Result List

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            "dataPath": "/badc/acsoe/data/hillcloud-96/hd",
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            "fileFormat": "The data files are NASA-Ames formatted.",
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                "uuid": "4707e112b350ec9cf1db71a1b133b828",
                "short_code": "ob",
                "title": "ACSOE ACE HILLCLOUD-96: Marine Boundary Layer Ammonia and Nitrogen Dioxide Data from Various Sites in Tenerife, Spain",
                "abstract": "Marine Boundary Layer Ammonia and Nitrogen Dioxide Data from Various Sites (categorised as hd) Tenerife, Spain collected as part of the HILLCLOUD-96 field campaign. The data were collected as part of the HILLCLOUD-96 experiment of the Atmospheric Chemistry Studies in the Oceanic Environment (ACSOE) Programme's Aerosol Characterisation Experiment (ACE) project. The HILLCLOUD experiments utilised a hill cap cloud which forms over a ridge on the north east of the island of Tenerife was used as a natural flow through reactor. The dataset contains the size distribution, size dependent chemical composition and hygroscopic properties of the marine and modified continental aerosol arriving at the North coast of the island."
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            "onlineresource_set": []
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            "ob_id": 12829,
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            "short_code": "result",
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            "dataPath": "/badc/acsoe/data/hillcloud-97/h3/",
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            "fileFormat": "The data files are NASA-Ames formatted.",
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                "ob_id": 2261,
                "uuid": "28439ba48d8b6f27820eb008ef69a34c",
                "short_code": "ob",
                "title": "ACSOE ACE HILLCLOUD-97: Marine Boundary Layer Aerosol Data from Paiba, Tenerife, Spain",
                "abstract": "Marine Boundary Layer Ammonia and Nitrogen Dioxide Data from Paiba, Tenerife, Spain, designated as h3 or Site 3, collected as part of the HILLCLOUD-97 field campaign. The data were collected as part of the HILLCLOUD-97 experiment of the Atmospheric Chemistry Studies in the Oceanic Environment (ACSOE) Programme's Aerosol Characterisation Experiment (ACE) project. The HILLCLOUD experiments utilised a hill cap cloud which forms over a ridge on the north east of the island of Tenerife was used as a natural flow through reactor. The dataset contains the size distribution, size dependent chemical composition and hygroscopic properties of the marine and modified continental aerosol arriving at the North coast of the island."
            },
            "onlineresource_set": []
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            "uuid": "6436f6c42742429aa963aa822d007cbd",
            "short_code": "result",
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            "dataPath": "/badc/acsoe/data/hillcloud-96/h2",
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            "fileFormat": "The data files are NASA-Ames formatted.",
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                "ob_id": 2227,
                "uuid": "5e2d0c0bc682cec3f970cbc1bfd126a7",
                "short_code": "ob",
                "title": "ACSOE ACE HILLCLOUD-96: Marine Boundary Layer Aerosol Data from El Bailadero, Tenerife, Spain",
                "abstract": "Marine Boundary Layer Ammonia and Nitrogen Dioxide Data from El Bailadero, Tenerife, Spain, designated as h2 or Site 2, collected as part of the HILLCLOUD-96 field campaign. The data were collected as part of the HILLCLOUD-96 experiment of the Atmospheric Chemistry Studies in the Oceanic Environment (ACSOE) Programme's Aerosol Characterisation Experiment (ACE) project. The HILLCLOUD experiments utilised a hill cap cloud which forms over a ridge on the north east of the island of Tenerife was used as a natural flow through reactor. The dataset contains the size distribution, size dependent chemical composition and hygroscopic properties of the marine and modified continental aerosol arriving at the North coast of the island."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 12838,
            "uuid": "2426c642c3cb488fba2e67cda99841b2",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/esacci/ghg/data/crdp_2/L2/GOSAT/CH4_GOS_SRPR/v2.3.6",
            "numberOfFiles": 1668,
            "volume": 3683093522,
            "fileFormat": "The data are stored in Netcdf format which can be read with standard tools in the common\r\nprogramming languages (IDL, Matlab, Python, Fortran90, C++, etc).",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 12837,
                "uuid": "623e56750f394a37aafafce42217e032",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): GOSAT CH4 Proxy Level 2 Data Product (CH4_GOS_SRPR), version 2.3.6, generated with the SRPR (RemoTeC) algorithm",
                "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project and the Climate Research Data Package Number 2 (CRDP#2), the XCH4 GOS SRPR (Proxy) product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for methane (CH4). The product has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT). \r\n\r\nThis proxy version of the product has been generated using the RemoTeC SRPR algorithm, which is being jointly developed at SRON and KIT. This has been designated as an 'alternative' GHG CCI algorithm, and a separate product has also been generated by applying the baseline GHG CCI proxy algorithm (the University of Leicester OCPR algorithm). The link to this product's record page is provided in the documentation section. However, it is advised that users who aren't sure whether to use the baseline or alternative product use the OCPR product generated with the baseline algorithm. For more information regarding the differences between the baseline and alternative algorithms please see the GHG-CCI data products webpage. \r\n\r\nThe data product is stored per day in a single NetCDF file. Retrieval results are provided for the individual GOSAT spatial footprints, no averaging having been applied. As well as containing the key product, the product file contains information relevant for the use of the data, such as the vertical layering and averaging kernels. The parameters which are retrieved simultaneously with XCH4 are also included (e.g. surface albedo), in addition to retrieval diagnostics like quality of the fit and retrieval errors. For further details on the product, including the RemoTeC algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents in the documentation section."
            },
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            "uuid": "f371ff4fb82a4b2180353121c6a109f3",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/armagh/data/air_temperature",
            "numberOfFiles": 7,
            "volume": 969295,
            "fileFormat": "Data are stored in a bespoke ASCII format. See linked documentation for further details.\r\n",
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            "observation": {
                "ob_id": 12841,
                "uuid": "41cc0455ec154e289ad8db189f80aaa2",
                "short_code": "ob",
                "title": "Armagh Observatory: Air Temperature observations from 1844-2004",
                "abstract": "Atmospheric temperature observations from the Armagh Observatory, founded in 1790 by Archbishop Richard Robinson. As well as astronomical observations various meteorological parameters have been recorded since 1794. If users wish to find data from other areas of work undertaken by the observatory they should visit the Armagh Observatory website."
            },
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            "uuid": "bac55be9e7764bf6808deb2727708e6d",
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            "fileFormat": "Data are stored in a bespoke ASCII format. See linked documentation for further details.\r\n",
            "storageStatus": "online",
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            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/armagh/data/rainfall",
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            "fileFormat": "Data are stored in a bespoke ASCII format. See linked documentation for further details.\r\n",
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            "observation": {
                "ob_id": 12843,
                "uuid": "2701244131b54da394cf540e8a8a5625",
                "short_code": "ob",
                "title": "Armagh Observatory: Rainfall observations from 1838-2001",
                "abstract": "Rainfall observations from the Armagh Observatory, founded in 1790 by Archbishop Richard Robinson. As well as astronomical observations various meteorological parameters have been recorded since 1794. If users wish to find data from other areas of work undertaken by the observatory they should visit the Armagh Observatory website."
