Migration Property List
Get a list of MigrationProperty objects.
GET /api/v3/migrationproperties/?format=api&offset=4700
{ "count": 5522, "next": "https://api.catalogue.ceda.ac.uk/api/v3/migrationproperties/?format=api&limit=100&offset=4800", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/migrationproperties/?format=api&limit=100&offset=4600", "results": [ { "id": 9347, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10234 }, { "id": 9348, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10236 }, { "id": 9349, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10238 }, { "id": 9350, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10240 }, { "id": 9351, "key": "project.content.extra", "value": " <br />This application aims to investigate the small-scale variability in glacier topography and albedo for two reasons. First, to investigate its impact on glacier surface energy balance and runoff for a specific case study, and second, to improve the representation of this variability in larger scale ice sheet models, in order to improve regional ice mass balance and runoff estimates. It is important to accurately model the effects of future climate change on glacier and ice sheet mass balance and runoff because of their possible implications for ocean circulation changes and further feed-backs to the regional climate system. To undertake this research, the key data requirements are an accurate, large-scale Digital Elevation Model (DEM) of a glacier, and a spatially distributed albedo model, preferably at the same spatial resolution.", "modified": "2014-09-28", "ob_ref": 10242 }, { "id": 9352, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10242 }, { "id": 9353, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10244 }, { "id": 9354, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10246 }, { "id": 9355, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10248 }, { "id": 9356, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10250 }, { "id": 9357, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10252 }, { "id": 9358, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10254 }, { "id": 9359, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10256 }, { "id": 9360, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10258 }, { "id": 9361, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10260 }, { "id": 9362, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10262 }, { "id": 9363, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10264 }, { "id": 9364, "key": "project.content.extra", "value": " <br />\nWe propose to collect multi-spectral and ALS data in mid summer (full leaf canopy) for four contrasting deciduous woodlands. All four woods are the focus of long-term bird monitoring/census work and are subject to various degrees of deer damage (see below). Three of the four contain deer exclosures. In addition, we propose to collect the same data in mid winter (no leaf canopy) for one site, Wytham Woods. Wytham has suffered extensive deer damage to the ground flora and shrub layer (see below for details). Using a combination of summer and winter data we will investigate the structural characteristics of this level of deer damage. It might then be possible to use such characteristics as a signature of significant damage identifiable via airborne survey at a landscape-scale. A second site, Bradfield Woods, is a working coppiced woodland and thus contrasts between levels of exposure to deer grazing should also be visible in the summer data for the recently cut compartments.", "modified": "2014-09-28", "ob_ref": 10266 }, { "id": 9365, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10266 }, { "id": 9366, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10268 }, { "id": 9367, "key": "project.content.extra", "value": " <br />The project aims to relate airborne reflectance data to canopy structural and biochemical parameters describing to canopy structure and productivity. In situ measurements of CO2 flux will be used to quantify net (daily and annual) fluxes of energy and carbon, which will in turn be compared to EO measures known to be related to vegetation productivity such as light-use-efficiency (LUE) and photochemical reflectance index (PRI). Canopy structural parameters will be extracted from airborne data using canopy scattering models driven by 3D models of canopy structure. This work will augment existing development of 3D forest modelling and reflectance simulation methods. Inversion of structural parameters will be carried out using look-up-table methods. Biochemical parameters of interest include leaf pigment concentration, photosynthetic activity, LUE and PRI; structural parameters include canopy height, leaf area index (LAI), standing biomass and canopy clumping. To obtain both biochemical and structural parameters, multispectral multiangular reflectance data are required. The results of this project will contribute to understanding how terrestrial carbon fluxes can be related to EO data and, in particular, how uncertainties in the calculation of such fluxes can be reduced.", "modified": "2014-09-28", "ob_ref": 10270 }, { "id": 9368, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10270 }, { "id": 9369, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10272 }, { "id": 9370, "key": "project.content.extra", "value": " <br />This proposal is part of a project, funded by the NERC LOCAR thematic programme, which is developing new methods of estimating evaporation at the catchment scale using numerical models. In terms of the land surface, one of the challenges lies in knowing what values to use for the model parameters that describe the vegetation. The uncertainties in these parameters manifest themselves in uncertainty in the estimates of evaporation. Three of the parameters: canopy height, the amount of leaves and the amount of the sun's energy reflected by the vegetation, can be measured using remotely sensed data. We will use airborne remotely sensed data to quantify the variability in these parameters, both across the landscape as a whole and within fields. Then we can use these measures of variability to investigate how much effect they have on the estimates of evaporation. The result will be more reliable estimates of evaporation for use in informing the balance between the supply of water to householders, industry and agriculture and