Result List

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                "title": "HadUK-Grid Gridded Climate Observations on a 12km grid over the UK, v1.3.1.ceda (1836-2024)",
                "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 12 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from climate projections. The dataset spans the period from 1836 to 2024, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation). \r\n\r\nThe changes for v1.3.1.ceda HadUK-Grid datasets are as follows:\r\n \r\nChanges to the dataset\r\n* Added data for calendar year 2024\r\n* Extended the daily temperature grids back to 1931\r\n\r\nChanges to the input data\r\n* Incorporated additional daily rainfall data for 60 sites in Scotland, 1922-45\r\n* Incorporated additional monthly rainfall data for two sites - Westonbirt (1880-1951) & Ackworth School (1852-53)\r\n* Fixed a 1-day offset for sunshine duration values for six stations between 1971 and 1993\r\n* Corrected the daily rainfall data for Macclesfield, 1958-60 (the values had been stored in the wrong units)\r\n* Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2024)\r\n* Removed Corpach from the wind speed grids (the station is poorly modelled - this only affects 14 months)\r\n* Reviewed the quality control flags that had been applied automatically to historical air and grass minimum temperature data. In many cases it was possible to remove the flags and this has allowed us to incorporate additional data into the grids for 1961-1997 for these variables.\r\n* Improved the business logic relating to data completeness. This affects monthly wind speed and has allowed us to re-introduce some of the data that were excluded in the previous release.\r\n\r\n* Net changes to the input station data:\r\n - Total of 131314637 observations\r\n - 126821432 (96.6%) unchanged \r\n - 105327 (0.08%) modified for this version\r\n - 4387878 (3.34%) added in this version\r\n - 44224 (0.03%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence."
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            "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.3.1.ceda/river/",
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                "ob_id": 44208,
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                "short_code": "ob",
                "title": "HadUK-Grid Climate Observations by UK river basins, v1.3.1.ceda (1836-2024)",
                "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK river basins consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2024, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.1.ceda HadUK-Grid datasets are as follows:\r\n \r\nChanges to the dataset\r\n* Added data for calendar year 2024\r\n* Extended the daily temperature grids back to 1931\r\n\r\nChanges to the input data\r\n* Incorporated additional daily rainfall data for 60 sites in Scotland, 1922-45\r\n* Incorporated additional monthly rainfall data for two sites - Westonbirt (1880-1951) & Ackworth School (1852-53)\r\n* Fixed a 1-day offset for sunshine duration values for six stations between 1971 and 1993\r\n* Corrected the daily rainfall data for Macclesfield, 1958-60 (the values had been stored in the wrong units)\r\n* Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2024)\r\n* Removed Corpach from the wind speed grids (the station is poorly modelled - this only affects 14 months)\r\n* Reviewed the quality control flags that had been applied automatically to historical air and grass minimum temperature data. In many cases it was possible to remove the flags and this has allowed us to incorporate additional data into the grids for 1961-1997 for these variables.\r\n* Improved the business logic relating to data completeness. This affects monthly wind speed and has allowed us to re-introduce some of the data that were excluded in the previous release.\r\n\r\n* Net changes to the input station data:\r\n - Total of 131314637 observations\r\n - 126821432 (96.6%) unchanged \r\n - 105327 (0.08%) modified for this version\r\n - 4387878 (3.34%) added in this version\r\n - 44224 (0.03%) deleted from this version\r\n \r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence."
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                "ob_id": 44210,
                "uuid": "896792be61a241a88bb668b5adfdb353",
                "short_code": "ob",
                "title": "HadUK-Grid Climate Observations by Administrative Regions over the UK, v1.3.1.ceda (1836-2024)",
                "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK administrative regions consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2023 but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.1.ceda HadUK-Grid datasets are as follows:\r\n\r\nChanges to the dataset\r\n* Added data for calendar year 2024\r\n* Extended the daily temperature grids back to 1931\r\n\r\nChanges to the input data\r\n* Incorporated additional daily rainfall data for 60 sites in Scotland, 1922-45\r\n* Incorporated additional monthly rainfall data for two sites - Westonbirt (1880-1951) & Ackworth School (1852-53)\r\n* Fixed a 1-day offset for sunshine duration values for six stations between 1971 and 1993\r\n* Corrected the daily rainfall data for Macclesfield, 1958-60 (the values had been stored in the wrong units)\r\n* Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2024)\r\n* Removed Corpach from the wind speed grids (the station is poorly modelled - this only affects 14 months)\r\n* Reviewed the quality control flags that had been applied automatically to historical air and grass minimum temperature data. In many cases it was possible to remove the flags and this has allowed us to incorporate additional data into the grids for 1961-1997 for these variables.\r\n* Improved the business logic relating to data completeness. This affects monthly wind speed and has allowed us to re-introduce some of the data that were excluded in the previous release.\r\n\r\n* Net changes to the input station data:\r\n - Total of 131314637 observations\r\n - 126821432 (96.6%) unchanged \r\n - 105327 (0.08%) modified for this version\r\n - 4387878 (3.34%) added in this version\r\n - 44224 (0.03%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence."
            },
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        {
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            "observation": {
                "ob_id": 44209,
                "uuid": "8793782a2bd44122b901501dfc883cf6",
                "short_code": "ob",
                "title": "HadUK-Grid Climate Observations by UK countries, v1.3.1.ceda (1836-2024)",
                "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK countries consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2024, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.1.ceda HadUK-Grid datasets are as follows:\r\n\r\n Changes to the dataset\r\n* Added data for calendar year 2024\r\n* Extended the daily temperature grids back to 1931\r\n\r\nChanges to the input data\r\n* Incorporated additional daily rainfall data for 60 sites in Scotland, 1922-45\r\n* Incorporated additional monthly rainfall data for two sites - Westonbirt (1880-1951) & Ackworth School (1852-53)\r\n* Fixed a 1-day offset for sunshine duration values for six stations between 1971 and 1993\r\n* Corrected the daily rainfall data for Macclesfield, 1958-60 (the values had been stored in the wrong units)\r\n* Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2024)\r\n* Removed Corpach from the wind speed grids (the station is poorly modelled - this only affects 14 months)\r\n* Reviewed the quality control flags that had been applied automatically to historical air and grass minimum temperature data. In many cases it was possible to remove the flags and this has allowed us to incorporate additional data into the grids for 1961-1997 for these variables.\r\n* Improved the business logic relating to data completeness. This affects monthly wind speed and has allowed us to re-introduce some of the data that were excluded in the previous release.\r\n\r\n* Net changes to the input station data:\r\n - Total of 131314637 observations\r\n - 126821432 (96.6%) unchanged \r\n - 105327 (0.08%) modified for this version\r\n - 4387878 (3.34%) added in this version\r\n - 44224 (0.03%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence."
            },
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        {
            "ob_id": 44316,
            "uuid": "6c02ce63bef14c409f47aaa091a71aa8",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/sentinel_ard/products/indices/sentinel_2/ndvi/v2/",
            "numberOfFiles": 60828,
            "volume": 16696178679447,
            "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format.",
            "storageStatus": "online",
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            "observation": {
                "ob_id": 44315,
                "uuid": "ebb1bd2603cc4efc8ce1d745d03932b5",
                "short_code": "ob",
                "title": "JNCC Sentinel-2 indices Analysis Ready Data (ARD) Normalised Difference Vegetation Index (NDVI) v2",
                "abstract": "NDVI is a widely used index that quantifies vegetation greenness and can provide an indication of vegetation health and vegetation density. It is calculated as the ratio between the near-infrared (NIR) and red bands. Positive values generally correspond to vegetation, with higher values reflecting healthy, dense vegetation.\r\n\r\nNDVI = (NIR – RED) / (NIR + RED)\r\n\r\nSentinel-2 NDVI (Defra/JNCC ARD bands) = (B07 – B03) / (B07 + B03)\r\n\r\nEquivalent ESA Sentinel-2 bands: B08, B04\r\n\r\nData are provided in EPSG: 27700 OSGB36 / British National Grid, with a pixel size of 10m, and data is pixel-aligned to the source ARD file. No-data pixels are set to a value of -9999.\r\n\r\nThese data have been created by the Joint Nature Conservation Committee (JNCC) as part of the “Earth observation-based habitat change detection” project. This project is funded by the Department for Environment, Food and Rural Affairs (Defra) as part of the Natural Capital and Ecosystem Assessment (NCEA) programme. The project seeks to facilitate the effective uptake and use of Earth Observation data by producing data and tools for investigating and detecting parcel-level change in habitats and habitat condition. \r\n\r\nThe dataset contains NDVI, NDMI, NDWI, NBR and EVI2 indices derived from Defra and JNCC Sentinel-2 ARD. Index files have been generated for Sentinel-2 granules covering England and Scotland for the period from 2015 to 2025. Note that new unmasked index files (v2) have superseded the previous masked index files (v1). Masked files will no longer be produced. Users can mask the new index files if required using the cloud and topographic shadow masks provided with the ARD, or masks of their choice. \r\n\r\nContains modified Copernicus Sentinel data 2015-2025"
            },
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        {
            "ob_id": 44324,
            "uuid": "3d9c793edbba49feb97f88edf26a7e03",
            "short_code": "result",
            "curationCategory": "C",
            "dataPath": "/badc/ukmo-cet/data/v2.1.0.0/seasonal/",
            "numberOfFiles": 7,
            "volume": 74886,
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                "ob_id": 44323,
                "uuid": "ca43505702fa4eeeba4b65f1ce2c1e6a",
                "short_code": "ob",
                "title": "Seasonal Mean, Minimum and Maximum Central England Temperature (HadCET) series v2.1.0.0",
                "abstract": "The Central England Temperature (HadCET) seasonal series starts in 1659 for mean temperature and 1878 for minimum and maximum temperature.\r\n\r\nThese historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London).\r\n \r\nThe seasonal temperature series are derived as the mean of the monthly temperature series values.\r\n\r\nStations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick\r\n \r\nStations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College\r\n \r\nThe current station selection used is Rothamsted, Stonyhurst and Pershore College.\r\n \r\nThe dataset is compiled by the Met Office Hadley Centre.\r\n\r\nLatest provisional release data are available via the Hadley Centre Observations website (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html).\r\n\r\nThe version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.\r\n\r\nThe CET datasets employ the following version control protocol: \r\n\r\nVersion Vx.y.z.a:\r\n• x – major changes – e.g. change in scientific methodology\r\n• y – minor changes – e.g. small bug fixes or updates to diagnostics pages\r\n• z – incremental changes\r\n• a – reserved for use internally\r\n\r\nThe standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial\r\nchanges have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release).\r\n\r\nThis new version of the datasets supersedes the previous version."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44325,
            "uuid": "14f5a63bf0674a198149778312176459",
            "short_code": "result",
            "curationCategory": "C",
            "dataPath": "/badc/ukmo-cet/data/v2.1.0.0/adjustments/",
            "numberOfFiles": 8,
            "volume": 16063,
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            "observation": {
                "ob_id": 44321,
                "uuid": "2c9baaf3b032435980cdbd1b23038aa1",
                "short_code": "ob",
                "title": "Mean, Minimum and Maximum Central England Temperature (HadCET) series post 1973 static adjustments, v2.1.0.0",
                "abstract": "The Central England Temperature (HadCET) daily mean series is anchored to Gordon Manley’s original temperature record prior to 1973. Between 1848 and 1878, adjustments are applied to account for periods when only a single station was in use.\r\n\r\nThese historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London).\r\n \r\nFrom 1973 onwards, multiple adjustments ensure continuity with Manley’s series, homogenise the current station selection with Manley’s original dataset, and correct for the effects of increasing urbanisation.\r\n \r\nThese static adjustments are calculated on a monthly basis and are applied uniformly to all daily values within each month from 1973 to the present. \r\n \r\nUrbanisation adjustments remain static from November 2004 onward, while adjustments between 1974 and October 2004 are graded to reflect a progressive increase in urbanisation effects over time.\r\n \r\nThis dataset contains the post-Manley extended adjustments, station homogenisation adjustments, and static urban corrections.\r\n\r\nStations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick\r\n \r\nStations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College\r\n \r\nThe current station selection used is Rothamsted, Stonyhurst and Pershore College.\r\n\r\nThe dataset is compiled by the Met Office Hadley Centre.\r\n\r\nLatest provisional release data are available via the Hadley Centre Observations website (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html).\r\n\r\nThe version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.\r\n\r\nThe CET datasets employ the following version control protocol: \r\n\r\nVersion Vx.y.z.a:\r\n• x – major changes – e.g. change in scientific methodology\r\n• y – minor changes – e.g. small bug fixes or updates to diagnostics pages\r\n• z – incremental changes\r\n• a – reserved for use internally\r\n\r\nThe standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial\r\nchanges have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release).\r\n\r\nThis new version of the datasets supersedes the previous version."
