Get a list of Result objects. Results have a 1:1 mapping with Observations.

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{
    "count": 11555,
    "next": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=200",
    "previous": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100",
    "results": [
        {
            "ob_id": 798,
            "uuid": "f903f07582984d8385978b49930a26f4",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/chablis",
            "numberOfFiles": 0,
            "volume": 0,
            "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Availability of data and file format</div>\n<p>\n\n The file format is <a href=\"http://badc.nerc.ac.uk/help/formats/NASA-Ames/\">NASA Ames</a>\n</p>\n\n<p /></div>\n",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": null,
            "onlineresource_set": [
                302
            ]
        },
        {
            "ob_id": 802,
            "uuid": "f54a7b33c4f14c0bb2d530ef259544a8",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/chablis/data/leeds-metsensor",
            "numberOfFiles": 2,
            "volume": 4111898,
            "fileFormat": "NASA Ames",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 801,
                "uuid": "24a7e5aca3fbd8f293b49f5847fa51ad",
                "short_code": "ob",
                "title": "Leeds Wind, RH and temperature sensors data at Halley Bay Station for the CHABLIS Campaign (2005)",
                "abstract": "Chemistry of the Antarctic Boundary Layer and the Interface with Snow (CHABLIS) is a Natural Environment Research Council (NERC) and Antarctic Funding Initiative (AFI) funded project, aimed at studying the chemistry of the Antarctic Boundary Layer in greater detail, and for a longer duration, than has previously been attempted. Field measurements were carried out at the British Antarctic Survey station, Halley, at the Clean Air Sector Laboratory (CASLab). Year-round measurements began in February 2004, and a summer campaign focussing on oxidants ran during January/February 2005, after which CHABLIS fieldwork ended. The dataset includes meteorological data from station situated on top of FAGE container at Halley. Access to this dataset is now public."
            },
            "onlineresource_set": [
                303
            ]
        },
        {
            "ob_id": 806,
            "uuid": "8f9ce9246ffc4167a23df86483ae3620",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/chablis/data/uea-pan",
            "numberOfFiles": 2,
            "volume": 122417,
            "fileFormat": "NASA Ames",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 805,
                "uuid": "4192f02e8e4fca2ce87b537b155895a3",
                "short_code": "ob",
                "title": "UEA Cryo-PAN data at Halley Bay Station for the CHABLIS Campaign (2004-2005)",
                "abstract": "Chemistry of the Antarctic Boundary Layer and the Interface with Snow (CHABLIS) is a Natural Environment Research Council (NERC) and Antarctic Funding Initiative (AFI) funded project, aimed at studying the chemistry of the Antarctic Boundary Layer in greater detail, and for a longer duration, than has previously been attempted. Field measurements were carried out at the British Antarctic Survey station, Halley, at the Clean Air Sector Laboratory (CASLab). Year-round measurements began in February 2004, and a summer campaign focussing on oxidants ran during January/February 2005, after which CHABLIS fieldwork ended. The dataset contains PAN (Peroxy-Acetyl-Nitrate) mixing ratio. Access to this dataset is now public."
            },
            "onlineresource_set": [
                304
            ]
        },
        {
            "ob_id": 810,
            "uuid": "b43804a640c243fba6175272abb5cc2c",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/chablis/data/uea-gc-ms",
            "numberOfFiles": 3,
            "volume": 73720,
            "fileFormat": "NASA Ames\r\n",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 809,
                "uuid": "ae45651370502026acae5f45bc6996a1",
                "short_code": "ob",
                "title": "UEA NI-GCMS Bottle Samples at Halley Bay Station for the CHABLIS Campaign (2004-2005)",
                "abstract": "Chemistry of the Antarctic Boundary Layer and the Interface with Snow (CHABLIS) is a Natural Environment Research Council (NERC) and Antarctic Funding Initiative (AFI) funded project, aimed at studying the chemistry of the Antarctic Boundary Layer in greater detail, and for a longer duration, than has previously been attempted. Field measurements were carried out at the British Antarctic Survey station, Halley, at the Clean Air Sector Laboratory (CASLab). Year-round measurements began in February 2004, and a summer campaign focussing on oxidants ran during January/February 2005, after which CHABLIS fieldwork ended. The dataset NI-GCMS Bottle samples, organic nitrates and selected halocarbons. Access to this dataset is now public."
