDS holds data from 1972-2011). It was a continuous annual national survey of people living in private households, conducted by the Office for National Statistics (ONS). The main aim of the survey was to collect data on a range of core topics, covering household, family and individual information. This information was used by government departments and other organisations for planning, policy and monitoring purposes, and to present a picture of households, families and people in Great Britain. In 2008, the GHS became a module of the Integrated Household Survey (IHS). In recognition, the survey was renamed the General Lifestyle Survey (GLF). The GLF closed in January 2012. The 2011 GLF is therefore the last in the series. A limited number of questions previously run on the GLF were subsequently included in the Opinions and Lifestyle Survey (OPN).

Secure Access GHS/GLF
The UKDS holds standard access End User Licence (EUL) data for 1972-2006. A Secure Access version is available, covering the years 2000-2011 - see SN 6716 General Lifestyle Survey, 2000-2011: Secure Access.

History
The GHS was conducted annually until 2011, except for breaks in 1997-1998 when the survey was reviewed, and 1999-2000 when the survey was redeveloped. Further information may be found in the ONS document An overview of 40 years of data (General Lifestyle Survey Overview - a report on the 2011 General Lifestyle Survey) (PDF). Details of changes each year may be found in the individual study documentation.

EU-SILC
In 2005, the European Union (EU) made a legal obligation (EU-SILC) for member states to collect additional statistics on income and living conditions. In addition, the EU-SILC data cover poverty and social exclusion. These statistics are used to help plan and monitor European social policy by comparing poverty indicators and changes over time across the EU. The EU-SILC requirement was integrated into the GHS/GLF in 2005. After the closure of the GLF, EU-SILC was collected via the Family Resources Survey (FRS) until the UK left the EU in 2020.

Reformatted GHS data 1973-1982 - Surrey SPSS Files
SPSS files were created by the University of Surrey for all GHS years from 1973 to 1982 inclusive. The early files were restructured and the case changed from the household to the individual with all of the household information duplicated for each individual. The Surrey SPSS files contain all the original variables as well as some extra derived variables (a few variables were omitted from the data files for 1973-76). In 1973 only, the section on leisure was not included in the Surrey SPSS files. This has subsequently been made available, however, and is now held in a separate study, General Household Survey, 1973: Leisure Questions (SN 3982). Records for the original GHS 1973-1982 ASCII files have been removed from the UK Data Archive catalogue, but the data are still preserved and available upon request.

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

During 2017 and 2018, the U.S. Geological Survey (USGS) Idaho National Laboratory Project Office, in cooperation with the U.S. Department of Energy (DOE), drilled and constructed borehole USGS 145 (USGS site 433358113042701) for hydrogeologic data collection and stratigraphic framework analyses. The well is located along the western boundary of the Idaho National Laboratory (INL) just south of highway 20. USGS 145 was continuously cored from approximately 3 to 1,368 feet below land surface (BLS), and had water level of 704.73 ft BLS directly after drilling. Core was recovered over a two-year period, this includes cored depths from 3 to 678 ft between May 30, 2017,and November 13, 2017, and from 678 to 1,368 ft between May 17, 2018 and July 12, 2018. After coring was completed, the USGS collected geophysical data and finished construction as a dual piezometer well. The general purpose for the drilling and construction of USGS 145 was to improve the understanding of hydrogeology in the west-central part of the INL and to collect geologic data from recovered core. The well is equipped with a 1-in. stainless steel piezometer line and a 0.75-in. stainless steel piezometer line set down to 1,304 and 1,037 ft BLS, respectively. The well was filled with silica sand and cement grout from 740 to 1,368 ft BLS, encasing the piezometer screened intervals of 1,017 to 1,037 ft BLS and 1,277 to 1,297 ft BLS. The USGS collected select geophysical data, daily drilling notes, and detailed core descriptions to 1,368 ft BLS, which are included as part of this data release. The USGS collected geophysical source and deviation logs through drill casing on July 16, 2018 and additional open borehole logs on July 24, 2018. Geophysical data were collected using Century™ multi-parameter logging probes. Geophysical data include natural gamma (tool 9057A), neutron, gamma-gamma density (tool 0024C), and acoustic televiewer (ATV) logs (tool 9804A) which were examined synergistically with available core material to identify contacts between basalt flows and location and thickness of sediment layers. These logs are displayed in the file USGS145_Geophysical_Logs.pdf. Additionally, a gyroscopic deviation survey (tool 9095C) was set to collect data at 0.2-ft increments and used to display the projected well bore path and as displayed in plan view in file USGS145_PlanView_Gyro.pdf and associated well path file USGS145_9095Gyro.asc. Geophysical log data can be obtained by downloading attached LAS files or by visiting USGS - GeoLog Locator. Borehole core from USGS 145 is archived at the USGS Lithologic Core Storage Library located at Central Facilities Area, INL. Drill core was photographed and described using the standardized methods of Johnson and others, 2005. These standardized methods make use of commercially available software that include using a procedure developed by the USGS INL Project Office. The standardized method maximizes description and minimizes interpretation of the borehole core.

