Drs Dataset List

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    "count": 726837,
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        {
            "ob_id": 49304,
            "drsId": "esacci.AEROSOL.5-days.L3C.AEX.GOMOS.Envisat.aergom.2-19.r1",
            "version": "v20170406",
            "directory": "/neodc/esacci/aerosol/data/GOMOS_AERGOM/L3/v2.19/5DAYS",
            "relatedTo": {
                "ob_id": 19112,
                "uuid": "91a7029627754d60912e58255b686836",
                "short_code": "ob",
                "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 3 aerosol products from GOMOS (AERGOM algorithm), Version 2.19",
                "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 3 aerosol monthly products from GOMOS, using the AERGOM algorithm, version 2.19 and was produced by BIRA (Belgian Institute for Space Aeronomy). \r\n\r\nThe data are stored as 5 day averages and standard deviations of a range of aerosol variables, on global 2.5 degree x 10 degree latitutude/longitude grids, and in NetCDF format. The horizontal resolution is 0.5km. \r\n\r\nThe variables included are: Stratospheric Aerosol Optical Depth (AOD), Angstrom coefficient, extinction profile. \r\n\r\n\r\nFor further details about these data products please see the linked documentation."
            }
        },
        {
            "ob_id": 49305,
            "drsId": "esacci.AEROSOL.satellite-orbit-frequency.L2P.AOD.MERIS.Envisat.MERIS_ENVISAT.2-2.r1",
            "version": "v20170406",
            "directory": "/neodc/esacci/aerosol/data/MERIS_ALAMO/L2/v2.2",
            "relatedTo": {
                "ob_id": 19828,
                "uuid": "a6efcb0868664248b9cb212aba44313d",
                "short_code": "ob",
                "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 2 aerosol products from MERIS (ALAMO algorithm), Version 2.2",
                "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 2 aerosol products from MERIS for 2008, using the ALAMO algorithm, version 2.2.   The data have been provided by Hygeos.\r\n\r\nFor further details about these data products please see the linked documentation."
            }
        },
        {
            "ob_id": 49306,
            "drsId": "esacci.AEROSOL.day.L3C.AOD.MERIS.Envisat.MERIS_ENVISAT.2-2.r1",
            "version": "v20170406",
            "directory": "/neodc/esacci/aerosol/data/MERIS_ALAMO/L3/v2.2/DAILY",
            "relatedTo": {
                "ob_id": 19831,
                "uuid": "11c5f6df1abc41968d0b28fe36393c9d",
                "short_code": "ob",
                "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 3 aerosol products from MERIS (ALAMO algorithm), Version 2.2",
                "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 3 aerosol daily and monthly gridded products from MERIS for 2008, using the ALAMO algorithm, version 2.2.   The data have been provided by Hygeos.\r\n\r\nFor further details about these data products please see the linked documentation."
            }
        },
        {
            "ob_id": 49307,
            "drsId": "esacci.AEROSOL.mon.L3C.AOD.MERIS.Envisat.MERIS_ENVISAT.2-2.r1",
            "version": "v20170406",
            "directory": "/neodc/esacci/aerosol/data/MERIS_ALAMO/L3/v2.2/MONTHLY",
            "relatedTo": {
                "ob_id": 19831,
                "uuid": "11c5f6df1abc41968d0b28fe36393c9d",
                "short_code": "ob",
                "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 3 aerosol products from MERIS (ALAMO algorithm), Version 2.2",
                "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises the Level 3 aerosol daily and monthly gridded products from MERIS for 2008, using the ALAMO algorithm, version 2.2.   The data have been provided by Hygeos.\r\n\r\nFor further details about these data products please see the linked documentation."
            }
        },
        {
            "ob_id": 49308,
            "drsId": "esacci.AEROSOL.climatology.L3.AAI.multi-sensor.multi-platform.ms_uvai.1-5-7.r1",
            "version": "v20170406",
            "directory": "/neodc/esacci/aerosol/data/MS_UVAI/L3/v1.5.7/CLIMATOLOGY",
            "relatedTo": {
                "ob_id": 19106,
                "uuid": "828e521e9ebe4df896341736bff0f369",
                "short_code": "ob",
                "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 3 aerosol products  from the Multi-Sensor UVAI algorithm (MS UVAI), Version 1.5.7",
                "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises Level 3 Absorbing Aerosol Index (AAI) products, using the Multi-Sensor UVAI algorithm, Version 1.5.7.  L3 products are provided as Daily and Monthly gridded products as well as a monthly climatology. \r\n\r\nFor further details about these data products please see the linked documentation."
            }
        },
        {
            "ob_id": 49309,
            "drsId": "esacci.AEROSOL.day.L3.AAI.multi-sensor.multi-platform.ms_uvai.1-5-7.r1",
            "version": "v20170406",
            "directory": "/neodc/esacci/aerosol/data/MS_UVAI/L3/v1.5.7/DAILY",
            "relatedTo": {
                "ob_id": 19106,
                "uuid": "828e521e9ebe4df896341736bff0f369",
                "short_code": "ob",
                "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 3 aerosol products  from the Multi-Sensor UVAI algorithm (MS UVAI), Version 1.5.7",
                "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises Level 3 Absorbing Aerosol Index (AAI) products, using the Multi-Sensor UVAI algorithm, Version 1.5.7.  L3 products are provided as Daily and Monthly gridded products as well as a monthly climatology. \r\n\r\nFor further details about these data products please see the linked documentation."
            }
        },
        {
            "ob_id": 49310,
            "drsId": "esacci.AEROSOL.mon.L3.AAI.multi-sensor.multi-platform.ms_uvai.1-5-7.r1",
            "version": "v20170406",
            "directory": "/neodc/esacci/aerosol/data/MS_UVAI/L3/v1.5.7/MONTHLY",
            "relatedTo": {
                "ob_id": 19106,
                "uuid": "828e521e9ebe4df896341736bff0f369",
                "short_code": "ob",
                "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 3 aerosol products  from the Multi-Sensor UVAI algorithm (MS UVAI), Version 1.5.7",
                "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. \r\n\r\nThis dataset comprises Level 3 Absorbing Aerosol Index (AAI) products, using the Multi-Sensor UVAI algorithm, Version 1.5.7.  L3 products are provided as Daily and Monthly gridded products as well as a monthly climatology. \r\n\r\nFor further details about these data products please see the linked documentation."
            }
        },
        {
            "ob_id": 49311,
            "drsId": "esacci.CLOUD.mon.L3C.CLD_PRODUCTS.multi-sensor.multi-platform.ATSR2-AATSR.2-0.r1",
            "version": "v20170407",
            "directory": "/neodc/esacci/cloud/data/phase-2/L3C/ATSR2-AATSR/v2.0",
            "relatedTo": {
                "ob_id": 20376,
                "uuid": "1ea3b2e391e4441daa57100a02b98691",
                "short_code": "ob",
                "title": "ESA Cloud Climate Change Initiative (Cloud_cci): ATSR2-AASTR monthly gridded cloud properties,  version 2.0",
                "abstract": "The Cloud_cci ATSR2-AATSR dataset was generated within the Cloud_cci project (http://www.esa-cloud-cci.org) which was funded by the European Space Agency (ESA) as part of the ESA Climate Change Initiative (CCI) programme (Contract No.: 4000109870/13/I-NB). This dataset is one of the 6 datasets generated in Cloud_cci; all of them being based on passive-imager satellite measurements. This dataset is based on ATSR2 and AATSR (onboard ERS2 and ENVISAT) measurements and contains a variety of cloud properties which were derived employing the Community Cloud retrieval for Climate (CC4CL) retrieval system. The core cloud properties contained in the Cloud_cci ATSR2-AATSR dataset are cloud mask/fraction, cloud phase, cloud top pressure/height/temperature, cloud optical thickness, cloud effective radius and cloud liquid/ice water path. Spectral cloud albedo is also included as experimental product. Level-3C product files contain monthly averages and histograms of the mentioned cloud properties together with propagated uncertainty measures."
            }
        },
        {
            "ob_id": 49312,
            "drsId": "esacci.CLOUD.mon.L3C.CLD_PRODUCTS.AVHRR.multi-platform.AVHRR-AM.2-0.r1",
            "version": "v20170410",
            "directory": "/neodc/esacci/cloud/data/phase-2/L3C/AVHRR-AM/v2.0",
            "relatedTo": {
                "ob_id": 20378,
                "uuid": "d7237ccf38f048debdbeae3f1f253618",
                "short_code": "ob",
                "title": "ESA Cloud Climate Change Initiative (Cloud_cci): AVHRR-AM monthly gridded cloud properties, version 2.0",
                "abstract": "The Cloud_cci AVHRR-AM dataset was generated within the Cloud_cci project (http://www.esa-cloud-cci.org) which was funded by the European Space Agency (ESA) as part of the ESA Climate Change Initiative (CCI) programme (Contract No.: 4000109870/13/I-NB). This dataset is one of the 6 datasets generated in Cloud_cci; all of them being based on passive-imager satellite measurements. This dataset is based on AVHRR (onboard NOAA-12, NOAA-15, NOAA-17, Metop-A) measurements and contains a variety of cloud properties which were derived employing the Community Cloud retrieval for Climate (CC4CL) retrieval system. The core cloud properties contained in the Cloud_cci AVHRR-AM dataset are cloud mask/fraction, cloud phase, cloud top pressure/height/temperature, cloud optical thickness, cloud effective radius and cloud liquid/ice water path. Spectral cloud albedo is also included as experimental product. Level-3C product files contain monthly averages and histograms of the mentioned cloud properties together with propagated uncertainty measures.\r\n\r\nThe L3C data here form a subset of the AVHRR-AM products produced by the Cloud CCI, and which are collectively referenced by the following DOI: Stengel, Martin; Sus, Oliver; Stapelberg, Stefan; Schlundt, Cornelia; Poulsen, Caroline; Hollmann, Rainer (2017): ESA Cloud Climate Change Initiative (ESA Cloud_cci) data: Cloud_cci AVHRR-AM L3C/L3U CLD_PRODUCTS v2.0, Deutscher Wetterdienst (DWD), DOI:10.5676/DWD/ESA_Cloud_cci/AVHRR-AM/V002"
            }
        },
        {
            "ob_id": 49313,
            "drsId": "esacci.CLOUD.mon.L3C.CLD_PRODUCTS.AVHRR.multi-platform.AVHRR-PM.2-0.r1",
            "version": "v20170410",
            "directory": "/neodc/esacci/cloud/data/phase-2/L3C/AVHRR-PM/v2.0",
            "relatedTo": {
                "ob_id": 20379,
                "uuid": "47e5104f93764a0b997d8b7976613e97",
                "short_code": "ob",
                "title": "ESA Cloud Climate Change Initiative (Cloud_cci): AVHRR-PM monthly gridded cloud properties, version 2.0",
                "abstract": "The Cloud_cci AVHRR-PM dataset was generated within the Cloud_cci project (http://www.esa-cloud-cci.org) which was funded by the European Space Agency (ESA) as part of the ESA Climate Change Initiative (CCI) programme (Contract No.: 4000109870/13/I-NB). This dataset is one of the 6 datasets generated in Cloud_cci; all of them being based on passive-imager satellite measurements. This dataset is based on AVHRR (onboard NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19) measurements and contains a variety of cloud properties which were derived employing the Community Cloud retrieval for Climate (CC4CL) retrieval system. The core cloud properties contained in the Cloud_cci AVHRR-PM dataset are cloud mask/fraction, cloud phase, cloud top pressure/height/temperature, cloud optical thickness, cloud effective radius and cloud liquid/ice water path. Spectral cloud albedo is also included as experimental product. Level-3C product files contain monthly averages and histograms of the mentioned cloud properties together with propagated uncertainty measures."
