Observation Collection List
Get a list of Collections objects. Collections have a 1:1 mapping with Observations.
### Available end points:
- `/observationcollections/` - Will list all Collections in the database
- `/observationcollections.json` - Will return all Collections in json format
- `/observationcollections/<object_id>/` - Returns Collections object with that id
### Available Methods:
- `GET`
- `HEAD`
### Available filters:
- `uuid`
- `title`
- `keywords`
- `discoveryKeywords`
- `publicationState`
### How to use filters:
- `/observationcollections/?uuid=ab4ca8d019d148f78afba1cd20872bdd`
- `/observationcollections.json?publicationState=citable`
GET /api/v2/observationcollections/?format=api&offset=500
{ "count": 947, "next": "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/?format=api&limit=100&offset=600", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/?format=api&limit=100&offset=400", "results": [ { "ob_id": 24366, "uuid": "da178ab717344a08adaf552151f21857", "title": "HYPPOS: in-situ airborne observations by the DO228-212 /D-CFFU - DLR aircraft aircraft", "abstract": "In-situ airborne observations by the DO228-212 /D-CFFU - DLR aircraft aircraft for HYPPOS- HYdrodynamic control of Primary Producers in Optically Shallow fluvial lakes .", "keywords": "HYPPOS, EUFAR, aircraft, hyperspectral, remote sensing", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-01-22T09:50:18", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24365/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99798/?format=api" ] }, { "ob_id": 24371, "uuid": "e731614223bf470aa8510e64f2562ce1", "title": "RAIN4DUST: in-situ airborne observations by the FA20 - SAFIRE aircraft aircraft", "abstract": "In-situ airborne observations by the FA20 - SAFIRE aircraft aircraft for RAIN4DUST - Contribution of flash floods to the variability of dust emission in the Sahara .", "keywords": "RAIN4DUST, EUFAR, aircraft, atmospheric", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-01-22T09:50:29", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24379/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99817/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99818/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99819/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99820/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99821/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99822/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99823/?format=api" ] }, { "ob_id": 24384, "uuid": "9e8d1f472c454ceca12b59577d95049a", "title": "UR-TIR: in-situ airborne observations by the CASA 212 RS - INTA aircraft aircraft", "abstract": "In-situ airborne observations by the CASA 212 RS - INTA aircraft aircraft for UR-TIR- Urban mapping with airborne thermal infra red imagery .", "keywords": "UR-TIR, EUFAR, aircraft, hyperspectral, remote sensing", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-01-22T09:51:32", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24383/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24388/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99869/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99862/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99863/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99861/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99865/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99866/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99867/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99868/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99864/?format=api" ] }, { "ob_id": 24393, "uuid": "780e9bb79a1c4280aa3b96241bbd62d5", "title": "REFLEX: in-situ airborne observations by the CASA 212 RS - INTA aircraft aircraft", "abstract": "In-situ airborne observations by the CASA 212 RS - INTA aircraft aircraft for REFLEX- Regional Experiments For Land-atmosphere EXchanges.", "keywords": "REFLEX, EUFAR, aircraft, hyperspectral, remote sensing", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-01-22T09:51:24", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24392/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24397/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24401/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99895/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99896/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99897/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99898/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99899/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99900/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99901/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99902/?format=api" ] }, { "ob_id": 24406, "uuid": "5cc1d6587533461fbfaf7d9fcc5ce86c", "title": "HYMOUNTECOS: in-situ airborne observations by the DO228-212 /D-CFFU - DLR aircraft aircraft", "abstract": "In-situ airborne observations by the DO228-212 /D-CFFU - DLR aircraft aircraft for HyMountEcos- Hyperspectral Remote Sensing for Mountain Ecosystems (HYMOUNTECOS).", "keywords": "HYMOUNTECOS, EUFAR, aircraft, hyperspectral, remote sensing", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-01-22T09:51:41", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24405/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24410/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24414/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24418/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99950/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99942/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99943/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99949/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99941/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99946/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99947/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99948/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99944/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/99945/?format=api" ] }, { "ob_id": 24423, "uuid": "0f98ddb81f044c9f8eb2141767076c50", "title": "VESSAER: in-situ airborne observations by the ENDURO - KIT aircraft aircraft", "abstract": "In-situ airborne observations by the ENDURO - KIT aircraft aircraft for VESSAER - VErtical Structure and Sources of AERosols in the Mediterranean Region .", "keywords": "VESSAER, EUFAR, aircraft, atmospheric", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-01-22T09:51:48", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24422/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24427/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24431/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24435/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24439/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24443/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24447/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24451/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100014/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100013/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100009/?format=api" ] }, { "ob_id": 24456, "uuid": "e8e304c1449646d79f958becaab4276c", "title": "WALITEMP: in-situ airborne observations by the ATR42 - SAFIRE aircraft aircraft", "abstract": "In-situ airborne observations by the ATR42 - SAFIRE aircraft aircraft for WaLiTemp- Inter-comparison of airborne and ground-based lidar measurements for the characterization of atmospheric water vapour and temperature profiles (WALITEMP).", "keywords": "WALITEMP, EUFAR, aircraft, atmospheric", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-01-22T09:50:10", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24455/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24460/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24464/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24468/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100120/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100121/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100119/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100123/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100124/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100125/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100126/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100122/?format=api" ] }, { "ob_id": 24473, "uuid": "29b566562d0c4a9b969c65874091e74a", "title": "DEHESHYRE: in-situ airborne observations by the CASA 212 RS - INTA aircraft aircraft", "abstract": "In-situ airborne observations by the CASA 212 RS - INTA aircraft aircraft for DEHESHyrE- Monitoring mass and energy fluxes in a manipulated Mediterranean tree-grass \"Dehesa\" ecosystem through the integration of ground and satellite data with airborne hyperspectral imagery (DEHESHYRE).", "keywords": "DEHESHYRE, EUFAR, aircraft, hyperspectral, remote sensing", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-01-22T09:46:58", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24472/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24477/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100188/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100181/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100182/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100180/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100184/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100185/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100186/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100183/?format=api" ] }, { "ob_id": 24482, "uuid": "1fe8654675a3453cab4a8d698d8ada48", "title": "HILBILLY: in-situ airborne observations by the DO228-212 /D-CFFU - DLR aircraft aircraft", "abstract": "In-situ airborne observations by the DO228-212 /D-CFFU - DLR aircraft aircraft for HiLBilly- Hyperspectral imaging of lake biogeochemical properties in optically-complex systems (HILBILLY).", "keywords": "HILBILLY, EUFAR, aircraft, hyperspectral, remote sensing", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-01-22T09:46:46", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24481/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24486/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24490/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100225/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100217/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100218/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100224/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100216/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100221/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100222/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100223/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100219/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100220/?format=api" ] }, { "ob_id": 24495, "uuid": "191b6a219b6f450b839abe58ee30ad6c", "title": "URBSENSE: in-situ airborne observations by the CASA 212 RS - INTA aircraft aircraft", "abstract": "In-situ airborne observations by the CASA 212 RS - INTA aircraft aircraft for UrbSense- Multi-sensor monitoring of the urban environment. (URBSENSE).", "keywords": "URBSENSE, EUFAR, aircraft, hyperspectral, remote sensing", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-01-22T09:52:04", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24494/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24499/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24503/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100275/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100268/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100269/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100267/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100271/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100272/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100273/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100274/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100270/?format=api" ] }, { "ob_id": 24508, "uuid": "4e854c6f0c704a7bb4e5a48f547242f0", "title": "SWAMP: in-situ airborne observations by the DO228-212 /D-CFFU - DLR aircraft aircraft", "abstract": "In-situ airborne observations by the DO228-212 /D-CFFU - DLR aircraft aircraft for SWAMP- Spectrometry of a Wetland And Modelling of Photosynthesis with Hyperspectral Airborne Reflectance and Fluorescence.", "keywords": "SWAMP, EUFAR, aircraft, hyperspectral, remote sensing", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-01-22T09:52:13", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24507/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100323/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100316/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100317/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100315/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100319/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100320/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100321/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100322/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100318/?format=api" ] }, { "ob_id": 24513, "uuid": "7f85573628774e1bb9cd88d46d74b8c7", "title": "AROMAPEX: in-situ airborne observations by the DO228-212 /D-CFFU - DLR aircraft aircraft", "abstract": "In-situ airborne observations by the DO228-212 /D-CFFU - DLR aircraft aircraft for AROMAPEX- APEX flights for the AROMAT-2 activity.", "keywords": "AROMAPEX, EUFAR, aircraft, hyperspectral, remote sensing", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-01-22T09:51:56", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24512/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24517/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100339/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100340/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100338/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100343/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100344/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100341/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100342/?format=api" ] }, { "ob_id": 24522, "uuid": "dd96551bfbaa4c19b0b1399f8131f1ff", "title": "EUFAR10_01: in-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft", "abstract": "In-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft for AIMWETLAB - Aerial imaging of the wetlands of Lake Balaton and the Kis-Balaton (EUFAR10_01).", "keywords": "EUFAR10_01, AIMWETLAB, aircraft, hyperspectral, remote sensing", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2021-09-29T13:41:05", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24521/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24526/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24534/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100377/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100378/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100376/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100381/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100382/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100383/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100384/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100379/?format=api" ] }, { "ob_id": 24539, "uuid": "caf71db90f0c44abaf332b139e31d3f2", "title": "EUFAR10_02: in-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft", "abstract": "In-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft for AIRES-CZM - USING AIRBORNE REMOTE SENSING FOR IMPROVED COASTAL ZONE MANAGEMENT (EUFAR10_02).", "keywords": "EUFAR10_02, AIRES-CZM, aircraft, hyperspectral, remote sensing", "discoveryKeywords": [], "publicationState": "preview", 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"https://api.catalogue.ceda.ac.uk/api/v2/observations/24652/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24656/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100903/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100895/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100896/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100894/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100899/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100900/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100901/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100902/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100897/?format=api" ] }, { "ob_id": 24661, "uuid": "1ee932fff5ab458c8613b3e4cece6fa1", "title": "EUFAR15_18: in-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft", "abstract": "In-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft for AHSPECT- Agriculture-Health-SPECTrometry (EUFAR15_18).", "keywords": "EUFAR15_18, AHSPECT, aircraft, hyperspectral, remote sensing", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24660/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24665/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100961/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100962/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100960/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100965/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100966/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100967/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100968/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100963/?format=api" ] }, { "ob_id": 24670, "uuid": "17c292712074479ea313b00e848d13d9", "title": "EUFAR15_28: in-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft", "abstract": "In-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft for ISOTHERM- Ice SnOw vegetation HypERspecTral Measurements (EUFAR15_28).", "keywords": "EUFAR15_28, ISOTHERM, aircraft, hyperspectral, remote