The General Household Survey (GHS), ran from 1971-2011 (the UKDS holds data from 1972-2011). It was a continuous annual national survey of people living in private households, conducted by the Office for National Statistics (ONS). The main aim of the survey was to collect data on a range of core topics, covering household, family and individual information. This information was used by government departments and other organisations for planning, policy and monitoring purposes, and to present a picture of households, families and people in Great Britain. In 2008, the GHS became a module of the Integrated Household Survey (IHS). In recognition, the survey was renamed the General Lifestyle Survey (GLF). The GLF closed in January 2012. The 2011 GLF is therefore the last in the series. A limited number of questions previously run on the GLF were subsequently included in the Opinions and Lifestyle Survey (OPN).

Secure Access GHS/GLF
The UKDS holds standard access End User Licence (EUL) data for 1972-2006. A Secure Access version is available, covering the years 2000-2011 - see SN 6716 General Lifestyle Survey, 2000-2011: Secure Access.

History
The GHS was conducted annually until 2011, except for breaks in 1997-1998 when the survey was reviewed, and 1999-2000 when the survey was redeveloped. Further information may be found in the ONS document An overview of 40 years of data (General Lifestyle Survey Overview - a report on the 2011 General Lifestyle Survey) (PDF). Details of changes each year may be found in the individual study documentation.

EU-SILC
In 2005, the European Union (EU) made a legal obligation (EU-SILC) for member states to collect additional statistics on income and living conditions. In addition, the EU-SILC data cover poverty and social exclusion. These statistics are used to help plan and monitor European social policy by comparing poverty indicators and changes over time across the EU. The EU-SILC requirement was integrated into the GHS/GLF in 2005. After the closure of the GLF, EU-SILC was collected via the Family Resources Survey (FRS) until the UK left the EU in 2020.

Reformatted GHS data 1973-1982 - Surrey SPSS Files
SPSS files were created by the University of Surrey for all GHS years from 1973 to 1982 inclusive. The early files were restructured and the case changed from the household to the individual with all of the household information duplicated for each individual. The Surrey SPSS files contain all the original variables as well as some extra derived variables (a few variables were omitted from the data files for 1973-76). In 1973 only, the section on leisure was not included in the Surrey SPSS files. This has subsequently been made available, however, and is now held in a separate study, General Household Survey, 1973: Leisure Questions (SN 3982). Records for the original GHS 1973-1982 ASCII files have been removed from the UK Data Archive catalogue, but the data are still preserved and available upon request.

Species List for Tobys Creek for Environmental Defendors Office - National Forest Reserve for which logging had taken place in 2005. The TOBYSCK(Species List for Tobys Creek for Environmental Defendors Office - National Forest Reserve for which logging had taken place in 2005) Survey is part of the Vegetation Information System Survey Program of New South Wales which is a series of systematic vegetation surveys conducted across the state between 1970 and the present.

The National Survey of Volunteering and Charitable Giving was commissioned by the Office of the Third Sector in the Cabinet Office. The research was carried out by the National Centre for Social Research in partnership with the Institute for Volunteering Research (IVR) in 2006-2007, as a follow-up to the Citizenship Survey, 2005 (deposited at the UKDA under SN 5367).