            },
            "onlineresource_set": []
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        {
            "ob_id": 12847,
            "uuid": "8e23f0d8efca4a3d9d37fe626f3c33cb",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/armagh/data/soil_temperature/soil_temp_30cm",
            "numberOfFiles": 12,
            "volume": 391487,
            "fileFormat": "Data are stored in a bespoke ASCII format. See linked documentation for further details.\r\n",
            "storageStatus": "online",
            "storageLocation": "internal",
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            "observation": {
                "ob_id": 12846,
                "uuid": "caf4990b34ea4bb0ad90f8246ea1bde5",
                "short_code": "ob",
                "title": "Armagh Observatory: Soil temperature at 30cm observations from 1904-2003",
                "abstract": "Soil temperature observations from the Armagh Observatory, founded in 1790 by Archbishop Richard Robinson. As well as astronomical observations various meteorological parameters have been recorded since 1794. If users wish to find data from other areas of work undertaken by the observatory they should visit the Armagh Observatory website."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 12849,
            "uuid": "172d5549cf994fe7a337669ea248b878",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/armagh/data/soil_temperature/soil_temp_100cm",
            "numberOfFiles": 12,
            "volume": 393721,
            "fileFormat": "Data are stored in a bespoke ASCII format. See linked documentation for further details.\r\n",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 12848,
                "uuid": "8bb291ef5f0542f9b6dad34ffba318a2",
                "short_code": "ob",
                "title": "Armagh Observatory: Soil temperature at 100cm observations from 1904-2003",
                "abstract": "Soil temperature observations from the Armagh Observatory, founded in 1790 by Archbishop Richard Robinson. As well as astronomical observations various meteorological parameters have been recorded since 1794. If users wish to find data from other areas of work undertaken by the observatory they should visit the Armagh Observatory website."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 12851,
            "uuid": "3fb71131a15e4f37a3b094e24e0610f3",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/armagh/data/soil_temperature/mean_data",
            "numberOfFiles": 5,
            "volume": 37275,
            "fileFormat": "Data are stored in a bespoke ASCII format. See linked documentation for further details.\r\n",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 12850,
                "uuid": "29fb07518ce44784b5f8c0a0bd8e13a4",
                "short_code": "ob",
                "title": "Armagh Observatory: Mean Soil temperature observations from 1904-2003",
                "abstract": "Soil temperature observations from the Armagh Observatory, founded in 1790 by Archbishop Richard Robinson. As well as astronomical observations various meteorological parameters have been recorded since 1794. If users wish to find data from other areas of work undertaken by the observatory they should visit the Armagh Observatory website."
            },
            "onlineresource_set": []
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        {
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            "uuid": "5660eeec05e24620acdf1e6b8008b58e",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/armagh/data/sunshine",
            "numberOfFiles": 16,
            "volume": 302639,
            "fileFormat": "Data are stored in a bespoke ASCII format. See linked documentation for further details.\r\n",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 12852,
                "uuid": "237d69a8db484d129a7242b652ce6305",
                "short_code": "ob",
                "title": "Armagh Observatory: Hours of sunshine observations from 1850-2001",
                "abstract": "Sunshine observations from the Armagh Observatory, founded in 1790 by Archbishop Richard Robinson. As well as astronomical observations various meteorological parameters have been recorded since 1794. If users wish to find data from other areas of work undertaken by the observatory they should visit the Armagh Observatory website."
            },
            "onlineresource_set": []
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        {
            "ob_id": 12856,
            "uuid": "54e2a4a545f34d2c9d71092328d8ebc6",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/esacci/ghg/data/crdp_2/L2/SCIAMACHY/CH4_SCI_IMAP/v7.0",
            "numberOfFiles": 3110,
            "volume": 2078063821,
            "fileFormat": "The data are stored in Netcdf4 format, which can be read with standard tools in the common\r\nprogramming languages (IDL, Matlab, Python etc). Standard readers for HDF5 can also be used as netCDF4 is based on HDF5.",
            "storageStatus": "online",
            "storageLocation": "internal",
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            "observation": {
                "ob_id": 12855,
                "uuid": "91a09803bd5a42aeb5d3fd530409b15e",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): SCIAMACHY CH4 Level 2 Data Product (CH4_SCI_IMAP), version 7.0, generated with the IMAP-DOAS algorithm",
                "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project and the Climate Research Data Package Number 2 (CRDP#2), the XCH4 SCI product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for methane (CH4).  The product has been produced using data acquired from the SWIR spectra (channel 6) of the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's environmental research satellite ENVISAT. \r\n\r\nThis product has been derived by applying the IMAP-DOAS algorithm developed at the University of Heidelberg and SRON to the SCIAMACHY data. This procedure and the algorithms validity are thoroughly described in Frankenberg et al (2011), a link to which is provided in linked documentation. A second product has also been generated from the SCIAMACHY data using the Weighting Function Modified DOAS (WFM-DOAS) algorithm, and the link to this product's record page is provided in the documentation section. \r\n\r\nThe data product is stored per orbit in a single NetCDF4 file. Retrieval results are provided for the individual SCIAMACHY spatial footprints, no averaging having been applied. The product file contains the key products and information relevant to using the data, such as the vertical layering and averaging kernels. For further details on the product, including the IMAP algorithm and the SCIAMACHY instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Document in the documentation section."
            },
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            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/armagh/data/storminess",
            "numberOfFiles": 9,
            "volume": 202608,
            "fileFormat": "Data are stored in a bespoke ASCII format. See linked documentation for further details.\r\n",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 12854,
                "uuid": "6907baa0235f42498419d26c75caf067",
                "short_code": "ob",
                "title": "Armagh Observatory: Storminess observations from 1796-2000",
                "abstract": "Storminess observations from the Armagh Observatory, founded in 1790 by Archbishop Richard Robinson. As well as astronomical observations various meteorological parameters have been recorded since 1794. If users wish to find data from other areas of work undertaken by the observatory they should visit the Armagh Observatory website."
            },
            "onlineresource_set": []
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        {
            "ob_id": 12859,
            "uuid": "6c4d1c7625de431b8e88b2dc44115c69",
            "short_code": "result",
            "curationCategory": "",
            "dataPath": "/neodc/esacci/ghg/data/crdp_2/L2/SCIAMACHY/CH4_SCI_WFMD/v3.7",
            "numberOfFiles": 3211,
            "volume": 2754177044,
            "fileFormat": "The data are stored in NetCDF format (NetCDF-4 classic model) which can be read with standard tools in the common programming languages (IDL, Matlab, Python etc).\r\n",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 12857,
                "uuid": "5518ef811d4c45da9474056986c78cfd",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): SCIAMACHY CH4 Level 2 Data Product (CH4_SCI_WFMD), version 3.7, generated with the WFMD algorithm",
                "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project and the Climate Research Data Package Number 2 (CRDP#2), the XCH4 SCI product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for methane (CH4). The product has been produced using data acquired from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's environmental research satellite ENVISAT. \r\n\r\nThis product has been derived by applying the Weighting Function Modified DOAS (WFMD) algorithm to the SCIAMACHY data, a least-squares method based on scaling pre-selected atmospheric vertical profiles. A second product has also been generated from the SCIAMACHY data using the IMAP algorithm, and the link to this product's record page is provided in the documentation section. \r\n\r\nThe data product is stored per day in separate NetCDF-files (NetCDF-4 classic model). The product files contain the key products and other information relevant for the use of the data e.g. the averaging kernels. Note that the results since November 2005 are considered to be of reduced quality in comparison to the earlier results because the extended-wavelength part (1590-1770 nm) of SCIAMACHY's channel 6, covering the methane 2v3 absorption band used for the methane retrieval, is subject to irreversible displacement damage induced by high energy solar protons, which occurs from time to time at individual detector pixels. Therefore several affected detector pixels had to be excluded for the time period since November 2005. \r\n\r\nFor further information on the product, including details of the WFMD algorithm and the SCIAMACHY instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents in the documentation section"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 12861,
            "uuid": "853ac6bcae104b7eb8f8f7a2bcf7f075",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/esacci/ghg/data/crdp_2/L2/merged/CO2_EMMA/v2.0",
            "numberOfFiles": 3532,
            "volume": 284035131,
            "fileFormat": "The data are stored in Netcdf format which can be read with standard tools in the common\r\nprogramming languages (IDL, Matlab, Python, Fortran90, C++, etc).",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 12860,
                "uuid": "999f83c401fe4e47a0d3393b4c25c53f",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Merged CO2 Level 2 Data Product (CO2_EMMA), version 2.0, generated with the EMMA algorithm",