            },
            "onlineresource_set": [
                305
            ]
        },
        {
            "ob_id": 815,
            "uuid": "1c595509889842e099b3980c2a237d46",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cwave/groundbased-other/polarisation_lidar",
            "numberOfFiles": 16,
            "volume": 4514533,
            "fileFormat": "Data are netCDF formatted\r\n",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 814,
                "uuid": "0960f9dda95f854ce1d7fbbb813fce51",
                "short_code": "ob",
                "title": "CWAVE: University of Wales, Aberystwyth ozone DIAL LIDAR at Chilbolton, Hampshire UK.",
                "abstract": "The Cloud and Water Vapour Experiment (CWAVE) was a measurement campaign at the CCLRC-Chilbolton Observatory; it was supporting associated with two EC FP5 projects, CLOUDMAP2 and CLOUDNET. A wide range of satellite and ground based instruments measured a variety of atmospheric properties ranging from cloud parameters to water vapour. In addition, the measurements coincided with the results from a reduced resolution Unified Model (UM) run by the Met Office."
            },
            "onlineresource_set": [
                306
            ]
        },
        {
            "ob_id": 821,
            "uuid": "029d9b3905b742beb3f6e68eb6429233",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cwave/visible-spectroradiometer",
            "numberOfFiles": 16899,
            "volume": 368972791,
            "fileFormat": "Data are CSV formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 820,
                "uuid": "3c41f4f9a608a09bffc7946c8d488cf0",
                "short_code": "ob",
                "title": "CWAVE: University of Leicester Visible-spectroradiometer measurements at Chilbolton Facility for Atmospheric and Radio Research (CFARR)",
                "abstract": "The Cloud and Water Vapour Experiment (CWAVE) was a measurement campaign at the CCLRC-Chilbolton Observatory; it was supporting associated with two EC FP5 projects, CLOUDMAP2 and CLOUDNET. A wide range of satellite and ground based instruments measured a variety of atmospheric properties ranging from cloud parameters to water vapour. In addition, the measurements coincided with the results from a reduced resolution Unified Model (UM) run by the Met Office. Access to such a data set allows unprecedented comparisons between observed and modelled data. This dataset contains time series of j(O1D) and j(NO2) measured by a diode array spectroradiometer (SR) and Spectroradiometer minute actinic flux measurements with respect to wavelength. The data was collected by the University of Leicester from the 23rd June to the 7th  July 2003 during CWAVE 2003.  "
            },
            "onlineresource_set": [
                307
            ]
        },
        {
            "ob_id": 825,
            "uuid": "15459f8095ec4d6f9ed9cebb20e94fda",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cwave/groundbased-other/microwave_radiometer_radiometrics/",
            "numberOfFiles": 4,
            "volume": 44169098,
            "fileFormat": "Data are CSV formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 824,
                "uuid": "dad565f6f34a9a6572faf1e420500803",
                "short_code": "ob",
                "title": "CWAVE: Met Office Microwave radiometer (MP series) temperature, water vapour and liquid profiles at Chilbolton Facility for Atmospheric and Radio Research (CFARR)",
                "abstract": "The Cloud and Water Vapour Experiment (CWAVE) was a measurement campaign at the CCLRC-Chilbolton Observatory; it was supporting associated with two EC FP5 projects, CLOUDMAP2 and CLOUDNET. A wide range of satellite and ground based instruments measured a variety of atmospheric properties ranging from cloud parameters to water vapour. In addition, the measurements coincided with the results from a reduced resolution Unified Model (UM) run by the Met Office. This dataset contains Met Office Microwave radiometer (MP series) temperature, water vapour and liquid profiles at Chilbolton Facility for Atmospheric and Radio Research (CFARR)"
            },
            "onlineresource_set": [
                308
            ]
        },
        {
            "ob_id": 829,
            "uuid": "977514d1bd3f4136925638842949df71",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cwave/satellite/modis/",
            "numberOfFiles": 191,
            "volume": 10611853057,
            "fileFormat": "Images are PNG formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 828,
                "uuid": "438fa717fa3a6a2c1aa3bce02d8fd0dc",
                "short_code": "ob",
                "title": "CWAVE: Moderate Resolution Imaging Spectroradiometer MODIS images",