            }
        },
        {
            "ob_id": 49314,
            "drsId": "esacci.CLOUD.mon.L3C.CLD_PRODUCTS.multi-sensor.Envisat.MERIS-AATSR.2-0.r1",
            "version": "v20170410",
            "directory": "/neodc/esacci/cloud/data/phase-2/L3C/MERIS-AATSR/v2.0",
            "relatedTo": {
                "ob_id": 20377,
                "uuid": "2f423ac3eb244567a12b283894b869de",
                "short_code": "ob",
                "title": "ESA Cloud Climate Change Initiative (Cloud_cci): MERIS+AATSR monthly gridded cloud properties,  Version 2.0",
                "abstract": "The Cloud_cci MERIS+AATSR dataset was generated within the Cloud_cci project (http://www.esa-cloud-cci.org) which was funded by the European Space Agency (ESA) as part of the ESA Climate Change Initiative (CCI) programme (Contract No.: 4000109870/13/I-NB). This dataset is one of the 6 datasets generated in Cloud_cci; all of them being based on passive-imager satellite measurements. This dataset is based on MERIS and AATSR (onboard ENVISAT) measurements and contains a variety of cloud properties which were derived employing the Freie Universität Berlin AATSR MERIS Cloud (FAME-C) retrieval system. The core cloud properties contained in the Cloud_cci MERIS+AATSR dataset are cloud mask/fraction, cloud phase, cloud top pressure/height/temperature, cloud optical thickness, cloud effective radius and cloud liquid/ice water path. Spectral cloud albedo is also included as experimental product. Level-3C product files contain monthly averages and histograms of the mentioned cloud properties together with propagated uncertainty measures."
            }
        },
        {
            "ob_id": 49315,
            "drsId": "esacci.CLOUD.mon.L3C.CLD_PRODUCTS.MODIS.Aqua.MODIS_AQUA.2-0.r1",
            "version": "v20170330",
            "directory": "/neodc/esacci/cloud/data/phase-2/L3C/MODIS-AQUA/v2.0",
            "relatedTo": {
                "ob_id": 20380,
                "uuid": "7dd46ee62153409f8e1b2b7b251177c1",
                "short_code": "ob",
                "title": "ESA Cloud Climate Change Initiative (Cloud_cci): MODIS-AQUA monthly gridded cloud properties, version 2.0",
                "abstract": "The Cloud_cci MODIS-Aqua dataset was generated within the Cloud_cci project (http://www.esa-cloud-cci.org) which was funded by the European Space Agency (ESA) as part of the ESA Climate Change Initiative (CCI) programme (Contract No.: 4000109870/13/I-NB). This dataset is one of the 6 datasets generated in Cloud_cci; all of them being based on passive-imager satellite measurements. This dataset is based on MODIS (onboard Aqua) measurements and contains a variety of cloud properties which were derived employing the Community Cloud retrieval for Climate (CC4CL) retrieval system. The core cloud properties contained in the Cloud_cci MODIS-Aqua dataset are cloud mask/fraction, cloud phase, cloud top pressure/height/temperature, cloud optical thickness, cloud effective radius and cloud liquid/ice water path. Spectral cloud albedo is also included as experimental product. Level-3C product files contain monthly averages and histograms of the mentioned cloud properties together with propagated uncertainty measures."
            }
        },
        {
            "ob_id": 49316,
            "drsId": "esacci.CLOUD.mon.L3C.CLD_PRODUCTS.MODIS.Terra.MODIS_TERRA.2-0.r1",
            "version": "v20170330",
            "directory": "/neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0",
            "relatedTo": {
                "ob_id": 20381,
                "uuid": "f1ab07b5292f4813bd3090b51d270aa8",
                "short_code": "ob",
                "title": "ESA Cloud Climate Change Initiative (Cloud_cci): MODIS-TERRA monthly gridded cloud properties, version 2.0",
                "abstract": "The Cloud_cci MODIS-Terra dataset was generated within the Cloud_cci project (http://www.esa-cloud-cci.org) which was funded by the European Space Agency (ESA) as part of the ESA Climate Change Initiative (CCI) programme (Contract No.: 4000109870/13/I-NB). This dataset is one of the 6 datasets generated in Cloud_cci; all of them being based on passive-imager satellite measurements. This dataset is based on MODIS (onboard Terra) measurements and contains a variety of cloud properties which were derived employing the Community Cloud retrieval for Climate (CC4CL) retrieval system. The core cloud properties contained in the Cloud_cci MODIS-Terra dataset are cloud mask/fraction, cloud phase, cloud top pressure/height/temperature, cloud optical thickness, cloud effective radius and cloud liquid/ice water path. Spectral cloud albedo is also included as experimental product. Level-3C product files contain monthly averages and histograms of the mentioned cloud properties together with propagated uncertainty measures."
            }
        },
        {
            "ob_id": 49317,
            "drsId": "esacci.FIRE.15-days.L4.BA.MODIS.Terra.MODIS_TERRA.v5-0.r1",
            "version": "v20180521",
            "directory": "/neodc/esacci/fire/data/burned_area/MODIS/grid/v5.0",
            "relatedTo": {
                "ob_id": 25111,
                "uuid": "f1c9c7aa210d4564bd61ed1a81d51130",
                "short_code": "ob",
                "title": "ESA Fire Climate Change Initiative (Fire_cci): MODIS Fire_cci Burned Area Grid product, version 5.0",
                "abstract": "The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area developed from satellite observations. The MODIS Fire_cci v5.0 grid products described here are derived from the MODIS instrument onboard the TERRA satellite at 250m resolution for the period 2001 to 2016.  This is the first time that MODIS 250m resolution images are used for global burned area (BA) mapping.\r\n\r\nThis dataset is a  gridded product, derived from the MODIS Fire_cci v5.0 pixel product by summarising its burned area information into a regular grid covering the Earth for 15-day periods with 0.25 degree resolution. Information on burned area is included in 23 individual quantities: sum of burned area, standard error, fraction of burnable area, fraction of observed area, number of patches and the burned area for 18 land cover classes, as defined by the Land_Cover_cci v1.6.1 product. For further information on the product and its format see the Fire_cci product user guide in the linked documentation.\r\n\r\nPlease note, a new version of this dataset (v5.1) is now available."
            }
        },
        {
            "ob_id": 49318,
            "drsId": "esacci.GHG.satellite-orbit-frequency.L2.CH4.TANSO-FTS.GOSAT.EMMA.ch4_v1-2.r1",
            "version": "v20180702",
            "directory": "/neodc/esacci/ghg/data/crdp_4/EMMA/CH4/v1.2",
            "relatedTo": {
                "ob_id": 24692,
                "uuid": "9ed2813d2eda4d958e92ab3ce1ab1fe6",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 Merged Product generated with the EMMA algorithm (CH4_EMMA), version 1.2",
                "abstract": "The CH4_EMMA dataset is comprised of level 2, column-averaged dry-air mole fractions (mixing ratios) for methane (XCH4).  It has been produced using the ensemble median algorithm EMMA to several different versions of the Japanes Greenhouse gases Observing Satellite (GOSAT) XCH4 data, as part of the ESA Greenhouse Gases Climate Change Initiative (GHG_cci) project. This version of the product is v1.2, and forms part of the Climate Research Data Package 4.\r\n\r\nThe ensemble median algorithm EMMA has been applied to level 2 data of several different retrieval products from the Japanese Greenhouse gases Observing Satellite (GOSAT)    This is therefore a merged GOSAT XCH4 Level 2 product, which is 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).  \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)."
            }
        },
        {
            "ob_id": 49319,
            "drsId": "esacci.GHG.satellite-orbit-frequency.L2.CO2.TANSO-FTS.GOSAT.EMMA.v2-2c.r1",
            "version": "v20180702",
            "directory": "/neodc/esacci/ghg/data/crdp_4/EMMA/CO2/v2.2/emma_v2.2c",
            "relatedTo": {
                "ob_id": 25922,
                "uuid": "9f002827ba7d48f59019fcfd3577a57e",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged CO2 Merged Product generated with the EMMA algorithm (CO2_EMMA), v2.2",
                "abstract": "The CO2_EMMA dataset comprises of level 2, column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2).  It  has been produced using the ensample median algorithm EMMA to produce a merged SCIAMACHY and GOSAT XCO2 Level 2 product, as part of the ESA Greenhouse Gases Climate Change Initiative (GHG_cci) project.   This version of the product is v2.2, and forms part of the Climate Research Data Package 4.\r\n\r\nThe EMMA algorithm has been applied to level 2 data from multiple 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 merged SCIAMACHY and GOSAT XCO2 Level 2 product is 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).   \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)."
            }
        },
        {
            "ob_id": 49320,
            "drsId": "esacci.GHG.satellite-orbit-frequency.L2.CO2.multi-sensor.multi-platform.EMMA.v2-2a.r1",
            "version": "v20180702",
            "directory": "/neodc/esacci/ghg/data/crdp_4/EMMA/CO2/v2.2/emma_v2.2a",
            "relatedTo": {
                "ob_id": 25922,
                "uuid": "9f002827ba7d48f59019fcfd3577a57e",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged CO2 Merged Product generated with the EMMA algorithm (CO2_EMMA), v2.2",
                "abstract": "The CO2_EMMA dataset comprises of level 2, column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2).  It  has been produced using the ensample median algorithm EMMA to produce a merged SCIAMACHY and GOSAT XCO2 Level 2 product, as part of the ESA Greenhouse Gases Climate Change Initiative (GHG_cci) project.   This version of the product is v2.2, and forms part of the Climate Research Data Package 4.\r\n\r\nThe EMMA algorithm has been applied to level 2 data from multiple 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 merged SCIAMACHY and GOSAT XCO2 Level 2 product is 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).   \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)."
            }
        },
        {
            "ob_id": 49321,
            "drsId": "esacci.GHG.satellite-orbit-frequency.L2.CO2.multi-sensor.multi-platform.EMMA.v2-2b.r1",
            "version": "v20180702",
            "directory": "/neodc/esacci/ghg/data/crdp_4/EMMA/CO2/v2.2/emma_v2.2b",
            "relatedTo": {
                "ob_id": 25922,
                "uuid": "9f002827ba7d48f59019fcfd3577a57e",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged CO2 Merged Product generated with the EMMA algorithm (CO2_EMMA), v2.2",
                "abstract": "The CO2_EMMA dataset comprises of level 2, column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2).  It  has been produced using the ensample median algorithm EMMA to produce a merged SCIAMACHY and GOSAT XCO2 Level 2 product, as part of the ESA Greenhouse Gases Climate Change Initiative (GHG_cci) project.   This version of the product is v2.2, and forms part of the Climate Research Data Package 4.\r\n\r\nThe EMMA algorithm has been applied to level 2 data from multiple 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 merged SCIAMACHY and GOSAT XCO2 Level 2 product is 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).   \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)."
