Get a list of Project objects. Projects have a 1:1 mapping with Observations.

### Available end points:

- `/projects/` - Will list all Projects in the database
- `/projects.json` - Will return all Projects in json format
- `/projects/<object_id>/` - Returns Projects object with that id

### Available Methods:

- `GET`
- `HEAD`

### Available filters:

- `uuid`
- `status`
- `title`
- `keywords`

### How to use filters:

- `/projects/?uuid=ab4ca8d019d148f78afba1cd20872bdd`

- `/projects/?title__icontains!=Project details`

- `/projects.json?status=ongoing`

GET /api/v2/projects/?format=api&offset=1600
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "count": 1624,
    "next": null,
    "previous": "https://api.catalogue.ceda.ac.uk/api/v2/projects/?format=api&limit=100&offset=1500",
    "results": [
        {
            "ob_id": 44802,
            "uuid": "3fce2536dbdb48f393ca6fe07fbcf281",
            "title": "[PREVIEW] Climate Change 2027: The Physical Science Basis. Working Group I Contribution to the IPCC Seventh Assessment Report",
            "abstract": "Data for the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Seventh Assessment Report (AR7).\r\n\r\n---------------------------------------------------\r\nAcknowledgements\r\n---------------------------------------------------\r\n[Update]",
            "keywords": "IPCC-DDC, IPCC, AR7, WG1, WGI, Working Group I, Physical Science Basis, Seventh Assessment Report, Intergovernmental Panel on Climate Change",
            "status": "ongoing",
            "publicationState": "preview",
            "identifier_set": [],
            "observationCollection": [],
            "parentProject": null,
            "subProject": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214553/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214554/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214555/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214556/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214558/?format=api"
            ]
        },
        {
            "ob_id": 44812,
            "uuid": "585ecb47c9744a29b298c836c6ea38fc",
            "title": "Copernicus Climate Change Service: ECV Products and Services for the  Atmospheric Physics Domain",
            "abstract": "This C3S project covers provision of data covering five Essential Climate Variables (ECVs): cloud properties, Earth radiation budget, surface radiation budget, upper-air water vapour and precipitation.",
            "keywords": "",
            "status": "completed",
            "publicationState": "published",
            "identifier_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13509/?format=api"
            ],
            "observationCollection": [],
            "parentProject": null,
            "subProject": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214604/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214605/?format=api"
            ]
        },
        {
            "ob_id": 44841,
            "uuid": "9935ff7ff2444b9db90575d9d16fd4e0",
            "title": "SISTeR: Scanning Infrared Sea surface Temperature Radiometer",
            "abstract": "The Scanning Infrared Sea surface Temperature Radiometer (SISTeR), developed at Rutherford Appleton Laboratory, is a self-calibrating filter radiometer for the in situ measurement of skin SST, that has been used to validate the radiometers ATSR-1, ATSR-2, AATSR and SLSTR which were on-board ERS-1, ERS-2 ENVISAT and Sentinel-3 respectively. The instrument has been deployed on MS Color Festival (2006), MS Prinsesse Ragnhild (2008), and RMS Queen Mary 2 (2010-present).",
            "keywords": "",
            "status": "ongoing",
            "publicationState": "published",
            "identifier_set": [],
            "observationCollection": [
                "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44842/?format=api"
            ],
            "parentProject": null,
            "subProject": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214749/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214750/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214751/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215366/?format=api"
            ]
        },
        {
            "ob_id": 44846,
            "uuid": "f47bf45168294b3caa91a8ca16e49938",
            "title": "TEAMxUK",
            "abstract": "Multi-scale Transport and Exchange processes in the Atmosphere over Mountains – programme and eXperiment (TEAMx) is an international research programme that aims at improving our understanding of exchange processes in the atmosphere over mountains and at evaluating how well these are represented in NWP and climate models.  TEAMxUK is the UK component of the TEAMx programme, led by NCAS.\r\nTEAMx is a bottom-up initiative by a number of research institutions and operational centres , supported by a coordination office at the University of Innsbruck and based on national, bi-national and multi-national research projects.  It is motivated by recent scientific and technological progresses in observing and modeling small-scale processes in the atmospheric boundary layer.\r\nThe project includes the TEAMx Observational Campaign (TOC) with ground-based in situ, remote sensing and aircraft measurements across various sites in the European Alps, with target areas in the Inn Valley (Austria), the Adige Valley (Italy), the Alpine Crest between these two, and the Alpine Foreland in Germany.  This took place from September 2024 to September 2025 with two Extensive Observation Periods (EOPs), one in winter (20 January – 28 February 2025 ) and one in summer (16 June – 25 July 2025)",