                "abstract": "The Cloud and Water Vapour Experiment (CWAVE) was a measurement campaign at the CCLRC-Chilbolton Observatory; it was supporting associated with two EC FP5 projects, CLOUDMAP2 and CLOUDNET. A wide range of satellite and ground based instruments measured a variety of atmospheric properties ranging from cloud parameters to water vapour. In addition, the measurements coincided with the results from a reduced resolution Unified Model (UM) run by the Met Office. "
            },
            "onlineresource_set": [
                309
            ]
        },
        {
            "ob_id": 837,
            "uuid": "8345d04c23f4445a99ffe2c1b23ff58c",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cwave",
            "numberOfFiles": 0,
            "volume": 0,
            "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n\n<p>Data are currently being submitted to the  <a href=\"http://badc.nerc.ac.uk/cgi-bin/data_browser/data_browser/badc/cwave\">CWAVE archive</a>.\n\n</p><p>Where ever possible the data is stored in netcdf of hdf format.</p>\n\n</div>\n\n\n",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": null,
            "onlineresource_set": [
                310
            ]
        },
        {
            "ob_id": 844,
            "uuid": "715d8203f7c24906867163ceeb350d05",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cwave/satellite/aatsr",
            "numberOfFiles": 141,
            "volume": 948284302,
            "fileFormat": "Data are netCDF formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 843,
                "uuid": "47adcb7e332ddfab9e9be9b43ea6ac1f",
                "short_code": "ob",
                "title": "CWAVE: Advanced Along-Track Scanning Radiometer (AATSR) measurements from Envisat",
                "abstract": "The Cloud and Water Vapour Experiment (CWAVE) was a measurement campaign at the CCLRC-Chilbolton Observatory; it was supporting associated with two EC FP5 projects, CLOUDMAP2 and CLOUDNET. A wide range of satellite and ground based instruments measured a variety of atmospheric properties ranging from cloud parameters to water vapour. In addition, the measurements coincided with the results from a reduced resolution Unified Model (UM) run by the Met Office. This dataset contains advanced along-track scanning radiometer measurements."
            },
            "onlineresource_set": [
                311
            ]
        },
        {
            "ob_id": 853,
            "uuid": "bfb6456a084b4e19a1a2d083d0f77e89",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/amps_antarctic/data/6_0km",
            "numberOfFiles": 4101,
            "volume": 4127118434121,
            "fileFormat": "Data are held in tar.bz2 archive balls",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 852,
                "uuid": "565c700e5e7e68e97cf9f99da6101f7f",
                "short_code": "ob",
                "title": "Antarctic Mesoscale Prediction System (AMPS): 6km numerical weather prediction data",
                "abstract": "The Antarctic Mesoscale Prediction System (AMPS) is an experimental, real-time numerical weather prediction capability that provides support for the United States Antarctic Program, Antarctic science, and international Antarctic efforts. AMPS produces numerical guidance from the Weather Research and Forecasting (WRF) model with twice-daily forecasts covering Antarctica. The effort is sponsored by the National Science Foundation (NSF) Office of Polar Programs and the NSF UCAR and Lower Atmospheric Facilities Oversight Section. It is a collaboration of the National Center for Atmospheric Research and the Byrd Polar Research Center of The Ohio State University.\r\n\r\nThis dataset contains 6km numerical weather prediction data."
            },
            "onlineresource_set": [
                316
            ]
        },
        {
            "ob_id": 855,
            "uuid": "8e6d9b27ad6547b0b4bca5181e66db95",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/amps_antarctic/data/4_5km",
            "numberOfFiles": 3854,
            "volume": 9183664659823,
            "fileFormat": "Data are held in tar.bz2 archive balls",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 854,
                "uuid": "652cc356aa52328163368f65c2c606bf",
                "short_code": "ob",
                "title": "Antarctic Mesoscale Prediction System (AMPS): 4.5km numerical weather prediction data",
                "abstract": "The Antarctic Mesoscale Prediction System (AMPS) is an experimental, real-time numerical weather prediction capability that provides support for the United States Antarctic Program, Antarctic science, and international Antarctic efforts. AMPS produces numerical guidance from the Weather Research and Forecasting (WRF) model with twice-daily forecasts covering Antarctica. The effort is sponsored by the National Science Foundation (NSF) Office of Polar Programs and the NSF UCAR and Lower Atmospheric Facilities Oversight Section. It is a collaboration of the National Center for Atmospheric Research and the Byrd Polar Research Center of The Ohio State University.\r\n\r\nThis dataset contains 4.5km numerical weather prediction data."