            }
        },
        {
            "ob_id": 49322,
            "drsId": "esacci.GHG.satellite-orbit-frequency.L2.CH4.TANSO-FTS.GOSAT.OCFP.v2-1.r1",
            "version": "v20180702",
            "directory": "/neodc/esacci/ghg/data/crdp_4/GOSAT/CH4_GOS_OCFP/v2.1",
            "relatedTo": {
                "ob_id": 25930,
                "uuid": "56f81895cb094bd8a1638aa12d6c7499",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from GOSAT generated with the OCFP (UoL-FP) algorithm (CH4_GOS_OCFP), version 2.1",
                "abstract": "The CH4_GOS_OCFP dataset is comprised of level 2, column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4). It 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), using the University of Leicester Full-Physics Retrieval Algorithm.   It has been generated as part of the European Space Agency (ESA) Greenhouse Gases Climate Change Initiative (GHG_cci) project.  This version is version 2.1 and forms part of the Climate Research Data Package 4.\r\n\r\nThe University of Leicester Full-Physics Retrieval Algorithm is based on the original Orbiting Carbon Observatory (OCO) Full Physics Retrieval Algorithm and has been modified for use on GOSAT spectra. A second GOSAT CH4 product, generated using the SRFP algorithm, is also available.\r\n\r\nThe XCH4 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)."
            }
        },
        {
            "ob_id": 49323,
            "drsId": "esacci.GHG.satellite-orbit-frequency.L2.CH4.TANSO-FTS.GOSAT.OCPR.v7-0.r1",
            "version": "v20180702",
            "directory": "/neodc/esacci/ghg/data/crdp_4/GOSAT/CH4_GOS_OCPR/v7.0",
            "relatedTo": {
                "ob_id": 25928,
                "uuid": "f9154243fd8744bdaf2a59c39033e659",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from GOSAT generated with the OCPR (UoL-PR) Proxy algorithm (CH4_GOS_OCPR), v7.0",
                "abstract": "This CH4_GOS_OCPR dataset is comprised of level 2, column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4.)  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), using the OCPR University of Leicester Proxy Retrieval Algorithm. It has been generated as part of the European Space Agency (ESA) Greenhouse Gases Climate Change Initiative (GHG_cci).  This version of the data is v7.0 and forms part of the Climate Research Data Package 4.\r\n\r\nThis algorithm has been designated the baseline algorithm for the GHG CCI proxy methane retrievals.  A second product has also been generated from the TANSO-FTS data using an alternative algorithm, the RemoTeC Proxy algorithm. It is advised that users who aren't sure whether to use the baseline or alternative product use this product generated with the OCPR baseline algorithm. For more information regarding the differences between baseline and alternative algorithms please see the GHG-CCI data products webpage.\r\n\r\nThe product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. For further details on the product, including the UoL-PR algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents."
            }
        },
        {
            "ob_id": 49324,
            "drsId": "esacci.GHG.satellite-orbit-frequency.L2.CH4.TANSO-FTS.GOSAT.SRFP.v2-3-8.r1",
            "version": "v20180702",
            "directory": "/neodc/esacci/ghg/data/crdp_4/GOSAT/CH4_GOS_SRFP/v2.3.8",
            "relatedTo": {
                "ob_id": 25932,
                "uuid": "46d136149d0a4f1cb8de7efbe8abf4b2",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from GOSAT generated with the SRFP (RemoTeC) Full Physics algorithm (CH4_GOS_SRFP), version 2.3.8",
                "abstract": "The CH4_GOS_SRFP dataset is comprised of level 2, column-averaged mole fractiona (mixing ratioa) of methane (XCH4). It 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) using the SRFP (RemoTec) algorithm.   It has been generated as part of the European Space Agency (ESA) Greenhouse Gases Climate Change Initiative (GHG_cci).  This version of the dataset is v2.3.8 and forms part of the Climate Research Data Package 4.\r\n\r\nThe RemoTeC SRFP baseline algorithm is a Full Physics algorithm.  The 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 products with and without bias correction. Information relevant for the use of the data is also included in the data file, such as the vertical layering and averaging kernels. Additionally, the parameters retrieved simultaneously with XCH4 are included (e.g. surface albedo), as well as retrieval diagnostics like retrieval errors and the quality of the fit. \r\n\r\nFor further information on the product, including the RemoTeC Full Physics algorithm and the TANSO-FTS instrument please see the Product User Guide (PUG) or the Algorithm Theoretical Basis Document."
            }
        },
        {
            "ob_id": 49325,
            "drsId": "esacci.GHG.satellite-orbit-frequency.L2.CH4.TANSO-FTS.GOSAT.SRPR.v2-3-8.r1",
            "version": "v20180702",
            "directory": "/neodc/esacci/ghg/data/crdp_4/GOSAT/CH4_GOS_SRPR/v2.3.8",
            "relatedTo": {
                "ob_id": 25934,
                "uuid": "96d5b75ea29946c5aab8214ddbab252b",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from GOSAT generated with the SRPR (RemoTeC) Proxy Retrieval algorithm (CH4_GOS_SRPR), version 2.3.8",
                "abstract": "The CH4_GOS_SRPR dataset is comprised of Level 2, column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4). It 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), using the RemoTeC SRPR Proxy Retrieval algorithm.   It has been generated as part of the European Space Agency (ESA) Greenhouse Gases Climate Change Initiative (GHG_cci) project.  This version of the data is version 2.3.8, and forms part of the Climate Research Data Package 4. \r\n\r\nThis Proxy Retrieval 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). 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."
            }
        },
        {
            "ob_id": 49326,
            "drsId": "esacci.GHG.satellite-orbit-frequency.L2.CO2.TANSO-FTS.GOSAT.OCFP.v7-0-1.r1",
            "version": "v20180702",
            "directory": "/neodc/esacci/ghg/data/crdp_4/GOSAT/CO2_GOS_OCFP/v7.0",
            "relatedTo": {
                "ob_id": 25918,
                "uuid": "9255faeb392f41debf5402caa40dada8",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG CCI): Column-averaged CO2 from GOSAT generated with the OCFP (UoL-FP) algorithm (CO2_GOS_OCFP), v7.0",
                "abstract": "The CO2_GOS_OCFP dataset comprises level 2, column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2) from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT). It has been produced using the University of Leicester Full-Physics Retrieval Algorithm, which is based on the original Orbiting Carbon Observatory (OCO) Full Physics Retrieval Algorithm and modified for use on GOSAT spectra. A second product, generated using the alternative SRFP algorithm, is also available. The OCFP product is considered the GHG_cci baseline product and it is advised that users who aren't sure which of the two products to use, use this product.  For more information regarding the differences between baseline and alternative algorithms please see the Greenhouse Gases CCI data products webpage.\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)."
            }
        },
        {
            "ob_id": 49327,
            "drsId": "esacci.GHG.satellite-orbit-frequency.L2.CO2.TANSO-FTS.GOSAT.SRFP.v2-3-8.r1",
            "version": "v20180702",
            "directory": "/neodc/esacci/ghg/data/crdp_4/GOSAT/CO2_GOS_SRFP/v2.3.8",
            "relatedTo": {
                "ob_id": 25920,
                "uuid": "e61704b00267405082fbd41bb710dd74",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CO2 from GOSAT generated with the SRFP (RemoTeC) algorithm (CO2_GOS_SRFP), v2.3.8",
                "abstract": "The CO2_GOS_SRFP dataset comprises level 2, column-averaged dry-air mole fractions (mixing ratios) for carbon dioxide (XCO2), from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT). It has been produced using the RemoTeC Full Physics (SRFP) algorithm, v2.3.8, by the Greenhouse Gases Climate Change Initiative (GHG_cci) project.  This forms part of the GHG_cci Climate Research Data Package Number 4 (CRDP#4).\r\n\r\nThe RemoTeC Full Physics (SRFP) algorithm has been jointly developed at SRON and KIT.   A second product, generated using the OCFP (University of Leicester Full Physics) algorithm, is also available, and is considered the GHG_cci baseline product, whilst the SRFP product forms an 'alternative' product.  It is advised that users who aren't sure whether to use the baseline or alternative product use the OCFP product.  For more information on the differences between baseline and alternative algorithms please see the Greenhouse Gases 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. 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."
            }
        },
        {
            "ob_id": 49328,
            "drsId": "esacci.GHG.satellite-orbit-frequency.L2.CH4.SCIAMACHY.Envisat.IMAP.v7-2.r1",
            "version": "v20180702",
            "directory": "/neodc/esacci/ghg/data/crdp_4/SCIAMACHY/CH4_SCI_IMAP/v7.2",
            "relatedTo": {
                "ob_id": 25926,
                "uuid": "8f5623a85d2e4b9b8ab5313f65a7c994",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from SCIAMACHY generated with the IMAP-DOAS algorithm (CH4_SCI_IMAP), v7.2",
                "abstract": "The CH4_SCI_IMAP dataset is comprised of level 2, column-averaged dry-air mole fractions (mixing ratios) of methane (CH4).  It 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 (ESA's) environmental research satellite ENVISAT using the IMAP-DOAS algorithm.   It has been generated as part of ESA Greenhouse Gases Climate Change Initiative (GHG_cci) project.   This version of the dataset is v7.2 and forms part of the Climate Research Data Package 4.\r\n\r\nThe IMAP-DOAS algorithm has been developed at the University of Heidelberg and SRON, and has been applied here to the SCIAMACHY data. This procedure and the algorithms validity are thoroughly described in Frankenberg et al (2011). A second product is also available which has been generated using the Weighting Function Modified DOAS (WFM-DOAS) algorithm. \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."
            }
        },
        {
            "ob_id": 49329,
            "drsId": "esacci.GHG.satellite-orbit-frequency.L2.CH4.SCIAMACHY.Envisat.WFMD.v4-0.r1",
            "version": "v20180702",
            "directory": "/neodc/esacci/ghg/data/crdp_4/SCIAMACHY/CH4_SCI_WFMD/v4.0",
            "relatedTo": {
                "ob_id": 25924,
                "uuid": "aa09603e91b44f3cb1573c9dd415e8a8",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CH4 from SCIAMACHY generated with the WFMD algorithm (CH4_SCI_WFMD), version 4.0",
                "abstract": "The CH4_SCI_WFMD dataset comprises level 2, column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4). It has been produced using data acquired from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's (ESA's) environmental research satellite ENVISAT, as part of the ESA's Greenhouse Gases Climate Change Initiative (GHG_cci) project.   This version of the data is version 4.0, and forms part of the Climate Research Data Package 4.\r\n\r\nThe Weighting Function Modified DOAS (WFMD) algorithm is a least-squares method based on scaling pre-selected atmospheric vertical profiles. A second product is also available, which has been generated from the SCIAMACHY data using the IMAP algorithm. \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."
            }
        },
        {
            "ob_id": 49330,
            "drsId": "esacci.GHG.satellite-orbit-frequency.L2.CO2.SCIAMACHY.Envisat.BESD.v02-01-02.r1",
            "version": "v20180702",
            "directory": "/neodc/esacci/ghg/data/crdp_4/SCIAMACHY/CO2_SCI_BESD/v02.01.02",
            "relatedTo": {
                "ob_id": 24693,
                "uuid": "294b4075ddbc4464bb06742816813bdc",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CO2 from SCIAMACHY generated with the BESD algorithm (CO2_SCI_BESD), v02.01.02",
                "abstract": "The CO2_SCI_BESD dataset comprises level 2, column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (CO2) from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) instrument on board the European Space Agency's (ESA's) environmental research satellite ENVISAT.  It has been produced using the Bremen Optimal Estimation DOAS (BESD) algorithm, by the ESA Greenhouse Gases Climate Change Initiative (GHG_cci) project.\r\n\r\nThe Bremen Optimal Estimation DOAS (BESD) algorithm is a full physics algorithm which uses measurements in the O2-A absorption band to retrieve scattering information about clouds and aerosols. This is the Greenhouse Gases CCI baseline algorithm for deriving SCIAMACHY XCO2 data.  A product has also been generated from the SCIAMACHY data using an alternative algorithm: the WFMD algorithm.   It is advised that users who aren't sure whether to use the baseline or alternative product use this BESD product. For more information regarding the differences between baseline and alternative algorithms please see the Greenhouse Gases CCI data products webpage.\r\n\r\nFor further information on the product, including details of the BESD algorithm and the SCIAMACHY instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents."