                "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG), the XCO2 EMMA product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for carbon dioxide (CO2). The product has been produced by applying the ensemble median algorithm EMMA to level 2 data of 7 XCO2 retrievals from the Japanese Greenhouse gases Observing Satellite (GOSAT) and the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's environmental research satellite ENVISAT.   This is therefore a merged SCIAMACHY and GOSAT XCO2 Level 2 product, primarily used as a comparison tool to assess the level of agreement / disagreement of the various input products (for model-independent global comparison, i.e. for comparisons not restricted to TCCON validation sites and independent of global model data). This version of the product covers 4 years.  \r\n\r\nFor further information on the product and the EMMA algorithm please see the EMMA website, the GHG-CCI Data Products webpage or the Product Validation and Intercomparison Report (PVIR) in the documentation section."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 12863,
            "uuid": "67753d8a48b748ada450a163acd43dbf",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/esacci/ghg/data/crdp_2/L2/GOSAT/CO2_GOS_OCFP/v5.2",
            "numberOfFiles": 1680,
            "volume": 1519903371,
            "fileFormat": "The data is stored in NetCDF format which can be read with standard tools in the common\r\nprogramming languages (IDL, Matlab, Python etc).",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 12862,
                "uuid": "130450cdf1034235aa2a5107dc513d81",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): GOSAT CO2 Level 2 Data Product (CO2_GOS_OCFP) version 5.2, generated with the OCFP (UoL-FP) algorithm",
                "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project, the XCO2 GOSAT product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for carbon dioxide (CO2). The product has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT). The University of Leicester Full-Physics Retrieval Algorithm has been applied to the TANSO-FTS data, based on the original Orbiting Carbon Observatory (OCO) Full Physics Retrieval Algorithm and modified for use on GOSAT spectra. A second product has also been generated from the data using the SRFP algorithm, and the link to this product's record page is provided in the documentation section. \r\n\r\nThe XCO2 product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. For further information, including details of the OCFP algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) in the documentation section or the Algorithm Theoretical Basis Document for version 5.1 of the product (no ATBD is yet available for version 5.2)."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 12865,
            "uuid": "697c1f876a0d4ae7bf438c4e83436791",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/esacci/ghg/data/crdp_2/L2/GOSAT/CO2_GOS_SRFP/v2.3.6",
            "numberOfFiles": 1663,
            "volume": 1644571693,
            "fileFormat": "The data are stored in Netcdf format which can be read with standard tools in the common\r\nprogramming languages (IDL, Matlab, Python etc).",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 12864,
                "uuid": "61424ae2a8364db2bb9cb077d644872e",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): GOSAT CO2 Level 2 Data Product (CO2_GOS_SRFP) version 2.3.6, generated with the SRFP (RemoTeC) algorithm",
                "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project and Climate Research Data Package Number 2 (CRDP#2), the XCO2 GOSAT product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for carbon dioxide (CO2). The product has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT). In this case, the RemoTeC Full Physics (SRFP) algorithm, jointly developed at SRON and KIT, has been applied to the TANSO-FTS data. A second product has also been generated from the data using the OCFP (University of Leicester Full Physics) algorithm, and the link to this product's record page can be found in the documentation section. \r\n\r\nThe data product is stored per day in a single NetCDF file. Retrieval results are provided for the individual GOSAT spatial footprints, no averaging having been applied. The product file contains the key standard products, i.e. the retrieved column averaged dry air mixing ratio XCO2 with bias correction, averaging kernels and quality flags, as well as secondary products specific for the RemoTeC algorithm. For further information, including details of the SRFP algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Document in the documentation section."
            },
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        },
        {
            "ob_id": 12869,
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            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/esacci/ghg/data/crdp_2/L2/SCIAMACHY/CO2_SCI_WFMD/v3.8",
            "numberOfFiles": 3332,
            "volume": 1523735640,
            "fileFormat": "The data are stored in NetCDF format (NetCDF-4 classic model) which can be read with standard tools in the common programming languages (IDL, Matlab, Python etc)",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 12868,
                "uuid": "ce524139de81430e840d9a33daab3385",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): SCIAMACHY CO2 Level 2 Data Product (CO2_SCI_WFMD), version 3.8, generated with the WFMD algorithm",
                "abstract": "Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project and the Climate Research Data Package Number 2 (CRDP#2), the WFMD XCO2 SCIAMACHY product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for carbon dioxide (CO2). The product has been produced using data acquired from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's environmental research satellite ENVISAT. \r\n\r\nThis product has been derived using the Weighting Function Modified DOAS (WFM-DOAS) algorithm, a least-squares method based on scaling pre-selected atmospheric vertical profiles.  Note that this has been designated as an 'alternative' algorithm for the GHG CCI, and another XCO2 product has also been generated from the SCIAMACHY data using the baseline algorithm (the Bremen Optimal Estimation DOAS (BESD) algorithm).  The link to this product's record page is provided in the documentation section. It is advised that users who aren't sure whether to use the baseline or alternative product use the product generated with the BESD baseline algorithm. For more information regarding the differences between baseline and alternative algorithms please see the GHG-CCI data products webpage provided in the documentation section. \r\n\r\nThe data product is stored per day in seperate NetCDF-files (NetCDF-4 classic model). The product files contain the key products, i.e. the retrieved column-averaged dry air mole fractions for XCO2, several other useful parameters and additional information relevant to using the data e.g. the averaging kernels. For further information on the product, including details of the WFMD algorithm, the SCIAMACHY instrument and issues associated with the data please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents in the documentation section."
            },
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        },
        {
            "ob_id": 12876,
            "uuid": "c49aa09e12d44a7bbc607bd4043083fa",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/ukmo-mrf/data/a475",
            "numberOfFiles": 6,
            "volume": 4436028,
            "fileFormat": "Data are NASA Ames formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 6360,
                "uuid": "6900f05d27321d54ed3bde031f670a1c",
                "short_code": "ob",
                "title": "MRF A475 ACSOE flight: Airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft",
                "abstract": "The Atmospheric Chemistry Studies in the Oceanic Environment (ACSOE) was a 5-year Natural Environment Research Council (NERC) programme on tropospheric chemistry coordinated by the University of East Anglia and involving research groups from a number of UK universities and research institutes.\r\n\r\nThe Meteorological Research Flight (MRF) was a Met Office facility, which flew a well-instrumented C-130 Hercules aircraft for atmospheric research purposes.\r\n\r\nThis dataset contains airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft flight A475 for the ACSOE project."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 12879,
            "uuid": "b01da7e7f8df4573a5f78c1a56e73922",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/ACTIVE/v02.1",
            "numberOfFiles": 8186,
            "volume": 4270526647,
            "fileFormat": "The data files are stored in NetCDF-4 classic format. ",
            "storageStatus": "online",
            "storageLocation": "internal",
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            "observation": {
                "ob_id": 12878,
                "uuid": "515df65d974541df82740062974212aa",
                "short_code": "ob",
                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): 'Active' Product, Version 02.1",
                "abstract": "The Soil Moisture CCI 'Active' dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) CCI project. The product has been created by fusing scatterometer soil moisture products, derived from the instruments AMI-WS and ASCAT. 'Passive' and 'Combined' products have also been created. The 'Passive' product is a fusion of radiometer data acquired by the SMMR, SSM/I, TMI, AMSR-E, WindSat, and AMSR2 satellite instruments. The 'Combined Product' is then a blended product based on the former two data sets.\r\n\r\nThe v02.1 Active product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It covers the period 1991-08-05 to 2013-12-31 and is expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document version 2.0 or the paper by Wagner 2012, both available in the documentation section. An overview of all known errors of the dataset is provided in the Comprehensive Error Characterization Report. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three following references:\r\n1. Liu, Y. Y., W. A. Dorigo, et al. (2012). \"Trend-preserving blending of passive and active microwave soil moisture retrievals.\" Remote Sensing of Environment 123: 280-297.\r\n2. Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., De Jeu, R. A. M., Wagner, W., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P. (2011). Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15, 425-436\r\n3. Wagner, W., W. Dorigo, R. de Jeu, D. Fernandez, J. Benveniste, E. Haas, M. Ertl (2012). Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), Volume I-7, XXII ISPRS Congress, Melbourne, Australia, 25 August-1 September 2012, 315-321"
            },
            "onlineresource_set": []
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        {
            "ob_id": 12883,