            },
            "onlineresource_set": [
                317
            ]
        },
        {
            "ob_id": 858,
            "uuid": "a3c57c19032a4e8e83a27f6413e22048",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cpdn",
            "numberOfFiles": 2,
            "volume": 1012,
            "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Availability of data and file format</div>\n<p>\nThe data is divided into a series of volumes with a consistent\ndirectory structure.  Volumes are filled in the order data is submitted and\ntherefore a single volume may contain simulations from multiple\nClimate<i>prediction</i>.net experiments.  \n</p>\n\n<p>The first volume in the dataset (<a href=\"http://badc.nerc.ac.uk/cgi-bin/data_browser/data_browser/badc/cpdn/volumes/vol-000\"><code>vol-000</code></a>) is a quality controlled subset of early Climate<i>prediction</i>.net data that is documented seperately <a href=\"http://badc.nerc.ac.uk/data/cpdn/cpdn-nature2500.html\">here</a>.  This volume contains aproximately 2500 runs with a total size of 13Gb.  Subsequent volumes will be an order of magnitude larger.\n</p>\n\n<p>Each simulation is stored within a volume at a URL matching the following pattern:\n\n</p><blockquote>\n  <code>ftp://ftp.ceda.ac.uk/badc/cpdn/volumes/vol-<i class=\"subst\">xxx</i>/<i class=\"subst\">model</i>/<i class=\"subst\">yy</i>/<i class=\"subst\">result-name</i></code>\n\n</blockquote>\n\nWhere <code><i class=\"subst\">xxx</i></code> is a zero-padded volume number, <code><i class=\"subst\">model</i></code>\nidentifies the type of Climate<i>prediction</i>.net simulation\n(e.g. <code>standard</code> for the HadSM3 slab model experiment or\n<code>sulphur</code> for the HadSM3 + sulphur cycle experiment) and\n\n<code><i class=\"subst\">yy</i></code> is a directory branch designed to limit the size of\nindividual directories.  The directory branch <code><i class=\"subst\">yy</i></code> is currently calculated\nas the first 2 characters of the simulation's UM id, which is usually\nalso part of the <code><i class=\"subst\">result-name</i></code>.  However, this feature should not\nbe assumed as future volumes may use a different convention.\n<p />\n\n<p>Within each simulation directory data is stored as a series of NetCDF files conforming to the CF metadata standard.\n</p>\n\n<p /></div>\n",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 857,
                "uuid": "e6a641fc993455b642f560c185e7e9f7",
                "short_code": "ob",
                "title": "ClimatePrediction.net model runs on worldwide personal computer network",
                "abstract": "The Climateprediction.net project is harnessing the spare CPU cycles of tens of thousands of individual users' PCs to run a massive ensemble of climate simulations using the Met Office's Unified Model. A multi-thousand member ensemble of simulation results from the perturbed physics climate sensitivity experiment is available for research purposes."
            },
            "onlineresource_set": [
                321
            ]
        },
        {
            "ob_id": 863,
            "uuid": "c57d074a452d418182b9ed3c2dbebe3d",
            "short_code": "result",
            "curationCategory": "B",
            "dataPath": "/badc/ukmo-hadsst2/data",
            "numberOfFiles": 22,
            "volume": 849337409,
            "fileFormat": "ASCII and NetCDF",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 862,
                "uuid": "df1caf8b2e473925944fdd8dd76e098c",
                "short_code": "ob",
                "title": "HadSST2  - 5x5 deg Monthly Global fields of SST anomalies (1850-2013)",
                "abstract": "The Met Office Hadley Centre's sea surface temperature data set, HadSST2, replaces the Met Office Historical Sea Surface Temperature dataset (MOHSST6) and is a monthly global field of SST (Sea Surface Temperature) on a 5 deg latitude by 5 deg longitude grid from 1850 to August 2013. The data are neither interpolated nor variance adjusted.\r\n\r\nThe SST data are taken from the International Comprehensive Ocean-Atmosphere Data Set, ICOADS, from 1850 to 1997 and from the NCEP-GTS from 1998 to the present. HadSST2 is produced by taking in-situ measurements of SST from ships and buoys, rejecting measurements which which fail quality checks, converting the measurements to anomalies by subtracting climatological values from the measurements, and calculating a robust average of the resulting anomalies on a 5° by 5° degree monthly grid. After gridding the anomalies, bias corrections are applied to remove spurious trends caused by changes in SST measuring practices before 1942. The uncertainties due to under-sampling have been calculated for the gridded monthly data as have the uncertainties on the bias corrections.\r\n\r\nThis dataset include:\r\n- SST anomaly data (HadSST2_SST_1850on.txt.gz)\r\n- 1961-1990 Climatology (HadSST2_climatology_5x5_1961_1990.txt)\r\n- numbers of observations used to calculate the average (HadSST2_nobs_1850on.txt.gz)\r\n- Estimates on the measurement and sampling errors on the SST data (HadSST2_m_and_s_errors_1850on.txt.gz)\r\n- bias-adjusted data using bias adjustments which represent the 97.5 percent and 2.5 percent confidence levels of the estimated errors on the adjustments (HadSST2_97.5_pct_bias_1850on.txt.gz and HadSST2_2.5_pct_bias_1850on.txt.gz).\r\n- Files showing the correction applied to the data e.g.:\r\nHadSST2_bucket_correction_median.txt.gz - the corrections applied to the data 1850-1941\r\nHadSST2_bucket_correction_2.5pc.txt.gz - the lower bound of the 95% confidence range of the uncertainties 1850-1941\r\nHadSST2_bucket_correction_97.5pc.txt.gz - the upper bound of the 95% confidence range of the uncertainties 1850-1941\r\n\r\nA 1 degree version of HadSST2 is also available.\r\n    \r\nData were provided by the Met Office Hadley Centre. Dataset was produced by the Hadley Centre in collaboration with ICOADS."