The survey interviewed just over 2,700 adults in households in England. The aim was to explore how and why people give unpaid help to organisations, and what they think of their experiences; what stops people from volunteering or giving money to charity; and how and why people give money to charity. It builds upon IVR’s National Survey of Volunteering, last carried out in 1997 (deposited at the UKDA under SN 3931), and provides some insights into how things have changed since then.

These small area model-based estimates of subjective loneliness have been produced by Age UK, for people aged 65 and over at Borough level and middle and lower super output areas (MSOA/LSOA) in London.

They are calculated using a model based method using a combination of data from the English Longitudinal Survey of Ageing (ELSA) from 2010-12 and small area Census data from 2011. Further details of the methodology can be found at Age UK.

The different measures included in the data are

1. The ‘log odds’ of the risk of loneliness among older people

2. The estimated prevalence of loneliness among older people

3. The area ranking for London of the relative risk of loneliness among older people

4. The area ranking for England of the relative risk of loneliness among older people

Background notes:
1. Prevalence estimates: these estimates of prevalence are based on characteristics significantly associated with loneliness which could be estimated at small area level from 2011 Census data. Not all characteristics could be measured from the Census and so these estimates underestimate the true level of loneliness based on national survey and regular polling data. They are designed to be used to examine variation between areas rather than as a true estimate of the prevalence of loneliness in a given area

2. LSOA: Care needs to be taken when using estimates based on LSOA estimates due to other potential confounding factors such as communal establishment within the area such as care homes, hospitals, hospices etc. The risk factors were based on a survey of domestic rather than communal establishments only

3. The main aim of the modelling was to produce small area estimates which are not available for other sources. Borough level estimates are included for context, but alternative estimates at this level may give a more accurate assessment of prevalence

A map of the MSOA data can be viewed on the Datastore.

Source: Office for National Statistics

The National Crime Victimization Survey (NCVS) Series, previously called the National Crime Surveys (NCS), has been collecting data on personal and household victimization through an ongoing survey of a nationally-representative sample of residential addr

A longitudinal study which follows the cohort of current residents and discharged residents sampled from the 1985 National Nursing Home Survey (NNHS), thus permitting study of nursing home and hospital utilization over time. The study was conducted in three waves. To supplement the current and discharged resident components, the 1985 NNHS included a new component - the Next-of-Kin (NOK). The NOK, using a Computer Assisted Telephone Interviewing (CATI) system, was designed to collect information about current and former nursing home residents that is not generally available from patient records or other sources in the nursing home. The NNHSF obtains additional information on a portion of the residents for whom a Current Resident Questionnaire (CRQ) or a Discharged Resident Questionnaire (DRQ) was completed. In September 1994, the NNHSF Mortality Public Use Data Tape was released, covering the years 1984-1990. It contains the multiple cause-of-death information for 6,507 subjects from the NNHSF found to be deceased after linking and matching of files with the National Death Index. Information on the mortality tape includes the date of death, region of occurrence and residence, etc. All NNHSF tapes include a patient identification number common across files to allow linkage among them. Data Availability: Public Use data tapes for each wave and the mortality tape are available through the National Technical Information Office (NTIS), NACDA and the ICPSCR at the University of Michigan. The 1985 survey tape includes eight files: the facility questionnaire, nursing staff questionnaire, current resident questionnaire, discharged resident questionnaire, expense questionnaire, nursing staff sampling list, current resident sampling list, discharged resident sampling list. The next-of-kin questionnaire is available on a separate tape. * Dates of Study: 1987-1990 * Study Features: Longitudinal * Sample Size: ** 1987: 6,001 (Wave I) ** 1988: 3,868 (Wave II) ** 1990: 3,041 (Wave III) Links: * Wave I (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/09813 * Wave II (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/09838 * Wave III (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06142

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Police recorded crime figures by Police Force Area and Community Safety Partnership areas (which equate in the majority of instances, to local authorities).

Abstract

The Statistics Division of the Department of National Planning (DNP/SD) conducts Household Income and Expenditure Surveys (HIES) in the Maldives. HIES 2009-2010 is the second such nationwide survey conducted in the country. 39 islands were randomly selected from all 20 Atolls and the capital Male' with a sample of 2,060 households.