            "uuid": "84543724a1d84346b765f7235fc15a29",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/acsoe/data/lterm/macehead/",
            "numberOfFiles": 12,
            "volume": 324750,
            "fileFormat": "The data files are NASA-Ames formatted.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 12884,
                "uuid": "c8b8ff6fe0d147999e53169ab4a32d03",
                "short_code": "ob",
                "title": "ACSOE OXICOA LTERM: Chemical Climatology Data from Mace Head Atmospheric Research Centre",
                "abstract": "The Atmospheric Chemistry Studies in the Oceanic Environment (ACSOE) OXIdising Capacity of the Ocean Atmosphere (OXICOA) Long-Term Studies of chemical Climatology (LTERM) is the longer term studies of the Eastern Atlantic Spring/Summer Experiments (EASE-96 and EASE-97). The longer term data includes DMS, ozone and chemicals involved in its cycle, carbon and hydrocarbons."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 12885,
            "uuid": "d3278abda7a645dbb786ea07fbff968a",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/PASSIVE/v02.1",
            "numberOfFiles": 12846,
            "volume": 6055728403,
            "fileFormat": "The data files are stored in NetCDF-4 classic format. ",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 12881,
                "uuid": "a1ff285fb94c4c359269b1a12df957ec",
                "short_code": "ob",
                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): 'Passive' Product, Version 02.1",
                "abstract": "The Soil Moisture CCI Passive dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) CCI project. The product has been created by fusing scatterometer and radiometer soil moisture products, merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, and AMSR2 satellite instruments. 'Active' and 'Combined' products have also been created, the 'Active' product being a fusion of AMI-WS and ASCAT derived scatterometer and radiometer soil moisture products and the 'Combined Product' being a blended product based on the former two data sets. \r\n\r\nThe v02.1 Passive product presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The product is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2013-12-31. It consists of global daily images stored within yearly folders and are NetCDF-4 classic file formatted. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document version or the paper by Wagner 2012, both available in the documentation section. An overview of all known errors of the dataset is provided in the Comprehensive Error Characterization Report. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three following references:\r\n1. Liu, Y. Y., W. A. Dorigo, et al. (2012). \"Trend-preserving blending of passive and active microwave soil moisture retrievals.\" Remote Sensing of Environment 123: 280-297.\r\n2. Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., De Jeu, R. A. M., Wagner, W., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P. (2011). Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15, 425-436\r\n3. Wagner, W., W. Dorigo, R. de Jeu, D. Fernandez, J. Benveniste, E. Haas, M. Ertl (2012). Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), Volume I-7, XXII ISPRS Congress, Melbourne, Australia, 25 August-1 September 2012, 315-321"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 12891,
            "uuid": "833cbc399e0e4808b96f3cd1dd4057c3",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v02.1",
            "numberOfFiles": 12846,
            "volume": 6701540266,
            "fileFormat": "NetCDF-4 classic format. ",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 12886,
                "uuid": "2cc1cbc906444322845e6a51916a1f03",
                "short_code": "ob",
                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci):  'Combined' Product, Version 02.1",
                "abstract": "The Combined Soil Moisture CCI dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) CCI project. The product has been created by merging the \"Active\" and \"Passive\" datasets which were created for the project, these both being fusions of scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, and AMSR2 satellite instruments. \r\n\r\nThe v02.1 product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2013-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document version 2.0 or the paper by Wagner 2012, both available in the documentation section. An overview of all known errors associated with it is provided in the Comprehensive Error Characterization Report. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three following references:\r\n1. Liu, Y. Y., W. A. Dorigo, et al. (2012). \"Trend-preserving blending of passive and active microwave soil moisture retrievals.\" Remote Sensing of Environment 123: 280-297.\r\n2. Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., De Jeu, R. A. M., Wagner, W., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P. (2011). Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15, 425-436\r\n3. Wagner, W., W. Dorigo, R. de Jeu, D. Fernandez, J. Benveniste, E. Haas, M. Ertl (2012). Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), Volume I-7, XXII ISPRS Congress, Melbourne, Australia, 25 August-1 September 2012, 315-321"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 12910,
            "uuid": "eaacb3c7d6db456583d1f5a4084f746b",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/neodc/esacci/soil_moisture/data/ancillary/v02.1",
            "numberOfFiles": 6,
            "volume": 1584922,
            "fileFormat": "NetCDF-4 classic format. ",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 12890,
                "uuid": "4eec83c4bbec4c8ea873188d90fc243f",
                "short_code": "ob",
                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci):  Ancillary data used for the \"Active\", \"Passive\" and \"Combined\" products, Version 02.1",
                "abstract": "Ancillary datasets were used in the production of the \"Active\", \"Passive\" and \"Combined\" soil moisture data products, created as part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. The set of ancillary datasets include datasets of Average Vegetation Optical Depth data from AMSR-E, Soil Porosity, Topographic Complexity and Wetland fraction, as well as a Land Mask.  This version of the ancillary datasets were used in the production of the v02.1 Soil Moisture CCI data.\r\n\r\nFor further information on these and the references associated with them please see the Product Specification Document (PSD), a link to which is provided in linked documentation. The \"Active\" \"Passive\" and \"Combined\" soil moisture products which they were used in the development of are fusions of scatterometer and radiometer soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, and AMSR2 instruments. To access these products or for further details on them please see their dataset records. Additional reference documents and information relating to them can also be found on the CCI Soil Moisture project website or within the Product Specification Document."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 12929,
            "uuid": "12504f9a1a884b52a8fbfa8b6436079c",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/namblex/data/dcalm-gps-position/",
            "numberOfFiles": 4,
            "volume": 2564077,
            "fileFormat": "Data are NASA-Ames 1001 formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 7731,
                "uuid": "9a747f9131f45f538c8752dbfe36eb00",
                "short_code": "ob",
                "title": "NAMBLEX: Flight GPS Position Data for the NERC DO228-101 D-CALM Aircraft",
                "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX) campaign was conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. During this campaign a suite of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). This dataset consists of the GPS position data for the NERC DO228-101 D-CALM Aircraft. Flights took place on the 8th, 10th  and 12th August 2002."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 12933,
            "uuid": "e8478e940dbb4bb791515919cf142fc7",
            "short_code": "result",
            "curationCategory": "A",
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            "fileFormat": "Data are NASA-Ames 1001 formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 7643,
                "uuid": "96cb54e681d7ffdbfa95aca901e310ab",
                "short_code": "ob",
                "title": "NAMBLEX: Peroxy Radicals Measurements from the University of Leicester's PEroxy Radical Chemical Amplification (PERCA) instrument Deployed at the Mace Head Research Facility, Ireland",
                "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX) campaign was conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. The data contains the measurements of peroxy radicals from the University of Leicester's PEroxy Radical Chemical Amplification (PERCA) instrument."
            },
            "onlineresource_set": []
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        {
            "ob_id": 12934,
            "uuid": "039942a40589452484ff3966376a11d4",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/namblex/data/macehead-core",
            "numberOfFiles": 3,
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            "fileFormat": "Data are NASA-Ames 1001 formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 7605,
                "uuid": "97c4eb36193563ea8bc5b71f34ef9cbf",
                "short_code": "ob",
                "title": "NAMBLEX: O3, CO, CH4, H2 Measurements from the In-situ Mace Head Instruments Deployed at the Mace Head Research Facility, Ireland",
                "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX) campaign was conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. During this campaign a suite of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). This dataset consists of O3, CO, CH4, H2 measurements from the In-situ Mace Head Instruments."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 12935,
            "uuid": "ab824f22eaeb4585b129d44c0bd9387f",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/namblex/data/uea-gc-ms",
            "numberOfFiles": 2,
            "volume": 14749,
            "fileFormat": "Data are NASA-Ames 1001 formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 7673,
                "uuid": "f322a3caffa1447cf394fea36b803560",
                "short_code": "ob",
                "title": "NAMBLEX: Measurements of Halocarbons from the University of East Anglia's GC MS Deployed at the Mace Head Research Facility, Ireland",
                "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX) campaign was conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. During this campaign a suite of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). This dataset consists of measurements of halocarbons from the University of East Anglia's Gas Chromatograph - Mass Spectrometer (GC MS)."