            },
            "onlineresource_set": [
                326
            ]
        },
        {
            "ob_id": 867,
            "uuid": "59431a9edcd54a9c937e4123ec4e8101",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/cwvc/data/H2O_absorption",
            "numberOfFiles": 4,
            "volume": 5487786,
            "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Availability of data and file format</div>\n<p>\nData are stored in the BADC\n<a href=\"http://badc.nerc.ac.uk/cgi-bin/data_browser/data_browser/badc/cwvc/data/H2O_absorption\">CWVC HITRAN project data archive</a>.\n\n</p><p>\nThe data are in <a href=\"http://badc.nerc.ac.uk/help/formats/hitran/\">hitran</a>  \nformat.\n</p>\n\n\n<p /></div>\n",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 866,
                "uuid": "67ac200fa0f13e5a68faab025576b9a7",
                "short_code": "ob",
                "title": "MSF Fourier Transform spectrometers data at the STFC MSF for the CWVC-HITRAN campaign",
                "abstract": "The aim of HITRAN (high-resolution transmission molecular absorption database) was to characterise the amount and wavelength-dependence of absorption by water vapour and other atmospheric species. It was part of the Natural Environment Research Council (NERC) funded Clouds, Water Vapour and Climate (CWVC) program. The dataset contains spectral line parameters derived from laboratory measurements on pure water vapour, and mixtures of water vapour and air. The measurements were made at STFC Rutherford Appleton Laboratory Molecular Spectroscopy Facility, and the line fitting was carried out by the Department of Meteorology at the University of Reading. The spectral line parameters are displayed in HITRAN format. Water vapour lines were fitted to the laboratory data in the spectral range 5037 to 5585 cm-1. These data are public."
            },
            "onlineresource_set": [
                332,
                331
            ]
        },
        {
            "ob_id": 874,
            "uuid": "e3851c62ce47473b92ac56f56fc2838c",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/capeverde/data/cv-met-campbell",
            "numberOfFiles": 0,
            "volume": 0,
            "fileFormat": "Data are NASA Ames formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": null,
            "onlineresource_set": [
                335
            ]
        },
        {
            "ob_id": 882,
            "uuid": "996a015c60654b50b8f98a12fa5f3cbf",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/capeverde/data/cv-tei-o3",
            "numberOfFiles": 0,
            "volume": 0,
            "fileFormat": "Data are NASA Ames formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": null,
            "onlineresource_set": [
                339
            ]
        },
        {
            "ob_id": 886,
            "uuid": "1ff9408546074968a950dd02fed828fa",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/capeverde/data/cv-aerolaser-co",
            "numberOfFiles": 0,
            "volume": 0,
            "fileFormat": "Data are NASA Ames formatted\r\n",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": null,
            "onlineresource_set": [
                340
            ]
        },
        {
            "ob_id": 890,
            "uuid": "816a7670ef094ddc8bddc80b0820d6a8",
            "short_code": "result",
            "curationCategory": "A",
            "dataPath": "/badc/capeverde/data/cv-dc-gc-fid",
            "numberOfFiles": 11,
            "volume": 14505644,
            "fileFormat": "Data are NASA Ames formatted",
            "storageStatus": "online",
            "storageLocation": "internal",
            "oldDataPath": [],
            "observation": {
                "ob_id": 889,
                "uuid": "901e555641b5c68d9f41b15d7a2ab842",
                "short_code": "ob",
                "title": "Cape Verde Atmospheric Observatory: NMHC measurements from dual channel Gas Chromatograph (2006 onwards)",
