Current 511 Events for Minnesota. This data is updated every 10 minutes. This layer is provided as a courtesy from Iowa DOT for use by Iowa DOT web mapping applications. Iowa DOT does not take responsibility for its accuracy or completeness. Please visit Minnesota 511 for up-to-date conditions: http://www.511mn.org/ Note: This is an Esri Feature Collection which is different than an Esri Feature Service. Feature Collections allow for high-availability. There are unique characteristics that need to be considered when using this data type: - It is a file-based data type so there is no REST endpoint. However, there is JSON that can be parsed out. See link at the bottom of this page. - You cannot set a refresh interval in the map document, you must use the Info Summary Widget inside an application or hard-code the refresh in a custom application. - The rotation setting gets wiped out each time the dataset is updated. When you add a feature collection to a new map, you will have to set the rotation. If you have an existing saved map this doesnt apply to you.

Update, Autumn 2024: We have now published an interactive dashboard which is designed to provide typical average daily flows by month or by site for the purposes of long-term trend monitoring. This approach to data provision will enable users to access data in a more timely fashion, as the dashboard refreshes on a daily basis. The data in this dashboard has also been cleaned to remove 'non-neutral' and erroneous days of data from average flow calculations. Please examine the front page of the dashboard for clarity on what this means. This dashboard is available at the following link: Cambridgeshire & Peterborough Insight – Roads, Transport and Active Travel – Traffic Flows – Traffic Flows Dashboard (cambridgeshireinsight.org.uk) The background: In spring and summer 2019, a series of smart traffic sensors were installed in Cambridge to monitor the impact of the Mill Road bridge closure. These sensors were installed for approximately 18 months in order to gather data before the closure, during the time when there was no vehicle traffic coming over Mill Road Bridge and then after the bridge re-opened. Due to the success of the sensors and the level of insight it is possible to gain, additional sensors have since been installed in more locations across the county. A traffic count sites map showing the locations of the permanent and annually monitored sites across the county, including the Vivacity sensor locations, is available on Cambridgeshire Insight. The data Data from the longer-term Vivacity sensors from 2019-2022 is available to download from the bottom of this page. The Vivacity sensor network grew considerably during 2022 and as a result, manual uploading of the data is no longer feasible. Consideration is currently being given to methods to streamline and/or automate Vivacity data sharing. The data below provides traffic counts at one-hour intervals, broken down into 8 vehicle categories. Data is provided (with caveats – see bottom of page) from the installation of the sensor up to 31/12/2022. The 8 vehicle categories are: 'Car', 'Pedestrian', 'Cyclist', 'Motorbike', 'Bus', 'OGV1', 'OGV2' and 'LGV'. The counts are broken down into inbound (In) and outbound (Out) journeys. Please see the 'Location List' below to establish which compass directions the 'In' and 'Out' are referring to for each sensor, as it differs by location. Some sensors record counts across multiple 'count-lines' which enables the sensor to provide more accurate counts at different points across the road, for example footways, cycle ways and the road. This is particularly useful for picking up pedestrians. Sensors with multiple count lines often present data for the road, the left-hand side footway (LHS) and the right-hand side footway (RHS) respectively. To determine the total flow, simply aggregate the centre, LHS and RHS count-lines. Please note that new countlines have been introduced over time for some sensors so care should be taken to make sure all necessary countlines are included when calculating a total flow. In some locations sensor hardware has been replaced and the sensor number has therefore changed (e.g. the Perne Road sensor was originaly named "16" but was subsequently replaced and renamed "44"). Please refer to the 'Location List' file which details the current and previous sensor numbers at each location. Caveats: 1. Data quality: ​A Vivacity sensor performance monitoring exercise was undertaken in 2022 to determine the level of accuracy of the Vivacity sensors. The findings of this exercise are documented in a technical note. The note helps to highlight data limitations and provides guidance on how best to work with the Vivacity data. A key finding within the note is that the v1 hardware Vivacity sensors (a small group of older hardware sensors) have been found to struggle to accurately count pedestrians and cyclists. As of December 2022, the only sensors that continue to use v1 hardware are on Milton Road (s13), Coleridge Road (s3), Vinery Road (s4), Coldham's Lane (s7), Devonshire Road cycle bridge (s12) and Hills Road (s14). Full details are provided within the tehcnical note. The note also helps to highlight data limitations and provides guidance on how best to work with the Vivacity data. 2. Data gaps: The sensors are designed to capture data 24 hours per day, 7 days per week however there are occasions when sensors go down and are not able to capture data or only capture partial data that is therefore not representative. The Research Group make every effort to remove data believed to be misleading but this cannot be guaranteed and the user is responsible for sense checking the data and excluding anything considered erroneous prior to use. The Research Group exclude days where very low or zero flows have been recorded for the day. Within the spreadsheets, these rows will simply appear blank when downloaded – indicating that the sensor is live and active during this time, but the output is not deemed reliable enough for publication. 3. British summer time / clocks changing: The data is provided in hourly intervals in the local time zone. When the clocks go forward at the end of March and the clocks go backwards at the end of October there are therefore missing / duplicate hours included within the data. On 27 October 2019, 25 October 2020, and 31 October 2021, all countlines will show two separate values for 1am. This is due to clocks going back at 1am in the morning on these dates. As these days were all 25-hours long we have kept both instances in the data for full transparency. Similarly, all countlines on 29 March 2020, 28 March 2021, and 27 March 2022 will show no values at all for 1-2am. This is due to the clocks going forward by one hour on these dates meaning they were 23-hour days.

Summary information about locations of environmental monitoring sites that have monitoring data publicly available. Types of monitoring sites are air quality, water quality, storm tides, wave heights and direction. Each site provides links to download its data and to its associated webpage if it exists.

Field descriptions
Monitoring type: The type of monitoring being conducted at that location
Site name: The name of the site
Latitude: The latitude in decimal degrees
Longitude: The longitude in decimal degrees
Resource label: The name of the resource (data file) that is available for download
Start date: First date of the monitoring for that resource
End date: Last date of the monitoring for that resource
Near real-time period: If the resource contains near real-time data, this field indicates the numerical length of the period
Period type: If the resource contains near real-time data, this field indicates the type of period, e.g. day, current year, etc
Update frequency: Indicates how often the resource is updated
Resource Url: The location of the resource to download the data
Website Url: The location of the webpage associated with this site, if it exists

The Sea Around Us is a research initiative at The University of British Columbia (located at the Institute for the Oceans and Fisheries, formerly Fisheries Centre) that assesses the impact of fisheries on the marine ecosystems of the world, and offers mitigating solutions to a range of stakeholders.

The Sea Around Us was initiated in collaboration with The Pew Charitable Trusts in 1999, and in 2014, the Sea Around Us also began a collaboration with The Paul G. Allen Family Foundation to provide African and Asian countries with more accurate and comprehensive fisheries data.