            },
            "onlineresource_set": []
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        {
            "ob_id": 12936,
            "uuid": "b030aa3640224ed5b8a25d4bdf4dff8b",
            "short_code": "result",
            "curationCategory": "A",
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            "fileFormat": "Data are NASA-Ames 1001 formatted",
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                "ob_id": 7676,
                "uuid": "b1a50f6428e9c3f3ed20425b67e30118",
                "short_code": "ob",
                "title": "NAMBLEX: Alkyl Nitrate Measurements from the University of East Anglia's Gas Chromatography Negative Ion Chemical Ionisation Mass Spectrometry Deployed at the Mace Head Research Facility, Ireland",
                "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX) campaign was conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. During this campaign a suite of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). This dataset consists of alkyl nitrate measurements from the University of East Anglia's Gas Chromatography Negative Ion Chemical Ionisation Mass Spectrometry (GC-NICI-MS)."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 12937,
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            "short_code": "result",
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            "dataPath": "/badc/namblex/data/uea-hcho",
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            "observation": {
                "ob_id": 7679,
                "uuid": "311d6481c8db2c2cba96acb98b284bae",
                "short_code": "ob",
                "title": "NAMBLEX: Folmaldehyde Measurements from the University of East Anglia's Fluorometric Detector Deployed at the Mace Head Research Facility, Ireland",
                "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX) campaign was conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. During this campaign a suite of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). This dataset consists of formaldehyde measurements from the University of East Anglia's Fluorometer."
            },
            "onlineresource_set": []
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        {
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            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/namblex/data/uea-noxy",
            "numberOfFiles": 38,
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            "fileFormat": "Data are NASA-Ames 1001 formatted",
            "storageStatus": "online",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 7682,
                "uuid": "b12570ef233417673b98a4aa194ddb06",
                "short_code": "ob",
                "title": "NAMBLEX: Measurements of NO, NO2, NOy and HNO3 Concentrations from the University of East Anglia's NOxy 4 Channel NO, NO2, NOy, NOy* Chemiluminescence Analyser Deployed at the Mace Head Research Facility, Ireland",
                "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX) campaign was conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. During this campaign a suite of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). This dataset consists of NO, NO2, NOy and HNO3 measurements from the University of East Anglia NOxy 4 channel NO, NO2, NOy, NOy* Chemiluminescence Analyser."
            },
            "onlineresource_set": []
        },
        {
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            "uuid": "5494842e2c744ad5ba775e21b8e7eb78",
            "short_code": "result",
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            "volume": 27111,
            "fileFormat": "Data are NASA-Ames 1001 formatted",
            "storageStatus": "online",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 7690,
                "uuid": "5f81251291fd4e55de6e326303be28d9",
                "short_code": "ob",
                "title": "NAMBLEX: Ambient Aerosol Measurements from the UMIST's Aerosol Mass Spectrometer (AMS) Deployed at the Mace Head Research Facility, Ireland",
                "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX) campaign was conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. During this campaign a suite of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). This dataset contains measurements of ambient aerosol concentration from the University of Manchester Institute of Science and Technology's (UMIST) Aerosol Mass Spectrometer (AMS), now University of Manchester/UFAM's AMS."
            },
            "onlineresource_set": []
        },
        {
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                "abstract": "Met Office high resolution (2 second) radiosonde data from the Albemarle, Northumbria, from 2002 to present. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km."
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                "abstract": "Met Office high resolution (2 second) radiosonde data from the Aughton station near Liverpool, UK, from 1990 to 1996. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km."
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                "abstract": "Met Office high resolution (2 second) radiosonde data from the Dunkerswell station from November 1999. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km."
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                "abstract": "Met Office high resolution (2 second) radiosonde data from the Hillsborough station from 1990 to 2002. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km."
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                "title": "Met Office Shanwell station high resolution radiosonde data",
                "abstract": "Met Office high resolution (2 second) radiosonde data from the Shanwell station from 1990 to 1992. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km."
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                "title": "Met Office South Uist station high resolution radiosonde data",
                "abstract": "Met Office high resolution (2 second) radiosonde data from the South Uist station from 1999 to present. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km."
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                "title": "Met Office Stornoway station high resolution radiosonde data",
                "abstract": "Met Office high resolution (2 second) radiosonde data from the Stornoway station from 1990 to 2001. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km."
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                "title": "Met Office Watnall station high resolution radiosonde data",
                "abstract": "Met Office high resolution (2 second) radiosonde data from the Watnall station from 2000 to 2013. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km."
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                "title": "Met Office West Freugh station high resolution radiosonde data",
                "abstract": "Met Office high resolution (2 second) radiosonde data from the West Freugh station from 1994 to 1996. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km."
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                "title": "Met Office West Freugh station number 2 high resolution radiosonde data",
                "abstract": "Met Office high resolution (2 second) radiosonde data from the West Freugh station number 2 from 2001 to 2002. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km."
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                "title": "Met Office Woodvale station high resolution radiosonde data",
                "abstract": "Met Office high resolution (2 second) radiosonde data from the Woodvale station, near Liverpool, from 2000 to 2001. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km."
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            "oldDataPath": [],
            "observation": {
                "ob_id": 13098,
                "uuid": "5a226b1468ca4fc1ace5e76815a1a4de",
                "short_code": "ob",
                "title": "ISLSCP - I, Volume 1: Vegetation data",
                "abstract": "This CD-ROM set contains the Volume 1 vegetation data collection. The data covers a 24 month period, 1987-1988, and all but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). \r\nThis dataset contains data covering:\r\n * Background (soil/litter layer) reflectances\r\n * Fraction of Photosynthetically Active radiation absorbed by the green vegetation canopy (FPAR)\r\n * Fourier-Adjustment, Solar zenith angle corrected, Interpolated Reconstructed (FASIR) normalized   difference vegetation index (NDVI)\r\n * Percentage green leaf area of total leaf area\r\n * Total Leaf Area Index (LAI) \r\n * Normalized Difference Vegetation index (NDVI)  \r\n * Roughness length (Zo)  \r\n * Calculated snow-free albedo  \r\n * Global land cover classification from satellite data\r\n"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 13097,
            "uuid": "344ad7c50a9f4d6c83a823077434411d",
            "short_code": "result",
            "curationCategory": "C",
            "dataPath": "/badc/CDs/islscp/islscp_v1/data/sn_icsst",
            "numberOfFiles": 178,
            "volume": 39009866,
            "fileFormat": "Data are plain ASCII formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13094,
                "uuid": "76bbadb3aa4843c4bcdc32039149b0aa",
                "short_code": "ob",
                "title": "ISLSCP - I, Volume 1: Snow, Ice, and Oceans data",
                "abstract": "This CD-ROM set contains the volume 1 Snow, Ice, and Oceans  data collection. The data covers a 24 month period, 1987-1988, and all but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). \r\nThis dataset contains data covering:\r\n*Global snow depth                          \r\n*Sea surface temperature                  \r\n*Weekly Northern Hemisphere snow cover    \r\n*NMC/ECMWF Reanalysis sea ice              \r\n"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 13100,
            "uuid": "b43386027bc34584b99024d51f8427a1",
            "short_code": "result",
            "curationCategory": "C",
            "dataPath": "/badc/CDs/islscp/islscp_v1/data/radiatn/",
            "numberOfFiles": 1413,
            "volume": 209975750,
            "fileFormat": "Data are plain ASCII formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13099,
                "uuid": "9d51caf503fc4237a01b6242e4258503",
                "short_code": "ob",
                "title": "ISLSCP - I, Volume 1: Radiation and Clouds data",
                "abstract": "This CD-ROM set contains the Volume 1 Radiation and Clouds data collection. The data covers a 24 month period, 1987-1988, and all but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). \r\nThis dataset contains data covering:\r\n*Monthly cloud products (C2)         \r\n*ERBE S4 clear-sky albedo     \r\n*Surface and top of atmosphere (TOA) shortwave and photosynthetically active radiation (PAR) fluxes\r\n*Surface shortwave and longwave radiation fluxes\r\n"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 13102,
            "uuid": "7f0fcf312d9f4014b423fc9bfecca8de",
            "short_code": "result",
            "curationCategory": "C",
            "dataPath": "/badc/CDs/islscp/islscp_v1/data/misc/",
            "numberOfFiles": 4,
            "volume": 910057,
            "fileFormat": "Data are plain ASCII formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13101,
                "uuid": "5f70800ff32c42fb86d6ed86efd4f092",
                "short_code": "ob",
                "title": "ISLSCP - I, Volume 1: Near-Surface Meteorology data",
                "abstract": "This CD-ROM set contains the Volume 1 Near-Surface Meteorology data collection. The data covers a 24 month period, 1987-1988, and all but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). \r\nThis dataset contains data covering:\r\n * Near-surface meteorological analyses and hybrid products              \r\n * Total and convective precipitation         "
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 13103,
            "uuid": "41eb556db9f743e583fc2a78278f8913",
            "short_code": "result",
            "curationCategory": "C",
            "dataPath": "/badc/CDs/islscp/islscp_v2/",
            "numberOfFiles": 6928,
            "volume": 514233713,
            "fileFormat": "Data are plain ASCII formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 4060,
                "uuid": "2a05fa3b540026a65d8fad14870c938a",
                "short_code": "ob",
                "title": "ISLSCP - I, Volume 2:  Near-surface meteorological analyses",
                "abstract": "This CD-ROM set contains the Volume 2  Near-surface meteorological analyses data collection. The data covers a 24 month period, 1987-1988, and all but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). \r\nThis dataset contains data covering Near-surface meteorological analyses and hybrid products"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 13104,
            "uuid": "e8c6ed36b002417d922ba5788ac33546",
            "short_code": "result",
            "curationCategory": "C",
            "dataPath": "/badc/CDs/islscp/islscp_v3/",
            "numberOfFiles": 5960,
            "volume": 533779152,
            "fileFormat": "Data are plain ASCII formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 4052,
                "uuid": "7f466c415e5819098ffcae0bda7d91de",
                "short_code": "ob",
                "title": "ISLSCP - I, Volume 3: Near-surface meteorological analyses",
                "abstract": "This CD-ROM set contains the Volume 3 Near-surface meteorological analyses data collection. The data covers a 24 month period, 1987-1988, and all but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). \r\nThis dataset contains data covering Near-surface meteorological analyses and hybrid productsublic."