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            "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Availability of data, File format and Software</div>\n<p>\nAccess to the UJCC data sets is available via the \n<a href=\"http://badc.nerc.ac.uk/cgi-bin/data_browser/data_browser/badc/ujcc/\"> UJCC data browser \ndirectory </a>. Alternatively you can ftp the data from ftp.ceda.ac.uk.\n</p>\n\n<p>\nUJCC is making use of a broad group of models in order to systematically explore the role and \nvalue of resolution in climate system research. All the UJCC models have as their baseline \nscience the initial reference HadGEM1a models used at the Hadley Centre. These build on the IPCC \nAR4 version of the model, and include various small improvements to the science and fixing of \nknown problems.\nMore details of HadGEM1a can be found \n<a href=\"http://www.higem.nerc.ac.uk/higem_only/validation/hadgem1a/hadgem1a.html\">here</a> \n(this link is restricted to those with HiGEM privileges).\n</p>\n<p>\nThe UJCC data archived at the BADC are 30 year simulations from models at the following resolutions:\n</p><ul>\n<li> N96 Atmosphere (1.25 lat x 1.875 lon), 1 degree ocean (HadGEM1a)    \n</li><li> N96 Atmosphere (1.25 lat x 1.875 lon), 1/3 degree ocean\n</li><li> N144 Atmosphere (0.83 lat x 1.25 lon), 1 degree ocean\n</li><li> N144 Atmosphere (0.83 lat x 1.25 lon), 1/3 degree ocean (HiGEM)\n\n</li></ul>\n<p />\n<p>\nSimulations from the Nihon-UK Global Environmental Model (NUGEM) will also be archived at the BADC. \nNUGEM is a version of HadGEM1a run at very high N216 resolution (0.83 lat x 0.56 lon, corresponding \nto ~60 km in mid-latitudes). The BADC will be archiving:\n</p><ul>\n<li> NUGAM Atmosphere only version of NUGEM\n</li><li> NUGEM Coupled atmosphere and ocean\n</li></ul>\n<p />\n<p>\nThe BADC have provided a list of the simulations that make up the <a href=\"http://badc.nerc.ac.uk/data/ujcc/ujcc_matrix.html\">UJCC datset matrix</a> in the BADC archive.  \nA comprehensive overview of the matrix of UJCC climate models can be found \n<a href=\"http://www.earthsimulator.org.uk/models.php\">here</a>.\n\n</p>\n\n<b> UJCC status</b>\n<br />\n\n<p>The current status of the UJCC dataset at the BADC can be found\n<a href=\"http://badc.nerc.ac.uk/data/ujcc/status.html\">here</a>. \n\n</p><p>We have now launched a web page showing the \n<a href=\"http://badc.nerc.ac.uk/data/ujcc/higem.html\">status of the current UJCC-HiGEM simulation</a>.  \nThis service displays the evolution of certain key parameters including net top of atmosphere \nradiation flux, global mean sea surface and surface temperature and ocean salinity. \nThe North Atlantic Oscillation and Nino-3 indices are also shown.  \nThese plots are updated as new data from the UJCC-HiGEM simulation arrives at the BADC. \n</p>\n<p>\n<b>Data file format</b>\n<br />\nAll UJCC data are held as 64 bit UM pp files.\n</p>\n<p>\n<b> Software</b>\n<br />\nSoftware is available to manipulate and view the data. \n<a href=\"http://badc.nerc.ac.uk/help/software/xconv\">xconv</a> provides an easy to use point\nand click interface to the data.\n<a href=\"http://www.met.reading.ac.uk/~jeff/xconv/appx1.html\">convsh</a>\n\nprovides a subset of the functionality of xconv, but in a scriptable\nform, so it can be used to automate some common data processing tasks.\nJeff Cole at CGAM Reading, who developed both xconv and convsh,\nprovides some example uses of\n<a href=\"http://www.met.reading.ac.uk/~jeff/xconv/appx2.html\">convsh</a>.\n</p>\n\n\n<p /></div>\n",
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                "abstract": "The Exploitation of new data sources, data assimilation and ensemble techniques for storm and flood forecasting Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002137/1 - Duration January 2007 - April 2010) led by Prof AJ Illingworth, University of Reading. This project investigates possible methods of producing ensemble weather forecasts at high-resolution. These ensembles will be used with raingauge and river flow to improve methods of flood forecasting. The dataset includes radiosonde and wind profiles in England and Wales derived using Doppler radar returns from insects. The radial velocity measurements from insects were converted into VAD profiles by fitting a sinusoid to radial velocities at constant range. All measured profiles have been interpolated to the instrument location. \r\n\r\nThis dataset contains radar measurements."