            }
        },
        {
            "ob_id": 49331,
            "drsId": "esacci.GHG.satellite-orbit-frequency.L2.CO2.SCIAMACHY.Envisat.WFMD.v4-0.r1",
            "version": "v20180702",
            "directory": "/neodc/esacci/ghg/data/crdp_4/SCIAMACHY/CO2_SCI_WFMD/v4.0",
            "relatedTo": {
                "ob_id": 25916,
                "uuid": "e493802d83c846c8b76f817866fb74cc",
                "short_code": "ob",
                "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CO2 from SCIAMACHY generated with the WFMD algorithm (CO2_SCI_WFMD), v4.0",
                "abstract": "The CO2_SCI_WFMD dataset comprises level 2, column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2) from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's environmental research satellite ENVISAT.   It has been produced using the Weighting Function Modified DOAS (WFM-DOAS) algorithm, by the ESA Greenhouse Gases Climate Change Initiative (GHG_cci) project.\r\n\r\nThe WFM-DOAS algorithm is 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).  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. \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."
            }
        },
        {
            "ob_id": 49332,
            "drsId": "esacci.LC.5-yrs.L4.LCCS.multi-sensor.multi-platform.Map.1-6-1.r1",
            "version": "v20170120",
            "directory": "/neodc/esacci/land_cover/data/land_cover_maps/v1.6.1",
            "relatedTo": {
                "ob_id": 14427,
                "uuid": "4761751d7c844e228ec2f5fe11b2e3b0",
                "short_code": "ob",
                "title": "ESA Land Cover Climate Change Initiative (Land_Cover_cci):  Global Land Cover Maps, Version 1.6.1",
                "abstract": "As part of the ESA Land Cover Climate Change Initiative (CCI) project a set of Global Land Cover Maps have been produced.  These are available at 300m spatial resolution for three epochs centred on the year 2010 (2008-2012), 2005 (2003-2007) and 2000 (1998-2002), where each epoch covers a 5-year period.\r\n\r\nEach pixel value corresponds to the label of a land cover class defined using UN-LCCS classifiers.  For each epoch, the land cover map is delivered along with 4 quality flags which document the reliability of the classification.  These are described further in the Product User Guides.\r\n\r\nFurther Land Cover CCI products, user tools and a product viewer are available at: http://maps.elie.ucl.ac.be/CCI/viewer/index.php"
            }
        },
        {
            "ob_id": 49333,
            "drsId": "esacci.LC.13-yrs.L4.WB.asar.Envisat.Map.4-0.r1",
            "version": "v20170120",
            "directory": "/neodc/esacci/land_cover/data/water_bodies/v4.0",
            "relatedTo": {
                "ob_id": 14549,
                "uuid": "7e139108035142a9a1ddd96abcdfff36",
                "short_code": "ob",
                "title": "ESA Land Cover Climate Change Initiative (Land_Cover_cci):  Water Bodies Map, v4.0",
                "abstract": "As part of the ESA Land Cover Climate Change Initiative (CCI) project a static map of open water bodies at 150 m spatial resolution at the equator has been produced.  \r\n\r\nThe CCI WB v4.0 is composed of two layers:\r\n\r\n1. A static map of open water bodies at 150 m spatial resolution resulting from a compilation and editions of land/water classifications: the Envisat ASAR water bodies indicator, a sub-dataset from the Global Forest Change 2000 - 2012 and the Global Inland Water product.\r\n\r\nThis product is delivered at 150 m as a stand-alone product but it is consistent with class \"Water Bodies\" of the annual MRLC (Medium Resolution Land Cover) Maps. The product was resampled to 300 m using an average algorithm. Legend : 1-Land, 2-Water\r\n\r\n2. A static map with the distinction between ocean and inland water is now available at 150 m spatial resolution. It is fully consistent with the CCI WB-Map v4.0. Legend: 0-Ocean, 1-Land.\r\n\r\nTo cite the CCI WB-Map v4.0, please refer to : Lamarche, C.; Santoro, M.; Bontemps, S.; D’Andrimont, R.; Radoux, J.; Giustarini, L.; Brockmann, C.; Wevers, J.; Defourny, P.; Arino, O. Compilation and Validation of SAR and Optical Data Products for a Complete and Global Map of Inland/Ocean Water Tailored to the Climate Modeling Community. Remote Sens. 2017, 9, 36. https://doi.org/10.3390/rs9010036"
            }
        },
        {
            "ob_id": 49334,
            "drsId": "esacci.OC.5-days.L3S.OC_PRODUCTS.multi-sensor.multi-platform.MERGED.3-1.geographic",
            "version": "v20180604",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/all_products/5day",
            "relatedTo": {
                "ob_id": 25366,
                "uuid": "97aebb95404a4bde8405e9cf7e32b9f8",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a geographic projection (All Products), Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 3.1 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).  Data are also available as monthly climatologies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49335,
            "drsId": "esacci.OC.8-days.L3S.OC_PRODUCTS.multi-sensor.multi-platform.MERGED.3-1.geographic",
            "version": "v20180704",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/all_products/8day",
            "relatedTo": {
                "ob_id": 25366,
                "uuid": "97aebb95404a4bde8405e9cf7e32b9f8",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a geographic projection (All Products), Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 3.1 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).  Data are also available as monthly climatologies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49336,
            "drsId": "esacci.OC.day.L3S.OC_PRODUCTS.multi-sensor.multi-platform.MERGED.3-1.geographic-1997-2016",
            "version": "v20180601",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/all_products/daily",
            "relatedTo": {
                "ob_id": 25366,
                "uuid": "97aebb95404a4bde8405e9cf7e32b9f8",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a geographic projection (All Products), Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 3.1 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).  Data are also available as monthly climatologies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49337,
            "drsId": "esacci.OC.mon.L3S.OC_PRODUCTS.multi-sensor.multi-platform.MERGED.3-1.geographic",
            "version": "v20180604",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/all_products/monthly",
            "relatedTo": {
                "ob_id": 25366,
                "uuid": "97aebb95404a4bde8405e9cf7e32b9f8",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a geographic projection (All Products), Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 3.1 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).  Data are also available as monthly climatologies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49338,
            "drsId": "esacci.OC.5-days.L3S.CHLOR_A.multi-sensor.multi-platform.MERGED.3-1.geographic",
            "version": "v20180604",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/chlor_a/5day",
            "relatedTo": {
                "ob_id": 25368,
                "uuid": "12d6f4bdabe144d7836b0807e65aa0e2",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at number of time resolutions (daily, 5day, 8day and monthly composites).   Note, this chlor_a data is also included in the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49339,
            "drsId": "esacci.OC.8-days.L3S.CHLOR_A.multi-sensor.multi-platform.MERGED.3-1.geographic",
            "version": "v20180703",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/chlor_a/8day",
            "relatedTo": {
                "ob_id": 25368,
                "uuid": "12d6f4bdabe144d7836b0807e65aa0e2",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at number of time resolutions (daily, 5day, 8day and monthly composites).   Note, this chlor_a data is also included in the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49340,
            "drsId": "esacci.OC.day.L3S.CHLOR_A.multi-sensor.multi-platform.MERGED.3-1.geographic-1997-2016",
            "version": "v20180601",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/chlor_a/daily",
            "relatedTo": {
                "ob_id": 25368,
                "uuid": "12d6f4bdabe144d7836b0807e65aa0e2",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at number of time resolutions (daily, 5day, 8day and monthly composites).   Note, this chlor_a data is also included in the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49341,
            "drsId": "esacci.OC.mon.L3S.CHLOR_A.multi-sensor.multi-platform.MERGED.3-1.geographic",
            "version": "v20180604",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/chlor_a/monthly",
            "relatedTo": {
                "ob_id": 25368,
                "uuid": "12d6f4bdabe144d7836b0807e65aa0e2",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a geographic projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 chlorophyll-a product (in mg/m3) on a geographic projection at 4 km spatial resolution and at number of time resolutions (daily, 5day, 8day and monthly composites).   Note, this chlor_a data is also included in the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49342,
            "drsId": "esacci.OC.5-days.L3S.IOP.multi-sensor.multi-platform.MERGED.3-1.geographic",
            "version": "v20180604",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/iop/5day",
            "relatedTo": {
                "ob_id": 25370,
                "uuid": "edaa7e7324e849f683d3726088a0c7bd",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a geographic projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 inherent optical properties (IOP) product (in mg/m3) on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).   Note, this the IOP data is also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49343,
            "drsId": "esacci.OC.8-days.L3S.IOP.multi-sensor.multi-platform.MERGED.3-1.geographic",
            "version": "v20180703",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/iop/8day",
            "relatedTo": {
                "ob_id": 25370,
                "uuid": "edaa7e7324e849f683d3726088a0c7bd",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a geographic projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 inherent optical properties (IOP) product (in mg/m3) on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).   Note, this the IOP data is also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49344,
            "drsId": "esacci.OC.day.L3S.IOP.multi-sensor.multi-platform.MERGED.3-1.geographic-1997-2016",
            "version": "v20180601",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/iop/daily",
            "relatedTo": {
                "ob_id": 25370,
                "uuid": "edaa7e7324e849f683d3726088a0c7bd",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a geographic projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 inherent optical properties (IOP) product (in mg/m3) on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).   Note, this the IOP data is also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49345,
            "drsId": "esacci.OC.mon.L3S.IOP.multi-sensor.multi-platform.MERGED.3-1.geographic",
            "version": "v20180604",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/iop/monthly",
            "relatedTo": {
                "ob_id": 25370,
                "uuid": "edaa7e7324e849f683d3726088a0c7bd",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a geographic projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 inherent optical properties (IOP) product (in mg/m3) on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).   Note, this the IOP data is also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49346,
            "drsId": "esacci.OC.5-days.L3S.K_490.multi-sensor.multi-platform.MERGED.3-1.geographic",
            "version": "v20180604",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/kd/5day",
            "relatedTo": {
                "ob_id": 25371,
                "uuid": "52266ccfbc3348a8afc27b67d6bbc6c2",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 3.1 inherent optical properties dataset at 490 nm and the solar zenith angle.   Note, these data are also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49347,
            "drsId": "esacci.OC.8-days.L3S.K_490.multi-sensor.multi-platform.MERGED.3-1.geographic",
            "version": "v20180703",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/kd/8day",
            "relatedTo": {
                "ob_id": 25371,
                "uuid": "52266ccfbc3348a8afc27b67d6bbc6c2",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 3.1 inherent optical properties dataset at 490 nm and the solar zenith angle.   Note, these data are also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49348,
            "drsId": "esacci.OC.day.L3S.K_490.multi-sensor.multi-platform.MERGED.3-1.geographic-1997-2016",
            "version": "v20180601",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/kd/daily",
            "relatedTo": {
                "ob_id": 25371,
                "uuid": "52266ccfbc3348a8afc27b67d6bbc6c2",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 3.1 inherent optical properties dataset at 490 nm and the solar zenith angle.   Note, these data are also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49349,
            "drsId": "esacci.OC.mon.L3S.K_490.multi-sensor.multi-platform.MERGED.3-1.geographic",
            "version": "v20180604",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/kd/monthly",
            "relatedTo": {
                "ob_id": 25371,
                "uuid": "52266ccfbc3348a8afc27b67d6bbc6c2",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 3.1 inherent optical properties dataset at 490 nm and the solar zenith angle.   Note, these data are also contained within the 'All Products' dataset.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49350,
            "drsId": "esacci.OC.5-days.L3S.RRS.multi-sensor.multi-platform.MERGED.3-1.geographic",
            "version": "v20180604",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/rrs/5day",