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        {
            "ob_id": 44326,
            "uuid": "2cfcef23b67c4e53be2ed8de9e60c896",
            "short_code": "result",
            "curationCategory": "C",
            "dataPath": "/badc/ukmo-cet/data/v2.1.0.0/monthly/",
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            "observation": {
                "ob_id": 44320,
                "uuid": "35fb8318798e437ba5b108e5eca6e92d",
                "short_code": "ob",
                "title": "Monthly Mean, Minimum and Maximum Central England Temperature (HadCET) series v2.1.0.0",
                "abstract": "The Central England Temperature (HadCET) monthly series start in 1659 for mean temperature and 1878 for minimum and maximum temperature.\r\n\r\nThese historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London).\r\n \r\nThe monthly temperature series are derived as the mean of the daily temperature series values.\r\n \r\nFor mean temperature, the monthly values from 1659 to 1771 are derived directly from Gordon Manley's monthly mean values.\r\n\r\nStations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick\r\n \r\nStations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College\r\n \r\nThe current station selection used is Rothamsted, Stonyhurst and Pershore College.\r\n \r\nThe dataset is compiled by the Met Office Hadley Centre.\r\n\r\nLatest provisional release data are available via the Hadley Centre Observations website (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html).\r\n\r\nThe version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.\r\n\r\nThe CET datasets employ the following version control protocol: \r\n\r\nVersion Vx.y.z.a:\r\n• x – major changes – e.g. change in scientific methodology\r\n• y – minor changes – e.g. small bug fixes or updates to diagnostics pages\r\n• z – incremental changes\r\n• a – reserved for use internally\r\n\r\nThe standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial\r\nchanges have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release).\r\n\r\nThis new version of the datasets supersedes the previous version."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44327,
            "uuid": "d4c5a6d1db3e4648a20d0d1a448f3ef6",
            "short_code": "result",
            "curationCategory": "C",
            "dataPath": "/badc/ukmo-cet/data/v2.1.0.0/daily/",
            "numberOfFiles": 4,
            "volume": 3105068,
            "fileFormat": "Data are BADC-CSV formatted",
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            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44322,
                "uuid": "fe998c05ca854715b48bac53dc0e9998",
                "short_code": "ob",
                "title": "Daily Mean, Minimum and Maximum Central England Temperature (HadCET) series v2.1.0.0",
                "abstract": "The Central England Temperature (HadCET) daily series start in 1772 for mean temperature and 1878 for minimum and maximum temperature.\r\n \r\nThese historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London).\r\n \r\nPrior to 1973, the daily mean temperature series is anchored to the mean temperature series constructed by Gordon Manley, with the daily minimum and maximum temperature series adjusted to the mean temperature series to ensure values are consistent.\r\n \r\nAlthough the station selection has changed through time, the series is homogenised and adjusted to ensure consistency with Manley's selection and for periods when only a single station value was used.\r\n \r\nStations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick\r\n \r\nStations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College\r\n \r\nThe current station selection used is Rothamsted, Stonyhurst and Pershore College.\r\n \r\nFor more information on the change in station selection, please refer to the papers supplied with the data collection.\r\n \r\nThe dataset is compiled by the Met Office Hadley Centre.\r\n\r\nLatest provisional release data are available via the Hadley Centre Observations website (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html).\r\n\r\nThe version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.\r\n\r\nThe CET datasets employ the following version control protocol: \r\n\r\nVersion Vx.y.z.a:\r\n• x – major changes – e.g. change in scientific methodology\r\n• y – minor changes – e.g. small bug fixes or updates to diagnostics pages\r\n• z – incremental changes\r\n• a – reserved for use internally\r\n\r\nThe standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial\r\nchanges have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release).\r\n\r\nThis new version of the datasets supersedes the previous version."
            },
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        {
            "ob_id": 44331,
            "uuid": "2ff33ff911dd4756ac9f81ff9c53b824",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/sentinel_ard/products/indices/sentinel_2/nbr/v2/",
            "numberOfFiles": 60829,
            "volume": 16961895534736,
            "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format.",
            "storageStatus": "online",
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            "observation": {
                "ob_id": 44330,
                "uuid": "ebe60d6b1128424aa7caed45a45c585f",
                "short_code": "ob",
                "title": "JNCC Sentinel-2 indices Analysis Ready Data (ARD) Normalised Burn Ratio (NBR) v2",
                "abstract": "NBR enables identification of burned areas and can also provide an indication of burn severity. It is calculated as the ratio between the near-infrared (NIR) and short-wave infrared (SWIR) bands, with lower values indicating burned areas. Burn severity can be assessed by subtracting post-fire NBR from pre-fire NBR.\r\n\r\nNBR = (NIR – SWIR) / (NIR + SWIR)\r\n\r\nSentinel-2 NBR (Defra/JNCC ARD bands) = (B07 - B10) / (B07 + B10)\r\n\r\nEquivalent Sentinel-2 bands: B08, B12\r\n\r\nData are provided in EPSG: 27700 OSGB36 / British National Grid, with a pixel size of 10m, and data is pixel-aligned to the source ARD file. No-data pixels are set to a value of -9999.\r\n\r\nThese data have been created by the Joint Nature Conservation Committee (JNCC) as part of the “Earth observation-based habitat change detection” project. This project is funded by the Department for Environment, Food and Rural Affairs (Defra) as part of the Natural Capital and Ecosystem Assessment (NCEA) programme. The project seeks to facilitate the effective uptake and use of Earth Observation data by producing data and tools for investigating and detecting parcel-level change in habitats and habitat condition. \r\n\r\nThe dataset contains NDVI, NDMI, NDWI, NBR and EVI2 indices derived from Defra and JNCC Sentinel-2 ARD. Index files have been generated for Sentinel-2 granules covering England and Scotland for the period from 2015 to 2025. Note that new unmasked index files (v2) have superseded the previous masked index files (v1). Masked files will no longer be produced. Users can mask the new index files if required using the cloud and topographic shadow masks provided with the ARD, or masks of their choice. \r\n\r\nContains modified Copernicus Sentinel data 2015-2025"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44335,
            "uuid": "5a5a35b82c544d94a885d0343f0d91c4",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/sentinel_ard/products/indices/sentinel_2/ndmi/v2/",
            "numberOfFiles": 60828,
            "volume": 16681688929983,
            "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44334,
                "uuid": "4122d70648354bd9ac7eef525c829d02",
                "short_code": "ob",
                "title": "JNCC Sentinel-2 indices Analysis Ready Data (ARD) Normalised Difference Moisture Index (NDMI) v2",
                "abstract": "NDMI can be used to assess vegetation moisture content, and is calculated as the ratio between the near-infrared (NIR) and short-wave infrared (SWIR) bands. It is commonly used to assess water stress in plants. Positive values tend to correspond to vegetated surfaces, with the value increasing towards 1 as moisture content and vegetation density increase.\r\n\r\nNDMI = (NIR – SWIR) / (NIR + SWIR)\r\n\r\nSentinel-2 NDMI (Defra/JNCC ARD bands) = (B07 – B09) / (B07 + B09)\r\n\r\nEquivalent ESA Sentinel-2 bands: B08, B11\r\n\r\nData are provided in EPSG: 27700 OSGB36 / British National Grid, with a pixel size of 10m, and data is pixel-aligned to the source ARD file. No-data pixels are set to a value of -9999.\r\n\r\nThese data have been created by the Joint Nature Conservation Committee (JNCC) as part of the “Earth observation-based habitat change detection” project. This project is funded by the Department for Environment, Food and Rural Affairs (Defra) as part of the Natural Capital and Ecosystem Assessment (NCEA) programme. The project seeks to facilitate the effective uptake and use of Earth Observation data by producing data and tools for investigating and detecting parcel-level change in habitats and habitat condition. \r\n\r\nThe dataset contains NDVI, NDMI, NDWI, NBR and EVI2 indices derived from Defra and JNCC Sentinel-2 ARD. Index files have been generated for Sentinel-2 granules covering England and Scotland for the period from 2015 to 2025. Note that new unmasked index files (v2) have superseded the previous masked index files (v1). Masked files will no longer be produced. Users can mask the new index files if required using the cloud and topographic shadow masks provided with the ARD, or masks of their choice. \r\n\r\nContains modified Copernicus Sentinel data 2015-2025"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44339,
            "uuid": "8b2010147af84a10a05bad746f45cd0d",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/sentinel_ard/products/indices/sentinel_2/ndwi/v2/",
            "numberOfFiles": 60828,
            "volume": 16204585278099,
            "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44338,
                "uuid": "9ae429e3026f4903a338f6baa0a11035",
                "short_code": "ob",
                "title": "JNCC Sentinel-2 indices Analysis Ready Data (ARD) Normalised Difference Water Index (NDWI) v2",
                "abstract": "NDWI is used to identify water bodies and detect changes in their extent. It is calculated as the ratio of the green and near-infrared (NIR) bands.  Positive index values generally indicate the presence of water, with higher values corresponding to water bodies.\r\n\r\nNDWI = (GREEN – NIR) / (GREEN + NIR)\r\n\r\nSentinel-2 NDWI (Defra/JNCC ARD bands) = (B02 – B07) / (B02 + B07)\r\n\r\nEquivalent ESA Sentinel-2 bands: B03, B08\r\n\r\nData are provided in EPSG: 27700 OSGB36 / British National Grid, with a pixel size of 10m, and data is pixel-aligned to the source ARD file. No-data pixels are set to a value of -9999.\r\n\r\nThese data have been created by the Joint Nature Conservation Committee (JNCC) as part of the “Earth observation-based habitat change detection” project. This project is funded by the Department for Environment, Food and Rural Affairs (Defra) as part of the Natural Capital and Ecosystem Assessment (NCEA) programme. The project seeks to facilitate the effective uptake and use of Earth Observation data by producing data and tools for investigating and detecting parcel-level change in habitats and habitat condition. \r\n\r\nThe dataset contains NDVI, NDMI, NDWI, NBR and EVI2 indices derived from Defra and JNCC Sentinel-2 ARD. Index files have been generated for Sentinel-2 granules covering England and Scotland for the period from 2015 to 2025. Note that new unmasked index files (v2) have superseded the previous masked index files (v1). Masked files will no longer be produced. Users can mask the new index files if required using the cloud and topographic shadow masks provided with the ARD, or masks of their choice. \r\n\r\nContains modified Copernicus Sentinel data 2015-2025"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44342,
            "uuid": "75ca56fb609043f9876254a14f802f32",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/bodc/deposits02/uso250859",
            "numberOfFiles": 435,
            "volume": 68248058190,
            "fileFormat": ".segy, .jpg, .txt",
            "storageStatus": "online",
            "storageLocation": "internal",
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            "observation": {
                "ob_id": 44343,
                "uuid": "382aa4c3c6b2417fa80261e124a5f116",
                "short_code": "ob",
                "title": "3D ocean bottom node seismic data across the 13°30'N Oceanic Core Complex and the Semenov Hydrothermal Field region of the Mid-Atlantic Ridge (JC254, 2023).",
                "abstract": "The dataset contains 3D wide-angle seismic data from 18 ocean bottom nodes (OBXs) collected during RRS James Cook cruise JC254 in November 2023. The data were acquired at the 1330 Oceanic Core Complex (OCC) and the Semenov Hydrothermal Field region of the Mid-Atlantic Ridge at 13°30'N, and were shot in six sequences (SEM4A to SEM4F), along 15 profiles in total. Two GI-guns were used as seismic sources, each with a total volume of 355 cubic inches (250 cu. inch generator, 105 cu. inch injector chamber. The data were recorded at a sampling rate of 2000 Hz, with a shot interval of 20 s at a ship speed of 4 knots, resulting in shot interval of ~30 m, with no stop during profile turns. The data are provided in raw SEGY format, cut into four components (three geophone channels and one hydrophone channel). This dataset was collected to derive a seismic velocity structure of the 13°30'N OCC. The aim was to investigate the crustal or mantle lithologies in the 13°30'N OCC and to understand the interplay between tectonic faulting, magmatism, alteration and hydrothermal circulation at the ultramafic-hosted hydrothermal systems along slow-spreading ridges. The data were collected as part of a NERC-funded strategic research project called 'Ultramafic-hosted mineral Resource Assessment (ULTRA)', grant reference NE/S004068/1. The data were processed and interpreted as part of a PhD studentship hosted by the University of Southampton, awarded to Szu-Ying Lai, and funded by Equinor A.S, Norway."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44344,