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 13105,
            "uuid": "abab80050e364105b5e6252d2c2e02e8",
            "short_code": "result",
            "curationCategory": "C",
            "dataPath": "/badc/CDs/islscp/islscp_v4/",
            "numberOfFiles": 5959,
            "volume": 535587142,
            "fileFormat": "Data are plain ASCII formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 4069,
                "uuid": "b9c3effaab9fe9a2206b58af500f157d",
                "short_code": "ob",
                "title": "ISLSCP - I, Volume 4: Near-surface meteorological analyses",
                "abstract": "This CD-ROM set contains the Volume 4 Near-surface meteorological analyses data collection. The data covers a 24 month period, 1987-1988, and all but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). \r\nThis dataset contains data covering Near-surface meteorological analyses and hybrid products"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 13106,
            "uuid": "becd6ea57da04d45811238126ca35bdc",
            "short_code": "result",
            "curationCategory": "C",
            "dataPath": "/badc/CDs/islscp/islscp_v5/",
            "numberOfFiles": 11900,
            "volume": 595243143,
            "fileFormat": "Data are plain ASCII formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 4039,
                "uuid": "8e997b2785defec544ca9473e84d4b40",
                "short_code": "ob",
                "title": "ISLSCP - I, Volume 5:  Near-surface meteorological analyses and Total and convective precipitation",
                "abstract": "This CD-ROM set contains the Volume 5  Near-surface meteorological analyses and Total and convective precipitation data collection. The data covers a 24 month period, 1987-1988, and all but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). \r\nThis dataset contains data covering Near-surface meteorological analyses, hybrid products and total and convective precipitation"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 13107,
            "uuid": "781f936e22414e9a967ac5375d31d0c0",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/snowdon-gnss/data/snowdon-snlb",
            "numberOfFiles": 101,
            "volume": 1650029509,
            "fileFormat": "Files are in RINEX format. See documents for more information.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13064,
                "uuid": "38785e3d2736475e9db984481758fb66",
                "short_code": "ob",
                "title": "Snowdon Mountain Railway Global Navigation Satellite Systems (GNSS): surface meteorological and GPS data from the base of the railway at Llanberis, North Wales",
                "abstract": "This dataset contains Global Navigation Satellite Systems (GNSS) and meteorological data from a static reference station at the base of the Snowdon Mountain Railway at Llanberis (SNLB). \r\n\r\nThe data were collected from 28th August 2011 to 16th October 2011 (50 days). \r\n\r\nTwo instruments collected data from the base including; Paroscientific Met 4 (ncl-met-4) and Leica GS10 GNSS (ncl-leica-gnss). The ncl-leica-gnss measured dual frequency GPS and GLONASS code and carrier phase satellite to receiver measurements, whilst the ncl-met-4 sensor recorded pressure and temperature. \r\n\r\n"
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 13108,
            "uuid": "c3cfd09bc35b4c4e9d66d52a96de2ef7",
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            "curationCategory": "A",
            "dataPath": "/badc/snowdon-gnss/data/snowdon-sntr",
            "numberOfFiles": 91,
            "volume": 736188996,
            "fileFormat": "Files are in RINEX format. See documents for more information. ",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13066,
                "uuid": "b4b1918baf664d6da3e9507f0c57a28e",
                "short_code": "ob",
                "title": "Snowdon Mountain Railway Global Navigation Satellite Systems (GNSS): surface meteorological and GPS data from a moving train on Snowdon, North Wales",
                "abstract": "This dataset contains Global Navigation Satellite Systems (GNSS) and meteorological data from instruments mounted on a train of the Snowdon Mountain Railway (SNTR) as it travelled up and down the mountain. \r\n\r\nThe data were collected from 28th August 2011 to 16th October 2011 (50 days). \r\n\r\nTwo instruments collected data from the summit including; Paroscientific 745 (ncl-paro-745) and Leica GS10 GNSS (ncl-leica-gnss). The ncl-leica-gnss measured dual frequency GPS and GLONASS code and carrier phase satellite to receiver measurements, whilst the ncl-paro-745 sensor recorded pressure data. \r\n"
            },
            "onlineresource_set": []
        },
        {
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            "uuid": "70942a80dff846079d5470cf71a4ca1a",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/snowdon-gnss/data/snowdon-snsu",
            "numberOfFiles": 101,
            "volume": 1706738044,
            "fileFormat": "Files are in RINEX format. See documents for more information.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13065,
                "uuid": "67b7a894ddee4b4b93daa65f9a4e9030",
                "short_code": "ob",
                "title": "Snowdon Mountain Railway Global Navigation Satellite Systems (GNSS): surface meteorological and GPS data from the summit of the railway at Snowdon, North Wales",
                "abstract": "This dataset contains Global Navigation Satellite Systems (GNSS) and meteorological data from instruments at a static reference station at the summit (SNSU) of Snowdon Mountain Railway. \r\n\r\nThe data were collected from 28th August 2011 to 16th October 2011 (50 days). \r\n\r\nTwo instruments collected data from the summit including; Paroscientific Met 4 (ncl-met-4) and Leica GS10 GNSS (ncl-leica-gnss). The ncl-leica-gnss measured dual frequency GPS and GLONASS code and carrier phase satellite to receiver measurements, whilst the ncl-met-4 sensor recorded pressure and temperature. "
            },
            "onlineresource_set": []
        },
        {
            "ob_id": 13113,
            "uuid": "dfebd577a7b3430ab353a720832dfb56",
            "short_code": "result",
            "curationCategory": "B",
            "dataPath": "/neodc/esa_globsnow/data/v2.0/L3A_daily",
            "numberOfFiles": 6469,
            "volume": 40453900070,
            "fileFormat": "The SWE products are distributed in NetCDF-4 classic format, following the CF-1.6 convention: a single file contains the data for a single variable on the date given in the file name.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13112,
                "uuid": "552cdad62fd14f54ba8ddbab38977cbc",
                "short_code": "ob",
                "title": "European Space Agency (ESA) GlobSnow Snow Water Equivalent (SWE) v2.0 L3A Daily data (1979-2013)",
                "abstract": "The ESA funded GlobSnow project produced snow water equivalent (SWE) daily estimates for the Northern Hemisphere for the years 1978-2014. \r\n\r\nSWE describes the amount of liquid water in the snow pack that would be formed if the snow pack was completely melted. \r\n\r\nThe SWE product shall cover the Northern Hemisphere, excluding the mountainous areas, Greenland, the glaciers and snow on ice (lakes/seas/oceans).\r\n\r\nThe spatial resolution of the product is 25 km on EASE-grid projection. \r\n\r\nConstruction of the 30 years historical data set will be carried out using SMMR, SSM/I and SSMI/S data along with ground-based weather station data. The data are utilized for the different years as follows:\r\n\r\n1979/09/11 - 1987/10/30 SMMR (Scanning Multichannel Microwave Radiometer onboard Nimbus-7 satellite)\r\n1987/11/01 - 2008/12/31 SSM/I (Special Sensor Microwave/Imager onboard the DMSP satellite series F8/F11/F13)\r\n2009/01/01 - present SSM/I(S) (Special Sensor Microwave/Imager (Sounder) onboard the DMSP satellite series F17/F18/)\r\n\r\nThese data may be redistributed and used without restriction."