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                "abstract": "The Exploitation of new data sources, data assimilation and ensemble techniques for storm and flood forecasting Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002137/1 - Duration January 2007 - April 2010) led by Prof AJ Illingworth, University of Reading. This project investigates possible methods of producing ensemble weather forecasts at high-resolution. These ensembles will be used with raingauge and river flow to improve methods of flood forecasting. The dataset includes radiosonde and wind profiles in England and Wales derived using Doppler radar returns from insects. The radial velocity measurements from insects were converted into VAD profiles by fitting a sinusoid to radial velocities at constant range. All measured profiles have been interpolated to the instrument location. \r\n\r\nThis dataset contains temperature and pressure measurements from radiosondes."
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                "abstract": "The Exploitation of new data sources, data assimilation and ensemble techniques for storm and flood forecasting Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002137/1 - Duration January 2007 - April 2010) led by Prof AJ Illingworth, University of Reading. This project investigates possible methods of producing ensemble weather forecasts at high-resolution. These ensembles will be used with raingauge and river flow to improve methods of flood forecasting. The dataset includes radiosonde and wind profiles in England and Wales derived using Doppler radar returns from insects. The radial velocity measurements from insects were converted into VAD profiles by fitting a sinusoid to radial velocities at constant range. All measured profiles have been interpolated to the instrument location. \r\n\r\nThis dataset contains model output files from experiments assimilating radial winds from insects are also available."
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                "abstract": "The Exploitation of new data sources, data assimilation and ensemble techniques for storm and flood forecasting Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002137/1 - Duration January 2007 - April 2010) led by Prof AJ Illingworth, University of Reading. This project investigates possible methods of producing ensemble weather forecasts at high-resolution. These ensembles will be used with raingauge and river flow to improve methods of flood forecasting. The dataset includes radiosonde and wind profiles in England and Wales derived using Doppler radar returns from insects. The radial velocity measurements from insects were converted into VAD profiles by fitting a sinusoid to radial velocities at constant range. All measured profiles have been interpolated to the instrument location. \r\n\r\nThis dataset contains UK Met Office model equivalent of radiosonde, radar and wind profiles."
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                "abstract": "The UK daily temperature data describe maximum and minimum temperatures (air, grass and concrete slab) measured over a period of up to 24 hours. The measurements are recorded by observation stations across the UK and transmitted within NCM or DLY3208 or AWSDLY messages. The data span from 1853 to present."
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                "abstract": "The UK daily weather observation data contain meteorological values measured on a 24 hour time scale. The measurements of sunshine duration, concrete state, snow depth, fresh snow depth, and days of snow, hail, thunder and gail were attained by observation stations across the UK and transmitted within DLY3208, NCM, AWSDLY and SYNOP messages. The data span from 1880 to present."
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                "title": "MIDAS: Global CLIMAT Upper Air Values from Standard Pressure Levels",
                "abstract": "The global CLIMAT upper air values from standard pressure levels data describe monthly values, at specified pressure levels, of atmospheric pressure, air temperature, geopotential height, wind steadiness factor, mean vector wind direction and dew point. The measurements are attained by observation stations worldwide and transmitted within FM 75-VI CLIMAT TEMP messages. The data span from 1946 to 2007."
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                "abstract": "The UK hourly rainfall data describes the rainfall amount (and duration from tilting syphon gauges) during the hour (or hours) ending at the specified time. The data also conatins precipitation amounts, however precipitation measured over 24 hours will not be stored. The data is collected by observation stations across the UK and transmitted within the following message types: NCM, AWSHRLY, DLY3208, SREW, SSER and WAHRAIN. The data spans from 1915 to present."
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                "title": "MIDAS: Global Weather Observation Data",
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                "short_code": "ob",
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                "abstract": "The global surface climate values data contain monthly and annual surface climatological averages and met element check values for surface CLIMAT reports. The message contains measurements meteorological parameters; the count of months of actual data, mean, standard deviation, median, and skewness of the record are all given for a specified parameter. The data span a maximum of 30 year period ending in December 1990 and December 2000."