            "relatedTo": {
                "ob_id": 25373,
                "uuid": "806b30b9dc7f44e6bd56a46d8bccf279",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Remote Sensing Reflectance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).  Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data.    Note, this dataset is also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49351,
            "drsId": "esacci.OC.8-days.L3S.RRS.multi-sensor.multi-platform.MERGED.3-1.geographic",
            "version": "v20180703",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/rrs/8day",
            "relatedTo": {
                "ob_id": 25373,
                "uuid": "806b30b9dc7f44e6bd56a46d8bccf279",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Remote Sensing Reflectance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).  Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data.    Note, this dataset is also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49352,
            "drsId": "esacci.OC.day.L3S.RRS.multi-sensor.multi-platform.MERGED.3-1.geographic-1997-2016",
            "version": "v20180601",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/rrs/daily",
            "relatedTo": {
                "ob_id": 25373,
                "uuid": "806b30b9dc7f44e6bd56a46d8bccf279",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Remote Sensing Reflectance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).  Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data.    Note, this dataset is also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49353,
            "drsId": "esacci.OC.mon.L3S.RRS.multi-sensor.multi-platform.MERGED.3-1.geographic",
            "version": "v20180604",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/rrs/monthly",
            "relatedTo": {
                "ob_id": 25373,
                "uuid": "806b30b9dc7f44e6bd56a46d8bccf279",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a geographic projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Remote Sensing Reflectance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).  Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data.    Note, this dataset is also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49354,
            "drsId": "esacci.OC.5-days.L3S.OC_PRODUCTS.multi-sensor.multi-platform.MERGED.3-1.sinusoidal",
            "version": "v20180604",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/sinusoidal/netcdf/all_products/5day",
            "relatedTo": {
                "ob_id": 25381,
                "uuid": "55c20c0cb35b4a7c8ef8b65694fe46e2",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a sinusoidal projection (All Products), Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 3.1 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). \r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49355,
            "drsId": "esacci.OC.8-days.L3S.OC_PRODUCTS.multi-sensor.multi-platform.MERGED.3-1.sinusoidal",
            "version": "v20180704",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/sinusoidal/netcdf/all_products/8day",
            "relatedTo": {
                "ob_id": 25381,
                "uuid": "55c20c0cb35b4a7c8ef8b65694fe46e2",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a sinusoidal projection (All Products), Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 3.1 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). \r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49356,
            "drsId": "esacci.OC.day.L3S.OC_PRODUCTS.multi-sensor.multi-platform.MERGED.3-1.sinusoidal-1997-2016",
            "version": "v20180601",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/sinusoidal/netcdf/all_products/daily",
            "relatedTo": {
                "ob_id": 25381,
                "uuid": "55c20c0cb35b4a7c8ef8b65694fe46e2",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a sinusoidal projection (All Products), Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 3.1 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). \r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49357,
            "drsId": "esacci.OC.mon.L3S.OC_PRODUCTS.multi-sensor.multi-platform.MERGED.3-1.sinusoidal",
            "version": "v20180604",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/sinusoidal/netcdf/all_products/monthly",
            "relatedTo": {
                "ob_id": 25381,
                "uuid": "55c20c0cb35b4a7c8ef8b65694fe46e2",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a sinusoidal projection (All Products), Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 3.1 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). \r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49358,
            "drsId": "esacci.OC.5-days.L3S.CHLOR_A.multi-sensor.multi-platform.MERGED.3-1.sinusoidal",
            "version": "v20180604",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/sinusoidal/netcdf/chlor_a/5day",
            "relatedTo": {
                "ob_id": 25379,
                "uuid": "915d2340b178494f987a6942e263a2eb",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).   Note, the chlorophyll-a data are also included in the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49359,
            "drsId": "esacci.OC.8-days.L3S.CHLOR_A.multi-sensor.multi-platform.MERGED.3-1.sinusoidal",
            "version": "v20180703",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/sinusoidal/netcdf/chlor_a/8day",
            "relatedTo": {
                "ob_id": 25379,
                "uuid": "915d2340b178494f987a6942e263a2eb",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).   Note, the chlorophyll-a data are also included in the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49360,
            "drsId": "esacci.OC.day.L3S.CHLOR_A.multi-sensor.multi-platform.MERGED.3-1.sinusoidal-1997-2016",
            "version": "v20180601",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/sinusoidal/netcdf/chlor_a/daily",
            "relatedTo": {
                "ob_id": 25379,
                "uuid": "915d2340b178494f987a6942e263a2eb",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).   Note, the chlorophyll-a data are also included in the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49361,
            "drsId": "esacci.OC.mon.L3S.CHLOR_A.multi-sensor.multi-platform.MERGED.3-1.sinusoidal",
            "version": "v20180604",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/sinusoidal/netcdf/chlor_a/monthly",
            "relatedTo": {
                "ob_id": 25379,
                "uuid": "915d2340b178494f987a6942e263a2eb",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global chlorophyll-a data products gridded on a sinusoidal projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).   Note, the chlorophyll-a data are also included in the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49362,
            "drsId": "esacci.OC.5-days.L3S.IOP.multi-sensor.multi-platform.MERGED.3-1.sinusoidal",
            "version": "v20180604",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/sinusoidal/netcdf/iop/5day",
            "relatedTo": {
                "ob_id": 25363,
                "uuid": "584d4028633a4b7e9fa36da72dbd91c7",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a sinusoidal projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 inherent optical properties (IOP) product (in mg/m3) on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).   Note,  the IOP data are also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49363,
            "drsId": "esacci.OC.8-days.L3S.IOP.multi-sensor.multi-platform.MERGED.3-1.sinusoidal",
            "version": "v20180703",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/sinusoidal/netcdf/iop/8day",
            "relatedTo": {
                "ob_id": 25363,
                "uuid": "584d4028633a4b7e9fa36da72dbd91c7",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a sinusoidal projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 inherent optical properties (IOP) product (in mg/m3) on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).   Note,  the IOP data are also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49364,
            "drsId": "esacci.OC.day.L3S.IOP.multi-sensor.multi-platform.MERGED.3-1.sinusoidal-1997-2016",
            "version": "v20180601",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/sinusoidal/netcdf/iop/daily",
            "relatedTo": {
                "ob_id": 25363,
                "uuid": "584d4028633a4b7e9fa36da72dbd91c7",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a sinusoidal projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 inherent optical properties (IOP) product (in mg/m3) on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).   Note,  the IOP data are also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49365,
            "drsId": "esacci.OC.mon.L3S.IOP.multi-sensor.multi-platform.MERGED.3-1.sinusoidal",
            "version": "v20180604",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/sinusoidal/netcdf/iop/monthly",
            "relatedTo": {
                "ob_id": 25363,
                "uuid": "584d4028633a4b7e9fa36da72dbd91c7",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a sinusoidal projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 inherent optical properties (IOP) product (in mg/m3) on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).   Note,  the IOP data are also included in the 'All Products' dataset. \r\n\r\nThe inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49366,
            "drsId": "esacci.OC.5-days.L3S.K_490.multi-sensor.multi-platform.MERGED.3-1.sinusoidal",
            "version": "v20180604",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/sinusoidal/netcdf/kd/5day",
            "relatedTo": {
                "ob_id": 25377,
                "uuid": "159649796f2943689a836999016188f0",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 3.1 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49367,
            "drsId": "esacci.OC.8-days.L3S.K_490.multi-sensor.multi-platform.MERGED.3-1.sinusoidal",
            "version": "v20180703",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/sinusoidal/netcdf/kd/8day",
            "relatedTo": {
                "ob_id": 25377,
                "uuid": "159649796f2943689a836999016188f0",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 3.1 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49368,
            "drsId": "esacci.OC.day.L3S.K_490.multi-sensor.multi-platform.MERGED.3-1.sinusoidal-1997-2016",
            "version": "v20180601",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/sinusoidal/netcdf/kd/daily",
            "relatedTo": {
                "ob_id": 25377,
                "uuid": "159649796f2943689a836999016188f0",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 3.1 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49369,
            "drsId": "esacci.OC.mon.L3S.K_490.multi-sensor.multi-platform.MERGED.3-1.sinusoidal",
            "version": "v20180604",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/sinusoidal/netcdf/kd/monthly",
            "relatedTo": {
                "ob_id": 25377,
                "uuid": "159649796f2943689a836999016188f0",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 3.1 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49370,
            "drsId": "esacci.OC.5-days.L3S.RRS.multi-sensor.multi-platform.MERGED.3-1.sinusoidal",
            "version": "v20180604",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/sinusoidal/netcdf/rrs/5day",
            "relatedTo": {
                "ob_id": 25375,
                "uuid": "b64b1a0ad7874fb39791e99c57b944bc",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).  Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49371,
            "drsId": "esacci.OC.8-days.L3S.RRS.multi-sensor.multi-platform.MERGED.3-1.sinusoidal",
            "version": "v20180703",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/sinusoidal/netcdf/rrs/8day",
            "relatedTo": {
                "ob_id": 25375,
                "uuid": "b64b1a0ad7874fb39791e99c57b944bc",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).  Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49372,
            "drsId": "esacci.OC.day.L3S.RRS.multi-sensor.multi-platform.MERGED.3-1.sinusoidal-1997-2016",
            "version": "v20180601",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/sinusoidal/netcdf/rrs/daily",
            "relatedTo": {
                "ob_id": 25375,
                "uuid": "b64b1a0ad7874fb39791e99c57b944bc",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).  Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49373,
            "drsId": "esacci.OC.mon.L3S.RRS.multi-sensor.multi-platform.MERGED.3-1.sinusoidal",
            "version": "v20180604",
            "directory": "/neodc/esacci/ocean_colour/data/v3.1-release/sinusoidal/netcdf/rrs/monthly",
            "relatedTo": {
                "ob_id": 25375,
                "uuid": "b64b1a0ad7874fb39791e99c57b944bc",
                "short_code": "ob",
                "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection, Version 3.1",
                "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).  Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available."
            }
        },
        {
            "ob_id": 49374,
            "drsId": "esacci.OZONE.mon.L3.NP.multi-sensor.multi-platform.MERGED.fv0002.r1",
            "version": "v20180702",
            "directory": "/neodc/esacci/ozone/data/nadir_profiles/l3/merged/v0002",
            "relatedTo": {
                "ob_id": 14150,
                "uuid": "4eb4e801424a47f7b77434291921f889",
                "short_code": "ob",
                "title": "ESA Ozone Climate Change Initiative (Ozone CCI): Level 3 Nadir Ozone Profile Merged Data Product, version 2",
                "abstract": "This dataset contains Level 3 nadir profile ozone data  from the ESA Ozone Climate Change Initiative (CCI) project.   The Level 3 data are monthly averages on a regular 3D grid derived from level 2 ozone profiles.  In this version 2 of the dataset, data are available for 1997 and 2007 and 2008 only, and use data from the GOME instrument on ERS (1997) and the GOME-2 instrument on METOP-A (2007, 2008)."