The Sea Around Us provides data and analyses through View Data, articles in peer-reviewed journals, and other media (News). The Sea Around Us regularly update products at the scale of countries’ Exclusive Economic Zones, Large Marine Ecosystems, the High Seas and other spatial scales, and as global maps and summaries.

The Sea Around Us emphasizes catch time series starting in 1950, and related series (e.g., landed value and catch by flag state, fishing sector and catch type), and fisheries-related information on every maritime country (e.g., government subsidies, marine biodiversity). Information is also offered on sub-projects, e.g., the historic expansion of fisheries, the performance of Regional Fisheries Management Organizations, or the likely impact of climate change on fisheries.

The information and data presented on their website is freely available to any user, granted that its source is acknowledged. The Sea Around Us is aware that this information may be incomplete. Please let them know about this via the feedback options available on this website.

If you cite or display any content from the Site, or reference the Sea Around Us, the Sea Around Us – Indian Ocean, the University of British Columbia or the University of Western Australia, in any format, written or otherwise, including print or web publications, presentations, grant applications, websites, other online applications such as blogs, or other works, you must provide appropriate acknowledgement using a citation consistent with the following standard:

When referring to various datasets downloaded from the website, and/or its concept or design, or to several datasets extracted from its underlying databases, cite its architects. Example: Pauly D., Zeller D., Palomares M.L.D. (Editors), 2020. Sea Around Us Concepts, Design and Data (seaaroundus.org).

When referring to a set of values extracted for a given country, EEZ or territory, cite the most recent catch reconstruction report or paper (available on the website) for that country, EEZ or territory. Example: For the Mexican Pacific EEZ, the citation should be “Cisneros-Montemayor AM, Cisneros-Mata MA, Harper S and Pauly D (2015) Unreported marine fisheries catch in Mexico, 1950-2010. Fisheries Centre Working Paper #2015-22, University of British Columbia, Vancouver. 9 p.”, which is accessible on the EEZ page for Mexico (Pacific) on seaaroundus.org.

To help us track the use of Sea Around Us data, we would appreciate you also citing Pauly, Zeller, and Palomares (2020) as the source of the information in an appropriate part of your text;

When using data from our website that are not part of a typical catch reconstruction (e.g., catches by LME or other spatial entity, subsidies given to fisheries, the estuaries in a given country, or the surface area of a given EEZ), cite both the website and the study that generated the underlying database. Many of these can be derived from the ’methods’ texts associated with data pages on seaaroundus.org. Example: Sumaila et al. (2010) for subsides, Alder (2003) for estuaries and Claus et al. (2014) for EEZ delineations, respectively.

The Sea Around Us data are (where not otherwise regulated) under a Creative Commons Attribution Non-Commercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/). Notices regarding copyrights (© The University of British Columbia), license and disclaimer can be found under http://www.seaaroundus.org/terms-and-conditions/. References:

Alder J (2003) Putting the coast in the Sea Around Us Project. The Sea Around Us Newsletter (15): 1-2.

Cisneros-Montemayor AM, Cisneros-Mata MA, Harper S and Pauly D (2015) Unreported marine fisheries catch in Mexico, 1950-2010. Fisheries Centre Working Paper #2015-22, University of British Columbia, Vancouver. 9 p.

Pauly D, Zeller D, and Palomares M.L.D. (Editors) (2020) Sea Around Us Concepts, Design and Data (www.seaaroundus.org)

Claus S, De Hauwere N, Vanhoorne B, Deckers P, Souza Dias F, Hernandez F and Mees J (2014) Marine Regions: Towards a global standard for georeferenced marine names and boundaries. Marine Geodesy 37(2): 99-125.

Sumaila UR, Khan A, Dyck A, Watson R, Munro R, Tydemers P and Pauly D (2010) A bottom-up re-estimation of global fisheries subsidies. Journal of Bioeconomics 12: 201-225.

This is a comprehensive list of all datasets currently published by Leeds City Council. The register states the URLs for each dataset as listed on the Leeds Data Mill and on council's data and information website. It also provides information on how often the dataset is updated and when the next update is due.

Publishing/signposting sites codes

• LDM = Leeds Data Mill
• DGU = Data.gov.uk
• LCCOD = LCC open data site

Abstract copyright UK Data Service and data collection copyright owner.Background:The Millennium Cohort Study (MCS) is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will requireto provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)to collect information on previously neglected topics, such as fathers' involvement in children's care and developmentto focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may beto emphasise intergenerational links including those back to the parents' own childhoodto investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when availableAdditional objectives subsequently included for MCS were:to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of EnglandFurther information about the MCS can be found on the Centre for Longitudinal Studies web pages.The content of MCS studies, including questions, topics and variables can be explored via the CLOSER Discovery website.The first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, the fifth sweep (MCS5) in 2012-2013, when they were eleven years old, the sixth sweep (MCS6) in 2015, when they were fourteen years old, and the seventh sweep (MCS7) in 2018, when they were seventeen years old.End User Licence versions of MCS studies:The End User Licence (EUL) versions of MCS1, MCS2, MCS3, MCS4, MCS5, MCS6 and MCS7 are held under UK Data Archive SNs 4683, 5350, 5795, 6411, 7464, 8156 and 8682 respectively. The longitudinal family file is held under SN 8172.Sub-sample studies:Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614).Release of Sweeps 1 to 4 to Long Format (Summer 2020)To support longitudinal research and make it easier to compare data from different time points, all data from across all sweeps is now in a consistent format. The update affects the data from sweeps 1 to 4 (from 9 months to 7 years), which are updated from the old/wide to a new/long format to match the format of data of sweeps 5 and 6 (age 11 and 14 sweeps). The old/wide formatted datasets contained one row per family with multiple variables for different respondents. The new/long formatted datasets contain one row per respondent (per parent or per cohort member) for each MCS family. Additional updates have been made to all sweeps to harmonise variable labels and enhance anonymisation. How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:For information on how to access biomedical data from MCS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.Secure Access datasets:Secure Access versions of the MCS have more restrictive access conditions than versions available under the standard End User Licence or Special Licence (see 'Access data' tab above).Secure Access versions of the MCS include:detailed sensitive variables not available under EUL. These have been grouped thematically and are held under SN 8753 (socio-economic, accommodation and occupational data), SN 8754 (self-reported health, behaviour and fertility), SN 8755 (demographics, language and religion) and SN 8756 (exact participation dates). These files replace previously available studies held under SNs 8456 and 8622-8627detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries), SN 7763 (MCS5 2011 Census Boundaries), SN 8231 (MCS6 2001 Census Boundaries), SN 8232 (MCS6 2011 Census Boundaries), SN 8757 (MCS7), SN 8758 (MCS7 2001 Census Boundaries) and SN 8759 (MCS7 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)linked education administrative datasets for Key Stages 1, 2 and 4 held under SN 8481 (England). This replaces previously available datasets for Key Stage 1 (SN 6862) and Key Stage 2 (SN 7712)linked education administrative datasets for Key Stage 1 held under SN 7414 (Scotland)linked education administrative dataset for Key Stages 1, 2, 3 and 4 under SN 9085 (Wales)linked NHS Patient Episode Database for Wales (PEDW) for MCS1 – MCS5 held under SN 8302linked Scottish Medical Records data held under SNs 8709, 8710, 8711, 8712, 8713 and 8714;Banded Distances to English Grammar Schools for MCS5 held under SN 8394linked Health Administrative Datasets (Hospital Episode Statistics) for England for years 2000-2019 held under SN 9030linked Hospital of Birth data held under SN 5724.The linked education administrative datasets held under SNs 8481,7414 and 9085 may be ordered alongside the MCS detailed geographical identifier files only if sufficient justification is provided in the application. Users are also only allowed access to either 2001 or 2011 of Geographical Identifiers Census Boundaries studies. So for MCS5 either SN 7762 (2001 Census Boundaries) or SN 7763 (2011 Census Boundaries), for the MCS6 users are only allowed either SN 8231 (2001 Census Boundaries) or SN 8232 (2011 Census Boundaries); and the same applies for MCS7 so either SN 8758 (2001 Census Boundaries) or SN 8759 (2011 Census Boundaries).Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS Series Access web page). The Millennium Cohort Study: Sweep 3 Banded Distances to Current, First, Second, and Third Choice Schools study provides banded distances to the current, first, second, and third choice school of MCS cohort members at sweep 3 (2006). The cohort members would therefore be aged between four and six years old, and have entered the primary school education system.