            "uuid": "685d4e06eaa748feb0ad950bd0a164da",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/tls/data/raw/uk/WHY/multitrophic_wytham",
            "numberOfFiles": 6909,
            "volume": 215835327818,
            "fileFormat": "Point cloud data in RIEGL proprietry .rxp format, image data in .jpg format and matrix data in text file.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44345,
                "uuid": "f61458fc1bfa4d3982b34b702eb96689",
                "short_code": "ob",
                "title": "Terrestrial LiDAR data for the multi-trophic impact of ash dieback project, Wytham Woods, July 2020 - July 2022",
                "abstract": "This dataset is comprised of raw data and rotation matrices captured with the NERC-funded Terrestrial Laser Scanner (TLS) instrument. Data was collected across 15 plots in Wytham Woods, UK, in leaf-on and -off conditions for 3 years. For 5 of the plots all ash trees were girdled to simulate death by the fungal pathogen Hymenoscyphus fraxineus ('ash dieback'), 5 of the plots were 'ash-control' where the dominant species were Fraxinus excelsior and the remaining 5 plots were non-ash dominant.\r\n\r\nTLS data was acquired on the four edges of the plot and the plot centre. For the summer 2020 and winter 2021 acquisitions the scanner was mounted on a pneumatic mast to capture data from different heights (2 m, 4 m, and 6 m), from summer 2021 onwards the scanner was mounted at a height of 2 m. The scanner was set to an angular step of 0.04 degrees.  In between each scan position a set of retro-reflective targets were positioned to be used as tie-points between scans. Scan data was coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the \"matrix\" directory, all acquistions for the same plot were registered to the same coordinate system. For more information on TLS acquisition for this project see Wilkes et al. (2021) and more generally refer to Wilkes et al. (2017) which can be found in the documentation section."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44354,
            "uuid": "cd4152f28b314ea79b6214e8cf9cdf14",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/deposited2025/Methane_Clumped_Isotopologues_Data_Base_2025/",
            "numberOfFiles": 4,
            "volume": 638567,
            "fileFormat": "BADC-CSV",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44353,
                "uuid": "51ae627da5fb41b8a767ee6c653f83e6",
                "short_code": "ob",
                "title": "Methane doubly substituted (clumped) isotopologues database",
                "abstract": "The database was made as a part of POLYGRAM project (NE/V007149/1). The database aims to summarise the state of double substituted methane isotopologues (know also as clumped isotopologues, Δ13CH3D and Δ12CH2D2) measurement research, with an emphasis on compiling results of all relevant work and aid development of the inputs to atmospheric modelling studies. The complied database comprises 1475 data records from 75 peer-reviewed articles. Database includes both field samples and laboratory experiments from numerous laboratories worldwide.\r\n\r\nThis database is made freely available to the scientific community. The database has a Digital Object Identifier (DOI). We rely on the ethics and integrity of the user to assure that the authors receive fair credit for their work. Users must include the citation of individual publication and following database citation in any publication or presentation using the product."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44358,
            "uuid": "4c06b604c2624992b02e656a09a7f2d6",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/ncas-cvao/data/ncas-sonic-6/20241127_longterm/v1.0",
            "numberOfFiles": 61,
            "volume": 96199869,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": null,
            "onlineresource_set": []
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        {
            "ob_id": 44361,
            "uuid": "59f6d2bbf63244fea560832e7fd5ec60",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/ncas-cvao/data/ncas-sonic-6/20241127_longterm/v1.1",
            "numberOfFiles": 188,
            "volume": 709591240,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": null,
            "onlineresource_set": []
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        {
            "ob_id": 44366,
            "uuid": "b2b14daceace4ce59ab03f86a03d70ff",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/ncas-cvao/data/ncas-sonic-6/20241127_longterm/v1.0",
            "numberOfFiles": 61,
            "volume": 96199869,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": null,
            "onlineresource_set": []
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        {
            "ob_id": 44369,
            "uuid": "c4fe05bb4eb345e8ac3bb085d49be7d6",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/ncas-cvao/data/ncas-sonic-6/20241127_longterm/v1.1",
            "numberOfFiles": 188,
            "volume": 709591240,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": null,
            "onlineresource_set": []
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        {
            "ob_id": 44372,
            "uuid": "7cb90b4697d74f85a9c1e3db8468d68f",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/ncas-cvao/data/ncas-sonic-6/20241127_longterm/v1.0",
            "numberOfFiles": 62,
            "volume": 96204383,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44371,
                "uuid": "2b8c014e54be42968b620bf5a9526a12",
                "short_code": "ob",
                "title": "NCAS Long Term Observations: mean winds from the NCAS Sonic Anemometer unit 6 deployed at the NCAS Cape Verde Atmospheric Observatory, v1.0",
                "abstract": "Mean wind measurements from the NCAS Sonic Anemometer unit 6 deployed at the NCAS Cape Verde Atmospheric Observatory. These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations.\r\n\r\nData products from this deployment include: mean-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44375,
            "uuid": "98a2197046d54db2a2b30c3db6400e67",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/ncas-cvao/data/ncas-sonic-6/20241127_longterm/v1.1",
            "numberOfFiles": 443,
            "volume": 1915489968,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44374,
                "uuid": "df467c5bd78642e8b0643fc40dd8f7f5",
                "short_code": "ob",
                "title": "NCAS Long Term Observations: mean winds from the NCAS Sonic Anemometer unit 6 deployed at the NCAS Cape Verde Atmospheric Observatory, v1.1",
                "abstract": "Mean wind measurements from the NCAS Sonic Anemometer unit 6 deployed at the NCAS Cape Verde Atmospheric Observatory. These observations were taken as part of the National Centre for Atmospheric Science (NCAS) long term observations.\r\n\r\nData products from this deployment include: mean-winds\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44378,
            "uuid": "63154c27822140d8832b277d3d165ad4",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/badc/deposited2025/SynthHAPPE_v2",
            "numberOfFiles": 421,
            "volume": 2590726586,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44377,
                "uuid": "fe877f3035c042478fd67de21f5f445a",
                "short_code": "ob",
                "title": "Synthetic Hourly Air Pollution Prediction Averages for England (SynthHAPPE) version 2",
                "abstract": "This dataset contains synthetic estimates of ambient air pollution concentrations across England, provided as hourly averages representing typical conditions. The data cover major pollutants, including Nitrogen Dioxide (NO2), Nitric Oxide (NO), Nitrogen Oxides (NOx), Ozone (O3), Particulate Matter smaller than 10 micrometres (PM10) and smaller than 2.5 micrometres (PM2.5), and Sulphur Dioxide (SO2). Each pollutant's concentrations are predicted not only as average (mean) values but also include estimates at lower (5th percentile), median (50th percentile), and upper (95th percentile) levels to highlight typical and potential extreme pollution scenarios.\r\n\r\nThe spatial coverage of the dataset includes the entire area of England, structured as an evenly spaced grid, with each grid square covering an area of 1 square kilometre (1 km^2). Data points correspond to the centre of these grid squares. Temporally, the dataset does not represent actual hourly measurements from specific dates; instead, it provides aggregated \"typical day\" profiles constructed by averaging observations collected from multiple years (2014-2018) for each month, weekday, and hour. This method offers representative insights into typical air pollution patterns, avoiding the complexity of handling large-scale raw datasets.\r\n\r\nThese pollution estimates were produced using a supervised machine learning method, which is a computational approach where algorithms are trained to identify patterns in historical data and apply these learned patterns to predict new data points. The predictions incorporated various environmental factors including weather conditions (e.g., temperature, wind, precipitation), human activities (traffic patterns), satellite measurements, land-use types (urban, rural, industrial areas), and emission inventories (datasets detailing pollutants released into the atmosphere). Additionally, the dataset provides uncertainty intervals through percentile-based estimates, giving users insights into the reliability of the predictions.\r\n\r\nThe dataset was developed to facilitate easier access to high-quality air pollution information for diverse stakeholders, such as researchers, policymakers, urban planners, and health professionals. By providing clear, simplified air quality scenarios, it helps users make informed decisions in urban planning, public health, environmental management, and policy development, as well as to assess potential impacts and interventions related to air pollution.\r\n\r\nThe dataset was created by Liam J. Berrisford at the University of Exeter during his PhD studies, supported by the UK Research and Innovation (UKRI) Centre for Doctoral Training in Environmental Intelligence. Full methodological details and data validation information are available in the associated open-access scientific publication. For more information about the data, see the README.md archived alongside this dataset.\r\n\r\nIn terms of completeness, this dataset intentionally provides representative hourly pollution estimates rather than exact historical measurements or specific pollution events. While it extensively covers typical pollution scenarios across England, direct measurements from specific air quality monitoring stations are not included. Users requiring detailed historical observations or data about specific events should refer to original monitoring station datasets."
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                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the E3SM-Project team E3SM-1-1-ECA model output for the \"biogeochemically-coupled version of the simulation of the recent past with CO2 concentration prescribed\" (hist-bgc) experiment. These are available at the following frequencies: Amon, Lmon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the E3SM-Project team team consisted of the following agencies: Lawrence Livermore National Laboratory (NCAR LLNL), Argonne National Laboratory (ANL), Brookhaven National Laboratory (BNL), Los Alamos National Laboratory (LANL), Lawrence Berkeley National Laboratory (LBNL), Oak Ridge National Laboratory (ORNL), Pacific Northwest National Laboratory (PNNL) and Sandia National Laboratories (SNL)."
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                "title": "WCRP CMIP6: the E3SM-Project team E3SM-1-1-ECA model output for the \"ssp585-bgc\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the E3SM-Project team E3SM-1-1-ECA model output for the \"biogeochemically-coupled version of the RCP8.5 based on SSP5\" (ssp585-bgc) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Lmon, Ofx, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the E3SM-Project team team consisted of the following agencies: Lawrence Livermore National Laboratory (NCAR LLNL), Argonne National Laboratory (ANL), Brookhaven National Laboratory (BNL), Los Alamos National Laboratory (LANL), Lawrence Berkeley National Laboratory (LBNL), Oak Ridge National Laboratory (ORNL), Pacific Northwest National Laboratory (PNNL) and Sandia National Laboratories (SNL)."
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                "short_code": "ob",
                "title": "WCRP CMIP6: the E3SM-Project team E3SM-1-1 model output for the \"hist-bgc\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the E3SM-Project team E3SM-1-1 model output for the \"biogeochemically-coupled version of the simulation of the recent past with CO2 concentration prescribed\" (hist-bgc) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the E3SM-Project team team consisted of the following agencies: Lawrence Livermore National Laboratory (NCAR LLNL), Argonne National Laboratory (ANL), Brookhaven National Laboratory (BNL), Los Alamos National Laboratory (LANL), Lawrence Berkeley National Laboratory (LBNL), Oak Ridge National Laboratory (ORNL), Pacific Northwest National Laboratory (PNNL) and Sandia National Laboratories (SNL)."
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                "short_code": "ob",
                "title": "WCRP CMIP6: the E3SM-Project team E3SM-1-1 model output for the \"ssp585-bgc\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the E3SM-Project team E3SM-1-1 model output for the \"biogeochemically-coupled version of the RCP8.5 based on SSP5\" (ssp585-bgc) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Lmon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.\n\nThe the E3SM-Project team team consisted of the following agencies: Lawrence Livermore National Laboratory (NCAR LLNL), Argonne National Laboratory (ANL), Brookhaven National Laboratory (BNL), Los Alamos National Laboratory (LANL), Lawrence Berkeley National Laboratory (LBNL), Oak Ridge National Laboratory (ORNL), Pacific Northwest National Laboratory (PNNL) and Sandia National Laboratories (SNL)."