            }
        },
        {
            "ob_id": 49375,
            "drsId": "esacci.OZONE.day.L3S.TC.multi-sensor.multi-platform.MERGED.fv0100.r1",
            "version": "v20170404",
            "directory": "/neodc/esacci/ozone/data/total_columns/l3/merged/v0100",
            "relatedTo": {
                "ob_id": 14149,
                "uuid": "0d2260ad4e2c42b6b14fe5b3308f5eaa",
                "short_code": "ob",
                "title": "ESA Ozone Climate Change Initiative (Ozone CCI): Level 3 Total Ozone Merged Data Product, version 01",
                "abstract": "This dataset is a monthly mean gridded total ozone data record (level 3) produced by the ESA Ozone Climate Change Initiative project (Ozone CCI).  The dataset is a prototype of a merged harmonised ozone data record combining ozone data from the GOME instrument on ERS-2, the SCIAMACHY instrument on ENVISAT and the GOME-2 instrument on METOP-A, and covers the period between April 1996 to June 2011."
            }
        },
        {
            "ob_id": 49376,
            "drsId": "esacci.SEAICE.day.L4.SICONC.multi-sensor.multi-platform.AMSR_25kmEASE2.2-1.NH",
            "version": "v20171214",
            "directory": "/neodc/esacci/sea_ice/data/sea_ice_concentration/L4/amsr/25km/v2.1/NH",
            "relatedTo": {
                "ob_id": 25057,
                "uuid": "f17f146a31b14dfd960cde0874236ee5",
                "short_code": "ob",
                "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci):  Sea Ice Concentration Climate Data Record from the AMSR-E and AMSR-2 instruments at 25km grid spacing, version 2.1",
                "abstract": "The dataset provides a Climate Data Record of Sea Ice Concentration (SIC) for the polar regions, derived from medium resolution passive microwave satellite data from the Advanced Microwave Scanning Radiometer series (AMSR-E and AMSR-2).  It is processed with an algorithm using medium resolution (19 GHz and 37 GHz) imaging channels, and has been gridded at 25km grid spacing.   This version of the product is v2.1, which is an extension of the v2.0 Sea_Ice_cci data and has identical data until 2015-12-25.\r\n\r\nThis product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project. The EUMETSAT OSI SAF contributed with access and re-use of part of its processing software and facilities.\r\n\r\nA SIC CDR at 50 km grid spacing is also available."
            }
        },
        {
            "ob_id": 49377,
            "drsId": "esacci.SEAICE.day.L4.SICONC.multi-sensor.multi-platform.AMSR_25kmEASE2.2-1.SH",
            "version": "v20171214",
            "directory": "/neodc/esacci/sea_ice/data/sea_ice_concentration/L4/amsr/25km/v2.1/SH",
            "relatedTo": {
                "ob_id": 25057,
                "uuid": "f17f146a31b14dfd960cde0874236ee5",
                "short_code": "ob",
                "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci):  Sea Ice Concentration Climate Data Record from the AMSR-E and AMSR-2 instruments at 25km grid spacing, version 2.1",
                "abstract": "The dataset provides a Climate Data Record of Sea Ice Concentration (SIC) for the polar regions, derived from medium resolution passive microwave satellite data from the Advanced Microwave Scanning Radiometer series (AMSR-E and AMSR-2).  It is processed with an algorithm using medium resolution (19 GHz and 37 GHz) imaging channels, and has been gridded at 25km grid spacing.   This version of the product is v2.1, which is an extension of the v2.0 Sea_Ice_cci data and has identical data until 2015-12-25.\r\n\r\nThis product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project. The EUMETSAT OSI SAF contributed with access and re-use of part of its processing software and facilities.\r\n\r\nA SIC CDR at 50 km grid spacing is also available."
            }
        },
        {
            "ob_id": 49378,
            "drsId": "esacci.SEAICE.day.L4.SICONC.multi-sensor.multi-platform.AMSR_50kmEASE2.2-1.NH",
            "version": "v20171214",
            "directory": "/neodc/esacci/sea_ice/data/sea_ice_concentration/L4/amsr/50km/v2.1/NH",
            "relatedTo": {
                "ob_id": 25058,
                "uuid": "5f75fcb0c58740d99b07953797bc041e",
                "short_code": "ob",
                "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci):  Sea Ice Concentration Climate Data Record from the AMSR-E and AMSR-2 instruments at 50km grid spacing, version 2.1",
                "abstract": "The dataset provides a Climate Data Record of Sea Ice Concentration (SIC) for the polar regions, derived from medium resolution passive microwave satellite data from the Advanced Microwave Scanning Radiometer series (AMSR-E and AMSR-2).  It is processed with an algorithm using coarse resolution (6 GHz and 37 GHz) imaging channels, and has been gridded at 50km grid spacing. This version of the product is v2.1, which is an extension of the version 2.0 Sea_Ice_cci dataset and has identical data until 2015-12-25.\r\n\r\nThis product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea_Ice_CCI project. The EUMETSAT OSI SAF contributed with access and re-use of part of its processing software and facilities.\r\n\r\nA SIC CDR at 25km grid spacing is also available."
            }
        },
        {
            "ob_id": 49379,
            "drsId": "esacci.SEAICE.day.L4.SICONC.multi-sensor.multi-platform.AMSR_50kmEASE2.2-1.SH",
            "version": "v20171214",
            "directory": "/neodc/esacci/sea_ice/data/sea_ice_concentration/L4/amsr/50km/v2.1/SH",
            "relatedTo": {
                "ob_id": 25058,
                "uuid": "5f75fcb0c58740d99b07953797bc041e",
                "short_code": "ob",
                "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci):  Sea Ice Concentration Climate Data Record from the AMSR-E and AMSR-2 instruments at 50km grid spacing, version 2.1",
                "abstract": "The dataset provides a Climate Data Record of Sea Ice Concentration (SIC) for the polar regions, derived from medium resolution passive microwave satellite data from the Advanced Microwave Scanning Radiometer series (AMSR-E and AMSR-2).  It is processed with an algorithm using coarse resolution (6 GHz and 37 GHz) imaging channels, and has been gridded at 50km grid spacing. This version of the product is v2.1, which is an extension of the version 2.0 Sea_Ice_cci dataset and has identical data until 2015-12-25.\r\n\r\nThis product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea_Ice_CCI project. The EUMETSAT OSI SAF contributed with access and re-use of part of its processing software and facilities.\r\n\r\nA SIC CDR at 25km grid spacing is also available."
            }
        },
        {
            "ob_id": 49380,
            "drsId": "esacci.SEAICE.satellite-orbit-frequency.L2P.SITHICK.SIRAL.CryoSat-2.NH.2-0.r1",
            "version": "v20180706",
            "directory": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L2P/cryosat2/v2.0/NH",
            "relatedTo": {
                "ob_id": 25873,
                "uuid": "5b6033bfb7f241e89132a83fdc3d5364",
                "short_code": "ob",
                "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci):  Northern hemisphere sea ice thickness from CryoSat-2   on the satellite swath (L2P), v2.0",
                "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the NH polar region, derived from the SIRAL (SAR Interferometer Radar ALtimeter) instrument on the CryoSat-2 satellite.   This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data for the months October to April annually on the satellite measurement grid (Level 2P) at the full sensor resolution for the period November 2010 to April 2017."
            }
        },
        {
            "ob_id": 49381,
            "drsId": "esacci.SEAICE.satellite-orbit-frequency.L2P.SITHICK.SIRAL.CryoSat-2.SH.2-0.r1",
            "version": "v20180706",
            "directory": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L2P/cryosat2/v2.0/SH",
            "relatedTo": {
                "ob_id": 25870,
                "uuid": "fbfae06e787b4fefb4b03cba2fd04bc3",
                "short_code": "ob",
                "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci):  Southern hemisphere sea ice thickness from CryoSat-2 on the satellite swath (L2P), v2.0",
                "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the SH polar region, derived from the SIRAL (SAR Interferometer Radar ALtimeter) instrument on the CryoSat-2 satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data on the satellite measurement grid (Level 2P) at the full sensor resolution for the period November 2010 to April 2017.  Note, the southern hemisphere sea ice thickness dataset is an experimental climate data record, as the algorithm does not properly considers the impact of the complex snow morphology in the freeboard retrieval. Sea ice thickness is provided for all months but needs to be considered biased high in areas with high snow depth and during the southern summer months. Please consult the Product User Guide (PUG) for more information."
            }
        },
        {
            "ob_id": 49382,
            "drsId": "esacci.SEAICE.satellite-orbit-frequency.L2P.SITHICK.RA-2.Envisat.NH.2-0.r1",
            "version": "v20180706",
            "directory": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L2P/envisat/v2.0/NH",
            "relatedTo": {
                "ob_id": 25866,
                "uuid": "54e2ee0803764b4e84c906da3f16d81b",
                "short_code": "ob",
                "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci):  Northern hemisphere sea ice thickness from Envisat on the satellite swath (L2P), v2.0",
                "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the northern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the Envisat satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data for the winter months of October to April annually on the satellite measurement grid (Level 2P) at the full sensor resolution for the period October 2002 to March 2012."
            }
        },
        {
            "ob_id": 49383,
            "drsId": "esacci.SEAICE.satellite-orbit-frequency.L2P.SITHICK.RA-2.Envisat.SH.2-0.r1",
            "version": "v20180706",
            "directory": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L2P/envisat/v2.0/SH",
            "relatedTo": {
                "ob_id": 25869,
                "uuid": "550d938da3184d0ca44a06a4c0c14ffa",
                "short_code": "ob",
                "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci):  Southern hemisphere sea ice thickness from Envisat on the satellite swath (L2P), v2.0",
                "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the southern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the Envisat satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data on the satellite measurement grid (Level 2P) at the full sensor resolution for the period October 2002 to March 2012.   Note, the southern hemisphere sea ice thickness dataset is an experimental climate data record, as the algorithm does not properly considers the impact of the complex snow morphology in the freeboard retrieval. Sea ice thickness is provided for all months but needs to be considered biased high in areas with high snow depth and during the southern summer months. Please consult the Product User Guide (PUG) for more information."
            }
        },
        {
            "ob_id": 49384,
            "drsId": "esacci.SEAICE.mon.L3C.SITHICK.SIRAL.CryoSat-2.NH25KMEASE2.2-0.r1",
            "version": "v20180706",
            "directory": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L3C/cryosat2/v2.0/NH",
            "relatedTo": {
                "ob_id": 25872,
                "uuid": "ff79d140824f42dd92b204b4f1e9e7c2",
                "short_code": "ob",
                "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Northern hemisphere sea ice thickness from the CryoSat-2 satellite on a monthly grid (L3C), v2.0",
                "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the Northern Hemisphere polar region, derived from the SIRAL (SAR Interferometer Radar ALtimeter) instrument on the CryoSat-2 satellite at Level 3C (L3C). This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly gridded sea ice thickness data on a Lambeth Azimuthal Equal Area grid for the period November 2010 to April 2017. Data are only available for the NH winter months, October - April."