The main objective of HIES is to produce reliable statistics on different components of income and expenditure of households in Male' and the Atolls to assess the economic well-being of the population. Specifically, the results will be used to bring about improvements in the national accounts, consumer price index and the vulnerability and poverty statistics of the country.

HIES results will be particularly essential and used for following purposes: • To show the most recent composition of consumption expenditure of households which will be used to update the CPI weights • To improve GDP estimates particularly for the components of final consumption expen diture of households, income and outlay and savings. • To measure living standard and indicate the gap between different social strata • To analyze distribution of households in terms of income groups and proper statistical measure of income inequality such as Gini coefficient. • To measure the poverty situation of households and update the existing poverty esti mates and indicators.

Geographic coverage

National

Analysis unit

• Households
• Individuals
• Consumption expenditure commodities/ services

Kind of data

Sample survey data [ssd]

Sampling procedure

Required data for sampling were obtained from the population and housing census 2006. The country consists of 20 administrative atolls comprising of 194 inhabited islands. For political purpose these 20 administrative atolls are grouped as 7 regions. The capital Male' has separate administrative status. The frame for Male' consists of 6 wards and 324 enumeration blocks. HIES uses the area frame as a basis, to make the sample representative for the administrative and geographic structure of the country. All the inhabited islands have clearly marked census enumeration blocks, which were used in the sampling. Major characteristics of the HIES sampling frame are given below. A total of 880 blocks and 45,993 households were in the 194 inhabited islands of the country.

Note: Detailed sampling information is presented in APPENDIX ONE in the final report.

Mode of data collection

Face-to-face [f2f]

Research instrument

There were 8 different questionnaires. This includes: • Listing form (Form 1) is used to enumerate all the structures and households in the se lected Enumeration block in preparation for the actual household survey. One set of forms to be completed for each selected enumeration block. • Household form, (Form 2) consists of information on housing, household composition, household durables, and travel by members of the household, investment and financial status of household. One form has to be completed for each household. • Household member form (Individual form), (Form 3) consists of basic demographic char acteristics on all household members, education for those aged 6 years and above and identifies the labour force. One column on the form needs to be completed for each member of the household. • Employment and income form (Form 4) consists of information on employment and in come, one form to be completed for each member of the household who is aged fif teen years and over and who is working or is an income recipient. • Expenditure forms (Form 5) and, (Form 6), For Male' and the Atoll Islands, Form 5 is used to record the household expenditures and Form 6 to record the personal expendi tures of individual household members over the age of 15. Thus, a Form 5 will be filled for each household, while every individual member 15 years of age and above, who earns, fills a Form 6 to record his/her personal expenditure diary. • Summary form (Form 7) consist the summary information of the household. After all the information for the household and its members were received, this form was used to calculate the household income and expenditure and to calculate the expenditure per day and expenditure per person for a household. • ICT form (Form 8) consists of information related to the information communication technology (ICT). Accessibility, usage and expenditures on ICT by the household's mem bers aged 4 years and above were recorded in this form.

Sampling error estimates

Sampling Errors Sampling errors refers to the difference between the estimate based on a sample and its 'true' population value that would result if the whole population has been surveyed. The extent of sampling error of an estimate under a particular sample design is assessed by the variability of the estimate across all possible samples under the design. One common measure of this variability is given by the standard error (SE), which is the standard deviation of the sampling distribution of the estimate. Another measure is the relative standard error (RSE), which is obtained by expressing the standard error as a percentage to the estimate. The smaller the RSE, the more precise is the estimate.

The difference between standard error (SE) and relative standard error (RES) are that the standard error (SE) measure indicates the extent to which a survey estimate is likely to deviate from the true population and is expressed as a number. The relative standard error (RSE) is the standard error expressed as a fraction of the estimate and is usually displayed as a percentage. Estimates with a RSE of 25% or greater are subject to high sampling error and should be used with caution.

The reliability of estimates can also be assessed in terms of a confidence interval. Confidence intervals represent the range in which the population value is likely to lie. They are constructed using the estimate of the population value and its associated standard error. For example, there is approximately a 95% chance (i.e. 19 chances in 20) that the population value lies within two standard errors of the estimates, so the 95% confidence interval is equal to the estimate plus or minus two standard errors.

Note: Estimated sampling errors of some selected estimates in the HIES 2009/10 report are in Table 1.7.1.

