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/25533/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 25533,
    "uuid": "30ecf53e8c5a4977810b24a3ce90ad90",
    "title": "DoGMA: Evaluating Dust forecasting over the eastern Mediterranean Area",
    "abstract": "The EUFAR DOGMA project aimed to investigate the properties of dust clouds in the Mediterranean region using airborne in-situ measurements on board the DLR Falcon aircraft.  \r\nDust is the most abundant aerosol at the greater Mediterranean region. Apart from the air quality implications, dust is also a significant climate and weather\r\nmodulator. Dust aerosols are very efficient ice nuclei (IN), and they play an important role in heterogeneous cloud glaciation. Introducing a dust based ice\r\nnucleation parameterization in NMM-DREAM model allows the calculation of dust IN activation and the related impacts in cloud properties. However, in order to\r\nproperly assess the modification of cloud properties due to dust contamination one should first evaluate the model performance with regards to the basic\r\nparameters that participate in these processes. \r\nThe main objectives of this project are to \r\n1. Measure temperature and humidity profiles inside the elevated dust layers\r\n2. Examine the concentration of airborne dust particles and their size distribution (fine to coarse ratio) over the greater E Mediterranean region.\r\n3. Assess the accuracy of dust concentration forecasting in NMM-DREAM and investigate the ice glaciation capabilities of the model.\r\n\r\nThe methodology proposed to carry out the experiment is mainly based on observations of Saharan mineral dust plumes. During spring, these plumes are usually\r\naccompanied by cloud formations often leading to stormy weather and severe precipitations including wet deposition of dust. These clouds are affected by dust\r\nand their properties are altered depending on dust concentration and sizes. Aircraft measurements of the meteorological and aerosol parameters inside the dust\r\nlayers will be used to evaluate the performance of NMM-DREAM forecast fields. Model interpretation and assessment of the simulations will be performed\r\ntogether with space-borne and aircraft lidar profiles, ground photometers and ground chemical/size characterization of dust.\r\nThe anticipated outputs from this work include the improvement of our knowledge on dust processes and the validation of dust modeling results that will increase\r\nour confident on these products over this particular area. ",
    "keywords": "EUFAR, DOGMA, dust",
    "status": "completed",
    "publicationState": "published",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/9553/?format=api"
    ],
    "observationCollection": [],
    "parentProject": "https://api.catalogue.ceda.ac.uk/api/v2/projects/6385/?format=api",
    "subProject": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106823/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106824/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106825/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106826/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106827/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/106828/?format=api"
    ]
}