            },
            "onlineresource_set": [
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        },
        {
            "ob_id": 13116,
            "uuid": "2d2e0e6207b54839a2c6f3ba686feeb4",
            "short_code": "result",
            "curationCategory": "B",
            "dataPath": "/neodc/esa_globsnow/data/v2.0/L3B_7day_mean",
            "numberOfFiles": 3604,
            "volume": 22530555738,
            "fileFormat": "The SWE products are distributed in NetCDF-4 classic format, following the CF-1.6 convention: a single file contains the data for a single variable on the date given in the file name.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13115,
                "uuid": "0710e8e5e584473fb292bb69b7fbf8a7",
                "short_code": "ob",
                "title": "European Space Agency (ESA) GlobSnow Snow Water Equivalent (SWE) v2.0 L3B Weekly aggregated data (1979-1994)",
                "abstract": "The ESA funded GlobSnow project produced snow water equivalent (SWE) 7-day estimates for the Northern Hemisphere for the years 1979-2013. \r\n\r\nSWE describes the amount of liquid water in the snow pack that would be formed if the snow pack was completely melted.  Weekly Aggregated Snow Water Equivalent (Weekly L3B SWE) were calculated for each day based on a 7-day sliding time window aggregation of the daily SWE product.\r\n\r\nThe SWE product shall cover the Northern Hemisphere, excluding the mountainous areas, Greenland, the glaciers and snow on ice (lakes/seas/oceans)\r\n\r\nThe spatial resolution of the product is 25 km on EASE-grid projection. \r\n\r\nConstruction of the 30 years historical data set will be carried out using SMMR, SSM/I and SSMI/S data along with ground-based weather station data. The data are utilized for the different years as follows:\r\n\r\n1979/09/11 - 1987/10/30 SMMR (Scanning Multichannel Microwave Radiometer onboard Nimbus-7 satellite)\r\n1987/11/01 - 2008/12/31 SSM/I (Special Sensor Microwave/Imager onboard the DMSP satellite series F8/F11/F13)\r\n2009/01/01 - present SSM/I(S) (Special Sensor Microwave/Imager onboard the DMSP satellite series F17/F18/)\r\n\r\nThese data may be redistributed and used without restriction."
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        },
        {
            "ob_id": 13117,
            "uuid": "136c524b7bcb4bceb392a0f1b354a1ab",
            "short_code": "result",
            "curationCategory": "B",
            "dataPath": "/neodc/esa_globsnow/data/v2.0/L3B_monthly",
            "numberOfFiles": 328,
            "volume": 2045234092,
            "fileFormat": "The SWE products are distributed in NetCDF-4 classic format, following the CF-1.6 convention: a single file contains the data for a single variable on the date given in the file name.",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13114,
                "uuid": "08fc9775b3954a719d4f093b59cf194d",
                "short_code": "ob",
                "title": "European Space Agency (ESA) GlobSnow Snow Water Equivalent (SWE) v2.0 L3B Monthly data (1979-2013)",
                "abstract": "The ESA funded GlobSnow project produced snow water equivalent (SWE) monthly estimates for the Northern Hemisphere for the years 1979-2013. \r\n\r\nSWE describes the amount of liquid water in the snow pack that would be formed if the snow pack was completely melted. \r\n\r\nThe monthly aggregate, a single product for each month, is calculated by determining the mean and the maximum of the weekly SWE samples.\r\n\r\nThe SWE product shall cover the Northern Hemisphere, excluding the mountainous areas, Greenland, the glaciers and snow on ice (lakes/seas/oceans).\r\n\r\nThe spatial resolution of the product is 25 km on EASE-grid projection. \r\n\r\nConstruction of the 30 years historical data set will be carried out using SMMR, SSM/I and SSMI/S data along with ground-based weather station data. The data are utilized for the different years as follows:\r\n\r\n1979/09/11 - 1987/10/30 SMMR (Scanning Multichannel Microwave Radiometer onboard Nimbus-7 satellite)\r\n1987/11/01 - 2008/12/31 SSM/I (Special Sensor Microwave/Imager onboard the DMSP satellite series F8/F11/F13)\r\n2009/01/01 - present SSM/I(S) (Special Sensor Microwave/Imager (Sounder) onboard the DMSP satellite series F17/F18/)\r\n\r\nThese data may be redistributed and used without restriction."
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        },
        {
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            "uuid": "c3b53b1aaf734befbbe51fe8016d1786",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/specs/data/SPECS/output/CNRM/CNRM-CM5-HRA-HRO/horizlResImpact",
            "numberOfFiles": 28561,
            "volume": 83864362032,
            "fileFormat": "NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 12354,
                "uuid": "5b62f5050350429191f8300d6be24924",
                "short_code": "ob",
                "title": "SPECS - CNRM-CM5-HRA-HRO model output prepared for SPECS horizlResImpact (1993-2009)",
                "abstract": "This dataset includes the CNRM-CM5-HRA-HRO model output prepared for SPECS horizlResImpact (1993-2009). These data were prepared by the Centre National de Recherches Meteorologiques, as part of the SPECS project. Model id is CNRM-CM5-HRA-HRO, frequency is daily, associated model is atmo HR ocean HR. Arpege V5.1 is the underlying model (CNRM-CM5 2013 atmosphere:Arpege (tl359l31r); ocean:Nemo (Orca0.25); sea-ice:none; land:isba).\r\n\r\nvariables available are:\r\n - Precipitation flux (pr) in kg m-2 s-1\r\n - Air Temperature (tas) in degree Kelvin\r\n - Geopotential height (zg) in metres\r\n\r\n"
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            "uuid": "c2bee7c3df574e00a7c45a2bc4d72fd0",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/specs/data/SPECS/output/CNRM/CNRM-CM5-HRA-LRO/horizlResImpact/",
            "numberOfFiles": 57121,
            "volume": 127151030445,
            "fileFormat": "NetCDF4",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13120,
                "uuid": "ca85cfb32226477f80b2f79977c51044",
                "short_code": "ob",
                "title": "SPECS - CNRM-CM5-HRA-LRO model output prepared for SPECS horizlResImpact (1993-2009)",
                "abstract": "This dataset includes the CNRM-CM5-HRA-LRO model output prepared for SPECS horizlResImpact (1993-2009). These data were prepared by the Centre National de Recherches Meteorologiques, as part of the SPECS project. Model id is CNRM-CM5-HRA-LRO, frequency is daily, associated model is atmo HR ocean LR. Arpege V5.1 is the underlying model (CNRM-CM5 2013 atmosphere:Arpege (tl359l31r); ocean:Nemo (Orca1); sea-ice:none; land:isba).\r\n\r\nvariables available are:\r\n - Precipitation flux (pr) in kg m-2 s-1\r\n - Air Temperature (tas) in deg K\r\n - Max Air temperature (tasmax) deg K\r\n - Min Air temperature (tasmin) deg K\r\n - Geopotential height (zg) in metres\r\n - Air Pressure at sea level (psl) in Pa\r\n\r\n"
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        },
        {
            "ob_id": 13123,
            "uuid": "6915227b67604735a61f4c0a7d46f7f9",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/specs/data/SPECS/output/CNRM/CNRM-CM5-LRA-LRO/horizlResImpact/",
            "numberOfFiles": 57121,
            "volume": 163633200951,
            "fileFormat": "NetCDF4",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 13122,
                "uuid": "ab011f7d6d07448babf610c22d353dea",
                "short_code": "ob",
                "title": "SPECS - CNRM-CM5-LRA-LRO model output prepared for SPECS horizlResImpact (1993-2009)",