            }
        },
        {
            "ob_id": 49385,
            "drsId": "esacci.SEAICE.mon.L3C.SITHICK.SIRAL.CryoSat-2.SH50KMEASE2.2-0.r1",
            "version": "v20180706",
            "directory": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L3C/cryosat2/v2.0/SH",
            "relatedTo": {
                "ob_id": 25871,
                "uuid": "48fc3d1e8ada405c8486ada522dae9e8",
                "short_code": "ob",
                "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci):  Southern hemisphere sea ice thickness from the CryoSat-2 satellite on a monthly grid (L3C), v2.0",
                "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the SH polar region, derived from the SIRAL (SAR Interferometer Radar ALtimeter) instrument on the CryoSat-2 satellite at Level 3C (L3C). This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides daily sea ice thickness data gridded on a Lambeth Azimuthal Equal Area grid for the period November 2010 to April 2017. Note, the southern hemisphere sea ice thickness dataset is an experimental climate data record, as the algorithm does not properly considers the impact of the complex snow morphology in the freeboard retrieval. Sea ice thickness is provided for all months but needs to be considered biased high in areas with high snow depth and during the southern summer months. Please consult the Product User Guide (PUG) for more information."
            }
        },
        {
            "ob_id": 49386,
            "drsId": "esacci.SEAICE.mon.L3C.SITHICK.RA-2.Envisat.NH25KMEASE2.2-0.r1",
            "version": "v20180706",
            "directory": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L3C/envisat/v2.0/NH",
            "relatedTo": {
                "ob_id": 25867,
                "uuid": "f4c34f4f0f1d4d0da06d771f6972f180",
                "short_code": "ob",
                "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci):  Northern hemisphere sea ice thickness from the Envisat satellite on a monthly grid (L3C), v2.0",
                "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the northern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the ENVISAT satellite at Level 3C (L3C). This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly gridded sea ice thickness data on a Lambeth Azimuthal Equal Area grid for the period October 2002 to March 2012. Data is only available for the NH winter months, October - April."
            }
        },
        {
            "ob_id": 49387,
            "drsId": "esacci.SEAICE.mon.L3C.SITHICK.RA-2.Envisat.SH50KMEASE2.2-0.r1",
            "version": "v20180706",
            "directory": "/neodc/esacci/sea_ice/data/sea_ice_thickness/L3C/envisat/v2.0/SH",
            "relatedTo": {
                "ob_id": 25868,
                "uuid": "b1f1ac03077b4aa784c5a413a2210bf5",
                "short_code": "ob",
                "title": "ESA Sea Ice Climate Change Initiative (Sea_Ice_cci):  Southern hemisphere sea ice thickness from the Envisat satellite on a monthly grid (L3C), v2.0",
                "abstract": "This dataset provides a Climate Data Record of Sea Ice Thickness for the southern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the Envisat satellite at Level 3C (L3C). This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project.\r\n\r\nIt provides monthly gridded sea ice thickness data on a Lambeth Azimuthal Equal Area Projection for the period October 2002 to March 2012. Note, the southern hemisphere sea ice thickness dataset is an experimental climate data record, as the algorithm does not properly considers the impact of the complex snow morphology in the freeboard retrieval. Sea ice thickness is provided for all months but needs to be considered biased high in areas with high snow depth and during the southern summer months. Please consult the Product User Guide (PUG) for more information."
            }
        },
        {
            "ob_id": 49388,
            "drsId": "esacci.SEALEVEL.mon.IND.MSL.multi-sensor.multi-platform.MERGED.2-0.r1",
            "version": "v20170126",
            "directory": "/neodc/esacci/sea_level/data/IND/v2.0/MSL/",
            "relatedTo": {
                "ob_id": 20337,
                "uuid": "3ac333b828b54e3495c7749f5bce2fe3",
                "short_code": "ob",
                "title": "ESA Sea Level Climate Change Initiative (Sea_Level_cci): Oceanic Indicators of Mean Sea Level Changes,  Version 2.0",
                "abstract": "As part of the European Space Agency's (ESA) Sea Level Climate Change Initiative (CCI) project, a number of oceanic indicators of mean sea level changes have been produced from merging satellite altimetry measurements of sea level anomalies.  The oceanic indicators dataset consists of static files covering the whole altimeter period, describing the evolution of the project's monthly sea level anomaly gridded product (see separate dataset record).\r\n\r\nThe oceanic indicators that are provided are: \r\n1) the temporal evolution of the global Mean Sea Level (MSL) DOI: 10.5270/esa-sea_level_cci-IND_MSL_MERGED-1993_2015-v_2.0-201612 ;\r\n2) the geographic distribution of Mean Sea Level changes (MSLTR) DOI: 10.5270/esa-sea_level_cci-IND_MSLTR_MERGED-1993_2015-v_2.0-201612 ;\r\n3) Maps of the amplitude and phase of the annual cycle (MSLAMPH) DOI: 10.5270/esa-sea_level_cci-IND_MSLAMPH_MERGED-1993_2015-v_2.0-201612.\r\n\r\nThe complete collection of v2.0 products from the Sea Level CCI project can be referenced using the following  DOI: 10.5270/esa-sea_level_cci-1993_2015-v_2.0-201612.\r\n\r\nWhen using or referring to the SL_cci products, please mention the associated DOIs and also use the following citation where a detailed description of the SL_cci project and products can be found:\r\n\r\nAblain, M., Cazenave, A., Larnicol, G., Balmaseda, M., Cipollini, P., Faugère, Y., Fernandes, M. J., Henry, O., Johannessen, J. A., Knudsen, P., Andersen, O., Legeais, J., Meyssignac, B., Picot, N., Roca, M., Rudenko, S., Scharffenberg, M. G., Stammer, D., Timms, G., and Benveniste, J.: Improved sea level record over the satellite altimetry era (1993–2010) from the Climate Change Initiative project, Ocean Sci., 11, 67-82, doi:10.5194/os-11-67-2015, 2015.\r\n\r\nFor further information on the Sea Level CCI products, and to register for these products please email: info-sealevel@esa-sealevel-cci.org\r\n\r\n"
            }
        },
        {
            "ob_id": 49389,
            "drsId": "esacci.SEALEVEL.mon.IND.MSLAMPH.multi-sensor.multi-platform.MERGED.2-0.r1",
            "version": "v20170126",
            "directory": "/neodc/esacci/sea_level/data/IND/v2.0/MSLAMPH/",
            "relatedTo": {
                "ob_id": 20337,
                "uuid": "3ac333b828b54e3495c7749f5bce2fe3",
                "short_code": "ob",
                "title": "ESA Sea Level Climate Change Initiative (Sea_Level_cci): Oceanic Indicators of Mean Sea Level Changes,  Version 2.0",
                "abstract": "As part of the European Space Agency's (ESA) Sea Level Climate Change Initiative (CCI) project, a number of oceanic indicators of mean sea level changes have been produced from merging satellite altimetry measurements of sea level anomalies.  The oceanic indicators dataset consists of static files covering the whole altimeter period, describing the evolution of the project's monthly sea level anomaly gridded product (see separate dataset record).\r\n\r\nThe oceanic indicators that are provided are: \r\n1) the temporal evolution of the global Mean Sea Level (MSL) DOI: 10.5270/esa-sea_level_cci-IND_MSL_MERGED-1993_2015-v_2.0-201612 ;\r\n2) the geographic distribution of Mean Sea Level changes (MSLTR) DOI: 10.5270/esa-sea_level_cci-IND_MSLTR_MERGED-1993_2015-v_2.0-201612 ;\r\n3) Maps of the amplitude and phase of the annual cycle (MSLAMPH) DOI: 10.5270/esa-sea_level_cci-IND_MSLAMPH_MERGED-1993_2015-v_2.0-201612.\r\n\r\nThe complete collection of v2.0 products from the Sea Level CCI project can be referenced using the following  DOI: 10.5270/esa-sea_level_cci-1993_2015-v_2.0-201612.\r\n\r\nWhen using or referring to the SL_cci products, please mention the associated DOIs and also use the following citation where a detailed description of the SL_cci project and products can be found:\r\n\r\nAblain, M., Cazenave, A., Larnicol, G., Balmaseda, M., Cipollini, P., Faugère, Y., Fernandes, M. J., Henry, O., Johannessen, J. A., Knudsen, P., Andersen, O., Legeais, J., Meyssignac, B., Picot, N., Roca, M., Rudenko, S., Scharffenberg, M. G., Stammer, D., Timms, G., and Benveniste, J.: Improved sea level record over the satellite altimetry era (1993–2010) from the Climate Change Initiative project, Ocean Sci., 11, 67-82, doi:10.5194/os-11-67-2015, 2015.\r\n\r\nFor further information on the Sea Level CCI products, and to register for these products please email: info-sealevel@esa-sealevel-cci.org\r\n\r\n"
            }
        },
        {
            "ob_id": 49390,
            "drsId": "esacci.SEALEVEL.mon.IND.MSLTR.multi-sensor.multi-platform.MERGED.2-0.r1",
            "version": "v20170126",
            "directory": "/neodc/esacci/sea_level/data/IND/v2.0/MSLTR/",
            "relatedTo": {
                "ob_id": 20337,
                "uuid": "3ac333b828b54e3495c7749f5bce2fe3",
                "short_code": "ob",
                "title": "ESA Sea Level Climate Change Initiative (Sea_Level_cci): Oceanic Indicators of Mean Sea Level Changes,  Version 2.0",
                "abstract": "As part of the European Space Agency's (ESA) Sea Level Climate Change Initiative (CCI) project, a number of oceanic indicators of mean sea level changes have been produced from merging satellite altimetry measurements of sea level anomalies.  The oceanic indicators dataset consists of static files covering the whole altimeter period, describing the evolution of the project's monthly sea level anomaly gridded product (see separate dataset record).\r\n\r\nThe oceanic indicators that are provided are: \r\n1) the temporal evolution of the global Mean Sea Level (MSL) DOI: 10.5270/esa-sea_level_cci-IND_MSL_MERGED-1993_2015-v_2.0-201612 ;\r\n2) the geographic distribution of Mean Sea Level changes (MSLTR) DOI: 10.5270/esa-sea_level_cci-IND_MSLTR_MERGED-1993_2015-v_2.0-201612 ;\r\n3) Maps of the amplitude and phase of the annual cycle (MSLAMPH) DOI: 10.5270/esa-sea_level_cci-IND_MSLAMPH_MERGED-1993_2015-v_2.0-201612.\r\n\r\nThe complete collection of v2.0 products from the Sea Level CCI project can be referenced using the following  DOI: 10.5270/esa-sea_level_cci-1993_2015-v_2.0-201612.\r\n\r\nWhen using or referring to the SL_cci products, please mention the associated DOIs and also use the following citation where a detailed description of the SL_cci project and products can be found:\r\n\r\nAblain, M., Cazenave, A., Larnicol, G., Balmaseda, M., Cipollini, P., Faugère, Y., Fernandes, M. J., Henry, O., Johannessen, J. A., Knudsen, P., Andersen, O., Legeais, J., Meyssignac, B., Picot, N., Roca, M., Rudenko, S., Scharffenberg, M. G., Stammer, D., Timms, G., and Benveniste, J.: Improved sea level record over the satellite altimetry era (1993–2010) from the Climate Change Initiative project, Ocean Sci., 11, 67-82, doi:10.5194/os-11-67-2015, 2015.\r\n\r\nFor further information on the Sea Level CCI products, and to register for these products please email: info-sealevel@esa-sealevel-cci.org\r\n\r\n"
            }
        },
        {
            "ob_id": 49391,
            "drsId": "esacci.SOILMOISTURE.day.L3S.SSMS.multi-sensor.multi-platform.ACTIVE.03-2.r1",
            "version": "v20170611",
            "directory": "/neodc/esacci/soil_moisture/data/daily_files/ACTIVE/v03.2",
            "relatedTo": {
                "ob_id": 24712,
                "uuid": "c657ee46354d480b8cf668addf0b43f2",
                "short_code": "ob",
                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): 'Active' Product, Version 03.2",
                "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, AMSR2,. and SMOS satellite instruments. The 'Combined Product' is then a blended product based on the former two data sets.\r\n\r\nThe v03.2 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 2015-12-31 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. 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 of the following references:\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014"
            }
        },
        {
            "ob_id": 49392,
            "drsId": "esacci.SOILMOISTURE.day.L3S.SSMS.multi-sensor.multi-platform.ACTIVE.04-2.r1",
            "version": "v20180618",
            "directory": "/neodc/esacci/soil_moisture/data/daily_files/ACTIVE/v04.2",
            "relatedTo": {
                "ob_id": 26234,
                "uuid": "f77cbcfbb6214448aebaa2119d829692",
                "short_code": "ob",
                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): 'Active' Product, Version 04.2",