Data appraisal

Sample surveys are limited in that they are assumed to represent the part of the population that was not included in the sample. Surveys have various sampling and non sampling errors, such an assumption may not always be correct. In the HIES 2009/2010 an important limitation is that no conclusions can be drawn from the information on the situation in any particular atoll; as the survey was designed to represent for Male' and at the 7 regions at the most disaggregated level. Also the regions in HIES 2009/2010 is different from previous HIES, hence the two HIESs is not comparable at regional level.

The survey design of HIES does not include resorts and industrial islands. Hence the direct incomes and expenditures of this particular population will not be accounted. If a person was not living in the household during the survey period the income the income of that person was recorded as transfer income. This limitation resulted in the employment in tourism industry lower compared to census 2006.

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

National Monuments Service - Archaeological Survey of Ireland. Published by Department of Housing, Local Government and Heritage. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).This Archaeological Survey of Ireland dataset is published from the database of the National Monuments Service Sites and Monuments Record (SMR). This dataset also can be viewed and interrogated through the online Historic Environment Viewer: https://heritagedata.maps.arcgis.com/apps/webappviewer/index.html?id=0c9eb9575b544081b0d296436d8f60f8

A Sites and Monuments Record (SMR) was issued for all counties in the State between 1984 and 1992. The SMR is a manual containing a numbered list of certain and possible monuments accompanied by 6-inch Ordnance Survey maps (at a reduced scale). The SMR formed the basis for issuing the Record of Monuments and Places (RMP) - the statutory list of recorded monuments established under Section 12 of the National Monuments (Amendment) Act 1994. The RMP was issued for each county between 1995 and 1998 in a similar format to the existing SMR. The RMP differs from the earlier lists in that, as defined in the Act, only monuments with known locations or places where there are believed to be monuments are included.

The large Archaeological Survey of Ireland archive and supporting database are managed by the National Monuments Service and the records are continually updated and supplemented as additional monuments are discovered. On the Historic Environment viewer an area around each monument has been shaded, the scale of which varies with the class of monument. This area does not define the extent of the monument, nor does it define a buffer area beyond which ground disturbance should not take place – it merely identifies an area of land within which it is expected that the monument will be located. It is not a constraint area for screening – such must be set by the relevant authority who requires screening for their own purposes. This data has been released for download as Open Data under the DPER Open Data Strategy and is licensed for re-use under the Creative Commons Attribution 4.0 International licence. http://creativecommons.org/licenses/by/4.0

Please note that the centre point of each record is not indicative of the geographic extent of the monument. The existing point centroids were digitised relative to the OSI 6-inch mapping and the move from this older IG-referenced series to the larger-scale ITM mapping will necessitate revisions. The accuracy of the derived ITM co-ordinates is limited to the OS 6-inch scale and errors may ensue should the user apply the co-ordinates to larger scale maps. Records that do not refer to 'monuments' are designated 'Redundant record' and are retained in the archive as they may relate to features that were once considered to be monuments but which on investigation proved otherwise. Redundant records may also refer to duplicate records or errors in the data structure of the Archaeological Survey of Ireland.

This dataset is provided for re-use in a number of ways and the technical options are outlined below. For a live and current view of the data, please use the web services or the data extract tool in the Historic Environment Viewer. The National Monuments Service also provide an Open Data snapshot of its national dataset in CSV as a bulk data download. Users should consult the National Monument Service website https://www.archaeology.ie/ for further information and guidance on the National Monument Act(s) and the legal significance of this dataset.

Open Data Bulk Data Downloads (version date: 23/08/2023)

The Sites and Monuments Record (SMR) is provided as a national download in Comma Separated Value (CSV) format. This format can be easily integrated into a number of software clients for re-use and analysis. The Longitude and Latitude coordinates are also provided to aid its re-use in web mapping systems, however, the ITM easting/northings coordinates should be quoted for official purposes. ERSI Shapefiles of the SMR points and SMRZone polygons are also available The SMRZones represent an area around each monument, the scale of which varies with the class of monument. This area does not define the extent of the monument, nor does it define a buffer area beyond which ground disturbance should not take place – it merely identifies an area of land within which it is expected that the monument will be located. It is not a constraint area for screening – such must be set by the relevant authority who requires screening for their own purposes.