Access API NSW Cadastre History Service

Metadata Portal Metadata InformationContent TitleNSW Cadastre History ServiceContent TypeHosted Feature LayerDescriptionThe NSW Cadastre web service is a dynamic map of cadastral features extracted from the Land Parcel and Property theme of the NSW Foundation Spatial Data Framework (FSDF).Spatial datasets collected with time information can show what happened at a specific time, or what may happen in the future. By animating time-based data, it can be visualised at each step, highlighting patterns or trends emerging over time.Spatial Collaboration Portal map layers that are time enabled include different information for the same location at different times.When a dataset contains time enabled layers, it is “time aware”, and can be configured to display the data during a specific period or to animate the data over a selected time. Time animation can be enabled in the map viewer using the time slider tool.Features included in the NSW Cadastre History ServiceLot - Depicts a parcel of land created on a survey plan. Each lot may be represented by standard lots, standard part lots, strata or stratum. Each lot has a lot number, section number, plan lot area, plan number, plan label, ITS title status, and stratum label. Road - Represents dedicated public roads which are open ways for the passage of vehicles, persons or animals on land. The road dataset includes public roads in use. Each road type has a section number, plan number, plan label, ITS title status, road type, road width or Crown/Council width, lot number, and stratum label.Unidentified - Represents a parcel of land that cannot be identified. Crown land, vested, dedicated and severed land may be included in this category as well as Old System lots for which lot/DP identification cannot be found. This dataset also identifies the locations of 100ft wide reserves, ACT regions, closed roads, crossings, surveyed areas, and un-surveyed areas. Water Feature - Represents tidal, non-tidal and ocean waters which form a cadastral boundary.The NSW Cadastre History Service can be used for resource management, environmental management, land use planning, agriculture management, emergency management and recreational purposes. This service can be used to aggregate information for analytical purposes. When used in combination with geocoded address data, imagery, demographic information and agency specific business information, cadastral boundary data underpins the ability to perform high quality spatial analysis.How to use the animated time featureOpen the “Map Viewer”.Select the time enabled feature layer from the contents.Select the “Configure” button (the icon to the bottom right that looks like two slider controls) to open time settings.Select “Show Advanced Settings”Choose your desired playback speedChoose a time and date for “Start Time” and “End Time”. Note. Spatial Services digital data range is 2006 through to present so data is unavailable outside this windowChoose an appropriate length of one time intervalRecommended: “Count: 1” and “Units: Year”.Select “OK” to return to the Map Window.Select the “Play” button which is the small arrow/triangle pointing right which is to the left of the slider.Note: this data is not viewable at all scales, zoom to 1km or betterInitial Publication Date29/10/2019Data Currency01/01/3000Data Update FrequencyOtherContent SourceData provider filesFile TypeESRI File Geodatabase (*.gdb)Attribution© State of New South Wales (Spatial Services, a business unit of the Department of Customer Service NSW). For current information go to spatial.nsw.gov.auData Theme, Classification or Relationship to other DatasetsNSW Property and Land Parcels Theme of the Foundation Spatial Data Framework (FSDF)AccuracyThe dataset maintains a positional relationship to, and alignment with, the Lot and Property digital datasets. This dataset was captured by digitising the best available cadastral mapping at a variety of scales and accuracies, ranging from 1:500 to 1:250 000 according to the National Mapping Council of Australia, Standards of Map Accuracy (1975). Therefore, the position of the feature instance will be within 0.5mm at map scale for 90% of the well-defined points. That is, 1:500 = 0.25m, 1:2000 = 1m, 1:4000 = 2m, 1:25000 = 12.5m, 1:50000 = 25m and 1:100000 = 50m. A program to upgrade the spatial location and accuracy of data is ongoing.Spatial Reference System (dataset)GDA94Spatial Reference System (web service)EPSG:3857WGS84 Equivalent ToGDA94Spatial ExtentFull StateContent LineageFor additional information, please contact us via the Spatial Services Customer HubData ClassificationUnclassifiedData Access PolicyOpenData QualityFor additional information, please contact us via the Spatial Services Customer HubTerms and ConditionsCreative CommonsStandard and SpecificationOpen Geospatial Consortium (OGC) implemented and compatible for consumption by common GIS platforms. Available as either cache or non-cache, depending on client use or requirement. Data CustodianDCS Spatial Services346 Panorama AveBathurst NSW 2795Point of ContactPlease contact us via the Spatial Services Customer HubData AggregatorDCS Spatial Services346 Panorama AveBathurst NSW 2795Data DistributorDCS Spatial Services346 Panorama AveBathurst NSW 2795Additional Supporting InformationData DictionariesTRIM Number