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                "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"1pctCO2-bgc\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"biogeochemically-coupled version of 1 percent per year increasing CO2 experiment\" (1pctCO2-bgc) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, EmonZ, LImon, Lmon and Omon. The runs included the ensemble member: r101i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
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                "short_code": "ob",
                "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G-CC model output for the \"esm-ssp585\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G-CC model output for the \"emission-driven RCP8.5 based on SSP5\" (esm-ssp585) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, EmonZ, LImon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
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            "observation": {
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                "short_code": "ob",
                "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G-CC model output for the \"ssp585-bgc\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G-CC model output for the \"biogeochemically-coupled version of the RCP8.5 based on SSP5\" (ssp585-bgc) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, EmonZ, LImon, Lmon, Omon and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
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                "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"esm-1pct-brch-1000PgC\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"zero emissions simulation branched from 1% run after 1000 PgC cumulative emission\" (esm-1pct-brch-1000PgC) experiment. These are available at the following frequencies: Emon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
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                "short_code": "ob",
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                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"emission-driven RCP8.5 based on SSP5\" (esm-ssp585) experiment. These are available at the following frequencies: Amon, Emon, LImon, Lmon, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
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                "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"1pctCO2-cdr\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"1 percent per year decrease in CO2 from 4xCO2\" (1pctCO2-cdr) experiment. These are available at the following frequencies: Amon, Emon, Eyr, LImon, Lmon, Omon, Oyr and SImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
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                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"pulse removal of 100 Gt carbon from pre-industrial atmosphere\" (esm-pi-cdr-pulse) experiment. These are available at the following frequencies: Amon, Emon, Eyr, LImon, Lmon, Omon, Oyr and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
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                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"pulse addition of 100 Gt carbon to pre-industrial atmosphere\" (esm-pi-CO2pulse) experiment. These are available at the following frequencies: Amon, Emon, Eyr, LImon, Lmon, Omon and Oyr. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
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                "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM2M model output for the \"faf-heat-NA0pct\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM2M model output for the \"control plus perturbative surface flux of heat into ocean\" (faf-heat-NA0pct) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
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                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM2M model output for the \"control plus perturbative surface flux of heat into ocean\" (faf-heat-NA50pct) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
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                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"AMIP-style simulation covering the period 1870-2014\" (amip-hist) experiment. These are available at the following frequencies: Amon, Emon, Lmon, day and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
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                "short_code": "ob",
                "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"amip-hist\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4 model output for the \"AMIP-style simulation covering the period 1870-2014\" (amip-hist) experiment. These are available at the following frequencies: Amon and LImon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
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                "short_code": "ob",
                "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"esm-ssp585-ssp126Lu\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"emissions-driven SSP5-8.5 with SSP1-2.6 land use\" (esm-ssp585-ssp126Lu) experiment. These are available at the following frequencies: Amon, Omon, SImon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
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            "onlineresource_set": []
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                "short_code": "ob",
                "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"hist-noLu\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"historical with no land-use change\" (hist-noLu) experiment. These are available at the following frequencies: Amon, Emon, Eyr, LImon, Lmon, Omon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
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            "onlineresource_set": []
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            "short_code": "result",
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                "uuid": "6871cd2fe4e84fbbb4de728824a53a07",
                "short_code": "ob",
                "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"land-hist\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"historical land-only\" (land-hist) experiment. These are available at the following frequencies: LImon, Lmon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
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                "ob_id": 44442,
                "uuid": "c2024978a010477d8de8cc5d8bfbbc29",
                "short_code": "ob",
                "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"land-hist-altStartYear\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"historical land-only alternate start year\" (land-hist-altStartYear) experiment. These are available at the following frequencies: LImon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
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        {
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            "short_code": "result",
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                "ob_id": 44445,
                "uuid": "5a67af9ee2c74da2a5bc4fce3bf1bbca",
                "short_code": "ob",
                "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"land-noLu\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"historical land-only with no land-use change\" (land-noLu) experiment. These are available at the following frequencies: Emon, LImon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
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        {
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            "uuid": "7a69dad2fb444850a1feb77df0230e80",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/LUMIP/NOAA-GFDL/GFDL-ESM4/ssp126-ssp370Lu",
            "numberOfFiles": 54,
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            "observation": {
                "ob_id": 44448,
                "uuid": "b3e63758707c465bb31f2990b4aff9ed",
                "short_code": "ob",
                "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"ssp126-ssp370Lu\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"SSP1-2.6 with SSP3-7.0 land use\" (ssp126-ssp370Lu) experiment. These are available at the following frequencies: Amon, Emon, Eyr, LImon, Lmon, Omon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
        },
        {
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            "short_code": "result",
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            "numberOfFiles": 67,
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            "oldDataPath": [],
            "observation": {
                "ob_id": 44451,
                "uuid": "270f0c68c9764c2489ef84f3cb482a38",
                "short_code": "ob",
                "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"ssp370-ssp126Lu\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-ESM4 model output for the \"SSP3-7.0 with SSP1-2.6 land use\" (ssp370-ssp126Lu) experiment. These are available at the following frequencies: Amon, Emon, Eyr, Lmon and day. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
        },
        {
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            "uuid": "a2d60f3efe574cbeae72c36a91a6de87",
            "short_code": "result",
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            "observation": {
                "ob_id": 44454,
                "uuid": "32db1a4f28a54b4eb5022695ad92f6e7",
                "short_code": "ob",
                "title": "WCRP CMIP6: Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"past1000\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Commonwealth Scientific and Industrial Research Organisation (CSIRO) ACCESS-ESM1-5 model output for the \"last millennium\" (past1000) experiment. These are available at the following frequencies: Amon, Lmon, Omon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
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        {
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            "short_code": "result",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 44457,
                "uuid": "30922c00a312448784eff429e2b2f408",
                "short_code": "ob",
                "title": "WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"past1000\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the \"last millennium\" (past1000) experiment. These are available at the following frequencies: AERmon, Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
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        {
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            "short_code": "result",
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            "dataPath": "/badc/cmip6/data/CMIP6/PMIP/MPI-M/MPI-ESM1-2-LR/past2k",
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            "fileFormat": "Data are netCDF formatted.",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 44460,
                "uuid": "2487833eb4b544f3a12d28dabdbd0053",
                "short_code": "ob",
                "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"past2k\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-LR model output for the \"last two millennia experiment\" (past2k) experiment. These are available at the following frequencies: AERmon, Amon, Lmon, Omon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
        },
        {
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            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/PMIP/MRI/MRI-ESM2-0/past1000",
            "numberOfFiles": 558,
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            "fileFormat": "Data are netCDF formatted.",
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            "observation": {
                "ob_id": 44463,
                "uuid": "06c2e37b1dd54c4ca6122a4664e5f608",
                "short_code": "ob",
                "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"past1000\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Meteorological Research Institute of the Japan Meteorological Agency (MRI/JMA) MRI-ESM2-0 model output for the \"last millennium\" (past1000) experiment. These are available at the following frequencies: AERmon, Amon, Omon, SImon and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
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        {
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            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cmip6/data/CMIP6/VolMIP/NASA-GISS/GISS-E2-1-G/volc-pinatubo-full",
            "numberOfFiles": 19849,
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            "fileFormat": "Data are netCDF formatted.",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 44468,
                "uuid": "5aefbf44030748e3816677c74f6ee062",
                "short_code": "ob",
                "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"volc-pinatubo-full\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-1-G model output for the \"Pinatubo experiment\" (volc-pinatubo-full) experiment. These are available at the following frequencies: AERmon, Amon, CFmon, Emon, EmonZ, LImon, Lmon, Omon and SImon. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r16i1p1f1, r17i1p1f1, r18i1p1f1, r19i1p1f1, r1i10p1f1, r1i1p1f1, r1i2p1f1, r1i3p1f1, r1i4p1f1, r1i5p1f1, r1i6p1f1, r1i7p1f1, r1i8p1f1, r1i9p1f1, r20i1p1f1, r21i1p1f1, r22i1p1f1, r23i1p1f1, r24i1p1f1, r25i1p1f1, r26i1p1f1, r27i1p1f1, r28i1p1f1, r29i1p1f1, r2i10p1f1, r2i1p1f1, r2i2p1f1, r2i3p1f1, r2i4p1f1, r2i5p1f1, r2i6p1f1, r2i7p1f1, r2i8p1f1, r2i9p1f1, r30i1p1f1, r31i1p1f1, r32i1p1f1, r33i1p1f1, r34i1p1f1, r35i1p1f1, r36i1p1f1, r37i1p1f1, r38i1p1f1, r39i1p1f1, r3i10p1f1, r3i1p1f1, r3i2p1f1, r3i3p1f1, r3i4p1f1, r3i5p1f1, r3i6p1f1, r3i7p1f1, r3i8p1f1, r3i9p1f1, r40i1p1f1, r4i10p1f1, r4i1p1f1, r4i2p1f1, r4i3p1f1, r4i4p1f1, r4i5p1f1, r4i6p1f1, r4i7p1f1, r4i8p1f1, r4i9p1f1, r5i10p1f1, r5i1p1f1, r5i2p1f1, r5i3p1f1, r5i4p1f1, r5i5p1f1, r5i6p1f1, r5i7p1f1, r5i8p1f1, r5i9p1f1, r6i10p1f1, r6i1p1f1, r6i2p1f1, r6i3p1f1, r6i4p1f1, r6i5p1f1, r6i6p1f1, r6i7p1f1, r6i8p1f1, r6i9p1f1, r7i10p1f1, r7i1p1f1, r7i2p1f1, r7i3p1f1, r7i4p1f1, r7i5p1f1, r7i6p1f1, r7i7p1f1, r7i8p1f1, r7i9p1f1, r8i10p1f1, r8i1p1f1, r8i2p1f1, r8i3p1f1, r8i4p1f1, r8i5p1f1, r8i6p1f1, r8i7p1f1, r8i8p1f1, r8i9p1f1, r9i10p1f1, r9i1p1f1, r9i2p1f1, r9i3p1f1, r9i4p1f1, r9i5p1f1, r9i6p1f1, r9i7p1f1, r9i8p1f1 and r9i9p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            },
            "onlineresource_set": []
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        {
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            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/eocis/data/CHUK/land_vegetation_parameters/",
            "numberOfFiles": 1945,
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            "observation": {
                "ob_id": 43381,
                "uuid": "da96a0e3306d44a398126403e5d3a654",
                "short_code": "ob",
                "title": "EOCIS: Land Vegetation Parameters, V1",
                "abstract": "This dataset contains Land Vegetation Parameter data produced within the Earth Observation Climate Information Service (EOCIS) project. Two vegetation variables corresponding to the leaf area index (LAI) and the fraction of absorbed photosynthetically active radiation (fAPAR) are produced with associated quality control maps (QC) for the United Kingdom at 20m and 100m resolutions on both a 15 day and a monthly basis from April 2018 to December 2024. These data were produced by the LEAF toolbox (see documentation) from data acquired from the Multispectral Imager (MSI) on Sentinel-2. Gap-filled data are available for 100m spatial resolution at a 15-day temporal resolution.\r\n\r\nThe products can be mainly used for environmental monitoring and modelling. In particular, the produced data are suitable for 1) monitoring the spatial and temporal variability of the vegetation cover; including forests and crops, 2) parameterization, calibration, updating and validation of crop growth models commonly used for simulating the crop growth and predicting yield at field and regional scales, and 3) investigating the main patterns for future plans by decision makers."
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                "ob_id": 41553,
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                "short_code": "ob",
                "title": "Sea Surface Skin Temperature from SISTeR: QM2 Cruise 24, v2.5",
                "abstract": "Sea Surface Skin Temperature data from the SISTeR instrument (Scanning Infrared Sea surface Temperature Radiometer). This dataset contains SST data of the Mediterranean Sea, the North Sea, and the Atlantic Ocean measured by SISTeR on-board RMS Queen Mary 2 (QM2) between 15 July 2022 and 14 October 2022.\r\n\r\nThese data may be used freely, however we request they are not used as inputs to assimilated SST products, as the primary purpose of these data is for validation of such products."
            },
            "onlineresource_set": []
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        {
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                "short_code": "ob",
                "title": "Sea Surface Skin Temperature from SISTeR: QM2 Cruise 25, v2.5",
                "abstract": "Sea Surface Skin Temperature data from the SISTeR instrument (Scanning Infrared Sea surface Temperature Radiometer). This dataset contains SST data of the Mediterranean Sea and the Indian Ocean measured by SISTeR on-board RMS Queen Mary 2 (QM2) between 11 January 2023 and 10 February 2023.\r\n\r\nThese data may be used freely, however we request they are not used as inputs to assimilated SST products, as the primary purpose of these data is for validation of such products."
            },
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                "uuid": "381e95004e0c44499b1d3e00b19aaaaf",
                "short_code": "ob",
                "title": "Sea Surface Skin Temperature from SISTeR: QM2 Cruise 29, v2.5",
                "abstract": "Sea Surface Skin Temperature data from the SISTeR instrument (Scanning Infrared Sea surface Temperature Radiometer). This dataset contains SST data of the North Sea, the north Atlantic and the Caribbean measured by SISTeR on-board RMS Queen Mary 2 (QM2) between 17 October 2024 and 11 January 2025.\r\n\r\nThese data may be used freely, however we request they are not used as inputs to assimilated SST products, as the primary purpose of these data is for validation of such products."