its use to support the flora and fauna.", "modified": "2014-09-28", "ob_ref": 10274 }, { "id": 9371, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10274 }, { "id": 9372, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10276 }, { "id": 9373, "key": "project.content.extra", "value": " <br />\nThe proposal aims to further develop the CASI imagery processing, validate ocean colour satellite imagery and develop/validate a reflectance model. This will progress the fields of marine optics and earth observation by providing a greater understanding of bio-geophysical properties within the Plymouth coastal waters.", "modified": "2014-09-28", "ob_ref": 10278 }, { "id": 9374, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10278 }, { "id": 9375, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10280 }, { "id": 9376, "key": "project.content.extra", "value": " <br />\nIt is impossible to remotely (from satellite) observe ocean colour through cloud, and time on research vessels is limited and expensive. Mounting colour sensors on aircraft provides a means of avoiding some of the cloud and covering larger areas in shorter time periods and the airborne sensors, such as CASI, provide a valuable link between the sea surface measurements and satellite data (e.g. SeaWiFS and MERIS). Another method being trialled is by the installation of above-water radiometers on the ferries, such as the Ulysses, crossing from Dublin-Holyhead, providing regular temporal coverage, though restricted spatial coverage of the central Irish Sea. All methods provide measurements of surface colour signatures relating to water quality parameters, but need to be cross validated with in situ data to enable the derivation of algorithms and as validation for the atmospheric correction. This project proposes a combined approach using airborne, above-water and satellite radiometry to study the biogeochemical variability across the Irish Sea with in situ sampling providing validation data.", "modified": "2014-09-28", "ob_ref": 10282 }, { "id": 9377, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10282 }, { "id": 9378, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10284 }, { "id": 9379, "key": "project.content.extra", "value": " <br />\nThe study aims to assess the ground thermal conditions in Greater Manchester within the context of an ongoing multidisciplinary research project Adaptation Strategies to Climate Change in the Urban Environment (ASCCUE). We will use a novel modelling approach developed by Whitford et al. (2001) to calculate minimum and maximum surface temperatures for a hot summers day. Thermal data will allow us to validate our climate modelling approach with measured data and as an input into the human comfort study. Radiant surface temperatures will be estimated from data obtained with the Airborne Thematic Mapper (ATM). A north-south transect across Greater Manchester has been chosen for this purpose that includes a cross-section of urban morphology types. Thermal data will be input into a geographical information system to estimate mean radiant surface temperatures for morphology types and relate thermal conditions to their surface cover. Measured radiant temperatures will then be compared with the calculated surface temperatures to explore the predictive ability of the model. If systematic errors are detected, correction factors will be incorporated into our models, and used in later calculations of human comfort. We anticipate a range of downstream applications in particular within the frame of the Integrating Framework of Building Knowledge for a Changing Climate (BKCC).", "modified": "2014-09-28", "ob_ref": 10286 }, { "id": 9380, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10286 }, { "id": 9381, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10288 }, { "id": 9382, "key": "project.content.extra", "value": " <br />There is widespread demand for the interpretation of remotely sensed data into ecologically meaningful classes and in particular, for a greater understanding of the temporal and spatial dynamics of wetland vegetation. This process becomes complex when classification techniques are applied to heterogenous vegetation with no clear boundaries between habitat types. As these fuzzy boundaries, or 'ecotones', may serve as environmental indicators in their own right, the development of techniques to analyse the nature and distribution of these becomes an objective in itself. Airborne RS data will be combined with intensive field spectrometry in order to gain a greater understanding of the effects of species composition and within habitat variation, as well as underlying hydrological regimes, on spectral response. Multitemporal and multispectral datasets are employed to determine the most accurate classification techniques. Quantitative approaches to determine the nature of boundary pixels and transitional zones and the utilisation of change detection techniques with previously acquired imagery, are proposed. Two flights at Insh Marshes are to be used in combination with one from the end of the growing season 2003 to assess phytophenological changes in spectral response. Data acquired at a similar site (Achanalt) will be used to assess the wider applicability of the techniques developed.", "modified": "2014-09-28", "ob_ref": 10290 }, { "id": 9383, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10290 }, { "id": 9384, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10292 }, { "id": 9385, "key": "project.content.extra", "value": " <br />\nManaged retreat (or re-alignment) is becoming increasingly used as an alternative to 'hard' coastal defence and provides the opportunity to restore or create inter-tidal habitats from agricultural land. However, little is known about the rates and spatial variability of habitat restoration, the quality of restored habitats and the factors that affect re-colonisation by invertebrate and avian species. The aim of this project is to use a combination of field and airborne data to assess these key factors at two sites in Scotland. Nigg Bay on the Cromarty Firth is in the very early stages of re-alignment, while the Kincardine and Skinflats mud flats on the Forth Estuary are due to be re-aligned in 2003/2004. The collection of airborne data at such a crucial and early stage of re-alignment will provide a rare opportunity to study the effects of managed retreat in detail. This research is essential for informing future policy and for the management of re-aligned sites so that the best possible quality of restored habitats is achieved.", "modified": "2014-09-28", "ob_ref": 10294 }, { "id": 9386, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10294 }, { "id": 9387, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10296 }, { "id": 9388, "key": "project.content.extra", "value": " <br />\nAn investigation into the capability of hyperspectral remote sensing to detect potential sites of vulnerability was conducted along an 8km stretch of buried gas pipeline in Aberdeenshire, which traverses a range of arable crop types. Ultimately, it is intended that an algorithm will be developed to aid the detection of vulnerable sites in the vicinity of buried gas pipelines.