AbstractMonitoring sites where rainfall data, defined as 'accumulated precipitation depth, including the water-equivalent precipitation depth' (subcategory 4a of the Water Regulations 2008), is collected, stored and provided to the Bureau of Meteorology by data owner organisations. The sites represent the current offering on the Bureau of Meteorology's Water Data Online website. Sites presented on the Water Data Online website have gone through a series of high-level quality checks. This data is subject to their terms and conditions of use. Please refer to Copyright on the Water Data Online website, and Disclaimer statements relating to the use of Bureau of Meteorology material.CurrencyDate modified: 5 August 2025Modification frequency: Quarterly, new sites introduced to Water Data Online after the last update will appear in the next update.Data extentCoordinate Reference: Geocentric Datum of Australia 1994 (GDA94)Spatial extentNorth: -9°South: -55°East: 170°West: 70°Source informationData has been delivered to Digital Atlas Australia, in CSV format, by the Bureau of Meteorology on 5th August 2025.Lineage statementThe Bureau of Meteorology is the custodian of water data provided by external organisations under the Water Regulations 2008. The organisations from which the data originates are known as ‘data owners’. The Bureau of Meteorology stores most data received under the Water Regulations 2008 in the Australian Water Resource Information System (AWRIS). The Bureau receives rainfall time-series data for each of the monitoring sites presented in this dataset. Some high-level quality checks have been performed on the data to warrant their suitability to publish them on the Bureau of Meteorology's Water Data Online website. The monitoring points presented in this dataset only reflect those that are published on Water Data Online.The monitoring sites all have a URL link to the Water Data Online station page, where the time-series data for the specific site is available to inspect and download. It will also include the information/data for other variables measured at the site as well as a number of summary and specialist reports giving specific information about the data. All time-series data presented on Water Data Online can be accessed via the Bureau of Meteorology's SOS2 web services (API). SOS2 web services for Water Data Online can be accessed via the GetCapabilities request for BOM Water Data Services. Further information can be found in the FAQ tab of Water Data Online (last item).For this dataset, the Digital Atlas of Australia team at Geoscience Australia has made minor amendments and the addition of cartographic symbology to support conversion into a hosted feature service. Additionally, labels and popups were added to improve accessibility and enhance ease of use. Data dictionary           

      Attribute name

      Field Type 
      Description 

      site_no 
      String 

      A unique identifier assigned to a specific site within the dataset. Often numeric or alphanumeric 


      site_name 
      String 

      The name or label given to the site, typically reflecting its geographic or operational significance. 


      station_no 
      String 

      A unique code or number identifying a monitoring or sampling station within the site 

      station_name 
      String 

      The name of the station, which may be descriptive or standardised across datasets 


      station_longname 
      String 

      A more detailed or extended version of the station name, possibly including location, purpose, or other attributes 


      station_latitude 
      Numeric 

      The latitude coordinate of the station, typically in decimal degrees. 


      station_longitude 
      Numeric 

      The longitude coordinate of the station, typically in decimal degrees. 


      station_georeference_system 
      String 

      The spatial reference system used to define the station's location (e.g. GDA94) 


      data_owner 
      String 

      The organisation or entity responsible for collecting or maintaining the data. 

      data_owner_name 
      String 

      The full name of the data-owning organisation or individual 


      direct_url 
      String 

      URL link to the Water Data Online station page, where the time-series data for the specific site is available to inspect and download 

ContactBureau of Meteorology, waterdatasupport@bom.gov.au

analyze the health and retirement study (hrs) with r the hrs is the one and only longitudinal survey of american seniors. with a panel starting its third decade, the current pool of respondents includes older folks who have been interviewed every two years as far back as 1992. unlike cross-sectional or shorter panel surveys, respondents keep responding until, well, death d o us part. paid for by the national institute on aging and administered by the university of michigan's institute for social research, if you apply for an interviewer job with them, i hope you like werther's original. figuring out how to analyze this data set might trigger your fight-or-flight synapses if you just start clicking arou nd on michigan's website. instead, read pages numbered 10-17 (pdf pages 12-19) of this introduction pdf and don't touch the data until you understand figure a-3 on that last page. if you start enjoying yourself, here's the whole book. after that, it's time to register for access to the (free) data. keep your username and password handy, you'll need it for the top of the download automation r script. next, look at this data flowchart to get an idea of why the data download page is such a righteous jungle. but wait, good news: umich recently farmed out its data management to the rand corporation, who promptly constructed a giant consolidated file with one record per respondent across the whole panel. oh so beautiful. the rand hrs files make much of the older data and syntax examples obsolete, so when you come across stuff like instructions on how to merge years, you can happily ignore them - rand has done it for you. the health and retirement study only includes noninstitutionalized adults when new respondents get added to the panel (as they were in 1992, 1993, 1998, 2004, and 2010) but once they're in, they're in - respondents have a weight of zero for interview waves when they were nursing home residents; but they're still responding and will continue to contribute to your statistics so long as you're generalizing about a population from a previous wave (for example: it's possible to compute "among all americans who were 50+ years old in 1998, x% lived in nursing homes by 2010"). my source for that 411? page 13 of the design doc. wicked. this new github repository contains five scripts: 1992 - 2010 download HRS microdata.R loop through every year and every file, download, then unzip everything in one big party impor t longitudinal RAND contributed files.R create a SQLite database (.db) on the local disk load the rand, rand-cams, and both rand-family files into the database (.db) in chunks (to prevent overloading ram) longitudinal RAND - analysis examples.R connect to the sql database created by the 'import longitudinal RAND contributed files' program create tw o database-backed complex sample survey object, using a taylor-series linearization design perform a mountain of analysis examples with wave weights from two different points in the panel import example HRS file.R load a fixed-width file using only the sas importation script directly into ram with < a href="http://blog.revolutionanalytics.com/2012/07/importing-public-data-with-sas-instructions-into-r.html">SAScii parse through the IF block at the bottom of the sas importation script, blank out a number of variables save the file as an R data file (.rda) for fast loading later replicate 2002 regression.R connect to the sql database created by the 'import longitudinal RAND contributed files' program create a database-backed complex sample survey object, using a taylor-series linearization design exactly match the final regression shown in this document provided by analysts at RAND as an update of the regression on pdf page B76 of this document . click here to view these five scripts for more detail about the health and retirement study (hrs), visit: michigan's hrs homepage rand's hrs homepage the hrs wikipedia page a running list of publications using hrs notes: exemplary work making it this far. as a reward, here's the detailed codebook for the main rand hrs file. note that rand also creates 'flat files' for every survey wave, but really, most every analysis you c an think of is possible using just the four files imported with the rand importation script above. if you must work with the non-rand files, there's an example of how to import a single hrs (umich-created) file, but if you wish to import more than one, you'll have to write some for loops yourself. confidential to sas, spss, stata, and sudaan users: a tidal wave is coming. you can get water up your nose and be dragged out to sea, or you can grab a surf board. time to transition to r. :D

Background:
The Millennium Cohort Study (MCS) is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:

• to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will require
• to provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)
• to collect information on previously neglected topics, such as fathers' involvement in children's care and development
• to focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may be
• to emphasise intergenerational links including those back to the parents' own childhood
• to investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when available

Additional objectives subsequently included for MCS were:

• to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)
• to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of England

Further information about the MCS can be found on the Centre for Longitudinal Studies web pages.

The content of MCS studies, including questions, topics and variables can be explored via the CLOSER Discovery website.

The first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, the fifth sweep (MCS5) in 2012-2013, when they were eleven years old, the sixth sweep (MCS6) in 2015, when they were fourteen years old, and the seventh sweep (MCS7) in 2018, when they were seventeen years old.