            },
            "onlineresource_set": []
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        {
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            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/ral_ship_sst/data/QM2/Cruise28/fv2.5/",
            "numberOfFiles": 202,
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            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43432,
                "uuid": "8234e536542141259e0ec632d45df496",
                "short_code": "ob",
                "title": "Sea Surface Skin Temperature from SISTeR: QM2 Cruise 28, v2.5",
                "abstract": "Sea Surface Skin Temperature data from the SISTeR instrument (Scanning Infrared Sea surface Temperature Radiometer). This dataset contains SST data of the north Atlantic and the North Sea measured by SISTeR on-board RMS Queen Mary 2 (QM2) between 16 May 2024 and 30 August 2024.\r\n\r\nThese data may be used freely, however we request they are not used as inputs to assimilated SST products, as the primary purpose of these data is for validation of such products."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44502,
            "uuid": "7c32b4660bba42f5b66e3407fe9f352e",
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            "curationCategory": "",
            "dataPath": "/neodc/ral_ship_sst/data/QM2/Cruise27/fv2.5/",
            "numberOfFiles": 194,
            "volume": 748727327,
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            "storageStatus": "online",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 43431,
                "uuid": "27fee373d42b4dada1aeb10bc729c98f",
                "short_code": "ob",
                "title": "Sea Surface Skin Temperature from SISTeR: QM2 Cruise 27, v2.5",
                "abstract": "Sea Surface Skin Temperature data from the SISTeR instrument (Scanning Infrared Sea surface Temperature Radiometer). This dataset contains SST data of the east Atlantic, Indian Ocean, west Pacific and Australia measured by SISTeR on-board RMS Queen Mary 2 (QM2) between 11 January 2024 and 28 April 2024.\r\n\r\nThese data may be used freely, however we request they are not used as inputs to assimilated SST products, as the primary purpose of these data is for validation of such products."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44507,
            "uuid": "f239f64778404c62b1f4610b68709f64",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/eocis/data/global_and_regional/CO_total_column",
            "numberOfFiles": 4189,
            "volume": 3440132141632,
            "fileFormat": "Files are NetCDF formatted.",
            "storageStatus": "online",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 43671,
                "uuid": "4b31d47716604b9f84714fab39ce973c",
                "short_code": "ob",
                "title": "EOCIS: Total Column CO Product, V1.0",
                "abstract": "This dataset contains the Total Column Carbon Monoxide (CO) data produced within the Earth Observation Climate Information Service (EOCIS) project.  The CO_ULIRS product is derived from measurements made by the Infrared Atmospheric Sounding Interferometer (IASI) onboard the MetOp satellite series. CO_ULIRS uses an optimal estimation approach to derive carbon monoxide total column amounts from IASI spectra using the University of Leicester IASI Retrieval Scheme (ULIRS)."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44509,
            "uuid": "b5ca5ac0e9834388aedb90ccb9a8a17f",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/eocis/data/global_and_regional/soil_moisture_africa/v2.3.1/daily",
            "numberOfFiles": 15738,
            "volume": 30725744480,
            "fileFormat": "Files are NetCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43245,
                "uuid": "083f0a37e058495eaef542263198019f",
                "short_code": "ob",
                "title": "EOCIS: Soil Moisture Africa, v2.3.1",
                "abstract": "This dataset contains Africa-wide soil moisture and related water balance variables produced within the Earth Observation Climate Information Service (EOCIS) project.\r\n\r\nThe product is derived using the JULES land surface model, forced with TAMSAT satellite rainfall estimates and other meteorological variables from the NCEP reanalysis, and tuned to NASA SMAP satellite soil moisture observations. Data are provided at the daily scale, from 1983-01-01 to present (latency around 7 days) at 0.25 degrees by 0.25 degrees spatial resolution.\r\n\r\nUsers should note that, due to challenges in estimating root-zone soil moisture, large differences can occur between datasets. As a result, absolute root-zone soil moisture values (including those from TAMSAT-SM) should be interpreted with caution when comparing across different products.\r\n\r\nFor further details, please visit the TAMSAT website (https://www.tamsat.org.uk)"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44514,
            "uuid": "c7d296e792df404d9f0f1093f55c7d89",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/ncas-mobile/data/ncas-lidar-aerosol-1/20230531_woest/v1.0/",
            "numberOfFiles": 310,
            "volume": 2764988302,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44513,
                "uuid": "3080771112d947e8bcfd7d130f753c01",
                "short_code": "ob",
                "title": "WOEST: aerosol backscatter from the NCAS Aerosol Lidar unit 1 deployed at MOD Lyneham, v1.0 (20230530-20230911)",
                "abstract": "Aerosol backscatter measurements from the NCAS Aerosol Lidar unit 1 deployed at MOD Lyneham. These observations were taken as part of Wessex convection experiment - Observing the Evolving Structures of Turbulence (WOEST) between 20230530 and 20230911.\r\n\r\nData products from this deployment version 1.0 include: range_squared_corrected_backscatter_power \r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44517,
            "uuid": "a9e578ff1fa1440aa8ba8125f7242daf",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/tls/data/raw/usa/HFB/2017-08-14.001.riproject",
            "numberOfFiles": 233,
            "volume": 4833694196,
            "fileFormat": "The scan folder contains a number of open and proprietary formats file formats CSV, ASCII, text, PNG , RXP and PAT",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44516,
                "uuid": "82f7734afb3845a8ba5176ed5b1273dc",
                "short_code": "ob",
                "title": "Weighing trees with lasers project: terrestrial laser scanner data; Harvard Forest Massachusetts (Plot HF-B), August 2017",
                "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nThe Harvard Forest plot is dominated by eastern hemlock and northern hardwood species, and will make an excellent comparison with several other hardwood plots in North America and China at similar latitudes. This plot is part of a global array of large-scale plots established by ForestGEO, which recently expanded sampling efforts into temperate forests to explore ecosystem processes beyond population dynamics and biodiversity. The Harvard Forest  was designed to include a continuous, expansive, and varied natural forest landscape that will yield opportunities for the study of forest dynamics and demography while capturing a large amount of existing science infrastructure (e.g., eddy flux towers, gauged sections of a small watershed, existing smaller permanent plots) that will enable the integrated study of ecosystem processes (e.g., biogeochemistry, hydrology, carbon dynamics) and forest dynamics .\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total).  The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44525,
            "uuid": "adaae7000bd4414aa1ae7595ad8ef3cf",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/tls/data/raw/usa/HFN/2017-08-14.002.riproject",
            "numberOfFiles": 377,
            "volume": 7673921701,
            "fileFormat": "The scan folder contains a number of open and proprietary formats file formats CSV, ASCII, text, PNG , RXP and PAT",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44524,
                "uuid": "44da591cfa3f4818a3a0ff318e6bf9fa",
                "short_code": "ob",
                "title": "Weighing trees with lasers project: terrestrial laser scanner data; Harvard Forest Massachusetts (Plot HF-N), August 2017",
                "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nThe Harvard Forest plot is dominated by eastern hemlock and northern hardwood species, and will make an excellent comparison with several other hardwood plots in North America and China at similar latitudes. This plot is part of a global array of large-scale plots established by ForestGEO, which recently expanded sampling efforts into temperate forests to explore ecosystem processes beyond population dynamics and biodiversity. The Harvard Forest  was designed to include a continuous, expansive, and varied natural forest landscape that will yield opportunities for the study of forest dynamics and demography while capturing a large amount of existing science infrastructure (e.g., eddy flux towers, gauged sections of a small watershed, existing smaller permanent plots) that will enable the integrated study of ecosystem processes (e.g., biogeochemistry, hydrology, carbon dynamics) and forest dynamics .\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total).  The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44527,
            "uuid": "864853ba30ca46ed8b79d5ead1b72332",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/tls/data/raw/usa/HFM/2017-08-14.003.riproject",
            "numberOfFiles": 937,
            "volume": 27101016455,
            "fileFormat": "The scan folder contains a number of open and proprietary formats file formats CSV, ASCII, text, PNG , RXP and PAT",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44526,
                "uuid": "aabf22e3dc1a4791bd3090756563b347",
                "short_code": "ob",
                "title": "Weighing trees with lasers project: terrestrial laser scanner data; Harvard Forest Massachusetts (Plot HF-M), August 2017",
                "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nThe Harvard Forest plot is dominated by eastern hemlock and northern hardwood species, and will make an excellent comparison with several other hardwood plots in North America and China at similar latitudes. This plot is part of a global array of large-scale plots established by ForestGEO, which recently expanded sampling efforts into temperate forests to explore ecosystem processes beyond population dynamics and biodiversity. The Harvard Forest  was designed to include a continuous, expansive, and varied natural forest landscape that will yield opportunities for the study of forest dynamics and demography while capturing a large amount of existing science infrastructure (e.g., eddy flux towers, gauged sections of a small watershed, existing smaller permanent plots) that will enable the integrated study of ecosystem processes (e.g., biogeochemistry, hydrology, carbon dynamics) and forest dynamics .\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total).  The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy."
            },
            "onlineresource_set": []
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        {
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            "short_code": "result",
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            "dataPath": "/neodc/sentinel_ard/products/indices/sentinel_2/evi2/v2/",
            "numberOfFiles": 60832,
            "volume": 17610503938549,
            "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format.",
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            "observation": {
                "ob_id": 44530,
                "uuid": "962a49e9127746018605ea617f596ba7",
                "short_code": "ob",
                "title": "JNCC Sentinel-2 indices Analysis Ready Data (ARD) Enhanced Vegetation Index v2 (EVI2)",
                "abstract": "EVI2 (Jiang et al., 2008) is computed using the near-infrared (NIR) and red bands. While the majority of EVI2 data falls within the range of -1 to +1, some values may exceed +1. These are typically associated with areas of high vegetation productivity (slightly exceeding +1), while some larger values may be associated with cloud, water or bright landscape features, such as buildings.\r\n\r\nEVI2 can be considered complementary to NDVI for understanding variation in vegetation greenness. However, compared to NDVI, EVI2 reduces atmospheric influences and adjusts for background canopy effects. It is also less prone to saturation in regions of high vegetation productivity. \r\n\r\nEVI2 = 2.5 * (NIR - RED) / (NIR +2.4 * RED + 1)\r\n\r\nSentinel-2 EVI2 (Defra/JNCC ARD bands) = 2.5 * (B07 – B03) / (B07 +2.4 * B03 + 1)\r\n\r\nEquivalent ESA Sentinel-2 bands: B08, B04\r\n\r\nData are provided in EPSG: 27700 OSGB36 / British National Grid, with a pixel size of 10m, and data is pixel-aligned to the source ARD file. No-data pixels are set to a value of -9999.\r\n\r\nThese data have been created by the Joint Nature Conservation Committee (JNCC) as part of the “Earth observation-based habitat change detection” project. This project is funded by the Department for Environment, Food and Rural Affairs (Defra) as part of the Natural Capital and Ecosystem Assessment (NCEA) programme. The project seeks to facilitate the effective uptake and use of Earth Observation data by producing data and tools for investigating and detecting parcel-level change in habitats and habitat condition. \r\n\r\nThe dataset contains NDVI, NDMI, NDWI, NBR and EVI2 indices derived from Defra and JNCC Sentinel-2 ARD. Index files have been generated for Sentinel-2 granules covering England and Scotland for the period from 2015 to 2025. \r\n\r\nContains modified Copernicus Sentinel data 2015-2025"
            },
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        {
            "ob_id": 44536,
            "uuid": "76c580c4d559487fa704269711c9a440",
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                "ob_id": 44535,
                "uuid": "c5586da814784847bf4bb3904a37480f",
                "short_code": "ob",
                "title": "Weighing trees with lasers project: terrestrial laser scanner data; Armstong Redwoods State Natural Reserve (Plot CALI-03), September 2017",
                "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nArmstrong Redwoods State Natural Reserve is a state park of California in the United States established to preserve 805 acres (326 ha) of coast redwoods (Sequoia sempervirens). The reserve is located in Sonoma County, just north of Guerneville. The reserve is in a temperate rainforest. The climate is mild and wet. The park receives an average of 55 inches (1.4 m) of rainfall per year, almost all between September and June. Abundant fog during the summer months helps to maintain the moist conditions required by the coast redwoods. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total).  The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy."
            },
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        {
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            "volume": 13598786998,
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                "ob_id": 44545,
                "uuid": "8953a6e5320f4f0e9cba0b51538c1544",
                "short_code": "ob",
                "title": "Weighing trees with lasers project: terrestrial laser scanner data; Armstong Redwoods State Natural Reserve (Plot CALI-04), September 2017",
                "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nArmstrong Redwoods State Natural Reserve is a state park of California in the United States established to preserve 805 acres (326 ha) of coast redwoods (Sequoia sempervirens). The reserve is located in Sonoma County, just north of Guerneville. The reserve is in a temperate rainforest. The climate is mild and wet. The park receives an average of 55 inches (1.4 m) of rainfall per year, almost all between September and June. Abundant fog during the summer months helps to maintain the moist conditions required by the coast redwoods. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total).  The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy."
            },
            "onlineresource_set": []
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        {
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            "dataPath": "/neodc/tls/data/raw/usa/CALI-05/2017-09-13.001.riproject",
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                "ob_id": 44547,
                "uuid": "b2cc9fa8a1724936bb07d50e1cfd1e4a",
                "short_code": "ob",
                "title": "Weighing trees with lasers project: terrestrial laser scanner data; Armstong Redwoods State Natural Reserve (Plot CALI-05), September 2017",
                "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nArmstrong Redwoods State Natural Reserve is a state park of California in the United States established to preserve 805 acres (326 ha) of coast redwoods (Sequoia sempervirens). The reserve is located in Sonoma County, just north of Guerneville. The reserve is in a temperate rainforest. The climate is mild and wet. The park receives an average of 55 inches (1.4 m) of rainfall per year, almost all between September and June. Abundant fog during the summer months helps to maintain the moist conditions required by the coast redwoods. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total).  The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44550,
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            "curationCategory": "A",
            "dataPath": "/neodc/tls/data/raw/usa/CALI-06/2017-09-14.001.riproject",
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            "volume": 13713189421,
            "fileFormat": "The scan folder contains a number of open and proprietary formats file formats CSV, ASCII, text, PNG , RXP and PAT",
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            "observation": {
                "ob_id": 44549,
                "uuid": "46dcd358062042eb9a7bd3f9454df127",
                "short_code": "ob",
                "title": "Weighing trees with lasers project: terrestrial laser scanner data; Armstong Redwoods State Natural Reserve (Plot CALI-06), September 2017",
                "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations, which have been re-surveyed at different times. \r\n\r\nArmstrong Redwoods State Natural Reserve is a state park of California in the United States established to preserve 805 acres (326 ha) of coast redwoods (Sequoia sempervirens). The reserve is located in Sonoma County, just north of Guerneville. The reserve is in a temperate rainforest. The climate is mild and wet. The park receives an average of 55 inches (1.4 m) of rainfall per year, almost all between September and June. Abundant fog during the summer months helps to maintain the moist conditions required by the coast redwoods. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total).  The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents or whether they differ significantly and require continental-level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data, including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44552,
            "uuid": "c2f00567ada54dcb97663df28c7a6c8d",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/tls/data/raw/malaysia/CBN-01/2017-03-28.001.riproject",
            "numberOfFiles": 2449,
            "volume": 58505219712,
            "fileFormat": "The scan folder contains a number of open and proprietary formats file formats CSV, ASCII, text, PNG , RXP and PAT",
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                "ob_id": 44551,
                "uuid": "03634cd8f10943b39d9982e6f9bbb402",
                "short_code": "ob",
                "title": "Weighing trees with lasers: terrestrial laser scanner data; Danum Valley Conservation Area (Plot CBN-01), March 2017",
                "abstract": "This dataset is comprised of raw and proceesed  data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed on a  plot site  situated in the Danum Valley Conservation Area. Danum Valley Conservation Area is a 438 square kilometres (169 sq mi) tract of relatively undisturbed lowland dipterocarp forest in Sabah, Malaysia. It has an extensive diversity of tropical flora and fauna.\r\n\r\nThere were no human settlements within the area before it became a conservation area, meaning that hunting, logging and other human interference were non-existent, making the area almost unique. It is managed by Yayasan Sabah for conservation, research, education, and habitat restoration training purposes. \r\n\r\nThe aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy."