sensing", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24669/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24674/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24678/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24682/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100999/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101000/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/100998/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101003/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101004/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101001/?format=api" ] }, { "ob_id": 24699, "uuid": "81fb84c4b00640b7a3acb58346497977", "title": "ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci) Dataset Collection", "abstract": "Collection of datasets from the European Space Agency's (ESA) Antarctic Ice Sheets Climate Change Initiative (CCI) project. This is producing long term and reliable climate data records from satellite data for a number of Essential Climate Variables (ECV's) for Antarctica. \r\n\r\nCurrent data products relate to Ice Velocities, Gravimetric Mass Balance, Grounding Line Locations and Surface Elevation Changes.", "keywords": "Antarctic, CCI, Ice Sheet", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/19879/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24694/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24695/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32600/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32601/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32602/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32692/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105406/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105411/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105436/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105460/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101129/?format=api" ] }, { "ob_id": 24737, "uuid": "31ae96f9cfc54ef9a38638f8723a1d17", "title": "ACSIS: Data collected during the The North Atlantic Climate System Integrated Study.", "abstract": "This data collection includes a range of data collected for The North Atlantic Climate System Integrated Study: ACSIS, including: In-situ airborne observations by the FAAM BAE-146 aircraft, groundbased air composition measurements from Penlee Observatory, and Atlantic Ocean Sea Surface Temperature (SST) studies.", "keywords": "NCAS, NCEO, ACSIS, FAAM, airborne, SST, atmospheric measurments", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2017-05-18T12:09:24", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24736/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24741/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24745/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24749/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24757/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25493/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25498/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25502/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25510/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25514/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25518/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26290/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26411/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27810/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27814/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27840/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27842/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27844/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27846/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27857/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27859/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27861/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27891/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27893/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27895/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27897/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27899/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27901/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30142/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30145/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30147/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30167/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30169/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30171/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30173/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30492/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37454/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37474/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37478/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37482/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37486/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37490/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37494/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37498/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41413/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41414/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101286/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101290/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101291/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101292/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101293/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101288/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101289/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131956/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131957/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131958/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131959/?format=api" ] }, { "ob_id": 24762, "uuid": "d309a5ab60b04b6c82eca6d006350ae6", "title": "MOYA: ground station and in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "This dataset collection contains ground observations and in-situ airborne observations by the FAAM BAE-146 aircraft for Methane Observations and Yearly Assessments: MOYA.\r\n\r\nThis data was collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1).", "keywords": "MOYA, FAAM, airborne, atmospheric measurments", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2017-05-18T12:30:08", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/12974/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24761/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24770/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24774/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24782/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26478/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26615/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26719/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26720/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26721/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26916/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26920/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27548/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27832/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27834/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27865/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27873/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27877/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27994/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27996/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27998/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28000/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28004/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28182/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30266/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30269/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30536/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30540/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30548/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30552/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32176/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32182/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32185/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101388/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101380/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101381/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101387/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101379/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101384/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101386/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101382/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101383/?format=api" ] }, { "ob_id": 24806, "uuid": "d7bb874c638c40e797c3aaa6baffc65f", "title": "Amazonian peatlands: in-situ ground based soil-atmosphere flux measurements", "abstract": "'Amazonian peatlands - A potentially important but poorly characterised source of atmospheric methane and nitrous oxide' was a NERC (Natural Environment Research Council) funded project from 2013-2014 with the following grant reference: NE/I015469/2. \r\n\r\nThis dataset collection contains measurements from field sampling of soil-atmosphere fluxes concentrated on 4 dominant vegetation types in the lowland tropical peatland forests of the Pastaza-Marañón foreland basin. Vegetation types included; forested vegetation, forested [short pole] vegetation, Mauritia flexuosa-dominated palm swamp, and mixed palm swamp. \r\n\r\nGreenhouse gas (GHG) fluxes were captured from both floodplain systems and nutrient-poor bogs in order to account for underlying differences in biogeochemistry that may arise from variations in hydrology. Sampling was conducted during four field campaigns (two wet season, two dry season) over a 27-month period, extending from February 2012 to May 2014.\r\n\r\n", "keywords": "methane, nitrous oxide, peat, tropical peatland, Pastaza-Marañón foreland basin, Amazonia, Peru", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24807/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101550/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101549/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101551/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101552/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101541/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101547/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101548/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101545/?format=api" ] }, { "ob_id": 24817, "uuid": "648246d2bdc7460b8159a8f9daee7844", "title": "APHH: Atmospheric measurements and model results for the Atmospheric Pollution & Human Health in a Chinese Megacity", "abstract": "The Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) Programme includes several projects making groundbased observations of meteorology, atmospheric chemical species and particulates in and around the city of Beijing. Due to the close working and exchange between the projects and overlap of instruments, this dataset collection contains measurements and related modelling study output produced by all these projects.", "keywords": "APHH, AIRPRO, INHANCE, AIRPOLL, Beijing, pollution", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2017-10-18T09:11:32", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24809/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24974/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25293/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25425/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25428/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25984/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26174/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26177/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26181/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26183/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26890/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26923/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27166/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27299/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27509/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27613/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30250/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41480/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9306/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102254/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102256/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102257/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102258/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102260/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102261/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102262/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102259/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103624/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105669/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105670/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105671/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105672/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105685/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105686/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109568/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109569/?format=api" ] }, { "ob_id": 24918, "uuid": "2d0118fccc86444f9bdb87d2dfce4a52", "title": "Poles Apart: Why has Antarctic sea ice increased and why don't coupled climate models reproduce observations", "abstract": "Datasets collected as part of the NERC project Poles Apart Why has Antarctic sea ice increased and why don't coupled climate models reproduce observations? (NE/K012150/1, NE/K011561/1). \r\n\r\nThe aim of this project was to model atmospheric drivers of changes in surface wind forcing. The project began in June 2014 and completed at the end of June 2017.", "keywords": "Climate, Ozone, GHG, Aerosol, HadGEM3, UKCA", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2017-08-07T09:22:11", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24914/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101979/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101977/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101975/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101974/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101973/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101972/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101971/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101976/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/101978/?format=api" ] }, { "ob_id": 24950, "uuid": "39cc5db2889348f888b824520316e9d2", "title": "Measurements of N2O5, ClNO2, HCOOH, HNO3 and HCN at the Weybourne Atmospheric Observatory", "abstract": "Chemical ionisation mass spectrometer (CIMS) measurements of N2O5, ClNO2 and other halogenated species to understand the overall oxidation budget at the Weybourne Atmospheric Observatory rural marine site.\r\n", "keywords": "CIMS, BBCEAS, Weybourne, N2O5, ClNO2, HCOOH, HNO3, HCN", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2017-09-12T10:42:58", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/15442/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24947/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102137/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102135/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102136/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102138/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102139/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102140/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102141/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105437/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102134/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102142/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102143/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102144/?format=api" ] }, { "ob_id": 24959, "uuid": "b1f266c25cf2445f8b87d874f6ac830a", "title": "BITMAP: Tracks of western disturbances (1979-2015)", "abstract": "Western disturbances (WDs) are upper-level vortices that can significantly impact the weather over Pakistan and north India. This collection contains a catalogue of the tracks of WDs passing through the region (specifically 20-36.5N, 60-80E) produced from various model outputs. This work was undertaken as part of the NERC funded BITMAP (Better understanding of Interregional Teleconnections for prediction in the Monsoon and Poles) project. \r\n\r\nBITMAP was an Indo-UK-German project (NERC grant award: NE/P006795/1) to develop better understanding of processes linking the Arctic and Asian monsoon, leading to better prospects for prediction on short, seasonal and decadal scales in both regions. Recent work had suggested that the pole-to-equator temperature difference is an essential ingredient driving variations in the monsoon. \r\n\r\nTracks of these WDs were generated using a bespoke tracking algorithm within the project applied to data from the European Centre for Medium-Range Weather Forecasts' (ECMWF) ERA-Interim reanalysis data and model output from various experiments of the World Climate Research Programme's Coupled Model Intercomparison Project Phase 5 (WCRP CMIP5). The algorithm, described in Hunt et al, 2017, QJRMS (see linked documentation), identified and linked upper-tropospheric vortices from the data and are available within this dataset collection. Additional details of the CMIP5 tracking algorithm are available in the Hunt et al. paper 'Representation of western disturbances in CMIP5 models' paper (see linked documentation). The principal difference between the algorithm used for the ERA-Interim