The UK daily weather observation data contain meteorological values measured on a 24 hour time scale. The measurements of sunshine duration, concrete state, snow depth, fresh snow depth, and days of snow, hail, thunder and gail were attained by observation stations operated by the Met Office across the UK operated and transmitted within DLY3208, NCM, AWSDLY and SYNOP messages. The data span from 1887 to 2023. For details of observations see the relevant sections of the MIDAS User Guide linked from this record for the various message types.

This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2023.

This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily weather observations within the full MIDAS collection.

The UK hourly weather observation data contain meteorological values measured on an hourly time scale. The measurements of the concrete state, wind speed and direction, cloud type and amount, visibility, and temperature were recorded by observation stations operated by the Met Office across the UK and transmitted within SYNOP, DLY3208, AWSHRLY and NCM messages. The sunshine duration measurements were transmitted in the HSUN3445 message. The data spans from 1875 to 2023.

This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2023.

For details on observing practice see the message type information in the MIDAS User Guide linked from this record and relevant sections for parameter types.

This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Note, METAR message types are not included in the Open version of this dataset. Those data may be accessed via the full MIDAS hourly weather data.

The UK daily rainfall data contain rainfall accumulation and precipitation amounts over a 24 hour period. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSDLY, DLY3208 and SSER. The data spans from 1853 to 2017. Over time a range of rain gauges have been used - see section 5.6 and the relevant message type information in the linked MIDAS User Guide for further details. This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset. Currently this represents approximately 13% of available daily rainfall observations within the full MIDAS collection.

The UK daily temperature data contain maximum and minimum temperatures (air, grass and concrete slab) measured over a period of up to 24 hours. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM, DLY3208 or AWSDLY messages. The data span from 1853 to 2022. For details on measurement techniques, including calibration information and changes in measurements, see section 5.2 of the MIDAS User Guide linked to from this record. Soil temperature data may be found in the UK soil temperature datasets linked from this record.

This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2022.

This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily temperature observations within the full MIDAS collection.

The UK mean wind data contain the mean wind speed and direction, and the direction, speed and time of the maximum gust, all during 1 or more hours, ending at the stated time and date. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, DLY3208, HWNDAUTO and HWND6910. The data spans from 1949 to 2023.

This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2023.

For further details on observing practice, including measurement accuracies for the message types, see relevant sections of the MIDAS User Guide linked from this record (e.g. section 3.3 details the wind network in the UK, section 5.5 covers wind measurements in general and section 4 details message type information).

This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record.

This is repository that contains datasets of daily time-series data related to COVID-19 for over 20,000 distinct locations around the world. The data is at the spatial resolution of states/provinces for most regions and at county/municipality resolution for many countries. Outcome data Y(i,t) in the datasets include cases, tests, hospitalizations, deaths and recoveries, for region i and time t. Static covariate data X(i) includes such as population size, health statistics, economic indicators, geographic boundaries. The dynamic covariate data X(i,t) includes mobility, search trends, weather, and government interventions. The data is from multiple sources and is stored in separate tables as CSV files grouped by context.

The Micro-Imaging Dust Analysis System (MIDAS) is an instrument on the ROSETTA Orbiter that will provide 3D images and statistical parameters of pristine cometary particles, collected in the vicinity of comet 67P/Churyumov-Gerasimenko. This data set includes all data from the PRELANDING mission phase. The current release is based on the results of the Comet Science Reviews held in Feb 2016 and Oct 2017 and supersedes version 1.0.

The UK hourly rainfall data contain the rainfall amount (and duration from tilting syphon gauges) during the hour (or hours) ending at the specified time. The data also contains precipitation amounts, however precipitation measured over 24 hours are not stored. Over time a range of rain gauges have been used - see the linked MIDAS User Guide for further details.

This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.

The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSHRLY, DLY3208, SREW and SSER. The data spans from 1915 to 2023.

This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. A large proportion of the UK raingauge observing network (associated with WAHRAIN, WADRAIN and WAMRAIN for hourly, daily and monthly rainfall measurements respectively) is operated by other agencies beyond the Met Office, and are consequently currently excluded from the Midas-open dataset.

The purpose of this dataset is to demonstrate the effect of the COVID-19 pandemic on the usage of Mozilla Firefox. The data is reported as the deviation between the actual usage observed during 2020 and the usage that would have been expected in the absence of the pandemic. The data is publicly accessible and can be downloaded as a CSV or JSON.

From the website:

What is MIDAS?

MIDAS sets out an agreed list of the items or 'units' of information that should be included in an inventory or other systematic record of the historic environment. These units of information are grouped together under broad headings or 'information schemes'. These cover areas such as Monument Character, Events, People and Organisation etc. It is a 'content' standard or 'metadata' standard for historic environment information. Standards for indexing under each 'unit of information' to assist retrieval of information are contained in the INSCRIPTION standard. See the FISH website for further details of INSCRIPTION.