            },
            "onlineresource_set": []
        },
        {
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        {
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            "dataPath": "/neodc/sentinel_ard/products/indices/sentinel_1/vhvv/v1/",
            "numberOfFiles": 9741,
            "volume": 19606057295084,
            "fileFormat": "These data are supplied in Cloud Optimized GeoTIFF (COG) format.",
            "storageStatus": "online",
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            "observation": {
                "ob_id": 44534,
                "uuid": "500d38196eb044278747c2f2a5e93da0",
                "short_code": "ob",
                "title": "JNCC Sentinel-1 indices Analysis Ready Data (ARD) VH/VV Cross Ratio",
                "abstract": "The VH/VV Sentinel-1 cross ratio highlights volume scattering and can be used to infer structural information about a landscape and provide insights into vegetation water content (Vreugdenhil et al., 2018). Computing the ratio helps to reduce measurement geometry, topography and calibration effects which may be present in the separate Sentinel-1 VH and VV polarisation bands (Meyer, 2019). This ratio can be used to monitor vegetation structure and growth and has been shown to correspond to NDVI for certain crops (Vreugdenhil et al., 2020).\r\n\r\nThe VH/VV cross ratio is calculated using the Defra and Joint Nature Conservation Committee (JNCC) VH (band 2) and VV (band 1) ARD bands. Prior to completing the VH/VV calculation, the VV and VH polarisations are converted from decibels (as they are provided in the Defra and JNCC Sentinel-1 ARD) to a linear scale. \r\n\r\nData are provided in EPSG: 27700 OSGB36 / British National Grid, with a pixel size of 10m, and data is pixel-aligned to the source ARD file. No-data pixels are set to a value of -9999. Pixels with values of 50 or higher, or -50 or lower, were assigned the no-data value.\r\n\r\nThese data have been created by the Joint Nature Conservation Committee (JNCC) as part of the “Earth observation-based habitat change detection” project. This project is funded by the Department for Environment, Food and Rural Affairs (Defra) as part of the Natural Capital and Ecosystem Assessment (NCEA) programme. The project seeks to facilitate the effective uptake and use of Earth Observation data by producing data and tools for investigating and detecting parcel-level change in habitats and habitat condition. \r\n\r\nVH/VV files have been generated for Sentinel-1A ascending orbit granules covering England and Scotland for the period from 2015 to 2025. \r\n\r\nContains modified Copernicus Sentinel data 2015-2025"
            },
            "onlineresource_set": []
        },
        {
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            "uuid": "62044e8204654aabbbea1287bd0d9d87",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/ukmo-midas-open/data/uk-radiation-obs/dataset-version-202507/",
            "numberOfFiles": 5893,
            "volume": 3187472219,
            "fileFormat": "Data are BADC-CSV formatted.",
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            "observation": {
                "ob_id": 44579,
                "uuid": "76e54f87291c4cd98c793e37524dc98e",
                "short_code": "ob",
                "title": "MIDAS Open: UK hourly solar radiation data, v202507",
                "abstract": "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. \r\n\r\nFor details about the different measurements made and the limited number of sites making them please see the MIDAS Solar Irradiance table linked to in the online resources section of this record.\r\n\r\nThis 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 2024.\r\n\r\nThe 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 2024.\r\n\r\nThis 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."
            },
            "onlineresource_set": []
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        {
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            "uuid": "e7a95793607a4f93ad21977ea36125cf",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/ukmo-midas-open/data/uk-soil-temperature-obs/dataset-version-202507/",
            "numberOfFiles": 24136,
            "volume": 4362367251,
            "fileFormat": "Data are BADC-CSV formatted.",
            "storageStatus": "online",
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            "observation": {
                "ob_id": 44580,
                "uuid": "406b7689394542919d682e46afb7c819",
                "short_code": "ob",
                "title": "MIDAS Open: UK soil temperature data, v202507",
                "abstract": "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 2024.\r\n\r\nThis 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 2024.\r\n\r\nAt 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.\r\n\r\nLiquid-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.\r\n\r\nThis 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."
            },
            "onlineresource_set": []
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        {
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            "uuid": "9132694d876f4ff38d7590c409b077c7",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/ukmo-midas-open/data/uk-mean-wind-obs/dataset-version-202507/",
            "numberOfFiles": 15897,
            "volume": 9239183702,
            "fileFormat": "Data are BADC-CSV formatted.",
            "storageStatus": "online",
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            "observation": {
                "ob_id": 44585,
                "uuid": "bed3b1f2ce0c4ba780927e9fac04f696",
                "short_code": "ob",
                "title": "MIDAS Open: UK mean wind data, v202507",
                "abstract": "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 2024.\r\n\r\nThis 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 2024.\r\n\r\nFor 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).\r\n\r\nThis 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."
            },
            "onlineresource_set": []
        },
        {
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            "uuid": "ae15383088e644899317849ad735e73a",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/ukmo-midas-open/data/uk-hourly-weather-obs/dataset-version-202507/",
            "numberOfFiles": 53822,
            "volume": 35406484741,
            "fileFormat": "Data are BADC-CSV formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
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            "observation": {
                "ob_id": 44584,
                "uuid": "99173f6a802147aeba430d96d2bb3099",
                "short_code": "ob",
                "title": "MIDAS Open: UK hourly weather observation data, v202507",
                "abstract": "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 2024.\r\n\r\nThis 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 2024.\r\n\r\nFor details on observing practice see the message type information in the MIDAS User Guide linked from this record and relevant sections for parameter types.\r\n\r\nThis 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."
            },
            "onlineresource_set": []
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        {
            "ob_id": 44573,
            "uuid": "c232a43e7ca941f787970ae67e811914",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/ukmo-midas-open/data/uk-daily-temperature-obs/dataset-version-202507/",
            "numberOfFiles": 75497,
            "volume": 2318715270,
            "fileFormat": "Data are BADC-CSV formatted.",
            "storageStatus": "online",
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            "observation": {
                "ob_id": 44582,
                "uuid": "9244f715ecfd4e74b0b6200de55e1b1a",
                "short_code": "ob",
                "title": "MIDAS Open: UK daily temperature data, v202507",
                "abstract": "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 2024. 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.\r\n\r\nThis 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 2024.\r\n\r\nThis 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."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44574,
            "uuid": "0ce878ab070c4744adc73c22842cdfe8",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/ukmo-midas-open/data/uk-hourly-rain-obs/dataset-version-202507/",
            "numberOfFiles": 18950,
            "volume": 7651336987,
            "fileFormat": "Data are BADC-CSV formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
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            "observation": {
                "ob_id": 44583,
                "uuid": "c75ca7291a5048739010380dce6ebc99",
                "short_code": "ob",
                "title": "MIDAS Open: UK hourly rainfall data, v202507",
                "abstract": "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.\r\n\r\nThis 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.\r\n\r\nThe 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 2024.\r\n\r\nThis 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."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44575,
            "uuid": "16e70a7c438743a5967fbfa2104acacb",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/ukmo-midas-open/data/uk-daily-weather-obs/dataset-version-202507/",
            "numberOfFiles": 52364,
            "volume": 3268535791,
            "fileFormat": "Data are BADC-CSV formatted.",
            "storageStatus": "online",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 44586,
                "uuid": "c0cd9756b5234f1881c375fb6bb94245",
                "short_code": "ob",
                "title": "MIDAS Open: UK daily weather observation data, v202507",
                "abstract": "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 2024. For details of observations see the relevant sections of the MIDAS User Guide linked from this record for the various message types.\r\n\r\nThis 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 2024.\r\n\r\nThis 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."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44576,
            "uuid": "38dd1b29e4ed42babf6a5d6e616fdc1c",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/ukmo-midas-open/data/uk-daily-rain-obs/dataset-version-202507/",
            "numberOfFiles": 471762,
            "volume": 9525916615,
            "fileFormat": "Data are BADC-CSV formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44581,
                "uuid": "8ddfd4dd5af443f9ad382cd77366d877",
                "short_code": "ob",
                "title": "MIDAS Open: UK daily rainfall data, v202507",
                "abstract": "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 2024. 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.\r\n\r\nThis version supersedes the previous version (202407) 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 2024.\r\n\r\nThis 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."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44602,
            "uuid": "132d1228c32a49b79d3a32aba5ed2cd1",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/esacci/land_surface_temperature/data/MULTISENSOR_IRCDR/L3S/0.01/v3.00/daily",
            "numberOfFiles": 20259,
            "volume": 5001176580139,
            "fileFormat": "Data are in NetCDF format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44528,
                "uuid": "e67b02b814bf4a78b9ec90b4259f0741",
                "short_code": "ob",
                "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Daily multisensor Infra-Red (IR) Low Earth Orbit (LEO) land surface temperature (LST) time series level 3 supercollated (L3S) global product (1995-2024), version 3.00",
                "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from multiple Infra-Red (IR) instruments on Low Earth Orbiting (LEO) sun-synchronous (a.k.a. polar orbiting) satellites. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to 10:00 and 22:00 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset is comprised of LSTs from a series of instruments with a common heritage: the Along-Track Scanning Radiometer 2 (ATSR-2); the Advanced Along-Track Scanning Radiometer (AATSR) and the Sea and Land Surface Temperature Radiometer on Sentinel 3B (SLSTRB); and data from the Moderate Imaging Spectroradiometer on Earth Observation System - Terra (MODIS Terra), to fill the gap between AATSR and SLSTR. So, the instruments contributing to the time series are: ATSR-2 from June 1995 to May 2002; AATSR from June 2002 to March 2012; MODIS Terra from April 2012 to November 2018; and SLSTRB from December 2018 to December 2024. Inter-instrument biases are accounted for by cross-calibration with the Infrared Atmospheric Sounding Interferometer (IASI) instruments on Meteorological Operational (METOP) satellites. For consistency, a common algorithm is used for LST retrieval for all instruments. Furthermore, an adjustment is made to the LSTs to account for the half-hour difference between satellite equator crossing times. For consistency through the time series, coverage is restricted to the narrowest instrument swath width.\r\n\r\nThe dataset coverage is near global over the land surface. During the period covered by ATSR-2, small regions were not covered due to downlinking constraints (most noticeably a track extending southwards across central Asia through India – further details can be found on the ATSR project webpages at https://artefacts.ceda.ac.uk/frozen_sites/www.atsr.rl.ac.uk/documentation/docs/userguide/index.shtml).\r\n\r\nLSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. Full Earth coverage is achieved in 3 days so the daily files have gaps where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 1st June 1995 and currently ends on 31st December 2024. There are two gaps of several months in the dataset: no data were acquired from ATSR-2 between 23 December 1995 and 27 June 1996 due to a scan mirror anomaly; and the ERS-2 gyro failed in January 2001, data quality was less good between 17th Jan 2001 and 5th July 2001 and are not used in this dataset. Also, there is a twelve day gap in the dataset due to Envisat mission extension orbital manoeuvres from 21st October 2010 to 1st November 2010. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThis version of the dataset (Version 3.00) extends the temporal coverage by four years to the end of 2024.   This dataset provides a daily product, and a separate monthly averaged product also exists.  The temporal coverage of the monthly product will be further extended at 6 monthly intervals through the Copernicus Climate Change Service. Other changes in Version 3.00 include:  SLSTR on Sentinel 3A is no longer used, instead data from  SLSTR on Sentinel 3B is used from November 2018; the correction for time differences between the sensors is calculated in brightness temperature space using radiative transfer simulations; and the ATSR-2 and AATSR data are from the fourth reprocessing of these datasets.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a Generalised Split Window retrieval algorithm and data were processed in the UoL processing chain.\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44606,
            "uuid": "28f46e41ec5c424d9341dcdb7a099c64",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/land_surface_temperature/data/MULTISENSOR_IRCDR/L3S/0.01/v3.00/monthly/",
            "numberOfFiles": 689,
            "volume": 1250378784280,
            "fileFormat": "Data are in NetCDF format",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44529,
                "uuid": "b8be3f3993e54d309fddf61ea5d3674f",
                "short_code": "ob",
                "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly Multisensor Infra-Red (IR) Low Earth Orbit (LEO) land surface temperature (LST) time series level 3 supercollated (L3S) global product (1995-2024), version 3.00",