GIS Web Service APIs (live views):

For users with access to GIS software please note that the Archaeological Survey of Ireland data is also available spatial data web services. By accessing and consuming the web service users are deemed to have accepted the Terms and Conditions. The web services are available at the URL endpoints advertised below:

SMR; https://services-eu1.arcgis.com/HyjXgkV6KGMSF3jt/arcgis/rest/services/SMROpenData/FeatureServer

SMRZone; https://services-eu1.arcgis.com/HyjXgkV6KGMSF3jt/arcgis/rest/services/SMRZoneOpenData/FeatureServer

Historic Environment Viewer - Query Tool

The "Query" tool can alternatively be used to selectively filter and download the data represented in the Historic Environment Viewer. The instructions for using this tool in the Historic Environment Viewer are detailed in the associated Help file: https://www.archaeology.ie/sites/default/files/media/pdf/HEV_UserGuide_v01.pdf...

The National Diet and Nutrition Survey (NDNS) Rolling Programme (RP) began in 2008 and is designed to assess the diet, nutrient intake and nutritional status of the general population aged 1.5 years and over living in private households in the UK. (For details of the previous NDNS series, which began in 1992, see the documentation for studies 3481, 4036, 4243 and 5140.)

The programme is funded by Public Health England (PHE), an executive agency of the Department of Health, and the UK Food Standards Agency (FSA).

The NDNS RP is currently carried out by a consortium comprising NatCen Social Research (NatCen) (NatCen, contract lead) and the MRC Epidemiology Unit, University of Cambridge (scientific lead). The MRC Epidemiology Unit joined the consortium in November 2017. Until December 2018, the consortium included the MRC Elsie Widdowson Laboratory, Cambridge (former scientific lead). In Years 1 to 5 (2008/09 – 2012/13) the consortium also included the University College London Medical School (UCL).

Survey activities at the MRC Epidemiology Unit are delivered with the support of the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre (IS-BRC-1215- 20014), comprising the NIHR BRC Nutritional Biomarker Laboratory and NIHR BRC Dietary Assessment and Physical Activity Group. The NIHR Cambridge Biomedical Research Centre is a partnership between Cambridge University Hospitals NHS Foundation Trust and the University of Cambridge, funded by the NIHR.

Further information is available from the gov.uk National Diet and Nutrition Survey webpage.

The last national survey of diet and nutrition in adults was the Dietary and Nutritional Survey of British Adults carried out in 1986/87 (held at UKDA under SN 2836). The changes in eating habits and lifestyles noted in that survey have continued throughout the intervening years. Increasing numbers of people are travelling and taking holidays abroad, and with increased multi-culturalism this has led to a greater variety of foods available. Increasing demands on people's time and longer working hours have led to greater demand and availability of pre-prepared and convenience foods. There has also been an increase in eating outside the home. There was a need, therefore, to assess the impact of such changes on diet and nutrition among adults, to update the findings of the 1986/87 Adults Survey and to complete the NDNS cycle by conducting a survey on adults aged 19 to 64 years.

The survey of adults aged 19 to 64 years aimed to collect data on diet through a questionnaire and a seven-day weighed intake record for a nationally representative sample living in private households in Great Britain. The study also included a seven-day bowel movement record, a seven-day physical activity diary, anthropometric and blood pressure measurements, a 24-hour urine sample and a blood sample. The Food Standards Agency nutrient databank, which is used to convert food weights into nutrient intake, has also been deposited with this study.

The National Survey of Research Commercialisation (NSRC), which has been conducted since 2000, collects data on the commercialisation activities of publicly funded research organisations such as …Show full descriptionThe National Survey of Research Commercialisation (NSRC), which has been conducted since 2000, collects data on the commercialisation activities of publicly funded research organisations such as universities, medical research institutes and government research agencies. The survey includes data relating to research expenditure, licensing, research contracts and consultancies and research training. Further information about the survey (including other data sets and notes on the survey methodology) is available from the National Survey of Research Commercialisation page of the Department of Industry, Innovation and Science website: http://industry.gov.au/innovation/NSRC/Pages/default.aspx.