The MIDAS Online Portal for COVID-19 Modeling Research is a clearinghouse for sharing datasets, published estimates on epidemiological characteristics (both peer-reviewed and non-), and software for dashboard monitoring, data processing, modeling, and visualization related to the 2019 novel coronavirus pandemic (formerly referred to as 2019-nCoV acute respiratory disease). Information in the portal has been selected from reputable scientific sources and from the computational modeling community within MIDAS, the Models of Infectious Disease Agent Study whose coordination center is located at the University of Pittsburgh.

Public-access data collections are shared via the MIDAS Github repository. Peer-reviewed parameter estimates have been compiled separately from non-peer-reviewed parameter estimates, and both are shared via the Github repository. Software is hosted at each creator's own Github repository (or another site) and is not maintained by the MIDAS portal. This is a developing resource and is subject to change. Direct links to all resources are available from the portal linked from this record.

The global weather observation data contain meteorological values observed at 3-hrly intervals by non-UK stations, as reported in SYNOP and METAR codes. The messages contain measurements of the concrete state, wind speed and direction, cloud type and amount, visibility, temperature, sunshine duration, precipitation amount, and present and past weather. The data span from 1974 to present.

Note: from 1st November 2016 the data go from 57 to 58 columns with the introduction of additional quality control checks performed within the MIDAS system and an associated 'version number' column added to the data. See documentation for further details.

The all-versus-all alignment scores for a sludge bioreactor microbiome compared to the Midas database (https://www.midasfieldguide.org/guide). The matches at each alignment score 0.9-1.0 for each microbiome member 16S, compared with the Midas database, are provided in a separate JSON for are more useful application.

Comprehensive dataset containing 1,101 verified Midas locations in United States with complete contact information, ratings, reviews, and location data.

The global marine meteorological observations data contains marine meteorological values, such as wave heights and periods, wind speed and direction, present weather, and air and sea temperature, measured during the hour ending at the stated date and time. The data is collected by worldwide observation stations and transmitted within the following message types: Ship SYNOP, which is also referred to as FM 13-IX SHIP, FM 18-X BUOY, Light Vessel, Marid, Marine logbooks, NAVY, OWS, PLAT/RIG, and VOF. In this dataset the different message types are all described by the SHIP message name. Data are available from 1854 to present.

The data consist of:

Offshore wind (speed and direction) Weather (present, past) Cloud (amount, type, base amount, base height) Pressure (mean sea level) Visibility Temperature (air, dew-point, wetbulb, sea) Relative humidity Wave (direction, period, height) Wind-wave (period, height) Swell (direction, -wave period, height) Ship direction and distance Maximum gust speed and period

The wind speed is given to the nearest knot, direction to the nearest 10 degrees, and the time of the maximum gust is given to the nearest 0.1 hour. The wind direction from which the wind blows, is measured in Degrees (true). The entry for an east wind is 090, for a south wind it is 180 and so on clockwise. Note that zero values in both wind speed and wind direction fields indicate that there was no wind blowing at the time of observation.

The temperature and dew point are given to the nearest 0.1 degree Celsius, the pressure is given to the nearest 0.1 hectopascal, the cloud base height and the visibility are given to the nearest decametre. Cloud amount is reported in oktas.

The past weather is recorded as a number between 0-9 which details what the weather has been like in the last 6 hours for observations at 00, 06, 12, 1800 UTC, the last 3 hours for observations at 03, 09, 15, 2100 UTC and the previous hour at any other times. The past weather is only recorded when a manual observation is done at the station.

Marine reports are defined by position (latitude and longitude) and by time. Duplicates can exist at a specified position and time, e.g. when ships are alongside for bunkering, so the identifier of the ship or buoy is part of the primary key of the entity.

A great many ships do not include a valid call sign in their reports; the call sign may be missing or invalid. When this occurs, Midas will substitute the call sign value “SHIP”.