                "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from multiple Infra-Red (IR) instruments on Low Earth Orbiting (LEO) sun-synchronous (a.k.a. polar orbiting) satellites. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to 10:00 and 22:00 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset is comprised of LSTs from a series of instruments with a common heritage: the Along-Track Scanning Radiometer 2 (ATSR-2); the Advanced Along-Track Scanning Radiometer (AATSR); the Sea and Land Surface Temperature Radiometer on Sentinel 3B (SLSTRB); and data from the Moderate Imaging Spectroradiometer on Earth Observation System - Terra (MODIS Terra) to fill the gap between AATSR and SLSTR. So, the instruments contributing to the time series are: ATSR-2 from June 1995 to May 2002; AATSR from June 2002 to March 2012; MODIS Terra from April 2012 to November 2018; and SLSTRB from December 2018 to December 2024. Inter-instrument biases are accounted for by cross-calibration with the Infrared Atmospheric Sounding Interferometer (IASI) instruments on Meteorological Operational (METOP) satellites. For consistency, a common algorithm is used for LST retrieval for all instruments. Furthermore, an adjustment is made to the LSTs to account for the half-hour difference between satellite equator crossing times. For consistency through the time series, coverage is restricted to the narrowest instrument swath width.\r\n\r\nThe dataset coverage is near global over the land surface. During the period covered by ATSR-2, small regions were not covered due to downlinking constraints (most noticeably a track extending southwards across central Asia through India – further details can be found on the ATSR project webpages at https://artefacts.ceda.ac.uk/frozen_sites/www.atsr.rl.ac.uk/documentation/docs/userguide/index.shtml).\r\n\r\nLSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. Full Earth coverage is achieved in 3 days. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.  In this dataset, data has been averaged to a monthly grid.  A separate daily product is also available.\r\n\r\nDataset coverage starts on 1st June 1995 and currently ends on 31st December 2024. There are two gaps of several months in the dataset: no data were acquired from ATSR-2 between 23 December 1995 and 27 June 1996 due to a scan mirror anomaly; and the ERS-2 gyro failed in January 2001, data quality was less good between 17th Jan 2001 and 5th July 2001 and are not used in this dataset. Also, there is a twelve day gap in the dataset due to Envisat mission extension orbital manoeuvres from 21st October 2010 to 1st November 2010. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThis version of the dataset (Version 3.00) extends the temporal coverage by four years to the end of 2024. The temporal coverage of the monthly product will be further extended at 6 monthly intervals through the Copernicus Climate Change Service. Other changes in Version 3.00 include a change from SLSTR on Sentinel 3A to SLSTR on Sentinel 3B; the correction for time differences between the sensors is calculated in brightness temperature space using radiative transfer simulations; and the ATSR-2 and AATSR data are from the fourth reprocessing of these datasets.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a Generalised Split Window retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44609,
            "uuid": "98b1be7618354e8888fc0ad25f378a28",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/bodc/pol250900/",
            "numberOfFiles": 0,
            "volume": 0,
            "fileFormat": "net-cdf",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44610,
                "uuid": "14dd121043e24f79b59d80e952b70f56",
                "short_code": "ob",
                "title": "Wave projections from the North Western European shelf modelled from 1992-2093.",
                "abstract": "This dataset consists of outputs from a wave model for the North-West European Shelf. It contains simulation periods conducted over monthly time spans. These include: historic reanalysis periods: January 2017; June 2018 and climate projection periods: June 1992; January 1996; January 2050; June 2053; January 2090; June 2093. The outputs contain wave parameters integrated from the two-dimensional (frequency, direction) wave spectrum and describe wave height, period and directional characteristics for both the overall sea-state and wind-sea and swell components. The data are delivered on a regular grid at approximately 1.5km resolution, at an hourly frequency. The wave model is WAVEWATCH III and the North-West Shelf configuration is based on a rotated 1.5 km grid used for NORTHWESTSHELF_ANALYSIS_FORECAST_PHY_004_013. The model is forced by lateral boundary conditions from a consistent Global wave model. The reanalysis atmospheric forcing is given by the ECMWF ERA-5 Numerical Weather Prediction reanalysis. Future projections are forced by HadGEM3-GC3.05 PPE derived surface forcing and ocean lateral boundaries (Tinker et. al 2023). The outputs were generated under the ECOWind ACCELERATE project funded by the Natural Environment Research Council (NERC) under reference NE/X008886/1."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44611,
            "uuid": "b5735462db2241efa090d41cbdff8242",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/bodc/pol250901/",
            "numberOfFiles": 25,
            "volume": 332992162500,
            "fileFormat": "net-cdf",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44612,
                "uuid": "658d3bc291374f68abc4c5f3662ac74d",
                "short_code": "ob",
                "title": "Model outputs containing ocean physics projections from the North Western European shelf from 1992-2093.",
                "abstract": "This dataset consists of outputs from a baroclinic hydrodynamic model for the North-West European Shelf. It contains simulation periods conducted over monthly time spans. These include: historic reanalysis periods: January 2017; June 2018 and climate projection periods: June 1992; January 1996; January 2050; June 2053; January 2090; June 2093. The outputs contain sea surface height, bottom and top temperature, bottom and top salinity, and seabed stress diagnostics, bottom and top current speed, as well as barotropic (depth integrated) velocities. The data are delivered on a regular grid at approximately 1.5km resolution, at an hourly frequency. The baroclinic hydrodnamic model is NEMO (Nucleus for European Modelling of the Ocean) and the North-West Shelf configuration is based on a rotated 1.5 km grid used for NORTHWESTSHELF_ANALYSIS_FORECAST_PHY_004_013. The reanalysis atmospheric forcing is given by the ECMWF ERA-5 Numerical Weather Prediction reanalysis. Future projections are forced by HadGEM3-GC3.05 PPE derived surface forcing and ocean lateral boundaries (Tinker et. al 2023). To reduce spin up time, the simulations are restarted from conditions base on the consistent AMM7 simulations interpolated to the AMM15 grid. The North Western boundary of the AMM15 grid, not covered by AMM7, is constructed by integrating a set of consistent AMM15 boundaries provided by the Met Office (not publicly available) and interpolating over the missing region. The outputs were generated under the ECOWind ACCELERATE project funded by the Natural Environment Research Council (NERC) under reference NE/X008886/1."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44613,
            "uuid": "bddfb1053bb24fc2b0c022d510b38aec",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/bodc/pol250902/",
            "numberOfFiles": 0,
            "volume": 0,
            "fileFormat": "net-cdf",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44614,
                "uuid": "5e43b8208992426283231f2d91aa9a1a",
                "short_code": "ob",
                "title": "Model outputs containing seabed mobility projections from the North Western European shelf from 1992-2093.",
                "abstract": "This dataset consists of outputs from a hydrodynamic and wave model for the North-West European Shelf. It contains simulation periods conducted over monthly time spans. These include: historic reanalysis periods: January 2017; June 2018 and climate projection periods: June 1992; January 1996; January 2050; June 2053; January 2090; June 2093. The outputs contain hourly combined mean and maximum bed shear stresses (Tau), and monthly derived seabed motion, or 'capacity to move'. Wave and hydrodynamic seabed stresses are calculated following the approach of Soulsby (1997). This indicates what sediment grain size could be mobilised at the seabed as the given value of shear stress. The data are delivered on a regular grid at approximately 1.5km resolution. The hydrodynamic model is NEMO (Nucleus for European Modelling of the Ocean) and wave model is WAVEWATCH III and the North-West Shelf configuration is based on a rotated 1.5 km grid used for NORTHWESTSHELF_ANALYSIS_FORECAST_PHY_004_013. The model is forced by lateral boundary conditions from a consistent Global wave hindcast. The reanalysis atmospheric forcing is given by the ECMWF ERA-5 Numerical Weather Prediction reanalysis. Future projections are forced by HadGEM3-GC3.05 PPE derived surface forcing and ocean lateral boundaries (Tinker et. al 2023). The wave model is forced by lateral boundary conditions from a consistent Global wave simulation. The outputs were generated under the ECOWind ACCELERATE project funded by the Natural Environment Research Council (NERC) under reference NE/X008886/1."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44635,
            "uuid": "fa2b7434b4f24f05bcdd90b1f94a0d54",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/bodc/deposits02/uso250924",
            "numberOfFiles": 0,
            "volume": 0,
            "fileFormat": "segy",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": null,
            "onlineresource_set": []
        },
        {
            "ob_id": 44636,
            "uuid": "defc4db0815143758d6793a12ec1693a",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/bodc/uso250924",
            "numberOfFiles": 0,
            "volume": 0,
            "fileFormat": "segy",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44648,
                "uuid": "00e79f41a85142d49b853695f07c3c2a",
                "short_code": "ob",
                "title": "Multi-channel seismic data recorded by Sercel SEAL streamer and recording system during RRS James Cook expedition JC228, Guatemala Basin (2022-2023)",
                "abstract": "Multi-channel seismic (MCS) data were recorded by Sercel SEAL streamer and recording system during RRS James Cook expedition JC228 (December 2022 to January 2023) in the Guatemala Basin region of the North Pacific Ocean. The aim was to sample fast-spreading ocean lithosphere of the northern Cocos Plate from its formation to subduction in the Mid-America Trench. MCS data were recorded along a linear transect with grids in three focus areas; two on the passively cooling oceanic plate, the third spanned the transition into the subduction zone. This work aimed to deliver key information on the evolution of oceanic lithosphere as well as provide essential site survey information for two IODP Proposals: the flagship MoHole to Mantle initiative (M2M; IODP-805MDP) and the Bend Fault Serpentinization experiment (approved IODP-876Pre). The work was undertaken by scientists at the University of Southampton, UK in collaboration with GEOMAR Helmholtz Centre for Ocean Research, Germany, funded as part of NERC grant 'From Ridge to Trench, MoHole to Bend-Faults', grant reference NE/M021246/1."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44649,
            "uuid": "a9a88fdf5319425abdee86e6ce439dd0",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/bodc/gebco/global/gebco_2025/",
            "numberOfFiles": 113,
            "volume": 114714161157,
            "fileFormat": "Data: .nc; .tif; .xml; .asc; .prj\r\nDocumentation and metadata: .csv; .txt; .pdf; .xlsx;",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": null,
            "onlineresource_set": []
        },
        {
            "ob_id": 44651,
            "uuid": "964e9503a34648e9b9e835b5c1c911d7",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/bodc/gebco/global/gebco_2025",
            "numberOfFiles": 114,
            "volume": 114714162013,
            "fileFormat": "Data: .nc; .tif; .xml; .asc; .prj\r\nDocumentation and metadata: .csv; .txt; .pdf; .xlsx;",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44650,
                "uuid": "05fba4c5b8fe4daea8ff751026daf438",
                "short_code": "ob",
                "title": "The GEBCO_2025 Grid - a continuous terrain model for oceans and land at 15 arc-second intervals",
                "abstract": "The GEBCO_2025 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. In regions largely outside of the Arctic and Southern Ocean areas, the grid uses as a base Version 2.7 of the SRTM15_plus data set (Tozer et al., 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2025 Grid represents all data within the 2025 compilation. The compilation of the GEBCO_2025 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the Regional Centers provide their data sets as sparse grids i.e. only grid cells that contain data are populated. These data sets were included on to the base using a 'remove-restore' blending procedure. This is a two-stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2025 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute (AWI), Germany; Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research (NIWA), New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory (LDEO), Columbia University, USA; Arctic and North Pacific Oceans - jointly hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44653,
            "uuid": "f5f7230cdfd245489fa1dfc2f9d1a1ef",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/woest/data/metoffice-fluxtower-netheravon/",
            "numberOfFiles": 584,
            "volume": 492545730,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44652,
                "uuid": "d24cd5dd66064d7b84350b2495227836",
                "short_code": "ob",
                "title": "WesCon: Met Office surface to 16 m meteorology, radiation and subsoil measurements from   Airfield Camp, Netheravon, v1.0 (20230421-20230914)",
                "abstract": "A continuous hydrometeorological record of the temporary Met Office Observation-based research site at Netheravon, Wiltshire (51.241°N, -1.777°W, 120 m amsl) in southern England during the summer of 2023. Netheravon formed a supersite for the Wessex Summertime Convection Experiment (WesCon)/WesCon - Observing the Evolving Structures of Turbulence (WOEST) field campaign. This dataset contains recorded surface meteorology, radiation and subsoil measurements  from sensors mounted on a combination of 1.2 m, 2 m and 16 m masts at 1, 5, 10, and 30 minute averaging periods.\r\n\r\nInstruments mounted on 1.2m, 2 m and 16 m masts include:\r\n•\tVector Instruments T302 PRT temperature sensors.\r\n•\tScreened and aspirated HMP155s for measuring temperature and relative humidity.\r\n•\tGill HS50 3-D horizontally symmetric ultrasonic anemometers for winds and turbulent heat fluxes.\r\n•\tLicor Li-7500 high-speed open-path hygrometer was located at 16 m.\r\n•\tDelta-T BS5 measured barometric pressure at 1.5 m.\r\n\r\nSurface instrumentation includes:\r\n•\tRainfall is measured with a EML SB500 tipping-bucket gauge with a 0.2 mm accuracy.\r\n•\tScreened and aspirated Rotronics Hydroclip2 measured grass canopy (8 cm) air temperature and RH.\r\nRadiation instrumentation includes:\r\n•\tClear-domed Kipp and Zonen CMP21 pyranometers located at 2 m measured global downwelling, and upwelling components (of wavelength between 0.3-3 μm).\r\n•\tKipp and Zonen CG4 pyrgeometers located at 2 m measured the downwelling and upwelling longwave radiation (4.5–40 μm).\r\n•\tGrass and concrete skin temperatures were measured radiometrically with the Heitronics KT15 pyrometer.\r\n\r\nAerosol and visibility instrumentation includes:\r\n\r\n•\tA Campbell CS120 visiometer located at 2 m measured visual range through air (visibility)\r\nSubsoil instrumentation includes:\r\n•\tDelta-T ML3 theta probes measured volumetric soil moisture at the surface (0-5 cm) and 10 cm depths.\r\n•\tDelta-T ST1 thermistor probes measured soil temperature at 1, 4, 10, 17 cm depths.\r\n•\tHukseflux HFP01SC flux plate measured ground heat flux (2 cm depth).\r\n\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44659,
            "uuid": "eb96ee72ddde4d8bbdf009e2246380b2",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/woest/data/metoffice-microwave-radiometer-humpro/",
            "numberOfFiles": 300,
            "volume": 3708409281,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44656,