Safeguarded versions of MCS studies:
The Safeguarded versions of MCS1, MCS2, MCS3, MCS4, MCS5, MCS6 and MCS7 are held under UK Data Archive SNs 4683, 5350, 5795, 6411, 7464, 8156 and 8682 respectively. The longitudinal family file is held under SN 8172.

Polygenic Indices
Polygenic indices are available under Special Licence SN 9437. Derived summary scores have been created that combine the estimated effects of many different genes on a specific trait or characteristic, such as a person's risk of Alzheimer's disease, asthma, substance abuse, or mental health disorders, for example. These polygenic scores can be combined with existing survey data to offer a more nuanced understanding of how cohort members' outcomes may be shaped.

Sub-sample studies:
Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614).

Release of Sweeps 1 to 4 to Long Format (Summer 2020)
To support longitudinal research and make it easier to compare data from different time points, all data from across all sweeps is now in a consistent format. The update affects the data from sweeps 1 to 4 (from 9 months to 7 years), which are updated from the old/wide to a new/long format to match the format of data of sweeps 5 and 6 (age 11 and 14 sweeps). The old/wide formatted datasets contained one row per family with multiple variables for different respondents. The new/long formatted datasets contain one row per respondent (per parent or per cohort member) for each MCS family. Additional updates have been made to all sweeps to harmonise variable labels and enhance anonymisation.

How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
For information on how to access biomedical data from MCS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

Secure Access datasets:
Secure Access versions of the MCS have more restrictive access conditions than versions available under the standard Safeguarded Licence or Special Licence (see 'Access data' tab above).

Secure Access versions of the MCS include:

• detailed sensitive variables not available under EUL. These have been grouped thematically and are held under SN 8753 (socio-economic, accommodation and occupational data), SN 8754 (self-reported health, behaviour and fertility), SN 8755 (demographics, language and religion) and SN 8756 (exact participation dates). These files replace previously available studies held under SNs 8456 and 8622-8627
  
• detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries), SN 7763 (MCS5 2011 Census Boundaries), SN 8231 (MCS6 2001 Census Boundaries), SN 8232 (MCS6 2011 Census Boundaries), SN 8757 (MCS7), SN 8758 (MCS7 2001 Census Boundaries) and SN 8759 (MCS7 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)
• linked education administrative datasets for Key Stages 1, 2, 4 and 5 held under SN 8481 (England). This replaces previously available datasets for Key Stage 1 (SN 6862) and Key Stage 2 (SN 7712)
  
• linked education administrative datasets for Key Stage 1 held under SN 7414 (Scotland)
• linked education administrative dataset for Key Stages 1, 2, 3 and 4 under SN 9085 (Wales)
  
• linked NHS Patient Episode Database for Wales (PEDW) for MCS1 – MCS5 held under SN 8302
• linked Scottish Medical Records data held under SNs 8709, 8710, 8711, 8712, 8713 and 8714;
• Banded Distances to English Grammar Schools for MCS5 held under SN 8394
• linked Health Administrative Datasets (Hospital Episode Statistics) for England for years 2000-2019 held under SN 9030
• linked Hospital of Birth data held under SN 5724.

The linked education administrative datasets held under SNs 8481,7414 and 9085 may be ordered alongside the MCS detailed geographical identifier files only if sufficient justification is provided in the application.

Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS Series Access web page).

International Data Access Network (IDAN)
These data are now available to researchers based outside the UK. Selected UKDS SecureLab/controlled datasets from the Institute for Social and Economic Research (ISER) and the Centre for Longitudinal Studies (CLS) have been made available under the International Data Access Network (IDAN) scheme, via a Safe Room access point at one of the UKDS IDAN partners. Prospective users should read the UKDS SecureLab application guide for non-ONS data for researchers outside of the UK via Safe Room Remote Desktop Access. Further details about the IDAN scheme can be found on the UKDS International Data Access Network webpage and on the IDAN website.

Latest edition information:
For the second edition (February 2017), the data file has been updated to correct discrepancies found in the first edition.

Export Data Access API NSW Elevation and Depth Theme – Relative Heights

Please Note WGS 84 service aligned to GDA94 This dataset has spatial reference [WGS 84 ≈ GDA94] which may result in misalignments when viewed in GDA2020 environments. A similar service with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 and WGS 84 ≈ GDA2020 environments. In due course, and allowing time for user feedback and testing, it is intended that the original service name will adopt the new multiCRS functionality. Metadata Portal Metadata Information Content TitleNSW Elevation and Depth ThemeContent TypeHosted Feature LayerDescriptionRelative Height is a point feature class representing relative heights of a vertical face of a cliff.Elevation and Depth provides an authoritative digital representation of the Earth’s surface enabling evidence based decision making, policy development and an essential reference to other foundation datasets.Elevation and Depth underpins:Safe hydrographic, aeronautical and road navigationClimate science, including climate change adaptationEmergency management and natural hazard risk assessmentEnvironmental, including water managementDefinition of maritime and administrative boundariesDefence and national securityNatural resource exploration and exploitationData is as initially captured at 1:25 000, 1:50 000 and 1:100 000 scales from stereoscopic aerial photography.Initial Publication Date03/02/2020Data Currency01/01/3000Data Update FrequencyOtherContent SourceData provider filesFile TypeESRI File Geodatabase (*.gdb)Attribution© State of New South Wales (Spatial Services, a business unit of the Department of Customer Service NSW). For current information go to spatial.nsw.gov.auData Theme, Classification or Relationship to other DatasetsNSW Elevation and Depth Theme of the Foundation Spatial Data Framework (FSDF)AccuracyThis dataset was captured by utilising the best available source at a variety of scales and accuracies, ranging from 1:500 to 1:250 000 according to the National Mapping Council of Australia, Standards of Map Accuracy (1975). Therefore, the position of the feature instance will be within 0.5mm at map scale for 90% of the well-defined points. That is, 1:500 = 0.25m, 1:2000 = 1m, 1:4000 = 2m, 1:25000 = 12.5m, 1:50000 = 25m and 1:100000 = 50m. A program to upgrade the spatial location and accuracy of data is ongoing. Spatial Accuracy Horizontal: +/-1.25 @95% Confidence IntervalSpatial Accuracy Vertical: +/-0.9 @95% Confidence IntervalCalibration certification (Manufacturer/Cert. Company): DCS, Spatial Services.Spatial Reference System (dataset)GDA94Spatial Reference System (web service)EPSG:3857WGS84 Equivalent ToGDA94Spatial ExtentFull StateContent LineageFor additional information, please contact us via the Spatial Services Customer HubData ClassificationUnclassifiedData Access PolicyOpenData QualityFor additional information, please contact us via the Spatial Services Customer HubTerms and ConditionsCreative CommonsStandard and SpecificationAS/NZS ISO 19115 - ANZLIC Metadata Profile Version 1.1AS/NZS ISO 19131:2008 Geographic Information - Data product specificationsOGC compliant Web Map Services (WMS) and Web Feature Services (WFS)Metadata for the relevant Spatial Services datasets complies with AS/NZS ISO 19115-2, ANZLIC Metadata Profile v1.1 and ISO 19139 Intergovernmental Committee on Surveying and Mapping (ICSM): Guidelines for Digital Elevation DataDCS Spatial Services: Elevation Data Products Specification and Description (LiDAR)DCS Spatial Services: Elevation Data Products Specification and Description (Airborne Photogrammetry) Data CustodianDCS Spatial Services346 Panorama Ave Bathurst NSW 2795Point of ContactPlease contact us via the Spatial Services Customer HubData AggregatorDCS Spatial Services346 Panorama Ave Bathurst NSW 2795Data DistributorDCS Spatial Services346 Panorama Ave Bathurst NSW 2795Additional Supporting InformationData DictionariesTRIM Number