                "abstract": "This dataset includes the CNRM-CM5-LRA-LRO model output prepared for SPECS horizlResImpact (1993-2009). These data were prepared by the Centre National de Recherches Meteorologiques, as part of the SPECS project. Model id is CNRM-CM5-LRA-LRO, frequency is daily, associated model is atmo LR ocean LR. Arpege V5.1 is the underlying model (CNRM-CM5 2013 atmosphere:Arpege (tl127l31r); ocean:Nemo (Orca1); sea-ice:none; land:isba).\r\n\r\nvariables available are:\r\n - Precipitation flux (pr) in kg m-2 s-1\r\n - Air Temperature (tas) in deg K\r\n - Max Air temperature (tasmax) deg K\r\n - Min Air temperature (tasmin) deg K\r\n - Geopotential height (zg) in metres\r\n - Air Pressure at sea level (psl) in Pa\r\n\r\n"
            },
            "onlineresource_set": [
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            ]
        },
        {
            "ob_id": 13124,
            "uuid": "7975dad726444f6eb923be18381b1386",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/specs/data/SPECS/output/CNRM/CNRM-CM5/seaIceInit",
            "numberOfFiles": 73019,
            "volume": 318989490982,
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                "uuid": "57f5fd7e369e4467a56f0f227060cd44",
                "short_code": "ob",
                "title": "SPECS - CNRM-CM5 model output prepared for SPECS seaIceInit (1979-2012)",
                "abstract": "This dataset includes the CNRM-CM5 model output prepared for SPECS seaIceInit (1979-2012). These data were prepared by the Centre National de Recherches Meteorologiques, as part of the SPECS project. \r\n\r\nThe model used is CNRM-CM, combining ARPEGEv6.0.3 + NEM0v3.2 + GELATO6.0.1 + SURFEX7.2, frequency is monthly.\r\n\r\nAtmospheric variables are:\r\nclt  evlwr  hfls  hfss  hus  mrro  mrso  pr  prsn  psl  rlds  rls  rlut  rsds  rsdt  rss  ta  tas  tasmax  tasmin  tauu  tauv  ua  uas  va  vas  zg\r\n\r\nOceanic variables are:\r\nhfnorth  mlotst  msftmyz  msftmyza  msftmyzba  sltnorth  so  t20d  thetao  tos  uo  vo\r\n\r\nSeaIce variables are:\r\nsic  sit  snld  strairx  strairy  tsice  usi  vsi\r\n\r\n"
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                "ob_id": 13125,
                "uuid": "c8ad5318601348c38d4a032f879a265f",
                "short_code": "ob",
                "title": "SPECS - CNRM-CM5 model output prepared for SPECS snowInit (1991-2012)",
                "abstract": "This dataset includes the CNRM-CM5 model output prepared for SPECS snowInit (1991-2012). These data were prepared by the Centre National de Recherches Meteorologiques, as part of the SPECS project. \r\n\r\nModel id is CNRM-CM5, frequency is daily, associated model is atmo HR ocean HR. Arpege V5.1 is the underlying model, 31 vertical levels (CNRM-CM5 2013 atmosphere:Arpege (tl127l91r); ocean:Nemo (Orca1); sea-ice:Gelato; land:isba.\r\n\r\nAtmospheric variables are:\r\nhfls  hfss  pr  psl  rlds  rls  rsds  rss  ta  tas  tasmax  tasmin  zg\r\n\r\n"
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            "uuid": "9477f2c28bcb45489c490aab2ebe7195",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/specs/data/SPECS/output/CNRM/CNRM-CM5/soilMoistureInit",
            "numberOfFiles": 51481,
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            "oldDataPath": [],
            "observation": {
                "ob_id": 13127,
                "uuid": "94a0710c928e4f868e7b6e50e3dbf44c",
                "short_code": "ob",
                "title": "SPECS - CNRM-CM5 model output prepared for SPECS SoilMoistureInit (1991-2012)",
                "abstract": "This dataset includes the CNRM-CM5 model output prepared for SPECS SoilMoistureInit (1991-2012). These data were prepared by the Centre National de Recherches Meteorologiques, as part of the SPECS project. \r\n\r\nModel id is CNRM-CM5, frequency is daily. Arpege V5.1 is the underlying model, 31 vertical levels (CNRM-CM5 2013 atmosphere:Arpege (tl127l91r); ocean:Nemo (Orca1); sea-ice:Gelato; land:isba.\r\n\r\nAtmospheric variables are:\r\nhfls  hfss  pr  psl  rlds  rls  rsds  rss  ta  tas  tasmax  tasmin  zg\r\n\r\n\r\n"
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            "short_code": "result",
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            "dataPath": "/badc/specs/data/SPECS/output/CNRM-CERFACS/CERFACS-HR/horizlResImpact/",
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            "observation": {
                "ob_id": 13129,
                "uuid": "9691e341cf124ad7bad2b82095dde60b",
                "short_code": "ob",
                "title": "SPECS - CERFACS-HR model output prepared for SPECS horizlResImpact (1993-2009)",
                "abstract": "This dataset includes the CERFACS-HR model output prepared for SPECS horizlResImpact (1993-2009). These data were prepared by the European Centre for Research and Advanced Training in Scientific Computation (CERFACS), as part of the SPECS project. \r\n\r\nModel id is CERFACS-HR (atmosphere: ARPEGE v5.3; ocean: NEMO v3.4 including LIM2 sea-ice; coupler: OASIS3-MCT v2.0\" ), frequency is daily and monthly. \r\n\r\nDaily Atmospheric variables are:\r\nsnld\r\n\r\nDaily Ocean variables:\r\nmlotst  t20d\r\n\r\nDaily sea ice variables:\r\nsic tsice\r\n\r\nMonthly sea ice variables:\r\nsic  sit  snld  strairx  strairy  tsice  usi  vsi\r\n\r\nMonthly ocean variables:\r\nmlotst  so  t20d  thetao  tos  uo  vo  wo  zos"
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            ]
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            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/namblex/data/leic-relativehumidity",
            "numberOfFiles": 4,
            "volume": 3750595,
            "fileFormat": "Data are NASA-Ames 1001 formatted.",
            "storageStatus": "online",
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            "oldDataPath": [],
            "observation": {
                "ob_id": 13132,
                "uuid": "bab564efe0ce4be3885ce38d0f4f3700",
                "short_code": "ob",
                "title": "NAMBLEX: Relative Humidity Measurments from the University of Leicester's RH Probe deployed at the Mace Head Atmospheric Research Facility, Ireland",
                "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX) campaign was conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. During this campaign a suite of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). This dataset consists of relative humidity readings from the University of Leicester's RH Probe."
            },
            "onlineresource_set": []
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            "ob_id": 13136,
            "uuid": "77e955834fd84df888a4f571f40fd2b0",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/specs/data/SPECS/output/ECMWF/IFS/seasonal",
            "numberOfFiles": 105239,
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            "observation": {
                "ob_id": 13135,
                "uuid": "1509a96fb24c48fc80b079186552138f",
                "short_code": "ob",
                "title": "SPECS - ECMWF-IFS Model data prepared for seasonal SPECS (1981-2012)",
                "abstract": "This dataset includes the ECMWF-IFS model output prepared for SPECS seasonal (1981-2012). These data were prepared by the European Centre for Medium-range Weather Forecasting (ECMWF), as part of the SPECS project. \r\n\r\nModel id is IFS (IFS C36R4), frequency is daily and monthly. \r\n\r\nDaily Atmospheric variables are:\r\nrlut\r\n\r\nMonthly atmos variables:\r\nal  clt  hfls  hfss  mrso  pr  psl  rls  rsds  rss  snld  tas  tdps  uas  vas\r\n\r\nMonthly ocean variables:\r\nmlotst  sos  t20d  thetao  tos  uo  vo\r\n"
            },
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    ]
}