            "keywords": "TEAMx, NCAS, TEAMxUK",
            "status": "ongoing",
            "publicationState": "published",
            "identifier_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13522/?format=api"
            ],
            "observationCollection": [
                "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/45397/?format=api"
            ],
            "parentProject": null,
            "subProject": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214776/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217269/?format=api"
            ]
        },
        {
            "ob_id": 44848,
            "uuid": "78f5d23074814017ace83958cfc460e2",
            "title": "World Ocean Database",
            "abstract": "The World Ocean Database (WOD) is world's largest collection of uniformly formatted, quality controlled, publicly available ocean profile data. It is a powerful tool for oceanographic, climatic, and environmental research, and the end result of more than 20 years of coordinated efforts to incorporate data from institutions, agencies, individual researchers, and data recovery initiatives into a single database. https://www.ncei.noaa.gov/products/world-ocean-database",
            "keywords": "",
            "status": "completed",
            "publicationState": "published",
            "identifier_set": [],
            "observationCollection": [],
            "parentProject": null,
            "subProject": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214790/?format=api"
            ]
        },
        {
            "ob_id": 44857,
            "uuid": "e5a8282d20ac45a094f763aaba1d7a51",
            "title": "Linear Optimal Runoff Aggregate (LORA)",
            "abstract": "LORA is a new global runoff dataset and its associated uncertainty with monthly temporal resolution covering the period 1980-2012 with 0.5 degree latitude and longitude resolution. A weighting approach was applied to optimally combine available gridded runoff datasets from the eartH2Observe project. The weighting was constrained with streamflow observational records from various source. The weighting method is based on the ability of the models to match observed streamflow data while accounting.",
            "keywords": "",
            "status": "completed",
            "publicationState": "published",
            "identifier_set": [],
            "observationCollection": [],
            "parentProject": null,
            "subProject": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214849/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214850/?format=api"
            ]
        },
        {
            "ob_id": 44859,
            "uuid": "0083e48cccb9462c987af9860570bf3c",
            "title": "Harmonized Wolrd Soil Database",
            "abstract": "The Harmonized World Soil Database version 2.0 (HWSD v2.0) is a unique global soil inventory providing information on the morphological, chemical and physical properties of soils at approximately 1 km resolution. Its main objective is to be useful for modelers and to serve as a basis for prospective studies on agroecological zoning, food security and the impacts of climate change. https://openknowledge.fao.org/items/85cc8895-e135-4c5b-94bb-a814e60a69ab",
            "keywords": "",
            "status": "completed",
            "publicationState": "published",
            "identifier_set": [],
            "observationCollection": [],
            "parentProject": null,
            "subProject": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214861/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214862/?format=api"
            ]
        },
        {
            "ob_id": 44868,
            "uuid": "53781a9dbe664f1ab6b3c8d8f27243de",
            "title": "IMpacts of PRecipitation from Extreme StormS - Malaysia (IMPRESS-Malaysia)",
            "abstract": "IMPRESS-Malaysia is a NERC funded project to study the hydrological impacts of extreme precipitation over Malaysia.\r\n\r\nIn a warmer climate, the amount of precipitation is expected to increase, as warmer air can hold more water. At the regional level - where impacts are felt - patterns of change are less well understood due to uncertainty in the circulation response to warming. In addition to these changes in mean precipitation, increases in precipitation extremes may be considerable, and are expected to increase at around 7% per degree Celsius of warming. Extreme events frequently cause the greatest damage, making understanding the nature of changes in both the frequency and magnitude of such extremes a critical issue given their impact on society.\r\n\r\nIn Peninsular Malaysia, the majority of the annual total precipitation is produced by a relatively small number of intense events. These extreme precipitation events have been increasing in recent decades. They can lead to considerable damage through flooding, which can be enhanced by changes in land use. Annual, average annual flood losses are currently around RM 915 million in Malaysia. In a warmer climate, a shift to a more intense wet season (which is expected), with increased frequency of the most extreme events, may have significant implications for the hydrology of Peninsular Malaysia and associated impacts on society.