data and the CMIP5 data is the choice of pressure levels on which the algorithm was run: 500 hPa for the ERA-Interim data and 450-300 hPa layer for the CMIP5 data.", "keywords": "BITMAP, India, Western disturbances, Vortices", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-02-05T12:21:35", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24958/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27182/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27397/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27399/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27673/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102198/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102196/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102199/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102200/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102201/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102202/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102203/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102195/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111520/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111521/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102204/?format=api" ] }, { "ob_id": 24981, "uuid": "bffd0262439a4ecb8fadf0134c4a4a41", "title": "GloCAEM: Atmospheric electric potential gradient measurements", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset collection contains measurements of atmospheric electricity and electric potential gradient made using a Cambell Scientific CS110 electric-field mill.", "keywords": "GloCAEM, GEC, electric potential, electric field", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2017-09-08T10:38:38", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/20072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24026/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24982/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24988/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24992/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24996/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24999/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25003/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25009/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25015/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25018/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25419/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25842/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25847/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25852/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26493/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39234/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39552/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39786/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102283/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102278/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102284/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102286/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102280/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102281/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102282/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102279/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102319/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102366/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102367/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102379/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102430/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102442/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108000/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108001/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108003/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193811/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193810/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108004/?format=api" ] }, { "ob_id": 25021, "uuid": "18c737a986094b1abd19cfebc9d0c374", "title": "The Organization of Tropical Rainfall: MetUM model data and observed convective aggregation data for the Tropics", "abstract": "This project was funded by the Natural Environment Research Council (NERC) with the grant reference - NE/I021012/1 - and was led by Dr Christopher Holloway (University of Reading). \r\n\r\nThis dataset collection contains MetUM model data and observed convective aggregation data for the Tropics.\r\n\r\nThis project aimed to clearly identify processes important for self-aggregation of convection in idealized models and then to test whether these processes, or different processes, are active in convective organization in nature. The second part of this goal was an open question in the field, and this fellowship has the potential to connect a rapidly expanding theoretical research area with ongoing efforts to improve the understanding and prediction of tropical variability. The focus on the Unified Model benefited weather and climate prediction in the UK by exchanging ideas with Met Office scientists who were directly involved in testing and improving the model. \r\n", "keywords": "Tropical, rainfall, clouds, MJO", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-06-14T13:30:49", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25029/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25031/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102459/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102460/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102465/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102466/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102467/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102464/?format=api" ] }, { "ob_id": 25033, "uuid": "53e6cf2cbb52457987466f049c734f43", "title": "ACID-PRUF: Measurements of freezing fraction of water solution droplets solute and suspended matter during the immersion freezing of pollen extracts", "abstract": "ACID-PRUF was a three year NERC directed programme that investigated the complex interaction of aerosols and clouds. The overall aims of ACID-PRUF were to reduce the uncertainty in the radiative forcing associated with the aerosol indirect effects though a targeted laboratory and modelling programme. \r\n\r\nThis dataset collection contains measurements of freezing fraction of water solution droplets-solute and suspended matter during the immersion freezing of pollen extracts (birch pollen, Betula fontinalis occidentalis, Sigma-Aldrich, P6895-1G), with a new cold electrodynamic balance (CEDB). ", "keywords": "ACID-PRUF, pollen, aerosols, clouds", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2017-09-06T12:46:21", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25036/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102517/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102519/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102520/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102509/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102513/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102514/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102515/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102516/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102518/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102510/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102511/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102512/?format=api" ] }, { "ob_id": 25062, "uuid": "dafbd838e4cc4c68a5ccdd90690ea57f", "title": "SPARC Reanalysis Intercomparison Project (S-RIP): Zonal-mean global atmospheric reanalyses on pressure levels", "abstract": "SPARC (Stratosphere–troposphere Processes And their Role in Climate) is an international activity started in 2013 (under the World Climate Research Programme, WCRP) to compare and evaluate all available global atmospheric reanalyses in the middle atmosphere; publish several journal papers and the WCRP/SPARC reports.\r\n\r\nThis dataset collection provides zonal-mean diagnostics computed from reanalysis data sets on pressure levels. It is divided into two components. The first provides dynamical variables like temperature, geopotential height, and wind field and derived diagnostics such as eddy fluxes and a complete budget of zonal momentum. The second provides heating rates. In both components, data is provided on two grids. The first provides the diagnostics on the same grid on which reanalysis data was obtained. The second provides, using horizontal interpolation, the diagnostics on a common grid for all data sets. All diagnostics are provided as a function of latitude and pressure from 1958 to present, depending on each reanalysis' availability.\r\n\r\nThis data set was produced to facilitate the comparison of reanalysis data sets for the collaborators of the SPARC-Reanalysis Intercomparison Project (S-RIP). The data set is substantially smaller in size compared to the full three-dimensional reanalysis fields and uses standardized numerical methods. The data set includes all global reanalyses available at the time of its development and will be extended to include new reanalysis products in the future.", "keywords": "SPARC, S-RIP, WCRP", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2017-11-28T16:33:26", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25059/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25384/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102673/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102669/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102670/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102671/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102672/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102674/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102675/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102676/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102668/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/104763/?format=api" ] }, { "ob_id": 25087, "uuid": "55c74c02ec8e4afea309043d110a93e7", "title": "Auchencorth Moss Atmospheric Observatory (AU) and associated field sites: Meteorological observations", "abstract": "The Auchencorth Moss Atmospheric Observatory was setup in 1995 to measure meteorology, trace gases, aerosols and their fluxes. It is (55ᵒ47’36” N, 3°14’41” W) an ombrotrophic peatland with an extensive fetch at an elevation of 270 m, lying 18 km SSW of Edinburgh, UK, and can be categorised as a transitional lowland raised bog. The site is grazed with < 1 sheep ha^-1.\r\n\r\nDuring 2000s the site activity has increased and was established in 2006 as EMEP (European Monitoring and Evaluation Program, Level 2/3) supersite for the UK. Long term monitoring is led by NERC CEH with contributions from other organisations/research institutes including Ricardo AEA, BureauVeritas, NPL, the University of Birmingham and University of Edinburgh. In April 2014 the site was awarded WMO GAW regional station (World Meteorological Orgamisation Global Atmospheric Watch). In 2017 the site joined the ICOS network (Integrated Carbon Observation System).\r\nSimilar measurements are also made at nearby Easter Bush Field site by the same team.\r\n\r\nThe meteorological measurements were initially made to assist with interpretation of the fluxes and as such weren't installed with the intention of providing WMO standard measurements.", "keywords": "Auchencorth Moss, Meteorology, Temperature, Rainfall, Wind Speed", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2020-01-21T16:10:10", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25086/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30611/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38735/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102789/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102793/?format=api" ] }, { "ob_id": 25092, "uuid": "4b873c1918854f55b11ac0e5398aaa63", "title": "Model data described in the 2013 IPCC Fifth Assessment Report (AR5), 20 and 30 year climatologies", "abstract": "CMIP5 monthly mean climatology fields matching those given in IPCC WG1 AR5 Annex I: Atlas of Global and Regional Climate Projections in Climate Change 2013, the Fifth Assessment Report (AR5) of the United Nations Intergovernmental Panel on Climate Change (IPCC). \r\nClimatologies have been calculated for global fields of Specific Humidity, Precipitation, Sea Level Pressure, Temperature, Wind and Downwelling Shortwave Radiation (Stoker et. al., 2013). The CMIP5 climatologies, calculated by the Centre for Environmental Data Analysis (CEDA), match those described in table AI.1 in Stoker et al (2013). Twenty- and thirty-year climatologies and climatological anomalies are calculated for experiments: piControl, 1pctCO2, historical, rcp26, rcp45, rcp60 and rcp85 produced by 39 models from 22 modelling centres. The monthly climatology data covers the period from 1850-2100. The climatologies are of global scope and are provided on latitude-longitude grids.", "keywords": "IPCC, DDC, AR5, CMIP5, Climatologies, piControl, 1pctCO2, historical, scenarios, rcp26, rcp45, rcp60, rcp85", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-05-22T13:02:35", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25099/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25101/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25102/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102812/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102809/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102810/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102811/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102813/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102814/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102815/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111733/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111734/?format=api" ] }, { "ob_id": 25095, "uuid": "f37c34b82fc545c39e0c8a77d51c7688", "title": "CMIP5 20-Year Climatology Data for the IPCC DDC", "abstract": "CMIP5 monthly mean climatology fields matching those given in IPCC WG1 AR5 Annex I: Atlas of Global and Regional Climate Projections, have been calculated for global fields of Specific Humidity, Precipitation, Sea Level Pressure, Temperature, Wind and Downwelling Shortwave Radiation (Stoker et. al., 2013). The CMIP5 climatologies, calculated by the Centre for Environmental Data Analysis (CEDA), match those described in table AI.1 in Stoker et al (2013). Twenty-year climatologies and climatological anomalies are calculated for experiments: piControl, 1pctCO2, historical, rcp26, rcp45, rcp60 and rcp85 produced by 39 models from 22 modelling centres.", "keywords": "IPCC, AR5, CMIP5, Climatologies, piControl, 1pctCO2, historical, scenarios, rcp26, rcp45, rcp60, rcp85", "discoveryKeywords": [], "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102824/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102825/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102826/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102828/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102829/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102830/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102831/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102832/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102827/?format=api" ] }, { "ob_id": 25096, "uuid": "6ca383b092004b89b6a0efce730f77db", "title": "CMIP5 30-Year Climatology Data for the IPCC DDC", "abstract": "CMIP5 monthly mean climatology fields matching those given in IPCC WG1 AR5 Annex I: Atlas of Global and Regional Climate Projections, have been calculated for global fields of Specific Humidity, Precipitation, Sea Level Pressure, Temperature, Wind and Downwelling Shortwave Radiation (Stoker et. al., 2013). The CMIP5 climatologies, calculated by the Centre for Environmental Data Analysis (CEDA), match those described in table AI.1 in Stoker et al (2013). Thirty-year climatologies and climatological anomalies are calculated for experiments: piControl, 1pctCO2, historical, rcp26, rcp45, rcp60 and rcp85 produced by 39 models from 22 modelling centres.", "keywords": "IPCC, AR5, CMIP5, Climatologies, piControl, 1pctCO2, historical, scenarios, rcp26, rcp45, rcp60, rcp85", "discoveryKeywords": [], "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102833/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102834/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102835/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102836/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102837/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102839/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102840/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102841/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102838/?format=api" ] }, { "ob_id": 25097, "uuid": "ba82ae756c304bc396fc42439cca9608", "title": "CMIP5 20-Year AR5 Climatology Data for the IPCC DDC", "abstract": "CMIP5 monthly mean climatology fields matching those given in IPCC WG1 AR5 Annex I: Atlas of Global and Regional Climate Projections, have been calculated for global fields of Specific Humidity, Precipitation, Sea Level Pressure, Temperature, Wind and Downwelling Shortwave Radiation (Stoker et. al., 2013). The CMIP5 climatologies, calculated by the Centre for Environmental Data Analysis (CEDA), match those described in table AI.1 in Stoker et al (2013). Twenty-year AR5 climatologies and climatological anomalies are calculated for experiments: piControl, 1pctCO2, historical, rcp26, rcp45, rcp60 and rcp85 produced by 39 models from 22 modelling centres.", "keywords": "IPCC, AR5, CMIP5, Climatologies, piControl, 