\n\nCASI-2 Enhanced Spectral Mode (72 band configuration) and Spatial Mode, employing the default VEGETATION bandset, imagery will be required for the 8 km long stretch of pipeline, covering a strip 200 metres either side of the pipe. Ground calibration will be conducted simultaneously with the overflight, using an ASD field spectroradiometer and dGPS equipment belonging to Newcastle University.", "modified": "2014-09-28", "ob_ref": 10298 }, { "id": 9389, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10298 }, { "id": 9390, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10300 }, { "id": 9391, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10302 }, { "id": 9392, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10304 }, { "id": 9393, "key": "project.content.extra", "value": " <br />\nOlives have been cultivated in the Mediterranean for millennia and traditional methods of cultivation have created a stable, sustainable ecosystem. In Crete, traditionally managed olive groves are internationally recognised as being of key significance in the island's landscape ecology. The trees provide a shaded under-story supporting limited cultivation and rich assemblages of perennial plants of considerable ecological/conservation significance.Unfortunately, recent changes (abandonment; replanting; mechanised cultivation; fertilizers/herbicide and irrigation) threaten these communities. Cumulatively these changes threaten the quality, diversity and sustainability of the ecosystem.Hitherto, remote sensing has enabled accurate delineation of olive extent but has offered no possibility of evaluating age, species, under-storey properties and diversity. Although sensors suitable for wide area mapping exhibit distinct variability in olive signatures the properties they represent have proved too complex to map.This study will exploit the potential of high resolution Airborne LiDAR and CASI to characterise distinct olive typologies (young/old, replanted/wild, (un)irrigated, (un)terraced. It will examine the unique potential of LiDAR for describing canopy vertical structure/properties and use ATM/CASI for classification of cover and productivity. The results will be scaled up using existing (E)TM, DEM and classification data to map the status of this important landscape system.", "modified": "2014-09-28", "ob_ref": 10306 }, { "id": 9394, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10306 }, { "id": 9395, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10308 }, { "id": 9396, "key": "project.content.extra", "value": " <br />Mount Psiloritis forms part of the backbone of Crete rising to 2,500 metres within 15 km. of the sea. Its semi-natural garrigue communities are of world significance for endemism and biodiversity. Its headwater streams feed the adjacent Messara rift valley which has seen intensive irrigation and farming since 1985. Hydrological studies have shown that ground water levels have dropped systematically and streams are drying out seasonally. Serious concern surrounds the impact on vegetation communities. \n\nPrevious work by the applicants has enabled creation of a GIS containing ortho-corrected TM/ERS satellite imagery, land cover maps and a 10 metre, stereo-matched DEM. NDVI analysis has revealed a strong relationship between garrigue biomass and altitude over 1200 metres but this breaks down completely at lower altitudes. It is hypothesised that this is caused by disturbance. Despite extensive floristic and hydrological studies no detailed mapping of the vegetation structure is yet available.\n\nThis study seeks to use high resolution LiDAR, CASI and ATM data to characterise the 3d structure and biomass of the vegetation at strategic locations on the mountain. It will use LiDAR derived measures of vegetation quantity and classified ATM data to calibrate the NDVI profiles. CASI will be used for examination of vegetation health. By comparison of survey sites it is hoped to explain the observed, macro patterns in NDVI and to further test the hypothesis that lowering of ground water levels is a threat to ecosystem sustainability.", "modified": "2014-09-28", "ob_ref": 10310 }, { "id": 9397, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10310 }, { "id": 9398, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10312 }, { "id": 9399, "key": "project.content.extra", "value": " <br />\nLandslides are an abundant feature of the Italian landscape, where they present both a major natural hazard and a rich source of data for the study of geomorphic processes. We have the Collazzone region of central Umbria as the focus for a study of landslide mechanisms. We propose to combine high resolution (1m) LIDAR terrain data with existing multitemporal maps of landslides to investigate the following: (1) the relationships among the surface morphology, the pattern of past and present landslides, and the triggering of subsequent hillslope failures; (2) the relationship between patterns of real and modeled hillslope instability - the latter derived from a model of rainfall, runoff and soil saturation, based on the LIDAR terrain model, and validated through field observation and monitoring. The landslide data for Collazzone, rigorously mapped and extensively field validated (by CNR-IRPI Perugia), represents an excellent basis for the quantitative study of topographic relief and mass-wasting. The high spatial precision of both the LIDAR topographic data and the landslide maps will permit a detailed investigation of the development of landslide complexes in particular, how