\r\n\r\nThis project will investigate the dynamical features (e.g. tropical storms) that lead to extreme precipitation in Malaysia. It will study both their present-day behaviour and likely changes in the future. In doing so, it will achieve a dynamically constrained understanding of future extreme precipitation events. This represents a considerable advance on our current understanding of future changes in extreme precipitation in Malaysia. The project will then use this information to run a hydrological model to estimate future changes in streamflow, flood magnitudes and flood return periods. This model will include estimates of land use change which will also be developed as part of the project. Through this, information of unprecedented detail will be available to Malaysian government and society of the risks and impacts of future changes in extreme precipitation and associated changes in river flow. The project will also use this information to assess current intervention strategies and to develop a model of flood management which takes into account our improved understanding of flood risk. This information will be disseminated to a wide array of actors across government and civil society to ensure it has maximum impact. Ensuring that future infrastructural, societal and agricultural development in Malaysia is informed by prospective changes in key climate events is critical to successfully adapt to a warmer climate, whilst mitigating the impact of any changes on society and the economy of Malaysia. This project has the capacity to make a significant contribution to that aim.\r\n\r\nThe techniques developed as part of this project could be readily applied in other river basins and countries, such that the impact and longevity of this work could be far broader than the scope currently envisaged. The project partners intend to work with other collaborators to ensure that these broader benefits are realised.  NE/S002707/1",
            "keywords": "NE/S002707/1",
            "status": "completed",
            "publicationState": "preview",
            "identifier_set": [],
            "observationCollection": [],
            "parentProject": null,
            "subProject": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214912/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214913/?format=api"
            ]
        },
        {
            "ob_id": 44892,
            "uuid": "cf3852670bc2474ba22c221e6a353730",
            "title": "Exploring the boundary of skilful seasonal forecasts for extreme storms over the North-Atlantic",
            "abstract": "The aim of EX-Storms is to explore the boundary of skilful seasonal predictions for extremely rare, but devastating winter windstorms caused by the most intense extra-tropical cyclones over the North-Atlantic and Europe. This data set relates to objective 1 of the project to significantly increase the sample size and thus the ability to analyse extreme rare events in a physically consistent way with the novel UNSEEN approach for ensemble hindcasts.",
            "keywords": "",
            "status": "completed",
            "publicationState": "published",
            "identifier_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13560/?format=api"
            ],
            "observationCollection": [],
            "parentProject": null,
            "subProject": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215092/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215093/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215094/?format=api"
            ]
        },
        {
            "ob_id": 44901,
            "uuid": "1f6f8b16d21442a6a8c2924f57095cd6",
            "title": "NERC C-CLEAR DTP",
            "abstract": "Part of PhD project funded by NERC C-CLEAR DTP",
            "keywords": "",
            "status": "completed",
            "publicationState": "published",
            "identifier_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13562/?format=api"
            ],
            "observationCollection": [],
            "parentProject": null,
            "subProject": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215123/?format=api"
            ]
        },
        {
            "ob_id": 44922,
            "uuid": "52430f9919de4701b3513491fe119cb5",
            "title": "Building Resilient Cities for Heat Waves",
            "abstract": "This NERC Independent Research Fellowship project employs both modelling and observational approaches to investigate the urban-atmospheric interactions as well as the urban surface energy balance under heatwaves.\r\nThe project aims to develop a comprehensive understanding of the urban-atmospheric interactions and the urban surface energy balance under heatwaves, and to provide a new dataset of building morphology for urban climate modelling.",
            "keywords": "",
            "status": "completed",
            "publicationState": "published",
            "identifier_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13564/?format=api"
            ],
            "observationCollection": [],
            "parentProject": null,