The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching *** zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than *** zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just * percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of **** percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached *** zettabytes.

Land, building, and total assessed values for all Cook County parcels, from 1999 to present. The Assessor's Office uses these values for reporting, evaluating assessment performance over time, and research. When working with Parcel Index Numbers (PINs) make sure to zero-pad them to 14 digits. Some datasets may lose leading zeros for PINs when downloaded. This data is parcel-level. Each row contains the assessed values for a single PIN for a single year. Important notes:Assessed values are available in three stages: 1) mailed, these are the initial values estimated by the Assessor's Office and mailed to taxpayers. 2) certified, these are values after the Assessor's Office closes appeals. 3) Board of Review certified, these are values after the Board of Review closes appeals. The values in this data are assessed values, NOT market values. Assessed values must be adjusted by their level of assessment to arrive at market value. Note that levels of assessment have changed throughout the time period covered by this data set. This data set will be updated roughly contemporaneously (monthly) with the Assessor's website as values are mailed and certified. However, note that there may be small discrepancies between the Assessor's site and this data set, as each pulls from a slightly different system. If you find a discrepancy, please email the Data Department using the contact link below. This dataset contains data for the current tax year, which may not yet be complete or final. Assessed values for any given year are subject to change until review and certification of values by the Cook County Board of Review, though there are a few rare circumstances where values may change for the current or past years after that. Rowcount for a given year is final once the Assessor has certified the assessment roll all townships. Current property class codes, their levels of assessment, and descriptions can be found on the Assessor's website. Note that class codes details can change across time.For more information on the sourcing of attached data and the preparation of this dataset, see the Assessor's Standard Operating Procedures for Open Data on GitHub. Read about the Assessor's 2025 Open Data Refresh.

AbstractMonitoring sites where water temperature data, defined as 'temperature of surface water collected above the tidal limit of a watercourse' (subcategory 9h of the Water Regulations 2008), is collected, stored and provided to the Bureau of Meteorology by data owner organisations. The sites represent the current offering on the Bureau of Meteorology's Water Data Online website. Sites presented on the Water Data Online website have gone through a series of high-level quality checks. This data is subject to their terms and conditions of use. Please refer to Copyright on the Water Data Online website, and Disclaimer statements relating to the use of Bureau of Meteorology material. Currency

Date modified: 05 August 2025

Modification frequency: Quarterly, new sites introduced to Water Data Online after the last update will appear in the next update Data extent

Coordinate Reference: Geocentric Datum of Australia 1994 (GDA94)

Spatial extent North: -9°South: -55°East: 170°West: 70° Source information Data has been delivered to Digital Atlas Australia, in CSV format, by the Bureau of Meteorology on 5th August 2025. Lineage statement The Bureau of Meteorology is the custodian of water data provided by external organisations under the Water Regulations 2008. The organisations from which the data originates are known as ‘data owners’. The Bureau stores most data received under the Water Regulations 2008 in the Australian Water Resource Information System (AWRIS). The Bureau receives water temperature time-series data for each of the monitoring sites presented in this dataset. Some high-level quality checks have been performed on the data to warrant their suitability to publish them on the Bureau's Water Data Online website. The monitoring points presented in this dataset only reflect those that are published on Water Data Online.The monitoring sites all have a URL link to the Water Data Online station page, where the time-series data for the specific site is available to inspect and download. It will also include the information/data for other variables measured at the site as well as a number of summary and specialist reports giving specific information about the data. All time-series data presented on Water Data Online can be accessed via the Bureau's SOS2 web services (API). SOS2 web services for Water Data Online can be accessed via the GetCapabilities request for BOM Water Data Services. Further information can be found in the FAQ tab of Water Data Online (last item). For this dataset, the Digital Atlas of Australia team at Geoscience Australia has made minor amendments and the addition of cartographic symbology to support conversion into a hosted feature service. Additionally, labels and popups were added to improve accessibility and enhance ease of use. Data dictionary                                           

      Attribute name

      Field Type 
      Description 

      site_no 
      String 

      A unique identifier assigned to a specific site within the dataset. Often numeric or alphanumeric 


      site_name 
      String 

      The name or label given to the site, typically reflecting its geographic or operational significance. 


      station_no 
      String 

      A unique code or number identifying a monitoring or sampling station within the site 

      station_name 
      String 

      The name of the station, which may be descriptive or standardised across datasets 


      station_longname 
      String 

      A more detailed or extended version of the station name, possibly including location, purpose, or other attributes 


      station_latitude 
      Numeric 

      The latitude coordinate of the station, typically in decimal degrees. 


      station_longitude 
      Numeric 

      The longitude coordinate of the station, typically in decimal degrees. 


      station_georeference_system 
      String 

      The spatial reference system used to define the station's location (e.g. GDA94) 


      data_owner 
      String 

      The organisation or entity responsible for collecting or maintaining the data. 

      data_owner_name 
      String 

      The full name of the data-owning organisation or individual 


      direct_url 
      String 

      URL link to the Water Data Online station page, where the time-series data for the specific site is available to inspect and download 

Contact Bureau of Meteorology, waterdatasupport@bom.gov.au

Background:
The Millennium Cohort Study (MCS) is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:

• to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will require
• to provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)
• to collect information on previously neglected topics, such as fathers' involvement in children's care and development
• to focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may be
• to emphasise intergenerational links including those back to the parents' own childhood
• to investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when available

Additional objectives subsequently included for MCS were:

• to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)
• to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of England

Further information about the MCS can be found on the Centre for Longitudinal Studies web pages.

The content of MCS studies, including questions, topics and variables can be explored via the CLOSER Discovery website.

The first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, the fifth sweep (MCS5) in 2012-2013, when they were eleven years old, the sixth sweep (MCS6) in 2015, when they were fourteen years old, and the seventh sweep (MCS7) in 2018, when they were seventeen years old.