1pctCO2, historical, scenarios, rcp26, rcp45, rcp60, rcp85", "discoveryKeywords": [], "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102842/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102843/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102844/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102846/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102847/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102848/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102849/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102850/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/102845/?format=api" ] }, { "ob_id": 25119, "uuid": "38ab7089781a4560b067dd6c20af3769", "title": "CLARIFY: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for CLouds and Aerosol Radiative Impacts and Forcing: CLARIFY", "keywords": "CLARIFY, FAAM, airborne, atmospheric measurments", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2017-08-03T12:15:43", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25118/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25157/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25161/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25165/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25169/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25173/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25177/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25181/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25185/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25189/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25201/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25205/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25209/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25213/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25217/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25221/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25225/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25229/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25233/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25237/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25241/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25245/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25249/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25253/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25257/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25261/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25453/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25457/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25461/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103015/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103014/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103013/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103009/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103010/?format=api" ] }, { "ob_id": 25287, "uuid": "61409a5455cc4913a43da496768d0f67", "title": "Penlee Point Atmospheric Observatory: Meteorological and chemical observations 2014-2017", "abstract": "The Penlee Point Atmospheric Observatory (PPAO) was established by the Plymouth Marine Laboratory in May 2014 for long term observations of ocean-atmosphere interaction. The observatory is only a few tens of metres away from the water edge and 11m above mean sea level.\r\n\r\nThis dataset collection contains air temperature, dew point, wind speed and direction, rainfall, sulphur dioxide, ozone, carbon dioxide and methane measurements from Penlee Point Atmospheric Observatory from 2014-2017.\r\n\r\nAt the mouth of the Plymouth Sound, the site (50° 19.08' N, 4° 11.35' W) is exposed to marine air when the wind comes from 110° - 240°. Typical southwesterly winds tend to bring relatively clean background Atlantic air. In contrast, winds from the southeast are often contaminated by exhaust plumes from passing ships. The PPAO is in close proximity to marine sampling stations that form the Western Channel Observatory, enabling better understanding of the ocean-atmosphere coupling.", "keywords": "Penlee, Atmospheric, Meteorology, Pollution, Chemistry, Ozone, Sulphur Dioxide, Carbon Dioxide, Rainfall, Wind, Methane", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2017-10-18T09:41:30", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25285/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103602/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103598/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103599/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103600/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103601/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103603/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103604/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103605/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103597/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103614/?format=api" ] }, { "ob_id": 25297, "uuid": "0eaca59831bf411f8334afc0a0b64bda", "title": "WCRP CCMI-1: The CNRM-CERFACS team MOCAGE model output", "abstract": "WCRP CCMI-1: The CNRM-CERFACS team MOCAGE model output.\r\n\r\nThe WCRP Chemistry Climate Model Initiative phase 1 (CCMI-1), is a global chemistry climate model intercomparison project, coordinated by the University of Reading on behalf of the World Climate Research Program (WCRP).\r\n\r\nThe CNRM-CERFACS team consisted of the following agencies: Centre National de Recherches Meteorologiques (CNRM) and Centre Européen de Recherche et Formation Avancées en Calcul Scientifique (CERFACS).", "keywords": "CCMI-1, WCRP, climate change, chemistry, CNRM-CERFACS, MOCAGE", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103639/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103637/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103638/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103634/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103642/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103644/?format=api" ] }, { "ob_id": 25298, "uuid": "f677360cd9714323a58ee2efa2f14b33", "title": "WCRP CCMI-1: The CNRM-CERFACS team CNRM-CM5-3 model output", "abstract": "WCRP CCMI-1: The CNRM-CERFACS team CNRM-CM5-3 model output.\r\n\r\nThe WCRP Chemistry Climate Model Initiative phase 1 (CCMI-1), is a global chemistry climate model intercomparison project, coordinated by the University of Reading on behalf of the World Climate Research Program (WCRP).\r\n\r\nThe CNRM-CERFACS team consisted of the following agencies: Centre National de Recherches Meteorologiques (CNRM) and Centre Européen de Recherche et Formation Avancées en Calcul Scientifique (CERFACS).", "keywords": "CCMI-1, WCRP, climate change, chemistry, CNRM-CERFACS, CNRM-CM5-3", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103651/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103652/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103654/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103653/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103655/?format=api" ] }, { "ob_id": 25327, "uuid": "a8ef5ff945f14205b1716fedae239b0e", "title": "WCRP CCMI-1: Goddard Space Flight Center (GSFC) GEOSCCM model output", "abstract": "WCRP CCMI-1: Goddard Space Flight Center (GSFC) GEOSCCM model output.\r\n\r\nThe WCRP Chemistry Climate Model Initiative phase 1 (CCMI-1), is a global chemistry climate model intercomparison project, coordinated by the University of Reading on behalf of the World Climate Research Program (WCRP).", "keywords": "CCMI-1, WCRP, climate change, chemistry, GSFC, GEOSCCM", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103813/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103811/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103812/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103814/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103815/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103817/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103810/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103818/?format=api" ] }, { "ob_id": 25335, "uuid": "a67013c3683d42a4a54be000c78a38e9", "title": "PREcipitation STructures over Orography (PRESTO): Unified model simulation data", "abstract": "This dataset contains the input data (initial conditions, boundary conditions, initial perturbations) for Met Office Unified Model simulations performed during the PRESTO (PREcipitation STructures over Orography) project. It also contains the 2D and 3D output files from these simulations.\r\n\r\nThe PRESTO project was funded by the Natural Environment Research Council (NERC) with the grant references - NE/I024984/1 and NE/I026545/1 - led by Professor Suzanne Gray (University of Reading) and Professor David Schultz (University of Manchester).\r\n\r\nPRESTO provided a leap forward in the understanding and prediction of quasi-stationary orographic convection in the UK and beyond. This was achieved through an intensive climatological analysis over several regions of the globe where continuous radar data was available, which identified the environmental conditions that support the bands and their characteristic locations and morphologies. Complementary high-resolution numerical simulations pinpointed the underlying mechanisms behind the bands and their predictability in numerical weather prediction models. This work provides positive impacts for the forecasting community, general public, and other academics in the field. Forecasters benefit from the identification of simple diagnostics that can be used operationally to predict these events based on available model forecasts and/or upstream soundings. A series of activities were used to directly engage with forecasters to effectively disseminate our findings. The public benefit from this improved forecasting of potentially hazardous precipitation events. The academic community benefit from the advanced physical understanding (which was disseminated through conferences, workshops, and peer-reviewed publications) and the numerous international collaborations associated with this project.", "keywords": "PRESTO, UKV, Unified Model, Convection, Orography", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-05-09T12:57:14", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25334/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103858/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103855/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103856/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103857/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103859/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103860/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103861/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103854/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103852/?format=api" ] }, { "ob_id": 25346, "uuid": "26b7ccf9c2954e2f87c0bce1ba680b65", "title": "BT Tower: O3 and NOx measurements", "abstract": "The BT Tower is a 190-m-tall telecommunications tower situated in central London, UK (51°31′17.4″N, 0°8′20.04″W). Mean building height is 8.8 ± 3.0 m within 1−10 km of the tower and 5.6 ± 1.8 m for suburban London beyond this.\r\n\r\nThis dataset collection contains O3 and NOx measurements made at the BT tower (T35 level) sampled from a height of approx 180 metres above the ground. The measurements were made using a TEI 49i analyser and TEI 42CTL analyser.", "keywords": "NCAS, BT tower, O3, NOx", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2021-07-26T13:30:42", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/3936/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25345/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103937/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103938/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103939/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103940/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103941/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103943/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103944/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103945/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103942/?format=api" ] }, { "ob_id": 25356, "uuid": "bea6b6bf17494ea3a0726740f5081095", "title": "Assessment of ClNO2 as a missing oxidant in the UK atmosphere", "abstract": "This dataset collection contains ambient concentrations of ClNO2, Cl2, NO3, N2O5, NOx, CO and photolysis rates at the Penlee Point Atmospheric Observatory (UK), University of Leicester campus and Weybourne Atmospheric Observatory (WAO)\r\n\r\nThis project explores by way of concerted measurements and modelling whether, in the UK context, ClNO2 can release large concentrations of reactive chlorine (Cl) into the troposphere. The chemistry could be especially important for the United Kingdom as the UK is surrounded by the ocean, which provides a continuous source of sea-salt in the coastal areas and further inland. In addition, emissions from coal-fired power stations, spread of grit on roads during winter and usage of chlorinated compounds in swimming pools, sewage and water treatment plants, can provide significant sources of non sea-salt Cl. \r\n\r\nThe overall objective of this project was to assess the importance of ClNO2 as a chlorine activation pathway and its presence as a strong chlorine source that could affect the composition and oxidative capacity of the atmosphere, with a particular focus on the UK.", "keywords": "CINO2, troposphere, chemistry, climate", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-01-09T12:09:37", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25355/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25361/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103994/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103992/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103993/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103995/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103996/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103997/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103998/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103991/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/103999/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/104000/?format=api" ] }, { "ob_id": 25390, "uuid": "9c334fbe6d424a708cf3c4cf0c6a53f5", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Version 3.1 Data", "abstract": "This collection contains version 3.1 datasets produced by the Ocean Colour project of the ESA Climate Change Inititative (CCI). The Ocean Colour CCI is producing long-term multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\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 490 nm. Information on uncertainties is also provided.\r\n\r\nThis dataset collection refers to the Version 3.1 data products held in the CEDA archive covering the period 1997-2016. Links to the individual datasets that make up this collection are given in the record below. \r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available.", "keywords": "ESA, Ocean Colour, CCI, ECV", "discoveryKeywords": [ 1138 ], "publicationState": "citable", "dataPublishedTime": "2018-06-14T11:07:49", "doiPublishedTime": "2018-07-04T14:25:34", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25366/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25371/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25377/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25379/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25381/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9625/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105464/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105465/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204870/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105467/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109657/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105469/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105470/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105477/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105481/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105472/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105479/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105484/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105487/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105468/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105474/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105482/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105488/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105475/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105493/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105485/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105489/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105483/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105476/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105490/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105491/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105492/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105486/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105480/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105478/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105496/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105497/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105498/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105499/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105500/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105502/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105503/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105494/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105504/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105505/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105506/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105507/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105520/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105521/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105508/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105509/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105510/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105511/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105512/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105513/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105514/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105515/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105516/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105517/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105518/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105519/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105522/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105523/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105524/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105525/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105526/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105527/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105528/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105495/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105532/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105533/?format=api" ] }, { "ob_id": 