            "subProject": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215246/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215247/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215248/?format=api"
            ]
        },
        {
            "ob_id": 44948,
            "uuid": "47150f1b97dd4dabae115c8369860771",
            "title": "JNCC NCEA Habitat Condition Change Project",
            "abstract": "Sentinel 1 and Sentinel 2 derived index layers have been created by the Joint Nature Conservation Committee (JNCC) as part of the Earth observation-based “Habitat Condition Change” project (HabCon). This project is funded by the Department for Environment, Food and Rural Affairs (Defra) as part of the Natural Capital and Ecosystem Assessment (NCEA) programme. The project seeks to facilitate the effective uptake and use of Earth Observation data by producing data and tools for investigating and detecting parcel-level change in habitats and habitat condition.\r\nIndex files were derived from Defra and JNCC Sentinel 1 and Sentinel 2 ARD across England and Scotland for the period 2015 to 2025 and will be added to regularly. \r\nThe Sentinel 2 dataset contains NDVI, NDMI, NDWI, NBR and EVI2 indices. \r\nFor Sentinel 1, VH/VV cross-ratio files have been generated for Sentinel-1A ascending orbit granules only.",
            "keywords": "JNCC, ARD, VH/VV, NDVI, NBR, NDMI, NDWI, EVI2, Sentinel 1, Sentinel 2, EO indices, Analysis Ready Data, Sentinel, SAR, NCEA",
            "status": "ongoing",
            "publicationState": "published",
            "identifier_set": [],
            "observationCollection": [],
            "parentProject": null,
            "subProject": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215333/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215334/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215335/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215336/?format=api"
            ]
        },
        {
            "ob_id": 44952,
            "uuid": "d44ae8c7cb4e41fb99779886e3008951",
            "title": "Space Weather Instrumentation, Measurement, Modelling and Risk (SWIMMR) - Thermosphere\"",
            "abstract": "The Space Weather Instrumentation, Measurement, Modelling and Risk - Thermosphere (SWIMMR-T) project is a \"Research to Operations\" (R2O) initiative designed to improve the UK’s ability to monitor and forecast the Earth’s thermosphere (the atmospheric layer from ~90 km to 1,000 km). While this region is the primary environment for Low Earth Orbit (LEO) satellites, it is highly sensitive to solar activity and long-term climate change. The project’s main goal is to provide the Met Office Space Weather Operations Centre (MOSWOC) with high-fidelity models to predict satellite drag and prevent orbital collisions.",
            "keywords": "",
            "status": "completed",
            "publicationState": "published",
            "identifier_set": [],
            "observationCollection": [],
            "parentProject": null,
            "subProject": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215357/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215358/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215359/?format=api"
            ]
        },
        {
            "ob_id": 45106,
            "uuid": "48df3bc5abf34360b4acf1343c2bbc77",
            "title": "ESA Precursors Climate Change Initiative Project (Precursors CCI)",
            "abstract": "The European Space Agency (ESA) Precursors Climate Change Initiative (Precursors CCI) project is part of ESA's Climate Change Initiative (CCI) to produce long term datasets of Essential Climate Variables derived from global satellite data.\r\n\r\nThis project is developing long-term climate data records of the GCOS Precursors for Aerosol and Ozone Essential Climate Variable. Precursors include the short-lived atmospheric trace gases: nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO), formaldehyde (HCHO), and ammonia (NH3).",
            "keywords": "ESA, Precursors, CCI",
            "status": "ongoing",
            "publicationState": "",
            "identifier_set": [],
            "observationCollection": [
                "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44908/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/45107/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/45366/?format=api"
            ],
            "parentProject": null,
            "subProject": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215924/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215916/?format=api"
            ]
        },
        {
            "ob_id": 45144,
            "uuid": "281abbdda6ad4dc0a3e95dac0c3e68fb",
            "title": "WM-Air (the West Midlands Air Quality Improvement Programme)",
            "abstract": "WM-Air was designed to support the improvement of air quality, and associated health, environmental and economic benefits, across the West Midlands",
            "keywords": "",
            "status": "completed",
            "publicationState": "published",
            "identifier_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13654/?format=api"
            ],
            "observationCollection": [],
            "parentProject": null,
            "subProject": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216056/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216057/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216058/?format=api"