The UK daily rainfall data describe the rainfall accumulation and precipitation amount over a 24 hour period. The data are collected by observation stations across the UK and transmitted within the following message types: WADRAIN, NCM, AWSDLY, DLY3208, SSER and WAMRAIN. The data spans from 1853 to present.

This dataset contains the predicted prices of the asset Midas mMEV over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

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 2021. 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 version supersedes the previous version (202107) 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 2021, and additional historical data for Colmonell (Ayrshire, 1924-1960), Camps Reservoir (Lanarkshire, 1934-1960), and Greenock (Renfrewshire, 1910-1960).

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.

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Monitoring and describing the spatiotemporal variability of dust aerosols is crucial to understand their multiple effects, related feedbacks and impacts within the Earth system. This study describes the development of the MIDAS (ModIs Dust AeroSol) dataset. MIDAS provides columnar daily dust optical depth (DOD) at 550 nm at global scale and fine spatial resolution (0.1° x 0.1°) over a 15-year period (2003-2017). This new dataset combines quality filtered satellite aerosol optical depth (AOD) retrievals from MODIS-Aqua at swath level (Collection 6.1, Level 2), along with DOD-to-AOD ratios provided by MERRA-2 reanalysis to derive DOD on the MODIS native grid. The uncertainties of MODIS AOD and MERRA-2 dust fraction with respect to AERONET and LIVAS, respectively, are taken into account for the estimation of the total DOD uncertainty. MERRA-2 dust fractions are in very good agreement with those of LIVAS across the “dust belt”, in the Tropical Atlantic Ocean and the Arabian Sea; the agreement degrades in North America and the Southern Hemisphere where dust sources are smaller. MIDAS, MERRA-2 and LIVAS DODs strongly agree when it comes to annual and seasonal spatial patterns, with collocated global DOD averages of 0.033, 0.031 and 0.029, respectively; however, deviations in dust loading are evident and regionally dependent. Overall, MIDAS is well correlated with AERONET-derived DODs (R=0.89), only showing a small positive bias (0.004 or 2.7%). Among the major dust areas of the planet, the highest R values (> 0.9) are found at sites of N. Africa, Middle East and Asia. MIDAS expands, complements and upgrades existing observational capabilities of dust aerosols and it is suitable for dust climatological studies, model evaluation and data assimilation.

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.

Rules for the use of data from the MIDAS database – http://geoportal.pgi.gov.pl/portal/page/portal/midas/zrodlo_danych

The UK daily temperature data describe maximum and minimum temperatures (air, grass and concrete slab) measured over a period of up to 24 hours. The measurements are recorded by observation stations across the UK and transmitted within NCM or DLY3208 or AWSDLY messages. The data span from 1853 to present.

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 2021.

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 2021, and additional historical data for Sheffield (South Yorkshire, 1882-1935).

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.

Open data for publication: [Broad-band strain amplification in an asymmetric fault zone observed from borehole optical fiber and core, Ma et al., 2024]

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This dataset includes official COVID-19 testing data in different 94 countries over time. Testing data collected only included PCR tests and are updated frequently. They provide a time series for the daily number of tests performed, or people tested, together with metadata.

Comprehensive financial and analytical metrics for Midas, including key performance indicators, market data, and ecosystem analytics.

The UK hourly solar radiation data contain the amount of solar irradiance received during the hour ending at the specified time. All sites report 'global' radiation amounts. This is also known as 'total sky radiation' as it includes both direct solar irradiance and 'diffuse' irradiance as a result of light scattering. Some sites also provide separate diffuse and direct irradiation amounts, depending on the instrumentation at the site. For these the sun's path is tracked with two pyrometers - one where the path to the sun is blocked by a suitable disc to allow the scattered sunlight to be measured to give the diffuse measurement, while the other has a tube pointing at the sun to measure direct solar irradiance whilst blanking out scattered sun light.

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: SYNOP, HCM, AWSHRLY, MODLERAD, ESAWRADT and DRADR35 messages. The data spans from 1947 to 2020.

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.