and where subsequent slope failures are determined by pre-existing failures, and whether such relationships are dominantly morphological or mechanical.", "modified": "2014-09-28", "ob_ref": 10314 }, { "id": 9400, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10314 }, { "id": 9401, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10316 }, { "id": 9402, "key": "project.content.extra", "value": " <br />\nWe propose to use the special deployment opportunity to obtain LIDAR and aerial photographic images of the young volcanic Kameni Islands (Santorini, Greece). These data will be used to develop a high resolution digital elevation model, and detailed lava flow map, of these islands. This will provide a baseline for the subsequent quantification of medium-term (years - decades) deformation of the Kameni islands, and, in the event of the expected future eruptions, a pre-eruptive topographic baseline. Spectral imaging will also provide an excellent link with ground-based monitoring of active fumaroles on the island; in particular, to determine whether there are hotspots that are not currently monitored from the ground. This work will directly benefit colleagues in Greece who are responsible for continuous monitoring of this active volcano. This work complements research activities that are already underway on the Kameni islands, funded through two NERC studentships, that are aimed at understanding the recent eruptive behaviour of these islands.", "modified": "2014-09-28", "ob_ref": 10318 }, { "id": 9403, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10318 }, { "id": 9404, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10320 }, { "id": 9405, "key": "project.content.extra", "value": " <br />\nIn order to preserve our archaeological heritage it is imperative to map the spatial extent of buried as well as exposed ancient structures. This proposal seeks to utilise extensive existing geophysical and surface surveys combined with ground spectro-radiometer and soil temperature data to evaluate the degree to which the CASI, ATM and LiDAR sensors can identify buried/obscured archaeological structures at two adjacent sites on the island of Crete. Fundamental to this proposal is the hypothesis that buried archaeological features will result in anomalies in the characteristics of the overlying soil and vegetation, which can be detected through the CASI, ATM and/or LiDAR sensors. All three sensors are critical to test this hypothesis in order that imagery is acquired over the desired spectral range and to permit the production of a digital terrain model. Particular attention will be devoted to the study of the near and shortwave infrared and thermal channels to monitor for anomalies that could relate to buried features. Imagery will be integrated within a Geographical Information System (GIS) in order to interpret the data. The multi-disciplinary research team comprises of archaeologists as well as remote sensing specialists, which is considered essential in order to correctly interpret the data.", "modified": "2014-09-28", "ob_ref": 10322 }, { "id": 9406, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10322 }, { "id": 9407, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10324 }, { "id": 9408, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10326 }, { "id": 9409, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10328 }, { "id": 9410, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10330 }, { "id": 9411, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10332 }, { "id": 9412, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10334 }, { "id": 9413, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10336 }, { "id": 9414, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10338 }, { "id": 9415, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10340 }, { "id": 9417, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10342 }, { "id": 9418, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10344 }, { "id": 9419, "key": "project.content.extra", "value": " <br />The proposal will be used to achieve the following remote sensing aims (in conjunction with other fieldwork activities):\n <ol>\n<li>validation of ocean colour satellite imagery (primarily CHRIS-PROBA, but also MERIS and SeaWiFS)\n</li><li>further develop an atmospheric correction for the CASI imagery\n</li><li>develop and validate a reflectance model, relating the Inherent Optical Properties (IOPs) of the Plymouth coastal waters to the remote sensing reflectance signal.\n</li><li>investigation of fine scale and frontal structures using the ATM and aerial photography\n</li></ol>", "modified": "2014-09-28", "ob_ref": 10346 }, { "id": 9420, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10346 }, { "id": 9421, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10348 }, { "id": 9422, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10350 }, { "id": 9423, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10352 }, { "id": 9424, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10354 }, { "id": 9425, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10356 }, { "id": 9426, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10358 }, { "id": 9427, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10360 }, { "id": 9428, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10362 }, { "id": 9429, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10364 }, { "id": 9430, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10366 }, { "id": 9431, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10368 }, { "id": 9432, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10370 }, { "id": 9433, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10372 }, { "id": 9434, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10374 }, { "id": 9435, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10376 }, { "id": 9436, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10378 }, { "id": 9437, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10380 }, { "id": 9438, "key": "project.moles2_activity_subtype", "value": "dgActivityDataCampaign", "modified": "2014-09-28", "ob_ref": 10382 }, { "id": 9439, "key": "moles2.provider", "value": "neodc.nerc.ac.uk", "modified": "2014-09-28", "ob_ref": 10384 }, { "id": 9440, "key": "project.moles2_activity_subtype", "value": 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