Why is MIDAS important?

A vast body of knowledge and understanding of the historic environment is held in a wide variety of 'inventories', maintained by national bodies of record, local authorities, museums, amenity groups, individual and university based researchers. To make the best use of this store of information, especially where these resources are available on the internet, it is important there is a shared understanding of what information should be recorded. MIDAS sets out that shared understanding, based on the experience of many of the key organisations involved in the collection and dissemination of information about the historic environment.

How has MIDAS developed?

MIDAS developed during 1996-1998 from the work of a committee set up to co-ordinate standards across English national and local inventories. That work is now taken forward under the auspices of FISH, with a view to extending the MIDAS standard to be relevant to other regions in the U.K. and Ireland.

A second edition of MIDAS is now planned. You can find out more about current developments on the MIDAS updates page.

How should MIDAS be used?

MIDAS can be used to plan the content of a new inventory, for example to support a new recording project, or to audit the existing content of an inventory, and identify any useful additional information. MIDAS is designed to be an open standard, that can be applied in a variety of ways to different sorts of inventory records.

Who is MIDAS for?

MIDAS is intended to be used by a wide variety of heritage projects including: * Local societies and amenity groups. * University based research projects or individual studies. * Professional heritage managers. * National thematic study groups.

What is in MIDAS?

MIDAS contains both the standard, and a manual to assist in the application of the standard to a variety of situations, plus worked examples of how the standard can be applied.

The Micro-Imaging Dust Analysis System (MIDAS) is an instrument on the ROSETTA Orbiter that will provide 3D images and statistical parameters of pristine cometary particles, collected in the vicinity of comet 67P/Churyumov-Gerasimenko. This data set includes all data from the COMET ESCORT 4 mission phase.

BackgroundHealthcare data is a rich yet underutilized resource due to its disconnected, heterogeneous nature. A means of connecting healthcare data and integrating it with additional open and social data in a secure way can support the monumental challenge policy-makers face in safely accessing all relevant data to assist in managing the health and wellbeing of all. The goal of this study was to develop a novel health data platform within the MIDAS (Meaningful Integration of Data Analytics and Services) project, that harnesses the potential of latent healthcare data in combination with open and social data to support evidence-based health policy decision-making in a privacy-preserving manner.MethodsThe MIDAS platform was developed in an iterative and collaborative way with close involvement of academia, industry, healthcare staff and policy-makers, to solve tasks including data storage, data harmonization, data analytics and visualizations, and open and social data analytics. The platform has been piloted and tested by health departments in four European countries, each focusing on different region-specific health challenges and related data sources.ResultsA novel health data platform solving the needs of Public Health decision-makers was successfully implemented within the four pilot regions connecting heterogeneous healthcare datasets and open datasets and turning large amounts of previously isolated data into actionable information allowing for evidence-based health policy-making and risk stratification through the application and visualization of advanced analytics.ConclusionsThe MIDAS platform delivers a secure, effective and integrated solution to deal with health data, providing support for health policy decision-making, planning of public health activities and the implementation of the Health in All Policies approach. The platform has proven transferable, sustainable and scalable across policies, data and regions.

This dataset represents a cumulative repository of daily published county-level data. Colorado Department of Public Health and Environment COVID19 County-Level Open Data Repository contains published county-level data and statistics from 3/17/2020 to the most recent date available for the following indicators: 1. Cases of COVID-19 in Colorado by County 2. Case Rates Per 100,000 People in Colorado by County 3. Deaths Among COVID-19 Cases in Colorado by County 4. Deaths Among COVID-19 Cases Rates Per 100,000 People in Colorado by County 5. Total COVID-19 Tests Performed in Colorado by County 6. Total COVID-19 Testing Rate per 100,000 People in Colorado by County Data is accessible to the public and can be downloaded in a CSV file format.

The UK soil temperature data contain daily and hourly values of soil temperatures at depths of 5, 10, 20, 30, 50, and 100 centimetres. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM or DLY3208 messages. The data spans from 1900 to 2023.

This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2023.

At many stations temperatures below the surface are measured at various depths. The depths used today are 5, 10, 20, 30 and 100cm, although measurements are not necessarily made at all these depths at a station and exceptionally measurements may be made at other depths. When imperial units were in general use, typically before 1961, the normal depths of measurement were 4, 8, 12, 24 and 48 inches.

Liquid-in-glass soil thermometers at a depth of 20 cm or less are unsheathed and have a bend in the stem between the bulb and the lowest graduation. At greater depths the thermometer is suspended in a steel tube and has its bulb encased in wax.