                "uuid": "91e618f4a45c4d698e161aa10119cc14",
                "short_code": "ob",
                "title": "WesCon: humidity profiles, liquid water paths and integrated water vapour measurement from the Met Office RPG Humpro microwave radiometer at Airfield Camp, Netheravon, v1.0 (20230419-20230919)",
                "abstract": "Data from the Met Office Observation-based research RPG Humpro profiling microwave radiometer deployed at Netheravon, Wiltshire (51.241°N, -1.777°W, 120 m amsl) in southern England during the summer of 2023. Netheravon formed a supersite for the Wessex Summertime Convection Experiment (WesCon)/WesCon - Observing the Evolving Structures of Turbulence (WOEST) field campaign. The dataset includes retrieved humidity profiles in addition to the liquid water paths and integrated water vapour paths using brightness temperatures measured at seven microwave frequencies between 22.24 and 31.4 GHz (this band in general being sensitive to water vapour and cloud). The liquid and vapour water path retrievals used a supplied neural network algorithm (which is trained with radiosonde data using a radiative transfer scheme). Two archived files are available, based on the time series (water vapour and liquid water) and profile (humidity) data.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44662,
            "uuid": "d8000f9f4a044ae8818c15eb13ac3c8b",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/woest/data/metoffice-disdrometer/",
            "numberOfFiles": 147,
            "volume": 398590300,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44660,
                "uuid": "c8038337158c4ecd90d21c0a199cce41",
                "short_code": "ob",
                "title": "WesCon: precipitation measurements from the Met Office Thies disdrometer at Airfield Camp, Netheravon, v1.0 (20230419-20230919)",
                "abstract": "Precipitation measurements from the Met Office Thies disdrometer deployed at Netheravon, Wiltshire (51.241°N, -1.777°W, 120 m amsl) in southern England during the summer of 2023. Netheravon formed a supersite for the Wessex Summertime Convection Experiment (WesCon)/WesCon - Observing the Evolving Structures of Turbulence (WOEST) field campaign. \r\nThe Thies laser disdrometer is a laser optical device used for the measurement of diameter and fall velocity of hydrometeors. From such measurements, it is possible to classify different types of precipitation, such as drizzle, rain, hail, snow, and mixed precipitation, quantify precipitation in a time interval, and derive size and velocity joint distribution. Thies laser disdrometer can in addition detect fine drizzle, drop fall speed and drop size distribution. \r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44665,
            "uuid": "1a93142d2c7944a28054d001a0785666",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/woest/data/metoffice-halo-lidar-35",
            "numberOfFiles": 541,
            "volume": 55878847386,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44663,
                "uuid": "7fb87dfcc7af40f783dc181b2c0d3e6c",
                "short_code": "ob",
                "title": "WesCon: Vertical wind profiles and backscatter measurements from the Met Office Halo Doppler Lidar unit 35 at Airfield Camp, Netheravon, v1.0 (20230426-20230918)",
                "abstract": "Vertical wind profiles and backscatter measurements from the Met Office Halo Doppler Lidar unit 35 deployed at Netheravon, Wiltshire (51.241°N, -1.777°W, 120 m amsl) in southern England during the summer of 2023. Netheravon formed a supersite for the Wessex Summertime Convection Experiment (WesCon)/WesCon - Observing the Evolving Structures of Turbulence (WOEST) field campaign. \r\nThe Halo lidar is based on a 1565 nm laser emitting linearly polarized pulsed light through an 8 cm diameter lens with a heterodyne detector. Laser beam returns from the atmosphere are range-gated velocity and back-scattered power. The Halo is capable of full hemispheric scanning of the backscatter coefficient and radial velocity as a function of beam range. \r\nThe usual operation was vertical stares (zenith angle=0°) with periodic wind scans that invoked various options of off-axis views. DBS (Doppler beam swinging) scans used a tri-axis azimuthally orthogonal technique using the single lidar beam to retrieve horizontal mean wind components every 30 mins. Multi-axis VAD (velocity azimuth display) scans are a more involved version of the DBS scans and used 12 point off-zenith views performed every 60 mins. The vertical stares, DBS and VAD wind scans produced separate archived netCDF files. \r\nAlthough depolarisation capability was possible with unit 35, this was switched off during WesCon.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44669,
            "uuid": "2195ba4f854245d0909fa5f928e472ab",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/woest/data/metoffice-aws/",
            "numberOfFiles": 1583,
            "volume": 512219691,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44666,
                "uuid": "12298b52a84c482cbd274b44c866cbd1",
                "short_code": "ob",
                "title": "WesCon: near-surface meteorology from Met Office automatic weather stations at 11 locations for the WesCon/WOEST measurement campaign.  v1.0 (20230414-20231004)",
                "abstract": "This dataset contains a continuous record of temporary in-house designed Met Office automatic weather stations (AWS) deployed at 11 locations in southern England during the summer of 2023 as part of the Wessex Summertime Convection Experiment (WesCon)/WesCon - Observing the Evolving Structures of Turbulence (WOEST) field campaign. \r\n\r\nThe dataset contains recorded surface meteorology and (at six of the locations) subsoil sensors at 1 minute averaging period based around a 1.5 m mast.\r\nInstruments at 1.5 m height include: (Chilbolton, Clench Common, Spire View, Yatesbury Field, Lydeway Field, Breach Hill, Keevil,  Wadswick Farm, The Park Brown Shutters, Henstridge)\r\n•\tPRT screened temperature sensor.\r\n•\tRotronics Hygroclip2 for measuring screened temperature and relative humidity.\r\n•\tBosch Sensortec BMP280 barometric pressure sensor.\r\n•\tRainfall is measured with a Hobo RG3 tipping-bucket gauge with a 0.2 mm accuracy.\r\n•\tHorizontal wind speed and direction from a Gill WindSonic 2-D ultrasonic sensor.\r\nSubsoil instrumentation (at six sites: Lydeway, Chilbolton, Keevil, Henstridge, The Park, Clench Common) includes:\r\n•\tDelta-T PR2 probe measured volumetric soil moisture at various depths (10, 20, 30, 40 cm).\r\n•\tDelta-T ST2 thermistor probes measured soil temperature at 1 cm depth.\r\n•\tHukseflux HFP01SC flux plate measured ground heat flux (2 cm depth).\r\n\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44672,
            "uuid": "ed5d50ce14874e0ba65bf40a6f8bc6ec",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/woest/data/metoffice-ceilometer-ct25k/",
            "numberOfFiles": 147,
            "volume": 466920596,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44670,
                "uuid": "4c728040321d4342a27b19f80c8bfd0c",
                "short_code": "ob",
                "title": "WesCon: Cloud height measurements from the Met Office Vaisala CT25K Laser Ceilometer at Airfield Camp, Netheravon, v1.0 (20230426-20230919)",
                "abstract": "Cloud height measurements from the Met Office Vaisala CT25K Laser Ceilometer deployed at Netheravon, Wiltshire (51.241°N, -1.777°W, 120 m amsl) in southern England during the summer of 2023. Netheravon formed a supersite for the Wessex Summertime Convection Experiment (WesCon)/WesCon - Observing the Evolving Structures of Turbulence (WOEST) field campaign. \r\n\r\nThe CT25K Laser ceilometer is a general-purpose cloud height sensor employing LIDAR technology for detection of clouds, precipitation and other obstructions to vision. The CT25K provides reliable determination of cloud height up to 25,000 feet (7.5 km) thus covering most heights where dense clouds appear. It is designed to detect up to three possible cloud layers.\r\nThe Vaisala CT25K laser ceilometer measures cloud height-or vertical visibility if the cloud base is obscured. The single-lens design also ensures reliable measurements in fog, rain, snow and haze.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44704,
            "uuid": "69dc2264eacd4e3ab95a55e481bf1ff0",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/land_surface_temperature/data/NOAA20_VIIRS",
            "numberOfFiles": 5097,
            "volume": 4813845377503,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43661,
                "uuid": "5a3b2face5604687b5bb9fd32fe96461",
                "short_code": "ob",
                "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from VIIRS (Visible Infrared Imaging Radiometer Suite) on NOAA-20  (National Oceanic and Atmospheric Administration), level 3 collated (L3C) global product (2018-2024), version 1.00",
                "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Visible Infrared Imaging Radiometer Suite (VIIRS) on NOAA-20. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the daytime and nighttime NOAA-20 equator crossing times which are 13:25 and 01:25 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. VIIRS achieves full Earth coverage twice per day. LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 5th January 2018 and continues to 31st December 2024. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a two channel Generalised Split Window retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe European Space Agency (ESA) funded the research and development of software to generate these data (ESA grant reference 4000123553/18/I-NB) in addition to funding the production of the data for 2012 to 2023. The data for 2024 and development of software for the production of the ICDR is funded by the UK Natural Environment Research Council (NERC grant reference number NE/X019071/1 Earth Observation Climate Information Service)."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44705,
            "uuid": "722d44f092f0457288d7b57c7062b14e",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/land_surface_temperature/data/SNPP_VIIRS",
            "numberOfFiles": 9346,
            "volume": 8875573053286,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 43654,
                "uuid": "511a4ab3100b4010aab910b5fdaa7c4e",
                "short_code": "ob",
                "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from VIIRS (Visible Infrared Imaging Radiometer Suite) on Suomi National Polar-orbiting Partnership (SNPP), level 3 collated (L3C) global product (2012-2024), version 1.00",
                "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Visible Infrared Imaging Radiometer Suite (VIIRS) on Suomi National Polar-orbiting Partnership (SNPP). Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening SNPP equator crossing times which are 13:25 and 01:25 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. VIIRS achieves full Earth coverage twice per day. LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 19th January 2012 and continues until 31st December 2024. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a two channel Generalised Split Window retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe European Space Agency (ESA) funded the research and development of software to generate these data (ESA grant reference 4000123553/18/I-NB) in addition to funding the production of the data for 2012 to 2023. The data for 2024 and development of software for the production of the ICDR is funded by the UK Natural Environment Research Council (NERC grant reference number NE/X019071/1 Earth Observation Climate Information Service)."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44710,
            "uuid": "f34401df4bf04f448bdd54b7125e16a9",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/eprofile/data/daily_files/austria/kolm-saigurn/zmag-vaisala-cl51_A",
            "numberOfFiles": 910,
            "volume": 2442881795,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44711,
                "uuid": "0e86cfc5c13347a58e9eccd432edd71c",
                "short_code": "ob",
                "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ZAMG's vaisala-cl51 instrument deployed at Kolm-Saigurn, Austria",
                "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Zentralanstalt für Meteorologie und Geodynamik (ZAMG)'s vaisala-cl51 deployed at Kolm-Saigurn, Austria.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11344.\r\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n    \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44713,
            "uuid": "eaa155cf4e9b4574ac8b4ce67f853c0b",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/eprofile/data/daily_files/austria/kufstein/zmag-vaisala-cl51_A",
            "numberOfFiles": 897,
            "volume": 2314059812,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44714,
                "uuid": "f59d0593340b4fcfbfda3994e3b2201f",
                "short_code": "ob",
                "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ZAMG's vaisala-cl51 instrument deployed at Kufstein, Austria",
                "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Zentralanstalt für Meteorologie und Geodynamik (ZAMG)'s vaisala-cl51 deployed at Kufstein, Austria.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11130.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n    \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44716,
            "uuid": "249bf6cc200446abaa242245b1b16302",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/eprofile/data/daily_files/austria/radstadt-tandalier/zmag-vaisala-cl51_A",
            "numberOfFiles": 908,
            "volume": 2339734698,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44717,
                "uuid": "709af1da730f4c2aaabfdc98ef8c20f4",
                "short_code": "ob",
                "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ZAMG's vaisala-cl51 instrument deployed at Radstadt Tandalier, Austria",
                "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Zentralanstalt für Meteorologie und Geodynamik (ZAMG)'s vaisala-cl51 deployed at Radstadt Tandalier, Austria.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11208.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n    \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44719,
            "uuid": "132ab389af1b41c7b871684074766f29",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/eprofile/data/daily_files/austria/wien-hohe-warte/zmag-vaisala-cl51_A",
            "numberOfFiles": 822,
            "volume": 2112901362,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44720,
                "uuid": "c16b4d0d06eb4c6c8dd5081e6cb38a98",
                "short_code": "ob",
                "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ZAMG's vaisala-cl51 instrument deployed at Wien Hohe Warte, Austria",
                "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Zentralanstalt für Meteorologie und Geodynamik (ZAMG)'s vaisala-cl51 deployed at Wien Hohe Warte, Austria.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11035.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n    \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 44722,
            "uuid": "ca40af92399742d081a135ac9d13e750",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/eprofile/data/daily_files/austria/wien-kendlerstrasse/zmag-vaisala-cl51_A",
            "numberOfFiles": 909,
            "volume": 2334986120,
            "fileFormat": "Data are netCDF formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 44723,
                "uuid": "227adeb19ed24b6c9268ae86e6f9f73a",
                "short_code": "ob",
                "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from ZAMG's vaisala-cl51 instrument deployed at Wien Kendlerstrasse, Austria",
                "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Zentralanstalt für Meteorologie und Geodynamik (ZAMG)'s vaisala-cl51 deployed at Wien Kendlerstrasse, Austria.\r\n\r\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\r\n\r\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-40-0-1092680.\r\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\r\n    \r\nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities."
            },
            "onlineresource_set": []
        }
    ]
}