                "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, AMSR2, and SMOS satellite instruments. The 'Combined Product' is then a blended product based on the former two data sets.\r\n\r\nThe v04.2 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 2016-12-31 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. 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 of the following references:\r\n\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014"
            }
        },
        {
            "ob_id": 49393,
            "drsId": "esacci.SOILMOISTURE.day.L3S.SSMV.multi-sensor.multi-platform.COMBINED.03-2.r1",
            "version": "v20170611",
            "directory": "/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v03.2",
            "relatedTo": {
                "ob_id": 24715,
                "uuid": "7c7a38b2d2ce448b99194bff85a85248",
                "short_code": "ob",
                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): 'Combined' Product, Version 03.2",
                "abstract": "The Soil Moisture CCI 'Combined' 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 being respectively fusions of scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satelllite instruments. \r\n\r\nThe 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 2015-12-31. 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 of the following references:\r\n\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014"
            }
        },
        {
            "ob_id": 49394,
            "drsId": "esacci.SOILMOISTURE.day.L3S.SSMV.multi-sensor.multi-platform.COMBINED.04-2.r1",
            "version": "v20180618",
            "directory": "/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v04.2",
            "relatedTo": {
                "ob_id": 26242,
                "uuid": "0869e3b34fa4465a911e2588396ff1ec",
                "short_code": "ob",
                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): 'Combined' Product, Version 04.2",
                "abstract": "The Soil Moisture CCI 'Combined' 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 being respectively fusions of scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. \r\n\r\nThe v04.2 Combined 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 2016-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document.  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 of the following references:\r\n\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014"
            }
        },
        {
            "ob_id": 49395,
            "drsId": "esacci.SOILMOISTURE.day.L3S.SSMV.multi-sensor.multi-platform.PASSIVE.03-2.r1",
            "version": "v20170611",
            "directory": "/neodc/esacci/soil_moisture/data/daily_files/PASSIVE/v03.2",
            "relatedTo": {
                "ob_id": 24714,
                "uuid": "71e20f6a7d6e4ec392f9afcbce14eced",
                "short_code": "ob",
                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): 'Passive' Product, Version 03.2",
                "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 radiometer soil moisture products, merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. 'Active' and 'Combined' products have also been created, the 'Active' product being a fusion of AMI-WS and ASCAT derived scatterometer products and the 'Combined Product' being a blended product based on the former two data sets. \r\n\r\nThe v03.2 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 2015-12-31. 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. 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 of the following references:\r\n\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014"
            }
        },
        {
            "ob_id": 49396,
            "drsId": "esacci.SOILMOISTURE.day.L3S.SSMV.multi-sensor.multi-platform.PASSIVE.04-2.r1",
            "version": "v20180618",
            "directory": "/neodc/esacci/soil_moisture/data/daily_files/PASSIVE/v04.2",
            "relatedTo": {
                "ob_id": 26239,
                "uuid": "a4f9546935a644d3b3260b7f6a0a183f",
                "short_code": "ob",
                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): 'Passive' Product, Version 04.2",
                "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 radiometer soil moisture products, merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. 'Active' and 'Combined' products have also been created, the 'Active' product being a fusion of AMI-WS and ASCAT derived scatterometer products and the 'Combined Product' being a blended product based on the former two data sets. \r\n\r\nThe v04.2 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 2016-12-31. 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. 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 of the following references:\r\n\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014"
            }
        },
        {
            "ob_id": 49397,
            "drsId": "esacci.SST.day.L4.SSTdepth.multi-sensor.multi-platform.OSTIA.1-1.r1",
            "version": "v20160909",
            "directory": "/neodc/esacci/sst/data/lt/Analysis/L4/v01.1",
            "relatedTo": {
                "ob_id": 13928,
                "uuid": "c65ce27928f34ebd92224c451c2a8bed",
                "short_code": "ob",
                "title": "ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI): Analysis long term product version 1.1",
                "abstract": "The ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI) dataset accurately maps the surface temperature of the global oceans over the period 1991 to 2010, using observations from many satellites. The data provides an independently quantified SST to a quality suitable for climate research.\r\n\r\nThe ESA SST CCI Analysis Long Term Product consists of daily, spatially complete fields of sea surface temperature (SST), obtained by combining the orbit data from the AVHRR and ATSR ESA SST CCI Long Term Products, using optimal interpolation to provide SSTs where there were no measurements.  These data cover the period between 09/1991 and 12/2010.\r\n\r\nThe Version 1.1  data is an update of the Version 1.0 dataset.\r\n\r\nVersion 1.0 of this dataset is cited in: Merchant, C. J., Embury, O., Roberts-Jones, J., Fiedler, E., Bulgin, C. E., Corlett, G. K., Good, S., McLaren, A., Rayner, N., Morak-Bozzo, S. and Donlon, C. (2014), Sea surface temperature datasets for climate applications from Phase 1 of the European Space Agency Climate Change Initiative (SST CCI). Geoscience Data Journal. doi: 10.1002/gdj3.20"
            }
        },
        {
            "ob_id": 49398,
            "drsId": "esacci.FIRE.mon.L4.BA.MODIS.Terra.MODIS_TERRA.v5-1.r1",
            "version": "v20200422",
            "directory": "/neodc/esacci/fire/data/burned_area/MODIS/grid/v5.1",
            "relatedTo": {
                "ob_id": 26433,
                "uuid": "3628cb2fdba443588155e15dee8e5352",
                "short_code": "ob",
                "title": "ESA Fire Climate Change Initiative (Fire_cci): MODIS Fire_cci Burned Area Grid product, version 5.1",
                "abstract": "The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area derived from satellite observations. The MODIS Fire_cci v5.1 grid product described here contains gridded data on global burned area derived from the MODIS instrument onboard the TERRA satellite at 250m resolution for the period 2001 to 2019.  This product supercedes the previously available MODIS v5.0 product. The v5.1 dataset was initially published for 2001-2017, and has later been periodically extended to include 2018 to 2022. \r\n\r\nThis gridded dataset has been derived from the MODIS Fire_cci v5.1 pixel product (also available) by summarising its burned area information into a regular grid covering the Earth at 0.25 x 0.25 degrees resolution and at monthly temporal resolution.   Information on burned area is included in 23 individual quantities: sum of burned area, standard error, fraction of burnable area, fraction of observed area, number of patches and the burned area for 18 land cover classes, as defined by the Land_Cover_cci v2.0.7  product. For further information on the product and its format see the Fire_cci product user guide in the linked documentation."
            }
        },
        {
            "ob_id": 49399,
            "drsId": "esacci.SOILMOISTURE.day.L3S.SSMV.multi-sensor.multi-platform.PASSIVE.04-4.r1",
            "version": "v20190708",
            "directory": "/neodc/esacci/soil_moisture/data/daily_files/PASSIVE/v04.4",
            "relatedTo": {
                "ob_id": 27108,
                "uuid": "bac3632d641642988c4abf55c587eed0",
                "short_code": "ob",
                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE Product, Version 04.4",
                "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 merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. ACTIVE and COMBINED products have also been created.\r\n\r\nThe v04.4 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 2018-06-30. 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. 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 of the following references:\r\n\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014"
            }
        },
        {
            "ob_id": 49400,
            "drsId": "esacci.SOILMOISTURE.day.L3S.SSMS.multi-sensor.multi-platform.ACTIVE.04-4.r1",
            "version": "v20190708",
            "directory": "/neodc/esacci/soil_moisture/data/daily_files/ACTIVE/v04.4",
            "relatedTo": {
                "ob_id": 27092,
                "uuid": "8d4360b5c6cd48eb967286da31b33567",
                "short_code": "ob",
                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE Product, Version 04.4",
                "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. \r\n\r\nThe v04.4 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 2018-06-30 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. 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 of the following references:\r\n\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014"
            }
        },
        {
            "ob_id": 49401,
            "drsId": "esacci.SOILMOISTURE.day.L3S.SSMV.multi-sensor.multi-platform.COMBINED.04-4.r1",
            "version": "v20190708",
            "directory": "/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v04.4",
            "relatedTo": {
                "ob_id": 27110,
                "uuid": "a341b3dcb0d8416498acc70dd14faa6e",
                "short_code": "ob",
                "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED Product, Version 04.4",
                "abstract": "The Soil Moisture CCI COMBINED 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 directly merging Level 2 scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. \r\n\r\nThe v04.4 COMBINED 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 2018-06-30. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document.  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 of the following references:\r\n\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014"
            }
        },
        {
            "ob_id": 59338,
            "drsId": "CMIP6.AerChemMIP.BCC.BCC-ESM1.histSST.r1i1p1f1.Amon.ch4.gn.v20190701",
            "version": "v20190701",
            "directory": "/badc/cmip6/data/CMIP6/AerChemMIP/BCC/BCC-ESM1/histSST/r1i1p1f1/Amon/ch4/gn/v20190701",
            "relatedTo": {
                "ob_id": 28266,
                "uuid": "d2f356f56a3f4d4fb3e245ef6108a30f",
                "short_code": "ob",
                "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output for the \"histSST\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-ESM1 model output for the \"historical prescribed SSTs and historical forcing\" (histSST) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            }
        },
        {
            "ob_id": 59339,
            "drsId": "CMIP6.AerChemMIP.BCC.BCC-ESM1.histSST.r1i1p1f1.Amon.cli.gn.v20190701",
            "version": "v20190701",
            "directory": "/badc/cmip6/data/CMIP6/AerChemMIP/BCC/BCC-ESM1/histSST/r1i1p1f1/Amon/cli/gn/v20190701",
            "relatedTo": {
                "ob_id": 28266,
                "uuid": "d2f356f56a3f4d4fb3e245ef6108a30f",
                "short_code": "ob",
                "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output for the \"histSST\" experiment",
                "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-ESM1 model output for the \"historical prescribed SSTs and historical forcing\" (histSST) experiment. These are available at the following frequencies: Amon and Lmon. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record."
            }
        }
    ]
}