            ]
        },
        {
            "ob_id": 45169,
            "uuid": "5dd74fca610b4226a1b325d1c5726e2c",
            "title": "Long-term Single Centre Science (LTSS)",
            "abstract": "",
            "keywords": "",
            "status": "completed",
            "publicationState": "published",
            "identifier_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13666/?format=api"
            ],
            "observationCollection": [],
            "parentProject": null,
            "subProject": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216149/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216150/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216151/?format=api"
            ]
        },
        {
            "ob_id": 45179,
            "uuid": "26269b13a8fb444eb494972f59dd43cf",
            "title": "Crowd-Grid",
            "abstract": "The Crowd-Grid project has delivered a set of daily maximum/minimum temperatures on 1km grids for the UK. It uses crowdsourced and 3rd party observations to give a detailed view of the temperatures people experience, including in built-up areas. A set of Recent Heat Packs for each UK local authority makes the Crowd-Grid information more accessible for users. Crowd-Grid differs from and complements HadUK-Grid, the Met Offices \"standard \" gridded dataset and official climate record.",
            "keywords": "",
            "status": "completed",
            "publicationState": "published",
            "identifier_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13667/?format=api"
            ],
            "observationCollection": [],
            "parentProject": null,
            "subProject": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216224/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216225/?format=api"
            ]
        },
        {
            "ob_id": 45252,
            "uuid": "44efc5752ede4682a155f3e98f2079c0",
            "title": "A Two City study of Air Quality in Vietnam",
            "abstract": "The World Health Organisation describes poor air quality as the largest single environmental health risk and attributes eight million deaths annually to the consequences of exposure to air pollution. In recent times Vietnam has undergone rapid urbanisation, industrialisation and population growth and, as a result, has become one of the most polluted countries in the world. Despite this, air quality monitoring in Vietnam is patchy, and many of the previously reported studies are now quite dated.",
            "keywords": "",
            "status": "completed",
            "publicationState": "published",
            "identifier_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13693/?format=api"
            ],
            "observationCollection": [],
            "parentProject": null,
            "subProject": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216518/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216519/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216520/?format=api"
            ]
        },
        {
            "ob_id": 45352,
            "uuid": "0c80814cd7ec4f15a89629c582968b74",
            "title": "Climate Change in the Arctic and North Atlantic Region and Impacts on the UK (CANARI)",
            "abstract": "CANARI is a 5-year research programme dedicated to understanding how climate variability and change in the Arctic-North Atlantic region will impact on the UK, with a focus on extreme weather and rapid, disruptive change.\r\nCANARI stands for Climate change in the Arctic – North Atlantic region and Impacts on the UK. The programme will take an all-in-one view of the Arctic – North Atlantic climate system, including the ocean, atmosphere and sea ice, to understand how changes in this region will affect the UK.\r\n\r\nCANARI is led by the National Centre for Atmospheric Science in collaboration with several Natural Environment Research Council research centres, including: British Antarctic Survey, British Geological Survey, Centre for Polar Observation and Modelling, National Centre for Earth Observation, National Oceanography Centre, and UK Centre for Ecology & Hydrology. The Met Office are project partners in CANARI.\r\n\r\nCANARI is part of the Natural Environment Research Council’s National Capability Multi-Centre Science programme – designed to bring science centres together for more ambitious, integrated, and large-scale research into critical environmental challenges.  NE/W004984/1",
            "keywords": "CANARI, LTSM, NE/W004984/1",
            "status": "ongoing",
            "publicationState": "preview",
            "identifier_set": [],
            "observationCollection": [],
            "parentProject": null,
            "subProject": [],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216917/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216918/?format=api"
            ]
        },
        {
            "ob_id": 45425,
            "uuid": "c3ec2248102a4e68a8419fe240a25c23",
            "title": "VERIFY FAAM Aircraft Project",
            "abstract": "The VERIFY project utilised the FAAM aircraft. Further details to follow.",
            "keywords": " VERIFY, FAAM, Met Office",
            "status": "completed",
            "publicationState": "working",
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