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                "uuid": "77910bcec71c820d4c92f40d3ed3f249",
                "short_code": "ob",
                "title": "MIDAS: Global Marine Meteorological Observations Data",
                "abstract": "The global marine meteorological observations data contains marine meteorological values, such as wave heights and periods, wind speed and direction, present weather, and air and sea temperature, measured during the hour ending at the stated date and time. The data is collected by worldwide observation stations and transmitted within the following message types: Ship SYNOP, which is also referred to as FM 13-IX SHIP, FM 18-X BUOY, Light Vessel, Marid, Marine logbooks, NAVY, OWS, PLAT/RIG, and VOF. In this dataset the different message types are all described by the SHIP message name. Data are available from 1854 to present.\r\n\r\nThe data consist of:\r\n\r\nOffshore wind (speed and direction)\r\nWeather (present, past)\r\nCloud (amount, type, base amount, base height)\r\nPressure (mean sea level)\r\nVisibility\r\nTemperature (air, dew-point, wetbulb, sea)\r\nRelative humidity\r\nWave (direction, period, height)\r\nWind-wave (period, height)\r\nSwell (direction, -wave period, height)\r\nShip direction and distance\r\nMaximum gust speed and period\r\n\r\nThe wind speed is given to the nearest knot, direction to the nearest 10 degrees, and the time of the maximum gust is given to the nearest 0.1 hour. The wind direction from which the wind blows, is measured in Degrees (true). The entry for an east wind is 090, for a south wind it is 180 and so on clockwise. Note that zero values in both wind speed and wind direction fields indicate that there was no wind blowing at the time of observation.\r\n\r\nThe temperature and dew point are given to the nearest 0.1 degree Celsius, the pressure is given to the nearest 0.1 hectopascal, the cloud base height and the visibility are given to the nearest decametre. Cloud amount is reported in oktas.\r\n\r\nThe past weather is recorded as a number between 0-9 which details what the weather has been like in the last 6 hours for observations at 00, 06, 12, 1800 UTC, the last 3 hours for observations at 03, 09, 15, 2100 UTC and the previous hour at any other times. The past weather is only recorded when a manual observation is done at the station.\r\n\r\nMarine reports are defined by position (latitude and longitude) and by time. Duplicates can exist at a specified position and time, e.g. when ships are alongside for bunkering, so the identifier of the ship or buoy is part of the primary key of the entity.\r\n\r\nA great many ships do not include a valid call sign in their reports; the call sign may be missing or invalid. When this occurs, Midas will substitute the call sign value “SHIP”."
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                "abstract": "These data are the University of Reading (Reading, UK) UR025.4 reanalysis produced by the Earth System Science Centre, and are used to support the work of the NERC (Natural Environmental Research Council) RAPID-WATCH (Rapid Climate Change-Will the Atlantic Thermohaline Circulation halt?) VALOR (VALue of the RAPID-WATCH Climate Change programme array) project.\r\n\r\nThey consist of global ocean and sea ice fields, with coverage at 1/4 deg lat x 1/4 deg lon, on 75 vertical levels, for the period from 1989 to 2010. These variables include monthly means of Temperature, Salinity, Currents, Sea Surface Height and Sea Ice Parameters, forced by ERA-Interim atmospheric variables with Data Assimilation of in-situ T,S profiles and satellite SST, Sea Level Anomalies, Temperature and Salinity profiles and satellite Sea Ice Concentration using the UK Met Office FOAM system. 5-day data also exist for all variables and daily data for some upper ocean variables may be available from the provider.\r\n\r\nThese data were originally produced under the EU MyOcean project and have been validated against observations. They are also currently available through the MyOcean website."
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                "abstract": "This dataset is one of 2 global ocean reanalyses (named UR025.3 and UR025.4) produced by National Centre for Earth Observation at the University or Reading as part of the EU MyOcean project. Both datasets have been validated against observations. This dataset contains monthly mean output from UR025.3 reanalysis (which uses an older version of the NEMO model v2.3 and assimilates only EN3 T/S profile data)."
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                "abstract": "Data from flight 1 of 17 from the NASA/NOAA aircraft campaign based in Darwin, Australia in January and February 1987. Designed to investigate mechanisms of equatorial stratosphere-troposphere exchange. Measurements include trace gases and aerosol in cloud free and cloud dominated conditions. This dataset is public."
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