This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record.

Replication and simulation reproduction materials for the article "The MIDAS Touch: Accurate and Scalable Missing-Data Imputation with Deep Learning." Please see the README file for a summary of the contents and the Replication Guide for a more detailed description. Article abstract: Principled methods for analyzing missing values, based chiefly on multiple imputation, have become increasingly popular yet can struggle to handle the kinds of large and complex data that are also becoming common. We propose an accurate, fast, and scalable approach to multiple imputation, which we call MIDAS (Multiple Imputation with Denoising Autoencoders). MIDAS employs a class of unsupervised neural networks known as denoising autoencoders, which are designed to reduce dimensionality by corrupting and attempting to reconstruct a subset of data. We repurpose denoising autoencoders for multiple imputation by treating missing values as an additional portion of corrupted data and drawing imputations from a model trained to minimize the reconstruction error on the originally observed portion. Systematic tests on simulated as well as real social science data, together with an applied example involving a large-scale electoral survey, illustrate MIDAS's accuracy and efficiency across a range of settings. We provide open-source software for implementing MIDAS.

URL: https://geoscience.data.qld.gov.au/dataset/cr018334

EPM 5112, MIDAS, FIRST SIX MONTHLY EXPLORATION REPORT

This database includes the raw data linked with the paper “Is early MIDAS reduction at 3 months the best indicator predictor for erenumab treatment continuation? A open-label trial”, published on The Journal of Headache and Pain.

In this paper, we described migraine disability, quantified as a MIgraine Disability ASsessment (MIDAS).

• A moderate to severe disability, MIDAS score  11, is required for prescription.

• Score reduction of at least 50% after the first three months (T3) is mandatory to continue treatment.

• Primary aim of this study:

• - to evaluate whether 50% MIDAS reduction at T3 (MIDASRes) is a reliable response predictor of one-year erenumab treatment (classified as a reduction of baseline MMDs 50%).

• The 50% reduction of monthly migraine days (MMD) at T3 Co-primary outcome

• Secondary outcomes:

• - the search of other predictors represents

• Methods:

• In this prospective, open-label study, 77 CM patients (mean age 49.8±9.5 years, chronicity history 13.1±10.3years, 93.5% of medication overuse headache) were treated with erenumab 70-140mg subcutaneous injections every 28 days for one year (T13). We assessed demographic and headache features, monthly migraine and headache days (MMD and MHDs respectively), days and doses of symptomatic intake. Patients also completed questionnaires evaluating migraine related disability (MIDAS and HIT-6), psychological comorbidities (HADS-A and HADS-D), quality of life (MSQ and 0 to 100 visual analogue scale) and allodynia (ASC-12). ANOVA for repeated measures was performed for quantifying erenumab efficacy and logistic regression model was used for evaluating one-year predictors of response.

• Results:

• Erenumab induced a sustained reduction of MMDs, MHDs and symptomatic intake during treatment. At T13 64.9% of patients presented MMDs baseline reduction 50% (RespondersT13). At T3, 55.8% of patients were MIDASRes. Contextually, 55.4% of patients were MMD Responders, these were also more likely to qualify as RespondersT13 when compared to non-responders (83.3% vs 42.9%; p=0.001). MMD response at T3 also demonstrated to be a predictor of long-term outcome according to a multivariate analysis ((Exp(B)=7.128; p=0.001)). When MIDAS reduction at T3 is considered as decision-making predictor of long-term outcome, 36.0% of patients who may benefit from 1-year erenumab administration are early excluded. By contrast, a lower percentage of Responders T13 (16%) would be discontinued if MIDASRes or MMD responders at T3 were alternatively considered.

The Micro-Imaging Dust Analysis System (MIDAS) is an instrument on the ROSETTA Orbiter that will provide 3D images and statistical parameters of pristine cometary particles, collected in the vicinity of comet 67P/Churyumov-Gerasimenko. This data set includes all images with identified dust particles, that have been collected in the PRELANDING to EXTENDED 3 mission phases. The identified particles are listed in a dedicated catalogue, which is implemented as a CSV table located in the /DATA directory (MID_PARTICLE_TABLE.TAB). Additional information can be found in the ROSETTA-MIDAS Particle Catalogue Document (MID_PARTICLE_CATALOG.PDF). Current dataset superceds V1.0 (RO-C-MIDAS-5-PRL-TO-EXT3-V1.0) dataset after fixing target numbers in browse images and particle catalogue.

OpenFlights contains snapshots of the OpenFlights airport, airline and route databases around the world.

URL: https://geoscience.data.qld.gov.au/dataset/cr021586

EPM 5913, BIG MIDAS, FINAL REPORT FOR PERIOD ENDING 18/5/1990