Safeguarded versions of MCS studies:
The Safeguarded versions of MCS1, MCS2, MCS3, MCS4, MCS5, MCS6 and MCS7 are held under UK Data Archive SNs 4683, 5350, 5795, 6411, 7464, 8156 and 8682 respectively. The longitudinal family file is held under SN 8172.

Polygenic Indices
Polygenic indices are available under Special Licence SN 9437. Derived summary scores have been created that combine the estimated effects of many different genes on a specific trait or characteristic, such as a person's risk of Alzheimer's disease, asthma, substance abuse, or mental health disorders, for example. These polygenic scores can be combined with existing survey data to offer a more nuanced understanding of how cohort members' outcomes may be shaped.

Sub-sample studies:
Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614).

Release of Sweeps 1 to 4 to Long Format (Summer 2020)
To support longitudinal research and make it easier to compare data from different time points, all data from across all sweeps is now in a consistent format. The update affects the data from sweeps 1 to 4 (from 9 months to 7 years), which are updated from the old/wide to a new/long format to match the format of data of sweeps 5 and 6 (age 11 and 14 sweeps). The old/wide formatted datasets contained one row per family with multiple variables for different respondents. The new/long formatted datasets contain one row per respondent (per parent or per cohort member) for each MCS family. Additional updates have been made to all sweeps to harmonise variable labels and enhance anonymisation.

How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
For information on how to access biomedical data from MCS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

Secure Access datasets:
Secure Access versions of the MCS have more restrictive access conditions than versions available under the standard Safeguarded Licence or Special Licence (see 'Access data' tab above).

Secure Access versions of the MCS include:

• detailed sensitive variables not available under EUL. These have been grouped thematically and are held under SN 8753 (socio-economic, accommodation and occupational data), SN 8754 (self-reported health, behaviour and fertility), SN 8755 (demographics, language and religion) and SN 8756 (exact participation dates). These files replace previously available studies held under SNs 8456 and 8622-8627
  
• detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries), SN 7763 (MCS5 2011 Census Boundaries), SN 8231 (MCS6 2001 Census Boundaries), SN 8232 (MCS6 2011 Census Boundaries), SN 8757 (MCS7), SN 8758 (MCS7 2001 Census Boundaries) and SN 8759 (MCS7 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)
• linked education administrative datasets for Key Stages 1, 2, 4 and 5 held under SN 8481 (England). This replaces previously available datasets for Key Stage 1 (SN 6862) and Key Stage 2 (SN 7712)
  
• linked education administrative datasets for Key Stage 1 held under SN 7414 (Scotland)
• linked education administrative dataset for Key Stages 1, 2, 3 and 4 under SN 9085 (Wales)
  
• linked NHS Patient Episode Database for Wales (PEDW) for MCS1 – MCS5 held under SN 8302
• linked Scottish Medical Records data held under SNs 8709, 8710, 8711, 8712, 8713 and 8714;
• Banded Distances to English Grammar Schools for MCS5 held under SN 8394
• linked Health Administrative Datasets (Hospital Episode Statistics) for England for years 2000-2019 held under SN 9030
• linked Hospital of Birth data held under SN 5724.

The linked education administrative datasets held under SNs 8481,7414 and 9085 may be ordered alongside the MCS detailed geographical identifier files only if sufficient justification is provided in the application.

Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS Series Access web page).

Millennium Cohort Study: Linked Education Administrative Datasets (KS1-KS4), Wales: Secure Access

These datasets include education administrative records for Wales up to age 16 to survey data for cohort members in the MCS. The main aim of this data linkage exercise is to enhance the research potential of the study, by combining administrative education records with the rich information collected in the surveys.

Datasets include anonymised Local Education Authorities (LEA) to allow comparison of results across LEA. The data were obtained only for children whose parents/carers gave consent to data linkage, and who were successfully matched.

The DSS assembled this long time-series collection of monthly gridded Northern Hemispheric data from the output of various operational models. Monthly mean grids are available separately for 00Z and 12Z ... (or 03Z and 15Z in the earlier years). Parameters include temperature, geopotential height, and u- and v- wind components at various tropospheric levels, and sea-level pressure and surface temperature. The data are presented on a 47-by-51 north polar stereographic grid with a 381 kilometer resolution (at 60N). We continue to update this dataset mainly for users who have used it in the past and wish to continue receiving the same format. Particularly from April 1997 on, the grids in this dataset are derived from NCEP operational outputs that have a better resolution that what is offered here, so please consider those other more-recent datasets especially if your needs are for data from the late 1990s onward.

The Bureau of the Census has released Census 2000 Summary File 1 (SF1) 100-Percent data. The file includes the following population items: sex, age, race, Hispanic or Latino origin, household relationship, and household and family characteristics. Housing items include occupancy status and tenure (whether the unit is owner or renter occupied). SF1 does not include information on incomes, poverty status, overcrowded housing or age of housing. These topics will be covered in Summary File 3. Data are available for states, counties, county subdivisions, places, census tracts, block groups, and, where applicable, American Indian and Alaskan Native Areas and Hawaiian Home Lands. The SF1 data are available on the Bureau's web site and may be retrieved from American FactFinder as tables, lists, or maps. Users may also download a set of compressed ASCII files for each state via the Bureau's FTP server. There are over 8000 data items available for each geographic area. The full listing of these data items is available here as a downloadable compressed data base file named TABLES.ZIP. The uncompressed is in FoxPro data base file (dbf) format and may be imported to ACCESS, EXCEL, and other software formats. While all of this information is useful, the Office of Community Planning and Development has downloaded selected information for all states and areas and is making this information available on the CPD web pages. The tables and data items selected are those items used in the CDBG and HOME allocation formulas plus topics most pertinent to the Comprehensive Housing Affordability Strategy (CHAS), the Consolidated Plan, and similar overall economic and community development plans. The information is contained in five compressed (zipped) dbf tables for each state. When uncompressed the tables are ready for use with FoxPro and they can be imported into ACCESS, EXCEL, and other spreadsheet, GIS and database software. The data are at the block group summary level. The first two characters of the file name are the state abbreviation. The next two letters are BG for block group. Each record is labeled with the code and name of the city and county in which it is located so that the data can be summarized to higher-level geography. The last part of the file name describes the contents . The GEO file contains standard Census Bureau geographic identifiers for each block group, such as the metropolitan area code and congressional district code. The only data included in this table is total population and total housing units. POP1 and POP2 contain selected population variables and selected housing items are in the HU file. The MA05 table data is only for use by State CDBG grantees for the reporting of the racial composition of beneficiaries of Area Benefit activities. The complete package for a state consists of the dictionary file named TABLES, and the five data files for the state. The logical record number (LOGRECNO) links the records across tables.