25442, "uuid": "1654ca5d1eb64564bc683b8505fea1db", "title": "RS4forestEBV-A - Airborne remote sensing for monitoring essential biodiversity variables in forest ecosystems-A", "abstract": "This dataset collection contains the hyperspectral, lidar and photographic data collected by the NERC-\r\nAirborne Research Facility (ARF) on board the British Antarctic Survey (BAS) Twin-Otter aircraft over Bavaria, Germany for the EUFAR funded RS4forestEBV-A project.", "keywords": "EUFAR, ARF", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2018-01-08T16:33:16", "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105723/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105729/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105724/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105728/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105726/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105725/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105727/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105731/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105730/?format=api" ] }, { "ob_id": 25443, "uuid": "dc6402a6499047f893b0d1f6bbb482fc", "title": "RS4forestEBV-A - Airborne remote sensing for monitoring essential biodiversity variables in forest ecosystems-A", "abstract": "This dataset collection contains the hyperspectral, lidar and photographic data collected by the NERC-\r\nAirborne Research Facility (ARF) on board the British Antarctic Survey (BAS) Twin-Otter aircraft over Bavaria, Germany for the EUFAR funded RS4forestEBV-A project.", "keywords": "EUFAR, ARF", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2018-01-08T16:33:16", "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105732/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105738/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105733/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105737/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105735/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105734/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105740/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105736/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/105739/?format=api" ] }, { "ob_id": 25551, "uuid": "fe1fd79b09294a9d9854a21686fa79ac", "title": "GB12_04: in-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft", "abstract": "In-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft for arsf GB12_04 project.", "keywords": "GB12_04, arsf, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106928/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106929/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106930/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106931/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106932/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106933/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106934/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106935/?format=api" ] }, { "ob_id": 25565, "uuid": "abb40f2a226a4f0f9835d81ccfd60c71", "title": "GB12_06: in-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft", "abstract": "In-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft for arsf GB12_06 project.", "keywords": "GB12_06, arsf, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106976/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106977/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106978/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106979/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106980/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106981/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106982/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106983/?format=api" ] }, { "ob_id": 25583, "uuid": "a01da5e4e01b45409d50b298575bece0", "title": "GB12_07: in-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft", "abstract": "In-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft for arsf GB12_07 project.", "keywords": "GB12_07, arsf, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107036/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107037/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107038/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107040/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107041/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107043/?format=api" ] }, { "ob_id": 25593, "uuid": "fd57c95424024c05aaea3e9f2248f19a", "title": "RG12_10: in-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft", "abstract": "In-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft for arsf RG12_10 project.", "keywords": "RG12_10, arsf, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25815/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25818/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25821/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25824/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107073/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107074/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107075/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107076/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107077/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107078/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107079/?format=api" ] }, { "ob_id": 25611, "uuid": "e421206ecb8545b98d0e1e2c5ac9a879", "title": "GB12_05: in-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft", "abstract": "In-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft for arsf GB12_05 project.", "keywords": "GB12_05, arsf, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107133/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107134/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107135/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107136/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107137/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107138/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107139/?format=api" ] }, { "ob_id": 25621, "uuid": "804358d4bdd04b20abe4a96c311c7cae", "title": "ET12_18: in-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft", "abstract": "In-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft for arsf ET12_18 project.", "keywords": "ET12_18, arsf, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107168/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107169/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107170/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107171/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107172/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107173/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107174/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107175/?format=api" ] }, { "ob_id": 25631, "uuid": "0906225b32c548bfac81a57e2864dc52", "title": "EU09_06: in-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft", "abstract": "In-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft for arsf EU09_06 project.", "keywords": "EU09_06, arsf, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107204/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107205/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107206/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107207/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107208/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107209/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107210/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107211/?format=api" ] }, { "ob_id": 25637, "uuid": "3ac13a50a4434e4cb22fc3d658f766ca", "title": "EM10_02: in-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft", "abstract": "In-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft for arsf EM10_02 project.", "keywords": "EM10_02, arsf, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107228/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107229/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107230/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107231/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107232/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107233/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107234/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107235/?format=api" ] }, { "ob_id": 25647, "uuid": "808b64d611f8433a8d1596e56bd24605", "title": "EU12_12: in-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft", "abstract": "In-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft for arsf EU12_12 project.", "keywords": "EU12_12, arsf, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107264/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107265/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107266/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107267/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107268/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107269/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107270/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107271/?format=api" ] }, { "ob_id": 25657, "uuid": "fe32f53885ec477ca22bc89f0c00a644", "title": "ET12_17: in-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft", "abstract": "In-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft for arsf ET12_17 project.", "keywords": "ET12_17, arsf, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107300/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107302/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107303/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107304/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107305/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107306/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107307/?format=api" ] }, { "ob_id": 25667, "uuid": "40aa864c206349c48ce3e4647dc60bd7", "title": "BGS12_01: in-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft", "abstract": "In-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft for arsf BGS12_01 project.", "keywords": "BGS12_01, arsf, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107336/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107337/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107338/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107339/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107340/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107341/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107342/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107343/?format=api" ] }, { "ob_id": 25677, "uuid": "eba168b4359745a5942df069cebdfc35", "title": "ET12_14: in-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft", "abstract": "In-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft for arsf ET12_14 project.", "keywords": "ET12_14, arsf, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107374/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107376/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107377/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107378/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107379/?format=api" ] }, { "ob_id": 25683, "uuid": "7874ed4d5bff4cceb1ee00d37f73327b", "title": "BGS11_01: in-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft", "abstract": "In-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft for arsf BGS11_01 project.", "keywords": "BGS11_01, arsf, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107396/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107397/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107398/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107399/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107400/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107401/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107402/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107403/?format=api" ] }, { "ob_id": 25832, "uuid": "43ddf5c677a14b9ebe8e8248797bdfb8", "title": "High-End cLimate Impacts and eXtremes (HELIX): McArthur Forest Fire Danger Index (FFDI) and the Angström Index fire indices for 2061 - 2070.", "abstract": "The High-End cLimate Impacts and eXtremes (HELIX) project has calculated fire danger for the period 2061 to 2070 under two different climate change scenarios to assess the change in fire danger at 1.5 degrees compared to 2 degrees Celsius.\r\n\r\n\r\nThe two fire indices (the McArthur Forest Fire Danger Index (FFDI); and the Angström Index) were based on output from the Earth System Model HadGEM2-ES (Collins et al, 2011; Jones et al, 2011) at a spatial resolution of 1.875° x 1.25°, driven by concentrations following two experiments. The first was the strong mitigation scenario RCP2.6 (Representation Concentration Pathway) for the 2 degree change used within the World Climate Research Programme's (WCRP) Climate Modelling Intercomparison Project phase 5 (CMIP5). The second was a new experiment set up using a new run of RCP2.6+SRM initialised at 2020 and run to the end of the 21st century with SO₂ injected continuously and uniformly into the stratosphere at a height of 16-25 km in 4 member ensemble simulations. In the model, the SO₂ oxidises to form a sulphate aerosol which reflects incoming solar radiation and creates a cooling effect on the climate, simulating the effect of SRM in order to keep climate warming to 1.5°C.\r\n\r\n\r\n", "keywords": "HELIX, Angström, Climate, risk, McArthur, Forest Fire", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-03-07T15:11:34", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25826/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25827/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107906/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107901/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107902/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107903/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107904/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107905/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107907/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107900/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107909/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107908/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107910/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/107911/?format=api" ] }, { "ob_id": 25891, "uuid": "66ab6655f9da44d9bf34b079dc8a25e6", "title": "Effective sulphur dioxide (SO2) column amounts from the Infrared Atmospheric Sounding Interferometer (IASI) instrument", "abstract": "Effective sulphur dioxide (SO2) column amounts have been derived from the Infrared Atmospheric Sounding Interferometer (IASI) instrument on the METOP-A satellite, by the University of Oxford as part of the NERC Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET).\r\n\r\nThe data have been produced using the Walker et al. (2011, 2012) linear retrieval developed for the Infrared Atmospheric Sounding Interferometer, which is able to detect sulphur dioxide (SO2) gas. The dataset contained here consists of monthly averages of this retrieval output from June 2007 to December 2014 across the globe, within which it is possible to identify the period and the location of when we have an anomaly of SO2 in atmosphere. This includes volcanic eruptions alongside non-eruptive volcanic degassing, and human pollution sources.", "keywords": "", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25886/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204937/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204936/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108250/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108245/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108248/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108246/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108247/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204935/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108251/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108252/?format=api" ] }, { "ob_id": 25939, "uuid": "5fda5ee95a544a3b894dd4a5392be618", "title": "Sentinel 2B: High-resolution optical imaging data from the Multispectral Instrument (MSI)", "abstract": "This dataset collection contains land monitoring data from the Multispectral Instrument (MSI) on the European Space Agency (ESA) Sentinel 2B satellite. Sentinel 2B was launched on 7th March 2017 and provides sun-synchronous platform for the multispectral imaging data. The instrument uses 13 spectral bands from visible to the near infrared to obtain images with a swath width of 290km. Level 1C processing provides Top-Of-Atmosphere (TOA) reflectances in cartographic geometry. A further processing level, bottom-of-atmosphere (BOA) reflectance in cartographic geometry (prototype product) can be produced by the user with the Sentinel 2 toolbox. The BOA mode allows for the accurate assessment of biophysical parameters e.g. Leaf Area Index, with reduced cloud interference.", "keywords": "Sentinel, Multispectral Instrument, MSI", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2016-11-16T16:24:30", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25276/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108427/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108422/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108425/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108423/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108424/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108426/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108429/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108428/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108430/?format=api" ] }, { "ob_id": 25940, "uuid": "3a9a9c2af1c3439cabcda91edc4eaf56", "title": "QA4ECV Albedo", "abstract": "Knowledge of albedo is of critical importance to land surface monitoring and modelling, particularly with regard to considerations of climate forecasting and energy exchanges within the biosphere. When albedo is used in models, it has often been specified as a fixed number for some given land cover type. However, many years of monitoring from single instruments, such as MODIS, have shown that it can vary significantly both spatially and temporally. That said, being an angular and spectral integral, it is relatively conservative inter-annually, other than due to factors such as snow and possibly fire and dramatic land cover change (e.g. flooding, urbanisation). As particularly high changes in albedo occur due to the presence of absence of snow, modellers tend to consider these two cases separately: a snow free albedo and one with snow included.\r\n\r\nGlobal albedo data of the land surface is produced from data from 1982-2016 from European and US satellites daily and monthly with estimated uncertainties for every pixel. There are 3 data products including: 1) AVHRR+GEO Broadband Albedo at 0.5 and 0.05 degrees; 2) Spectral Albedo at 1km; and 3) Sea Ice Spectral Albedo at 1km", "keywords": "", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25938/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25941/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25942/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204888/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108431/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108555/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108556/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204886/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108432/?format=api" ] }, { "ob_id": 25943, "uuid": "597cdd6371ba410ea72bd4219181178c", "title": "QA4ECV LAI and FAPAR", "abstract": "The Leaf Area Index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product is produced using a Two Stream Inversion Package (TIP) method applied to visible (VIS) and near infrared (NIR) broadband albedos (from the QA4ECV albedo product).\r\n\r\nBased on the global albedo data on 0.5 degree and 0.05 degree regular grids, TIP-LAI and TIP-FAPAR are available for 1982 to 2016.", "keywords": "", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25944/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25945/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204856/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108456/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204851/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204852/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204854/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204855/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108457/?format=api" ] }, { "ob_id": 25946, "uuid": "6e8371d872574bcb801011ace6bf393d", "title": "QA4ECV AVHRR FAPAR", "abstract": "Need some more information here.", "keywords": "", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25947/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204912/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108472/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108547/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108548/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108549/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204910/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204911/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108473/?format=api" ] }, { "ob_id": 25948, "uuid": "e75e1e57932d4b95831fa7b56a2016e1", "title": "Arctic Cloud Summer Expedition (ACSE): surface and boundary layer meteorological measurements on board the Icebreaker Oden", "abstract": "This dataset collection contains a number of observational datasets (mainly from the NERC funded contribution, but others too) of surface and boundary layer meteorological measurements collected on board the Icebreaker Oden during its voyage for the Arctic Cloud Summer Expedition (ACSE).\r\n\r\nACSE was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES (the Cooperative Institute for Research In Environmental Sciences). ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat.\r\n\r\nACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud.\r\n\r\nThe UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF). This dataset collection contains data mainy from the UK contribution with some additional data from other institutes also archived to complement the suite of meteorological measurements.", "keywords": "surface meteorology, atmospheric composition, arctic", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-04-14T11:27:46", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25950/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25951/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25953/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25955/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25960/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25964/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25968/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25979/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25996/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26024/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26026/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26852/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108484/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108485/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108487/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108488/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108489/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108491/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108490/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108486/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108493/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108492/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108494/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109251/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108495/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109252/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109253/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109254/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109256/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109257/?format=api" ] }, { "ob_id": 25978, "uuid": "f65252bf8ee5448baa1ae060cd07703a", "title": "Quality Assurance for Essential Climate Variables (QA4ECV)", "abstract": "The FP7 QA4ECV project was initiated in 2014 to demonstrate how reliable and traceable quality information can be provided for satellite and ground-based measurements of climate and air quality parameters. The project developed and applied a Quality Assurance framework on new and improved multi-decadal data records of the Land ECVs Albedo, Leaf Area Index (LAI), and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), and on the Atmosphere ECVs nitrogen dioxide (NO2), formaldehyde (HCHO), and carbon monoxide (CO).", "keywords": "", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25938/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25941/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25942/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25945/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25947/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25973/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204893/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204890/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204891/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204892/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108646/?format=api" ] }, { "ob_id": 26018, "uuid": "5fcae68057ea43259d0a4530d34e4ba5", "title": "UKCP18 Simulations of Sea Surface Elevation for UK Waters", "abstract": "Historical and future simulations of sea surface elevation for UK waters for 1970-2100 produced by the Met Office for UK Climate Projections 2018 (UKCP2018). The data is available at hourly temporal resolution.", "keywords": "UKCP18, UKCP, Climate, Marine, Simulations, Historical, Projections", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-11-26T09:00:00", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26016/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26017/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108813/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108811/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108812/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108814/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108817/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112313/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108810/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112311/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108815/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112312/?format=api" ] }, { "ob_id": 26049, "uuid": "1cec31b7f73d429d8d273064d0a8f824", "title": "ODYSEA: Ocean Dynamics as Driver of Seasonal to Decadal European Atmospheric variability project data", "abstract": "A collection of data products produced by the NERC project ODYSEA: Ocean Dynamics as Driver of Seasonal to Decadal European Atmospheric variability.", "keywords": "NE/M006107/1, decadal European atmospheric variability", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-04-19T13:54:47", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26047/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109046/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109040/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109041/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109044/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109047/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169541/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109045/?format=api" ] }, { "ob_id": 26096, "uuid": "8ec7ddba554844b4ad1a600ff2196e1c", "title": "Re-analysis (ERA-20C, ERA-Interim, NCEP-CFS) European winter extra-tropical cyclone tracks 1900/1979-2010", "abstract": "This dataset collection contains winter (October - March) extra-tropical cyclone tracks generated by TRACK (Hodges 1994, 1995, 1999) that pass through a Western European domain from three re-analysis datasets: ERA-20C (1900-2010), ERA-Interim (1979-2010) and NCEP-CFS (1979-2010). The tracks were filtered to retain those that travelled 1000km and lasted 2 days. Fields referenced to the tracks are: mean sea-level pressure (min within 5 degrees), 925hPa windspeed (max within 6 degrees), precipitation (max within 5 degrees), 700hPa vertical velocity (min within 5 degrees), 925hPa land-windspeed (max within 6 degrees), precipitation (area average over 5 degrees).\r\n\r\nThis data was collected as part of Robust Spatial Projections for the Real World (Real Projections) NERC (Natural Environment Research Council) NE/N018486/1.", "keywords": "extra-tropical, cyclone, European, track, tracks, ETC, storm, storms", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-06-15T13:01:31", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26093/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26094/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26095/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109298/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109306/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109308/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109309/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109307/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109303/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109304/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109305/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109299/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109300/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109302/?format=api" ] }, { "ob_id": 26156, "uuid": "9842e395f2d04f48a177c3550756bf98", "title": "UKCP18 Probabilistic Climate Projections", "abstract": "Probabalistic climate projections for the UK from 1961-2100 produced by the Met Office for UK Climate Projections 2018 (UKCP18). The data is available on a 25km OSGB grid.", "keywords": "UKCP18, UKCP, Climate, UK, Probabalistic, Historical, Projections", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-11-26T09:00:00", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26112/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26114/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26115/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26116/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30651/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204869/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112283/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112284/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110961/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112289/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112286/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112288/?format=api" ] }, { "ob_id": 26157, "uuid": "f1a2fc3c120f400396a92f5de84d596a", "title": "UKCP18 Global Climate Model Projections for the entire globe", "abstract": "Global climate model runs from 1900-2100 produced by the Met Office for UK Climate Projections 2018 (UKCP18) using the HadGEM3 climate model. The data is available at daily and monthly temporal resolutions on a N216 Gaussian grid which has a 60km resolution over the UK.", "keywords": "UKCP18, UKCP, Climate, Global, Simulations, GCM, Historical, Projections", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-11-26T09:00:00", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26117/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204941/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112290/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112291/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112292/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110962/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112296/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112293/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112295/?format=api" ] }, { "ob_id": 26158, "uuid": "45b332cd72c14fb3beddb4bf05077c97", "title": "UKCP18 Regional Climate Model Projections for the NW Europe Region", "abstract": "Regional climate model runs from the North-West Europe regional climate model runs from 1980-2080 produced by the Met Office for UK Climate Projections 2018 (UKCP18). The data is available at daily and monthly temporal resolutions on a 12km latitude-longitude grid.", "keywords": "UKCP18, UKCP, Climate, NW-Europe, Simulations, RCM", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-11-26T09:00:00", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26903/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204934/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112297/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112298/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112299/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110963/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112303/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112300/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112302/?format=api" ] }, { "ob_id": 26160, "uuid": "0dc7d552eb674036800670241fa31dcf", "title": "UKCP18 High Temporal Resolution Short-term Events for Marine Case Studies", "abstract": "Short event case studies for UK waters produced by the Met Office for UK Climate Projections 2018 (UKCP2018). Data is available at 6-minute and 15-minute temporal resolution.", "keywords": "UKCP18, UKCP, Climate, Marine, Case Studies, Tides", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-11-26T09:00:00", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26019/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26020/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204913/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112314/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112315/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112316/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112318/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110965/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112320/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112317/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112319/?format=api" ] }, { "ob_id": 26163, "uuid": "72407f08415c4b868c85b934033691b3", "title": "UKCP18 Time-mean Sea Level Projections", "abstract": "Time-mean Sea Level Projections for the UK produced by the Met Office for UK Climate Projections 2018 (UKCP2018). Data has been produced by standard and exploratory methods.", "keywords": "UKCP18, UKCP, Climate, Marine, sea level", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-11-26T09:00:00", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26120/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26122/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204868/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112321/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112322/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112323/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112325/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110966/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112327/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112324/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112326/?format=api" ] }, { "ob_id": 26164, "uuid": "d2eea061026240eb8a2f9cc64a691338", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 03.2 data collection", "abstract": "Soil Moisture data (version 03.2) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets, alongside ancilliary data products. The 'Active' and 'Passive' products have been created by fusing scatterometer and radiometer soil moisture products respectively. In the case of the 'Active' product, these have been derived from AMI-WS and ASCAT satellite instruments and for the 'Passive' product from the instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS. The 'Combined Product' is then a blended product based on the former two data sets. \r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the Passive and Combined products covering the period (yyyy-mm-dd) 1978-11-01 to 2014-12-31 and the Active product covering 1991-08-05 to 2014-12-31. The soil moisture data for the Passive and the Combined product are provided in volumetric units [m3 m-3], while the active soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD) or the paper by Wagner 2012, both available in linked documentation. Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in 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", "keywords": "ESA, Soil Moisture, CCI", "discoveryKeywords": [ 1138 ], "publicationState": "citable", "dataPublishedTime": "2018-06-25T10:45:47", "doiPublishedTime": "2018-06-29T11:15:17", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24712/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24714/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24715/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/24841/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9622/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109395/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109396/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109397/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109400/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109401/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109402/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109987/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109398/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109405/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109988/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109989/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109991/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109992/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109993/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109994/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109995/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109996/?format=api" ] }, { "ob_id": 26165, "uuid": "3729b3fbbb434930bf65d82f9b00111c", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 02.2 data collection", "abstract": "Soil Moisture data (version 02.2) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets, alongside ancilliary data products. The 'Active' and 'Passive' products have been created by fusing scatterometer and radiometer soil moisture products respectively. In the case of the 'Active' product, these have been derived from AMI-WS and ASCAT satellite instruments and for the 'Passive' product from the instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, and AMSR2. The 'Combined Product' is then a blended product based on the former two data sets. \r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the Passive and Combined products covering the period (yyyy-mm-dd) 1978-11-01 to 2014-12-31 and the Active product covering 1991-08-05 to 2014-12-31. The soil moisture data for the Passive and the Combined product are provided in volumetric units [m3 m-3], while the active soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD) or the paper by Wagner 2012, both available in linked documentation. Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n1. Liu, Y. Y., W. A. Dorigo, et al. (2012). \"Trend-preserving blending of passive and active microwave soil moisture retrievals.\" Remote Sensing of Environment 123: 280-297.\r\n2. Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., De Jeu, R. A. M., Wagner, W., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P. (2011). Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15, 425-436\r\n3. Wagner, W., W. Dorigo, R. de Jeu, D. Fernandez, J. Benveniste, E. Haas, M. Ertl (2012). Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), Volume I-7, XXII ISPRS Congress, Melbourne, Australia, 25 August-1 September 2012, 315-321", "keywords": "ESA, Soil Moisture, CCI", "discoveryKeywords": [ 1138 ], "publicationState": "citable", "dataPublishedTime": "2018-06-22T15:46:23", "doiPublishedTime": "2018-06-29T11:11:30", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/14397/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/14399/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/14401/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/14403/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9621/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109406/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109414/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109408/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109409/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109410/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109411/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109412/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109910/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109911/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109912/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109913/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109914/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109915/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109916/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109917/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109918/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109919/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109920/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109921/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109922/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109923/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109924/?format=api" ] }, { "ob_id": 26166, "uuid": "b810601740bd4848b0d7965e6d83d26c", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 03.3 data collection", "abstract": "Soil Moisture data (version 03.3) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets, alongside ancilliary data products. The 'Active' and 'Passive' products have been created by fusing scatterometer and radiometer soil moisture products respectively. In the case of the 'Active' product, these have been derived from AMI-WS and ASCAT satellite instruments and for the 'Passive' product from the instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS. The 'Combined Product' is then a blended product based on the former two data sets. \r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the Passive and Combined products covering the period (yyyy-mm-dd) 1978-11-01 to 2016-12-31 and the Active product covering 1991-08-05 to 2016-12-31. The soil moisture data for the Passive and the Combined product are provided in volumetric units [m3 m-3], while the active soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD). Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in 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", "keywords": "ESA, Soil Moisture, CCI", "discoveryKeywords": [ 1138 ], "publicationState": "citable", "dataPublishedTime": "2018-06-25T12:54:37", "doiPublishedTime": "2018-06-29T11:17:56", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26173/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26232/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26237/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26245/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9623/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109420/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109418/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109422/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109423/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109424/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109425/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110038/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109427/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110040/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110041/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110044/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110046/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110047/?format=api" ] }, { "ob_id": 26170, "uuid": "3a8a94c3fa464d68b6d70df291afd457", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 04.2 data collection", "abstract": "Soil Moisture data (version 04.2) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets, alongside ancilliary data products. The 'Active' and 'Passive' products have been created by fusing scatterometer and radiometer soil moisture products respectively. In the case of the 'Active' product, these have been derived from AMI-WS and ASCAT instruments and for the 'Passive' product from the instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS. The 'Combined Product' is then a blended product based on the former two data sets. \r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the Passive and Combined products covering the period (yyyy-mm-dd) 1978-11-01 to 2016-12-31 and the Active product covering 1991-08-05 to 2016-12-31. The soil moisture data for the Passive and the Combined product are provided in volumetric units [m3 m-3], while the active soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD). Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document.\r\n\r\nThe data set should be cited using the 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", "keywords": "ESA, Soil Moisture, CCI", "discoveryKeywords": [ 1138 ], "publicationState": "citable", "dataPublishedTime": "2018-06-25T13:54:11", "doiPublishedTime": "2018-06-29T11:21:15", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26234/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26239/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26242/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26247/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9624/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109434/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109428/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109430/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109431/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109432/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109433/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110091/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109436/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110092/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110093/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110094/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110095/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110096/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110097/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110098/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110099/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110100/?format=api" ] }, { "ob_id": 26171, "uuid": "b11f3fa3303e46e6b0d44b058947a3f5", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 05.2 data collection", "abstract": "Soil Moisture data (version 05.2) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets, alongside ancilliary data products. The ACTIVE and PASSIVE products have been created by fusing satellite scatterometer and radiometer soil moisture products respectively. In the case of the ACTIVE product, these have been derived from the AMI-WS and ASCAT satellite instruments and for the PASSIVE product from the satellite instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS and SMAP. The COMBINED product is generated from the Level 2 active and passive instruments..\r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the PASSIVE and COMBINED products covering the period (yyyy-mm-dd) 1978-11-01 to 2019-12-31 and the ACTIVE product covering 1991-08-05 to 2019-12-31. The soil moisture data for the PASSIVE and the COMBINED product are provided in volumetric units [m3 m-3], while the ACTIVE soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD). Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document.\r\n\r\nThe data set should be cited using the all of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. 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\n3. 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", "keywords": "ESA, Soil Moisture, CCI", "discoveryKeywords": [ 1138 ], "publicationState": "citable", "dataPublishedTime": "2020-11-23T14:36:41", "doiPublishedTime": "2020-12-01T14:45:00", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26236/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26241/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26244/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26249/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10794/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109442/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109440/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109441/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109439/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109447/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109446/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109444/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109445/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109449/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141770/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141771/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141772/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110177/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110178/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110182/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141773/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110183/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110179/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141774/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141775/?format=api" ] }, { "ob_id": 26172, "uuid": "f4f77c55fd304ada9bfe2195927a053b", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 02.1 data collection", "abstract": "Soil Moisture data (version 02.1) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets, alongside ancilliary data products. The 'Active' and 'Passive' products have been created by fusing scatterometer and radiometer soil moisture products respectively. In the case of the 'Active' product, these have been derived from the AMI-WS and ASCAT satellite instruments and for the 'Passive' product from the instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, and AMSR2. The 'Combined Product' is then a blended product based on the former two data sets. \r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the Passive and Combined products covering the period (yyyy-mm-dd) 1978-11-01 to 2014-12-31 and the Active product covering 1991-08-05 to 2014-12-31. The soil moisture data for the Passive and the Combined product are provided in volumetric units [m3 m-3], while the active soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD) or the paper by Wagner 2012, both available in linked documentation. Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document.\r\n\r\nThe data set should be cited using all three references as follows:\r\n1. Liu, Y. Y., W. A. Dorigo, et al. (2012). \"Trend-preserving blending of passive and active microwave soil moisture retrievals.\" Remote Sensing of Environment 123: 280-297.\r\n2. Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., De Jeu, R. A. M., Wagner, W., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P. (2011). Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15, 425-436\r\n3. Wagner, W., W. Dorigo, R. de Jeu, D. Fernandez, J. Benveniste, E. Haas, M. Ertl (2012). Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), Volume I-7, XXII ISPRS Congress, Melbourne, Australia, 25 August-1 September 2012, 315-321", "keywords": "ESA, Soil Moisture, CCI", "discoveryKeywords": [ 1138 ], "publicationState": "citable", "dataPublishedTime": "2018-06-22T13:57:41", "doiPublishedTime": "2018-06-29T11:02:28", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/12878/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/12881/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/12886/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/12890/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9620/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109451/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109459/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109453/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109454/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109455/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109456/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109457/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109832/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109833/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109834/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109835/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109836/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109837/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109838/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109839/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109840/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109841/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109842/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109843/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109844/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109845/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109846/?format=api" ] }, { "ob_id": 26184, "uuid": "dbd451271eb04662beade68da43546e1", "title": "Met Office MIDAS Open: UK Land Surface Stations Data (1853-current)", "abstract": "MIDAS Open is the open data version of the Met Office Integrated Data Archive System (MIDAS) containing land surface station data starting from 1853 and ending at the of the previous complete year. This collection comprises of hourly and daily weather measurements and observations of parameters relating to temperature, rainfall, sunshine, radiation, wind and weather observations such as present weather codes, cloud cover, snow etc.\r\n\r\nThe collection contains land surface observations data from those stations where the data have been designated as public sector information. Prior to version v202407 this consisted of stations operated by the Met Office only, but from version v202407, daily and hourly rainfall observations from stations with gauges owned by the Environment Agency (EA), Scottish Environment Protection Agency (SEPA) and Natural Resources Wales (NRW) have also been included in the collection. Since then, stations owned by other third-party organisations where approval for inclusion has been reached have also been added to the product.\r\n\r\nAll of these data are provided under an Open Government Licence. \r\n\r\nThe current collection contains the following proportions of the fuller MIDAS dataset collection:\r\n\r\n96% of daily temperature observations\r\n96% of daily weather observations\r\n92% of hourly weather observations\r\n94% of daily rainfall observations\r\n96% of hourly rainfall observations\r\n98% of soil temperature observations\r\n96% of solar radiation observations\r\n93% of mean wind observations\r\n\r\nDaily rainfall: Versions up until MIDAS Open v202407 only have about 13% coverage of observations. In version v202407, the coverage was increased to 58% with the inclusion of the third-party hydrological agency stations. In version v202507, the coverage was increased further to 94% with the inclusion of historic closed stations.\r\n\r\nThe fuller \"Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations Data (1853-current)\" collection is made available for academic use via the Centre for Environmental Data Analysis.\r\n\r\nThe MIDAS Open collection is updated annually in a delayed mode to ensure that data acquisition and quality control procedures have all been completed. Quality controlled (qc-version-1) and non-quality controlled (qc-version-0) data are available from 1853 where available, although this will vary by station depending on the operation period of the station. The collection includes stations which are currently operational as well as stations which were operational in the past and have since closed.\r\n\r\nEach version of the dataset will include data up until the end of the previous complete year relative to the year in the version number of the dataset (e.g. v202407 included data up until the end of 2023).\r\n\r\nNote: This collection does not supersede the full MIDAS collection which is also archived at CEDA.", "keywords": "MIDAS, Met Office, meteorology, UK, land, daily, hourly", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-02-12T10:22:26", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26437/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26892/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26894/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26896/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26899/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26901/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27164/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27815/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27817/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27818/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27819/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27820/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27821/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27822/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31883/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31884/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31885/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31888/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31890/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31899/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32968/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32970/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32971/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32972/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32973/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32974/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32975/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38067/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38068/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38069/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38070/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38071/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38073/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38074/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40651/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40652/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40653/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40654/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40655/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40656/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/42330/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/42331/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/42332/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/42333/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/42334/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/42335/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/42336/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/42337/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44579/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44580/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44581/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44582/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44583/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44584/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44585/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44586/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109557/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109555/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109556/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109560/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109558/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110982/?format=api" ] }, { "ob_id": 26216, "uuid": "b4d24b3df3754b9d9028447eb3cd89c6", "title": "UKCP18 Regional Climate Model Projections for the UK", "abstract": "UK-scale data from regional climate model for the UK from North-West Europe regional climate model runs from 1980-2080 produced by the Met Office for UK Climate Projections 2018 (UKCP18). The data is available at various temporal resolutions: daily, monthly, seasonal and annual and various spatial resolutions: on a 12km OSGB grid, for major UK river catchments and each of the countries of the United Kingdom.", "keywords": "UKCP18, UKCP, Climate, UK, Simulations, RCM", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-11-26T09:00:00", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26204/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26207/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26210/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26213/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204879/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112304/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112305/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112306/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112308/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110964/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112307/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112309/?format=api" ] }, { "ob_id": 26222, "uuid": "43fdd19d25b44ec2a9176288d1085ef0", "title": "Atmospheric Chemistry In The Earth System (ACITES)", "abstract": "The Atmospheric Chemistry In The Earth System (ACITES) Network has been funded by the Natural Environment Research Council to bring together the atmospheric chemistry process community and the Earth system modelling community. \r\n\r\nThe ACITES data collection includes: Monthly global surface ozone concentration and ozone dry deposition flux fields from models and observation , land cover data. The data collection also includes the python code used to create the netCDF data files.", "keywords": "ACITES, Atmospheric Chemistry, Ozone, Land Surface", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-10-16T10:07:22", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26224/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26225/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26227/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141570/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130053/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130054/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109679/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109677/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112054/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112055/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109681/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109676/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109678/?format=api" ] }, { "ob_id": 26331, "uuid": "cdecaea11e59472b8800d5d938a3c8ee", "title": "MACSSIMIZE: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for Measurements of Arctic Clouds, Snow, and Sea Ice nearby the Marginal Ice ZonE (MACSSIMIZE).", "keywords": "MACSSIMIZE, FAAM, airborne, atmospheric measurments", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-04-18T13:19:19", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26330/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26339/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26343/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26351/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26355/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26367/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26371/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110485/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110477/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110478/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110484/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110476/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110481/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110482/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110483/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110479/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/110480/?format=api" ] }, { "ob_id": 26459, "uuid": "6accd46663bc4669afaac418f2bf498e", "title": "Sentinel 5 Precursor: Level 2 data", "abstract": "Need some info!", "keywords": "", "discoveryKeywords": [], "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26440/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26441/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26499/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27467/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27469/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30115/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37838/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37840/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38310/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111213/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111208/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111209/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111210/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111211/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111212/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111214/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111207/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111215/?format=api" ] }, { "ob_id": 26474, "uuid": "bc7ec29506114a228efd4783ea15b2fd", "title": "SaddleworthMoor: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for SADDLEWORTHMOOR FAAM Aircraft Project (SaddleworthMoor).", "keywords": "SaddleworthMoor, FAAM, airborne, atmospheric measurments", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-07-09T15:51:06", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26473/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26478/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111278/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111270/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111271/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111277/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111269/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111274/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111275/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111276/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111272/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111273/?format=api" ] }, { "ob_id": 26538, "uuid": "d491b9e869d845a3a727b569f95dde60", "title": "Sentinel 5 Precursor: Level 1 data", "abstract": "Level 1 radiance and irradiance data from the TROPOspheric Monitoring Instrument (TROPOMI) aboard the Sentinel 5P satellite. Sentinel 5P was launched on 13th October 2017. This satellite aims to provide atmospheric measurements relating to air quality, climate forcing, ozone and ultraviolet radiation. This data looks to build on the data from GOME, SCIAMACHY and OMI missions.", "keywords": "Sentinel 5P, TROPOMI, ESA", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2022-11-03T08:22:35", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25900/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26509/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111510/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111508/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111509/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111506/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111504/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111503/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111505/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111507/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111511/?format=api" ] }, { "ob_id": 26567, "uuid": "1f850b0d4d6f4c4fbb59fdc5fe46307e", "title": "CURBCO2: Coupled physical-biogeochemical ocean simulations model output", "abstract": "This dataset collection contains coupled physical-biogeochemical ocean simulations model output using the 1 degree NEMO-HadOCC model. The model output contains 3D Digital Image Correlation (DIC), alkalinity, temperature and salinity datasets at annualy-averaged frequency and monthly averaged surface ocean CO2 fugacities and fluxes.\r\n\r\nThis data was collected in support of CURBCO2: Carbon Uptake Revisited - Biases Corrected using Ocean Observations, a Natural Environment Research Council (NERC) funded project (NERC Grant NE/P015042/1). The overarching aim of this project was to provide UK and international governments with the best possible impartial information from which they can plan how best to work towards the global warming targets (the 'Paris Agreement') set at the Paris Climate Conference in December 2015.", "keywords": "CURB, CO2, Oceans, alkalinity, temperature, salinity", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-01-16T16:47:59", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26556/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26569/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26571/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26573/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111639/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111642/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111644/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168842/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111649/?format=api" ] } ] }