Abstract copyright UK Data Service and data collection copyright owner.Background:The Millennium Cohort Study (MCS) is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will requireto provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)to collect information on previously neglected topics, such as fathers' involvement in children's care and developmentto focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may beto emphasise intergenerational links including those back to the parents' own childhoodto investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when availableAdditional objectives subsequently included for MCS were:to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of EnglandFurther information about the MCS can be found on the Centre for Longitudinal Studies web pages.The content of MCS studies, including questions, topics and variables can be explored via the CLOSER Discovery website. The first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, the fifth sweep (MCS5) in 2012-2013, when they were eleven years old, the sixth sweep (MCS6) in 2015, when they were fourteen years old, and the seventh sweep (MCS7) in 2018, when they were seventeen years old.End User Licence versions of MCS studies:The End User Licence (EUL) versions of MCS1, MCS2, MCS3, MCS4, MCS5, MCS6 and MCS7 are held under UK Data Archive SNs 4683, 5350, 5795, 6411, 7464, 8156 and 8682 respectively. The longitudinal family file is held under SN 8172.Sub-sample studies:Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614).Release of Sweeps 1 to 4 to Long Format (Summer 2020)To support longitudinal research and make it easier to compare data from different time points, all data from across all sweeps is now in a consistent format. The update affects the data from sweeps 1 to 4 (from 9 months to 7 years), which are updated from the old/wide to a new/long format to match the format of data of sweeps 5 and 6 (age 11 and 14 sweeps). The old/wide formatted datasets contained one row per family with multiple variables for different respondents. The new/long formatted datasets contain one row per respondent (per parent or per cohort member) for each MCS family. Additional updates have been made to all sweeps to harmonise variable labels and enhance anonymisation. How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:For information on how to access biomedical data from MCS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.Secure Access datasets:Secure Access versions of the MCS have more restrictive access conditions than versions available under the standard End User Licence or Special Licence (see 'Access data' tab above).Secure Access versions of the MCS include:detailed sensitive variables not available under EUL. These have been grouped thematically and are held under SN 8753 (socio-economic, accommodation and occupational data), SN 8754 (self-reported health, behaviour and fertility), SN 8755 (demographics, language and religion) and SN 8756 (exact participation dates). These files replace previously available studies held under SNs 8456 and 8622-8627detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries), SN 7763 (MCS5 2011 Census Boundaries), SN 8231 (MCS6 2001 Census Boundaries), SN 8232 (MCS6 2011 Census Boundaries), SN 8757 (MCS7), SN 8758 (MCS7 2001 Census Boundaries) and SN 8759 (MCS7 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)linked education administrative datasets for Key Stages 1, 2 and 4 held under SN 8481 (England). This replaces previously available datasets for Key Stage 1 (SN 6862) and Key Stage 2 (SN 7712)linked education administrative datasets for Key Stage 1 held under SN 7414 (Scotland)linked education administrative dataset for Key Stages 1, 2, 3 and 4 under SN 9085 (Wales)linked NHS Patient Episode Database for Wales (PEDW) for MCS1 – MCS5 held under SN 8302linked Scottish Medical Records data held under SNs 8709, 8710, 8711, 8712, 8713 and 8714;Banded Distances to English Grammar Schools for MCS5 held under SN 8394linked Health Administrative Datasets (Hospital Episode Statistics) for England for years 2000-2019 held under SN 9030linked Hospital of Birth data held under SN 5724.The linked education administrative datasets held under SNs 8481,7414 and 9085 may be ordered alongside the MCS detailed geographical identifier files only if sufficient justification is provided in the application. Users are also only allowed access to either 2001 or 2011 of Geographical Identifiers Census Boundaries studies. So for MCS5 either SN 7762 (2001 Census Boundaries) or SN 7763 (2011 Census Boundaries), for the MCS6 users are only allowed either SN 8231 (2001 Census Boundaries) or SN 8232 (2011 Census Boundaries); and the same applies for MCS7 so either SN 8758 (2001 Census Boundaries) or SN 8759 (2011 Census Boundaries).Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS Series Access web page). International Data Access Network (IDAN)These data are now available to researchers based outside the UK. Selected UKDS SecureLab/controlled datasets from the Institute for Social and Economic Research (ISER) and the Centre for Longitudinal Studies (CLS) have been made available under the International Data Access Network (IDAN) scheme, via a Safe Room access point at one of the UKDS IDAN partners. Prospective users should read the UKDS SecureLab application guide for non-ONS data for researchers outside of the UK via Safe Room Remote Desktop Access. Further details about the IDAN scheme can be found on the UKDS International Data Access Network webpage and on the IDAN website. Main Topics: SN 8755 - Millennium Cohort Study, Sweeps 1-7, 2001-2019: Demographics, Language and Religion: Secure Access contains respondents’ ethnic group, religion, language of interview and language spoken at home variables for all sweeps. Country of birth variables are available for sweeps 1-5 and relationship to the cohort member (CREL) variables are available for sweep 7. A MCS Research ID variable is also provided in each data file to facilitate matching to other MCS data files. Multi-stage stratified random sample Face-to-face interview

ReefTEMPS is a sensors network initiated in 1958 to monitor the coastal area of the South, West and South-West Pacific. This long-term observatory allows the acquisition of several parameters: Sea temperature, Electrical conductivity / practical salinity, Sea pressure / Waves height & period / sea level, Fluorescence, Turbidity, with high or medium frequency (from 1 second to 30 minutes). The main objective is to study the climatic parameters of the tropical ocean with a focus on the coastal sea waters to monitor the long-term effects of the global change and its impacts on the coral reefs and theirs resources. ReefTEMPS is part of the French national federative Research Infrastructure for coastal ocean and seashore observations named IR I-LICO. It is an observation service operated by ENTROPIE since 2019 (and before by the GOPS (South Pacific integrated observatory for the environment, terrestrial and marine biodiversity) in 2010-2017 and by LEGOS in 2018). FOUR operators each manage a sub-region: ENTROPIE/IRD New-Caledonia (New-Caledonia and Vanuatu), University of New-Caledonia (Wallis and Futuna), University of the South Pacific (USP) (Fiji) and the Pacific community (SPC) (Pacific States). ReefTEMPS include a sensors-oriented environmental information system. It provides different types of interoperable services (including OGC standard SOS - Sensor Observation Service), each tailored to a specific scientific users community. The measurements provided by sensors, deployed for more than 40years for some, are stored in a dedicated database designed by US IMAGO in the late 2000s. By aggregating historical IRD stations, ReefTEMPS provides very long time series exceeding 60 years. All data acquired are publicly accessible without any restriction (under CC-BY licence). The extracted data are accessible from this ReefTEMPS landing page with a downloadable ZIP file. All the data acquired, including the most recent data, are accessible from the ReefTEMPS data portal and through the different ReefTEMPS web services. The ZIP archive contains all ReefTEMPS data acquiried since 1958 to the last update, for all parameters, and with different quality levels (from RAW to historical series). The ZIP archive contains 204 data files in NetCDF OceanCite 2.0 format. There is one file for each platform, with different parameter and different quality level.