Abstract. The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms dedicated to the estimation of terrestrial evaporation and root-zone soil moisture from satellite data. Ever since its development in 2011, the model has been regularly revised, aiming at the optimal incorporation of new satellite-observed geophysical variables, and improving the representation of physical processes. In this study, the next version of this model (v3) is presented. Key changes relative to the previous version include (1)\uffc2\uffa0a revised formulation of the evaporative stress, (2)\uffc2\uffa0an optimized drainage algorithm, and (3)\uffc2\uffa0a new soil moisture data assimilation system. GLEAM\uffc2\uffa0v3 is used to produce three new data sets of terrestrial evaporation and root-zone soil moisture, including a 36-year data set spanning 1980\uffe2\uff80\uff932015, referred to as v3a (based on satellite-observed soil moisture, vegetation optical depth and snow-water equivalent, reanalysis air temperature and radiation, and a multi-source precipitation product), and two satellite-based data sets. The latter share most of their forcing, except for the vegetation optical depth and soil moisture, which are based on observations from different passive and active C- and L-band microwave sensors (European Space Agency Climate Change Initiative, ESA CCI) for the v3b data set (spanning 2003\uffe2\uff80\uff932015) and observations from the Soil Moisture and Ocean Salinity (SMOS) satellite in the v3c data set (spanning 2011\uffe2\uff80\uff932015). Here, these three data sets are described in detail, compared against analogous data sets generated using the previous version of GLEAM (v2), and validated against measurements from 91 eddy-covariance towers and 2325 soil moisture sensors across a broad range of ecosystems. Results indicate that the quality of the v3 soil moisture is consistently better than the one from v2: average correlations against in situ surface soil moisture measurements increase from 0.61 to 0.64 in the case of the v3a data set and the representation of soil moisture in the second layer improves as well, with correlations increasing from 0.47 to 0.53. Similar improvements are observed for the v3b and c data sets. Despite regional differences, the quality of the evaporation fluxes remains overall similar to the one obtained using the previous version of GLEAM, with average correlations against eddy-covariance measurements ranging between 0.78 and 0.81 for the different data sets. These global data sets of terrestrial evaporation and root-zone soil moisture are now openly available at www.GLEAM.eu and may be used for large-scale hydrological applications, climate studies, or research on land\uffe2\uff80\uff93atmosphere feedbacks.
", "keywords": ["TERRESTRIAL WATER FLUXES", "QE1-996.5", "PONDEROSA PINE", "CARBON-DIOXIDE EXCHANGE", "WACMOS-ET PROJECT", "TRIPLE COLLOCATION ANALYSIS", "DATA ASSIMILATION SYSTEM", "Geology", "15. Life on land", "01 natural sciences", "DECIDUOUS FOREST", "EDDY-COVARIANCE", "PARAMETER RETRIEVAL MODEL", "13. Climate action", "Earth and Environmental Sciences", "ENERGY-BALANCE", "14. Life underwater", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://gmd.copernicus.org/articles/10/1903/2017/gmd-10-1903-2017.pdf"}, {"href": "https://doi.org/10.5194/gmd-10-1903-2017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-10-1903-2017", "name": "item", "description": "10.5194/gmd-10-1903-2017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-10-1903-2017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-08-05T00:00:00Z"}}, {"id": "10.1002/2017JD027346", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:13:58Z", "type": "Journal Article", "created": "2017-12-28", "title": "Soil Moisture-Temperature Coupling in a Set of Land Surface Models", "description": "AbstractThe land surface controls the partitioning of water and energy fluxes and therefore plays a crucial role in the climate system. The coupling between soil moisture and air temperature, in particular, has been shown to affect the severity and occurrence of temperature extremes and heat waves. Here we study soil moisture\uffe2\uff80\uff90temperature coupling in five land surface models, focusing on the terrestrial segment of the coupling in the warm season. All models are run off\uffe2\uff80\uff90line over a common period with identical atmospheric forcing data, in order to allow differences in the results to be attributed to the models' partitioning of energy and water fluxes. Coupling is calculated according to two semiempirical metrics, and results are compared to observational flux tower data. Results show that the locations of the global hot spots of soil moisture\uffe2\uff80\uff90temperature coupling are similar across all models and for both metrics. In agreement with previous studies, these areas are located in transitional climate regimes. The magnitude and local patterns of model coupling, however, can vary considerably. Model coupling fields are compared to tower data, bearing in mind the limitations in the geographical distribution of flux towers and the differences in representative area of models and in situ data. Nevertheless, model coupling correlates in space with the tower\uffe2\uff80\uff90based results (r = 0.5\uffe2\uff80\uff930.7), with the multimodel mean performing similarly to the best\uffe2\uff80\uff90performing model. Intermodel differences are also found in the evaporative fractions and may relate to errors in model parameterizations and ancillary data of soil and vegetation characteristics.
", "keywords": ["ENVIRONMENT SIMULATOR JULES", "FLUXES", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "CO2 EXCHANGE", "models", "WATER", "SCALE", "Research Articles", "0105 earth and related environmental sciences", "land surface", "CARBON-DIOXIDE EXCHANGE", "eartH2Observe", "temperature", "15. Life on land", "DECIDUOUS FOREST", "CLIMATE", "EVAPORATION", "VARIABILITY", "13. Climate action", "Earth and Environmental Sciences", "BALANCE", "land surface models", "SENSIBLE HEAT", "land-atmosphere interactions", "soil moisture"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2017JD027346"}, {"href": "https://doi.org/10.1002/2017JD027346"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Atmospheres", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2017JD027346", "name": "item", "description": "10.1002/2017JD027346", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2017JD027346"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-02-01T00:00:00Z"}}, {"id": "10.1029/2019jd030387", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:27Z", "type": "Journal Article", "created": "2019-06-19", "title": "Global 3-D Simulations of the Triple Oxygen Isotope Signature \u0394 17 O in Atmospheric CO 2", "description": "AbstractThe triple oxygen isotope signature \uffce\uff9417O in atmospheric CO2, also known as its \uffe2\uff80\uff9c17O excess,\uffe2\uff80\uff9d has been proposed as a tracer for gross primary production (the gross uptake of CO2 by vegetation through photosynthesis). We present the first global 3\uffe2\uff80\uff90D model simulations for \uffce\uff9417O in atmospheric CO2 together with a detailed model description and sensitivity analyses. In our 3\uffe2\uff80\uff90D model framework we include the stratospheric source of \uffce\uff9417O in CO2 and the surface sinks from vegetation, soils, ocean, biomass burning, and fossil fuel combustion. The effect of oxidation of atmospheric CO on \uffce\uff9417O in CO2 is also included in our model. We estimate that the global mean \uffce\uff9417O (defined as with \uffce\uffbbRL = 0.5229) of CO2 in the lowest 500\uffc2\uffa0m of the atmosphere is 39.6\uffc2\uffa0per meg, which is \uffe2\uff88\uffbc20\uffc2\uffa0per meg lower than estimates from existing box models. We compare our model results with a measured stratospheric \uffce\uff9417O in CO2 profile from Sodankyl\uffc3\uffa4 (Finland), which shows good agreement. In addition, we compare our model results with tropospheric measurements of \uffce\uff9417O in CO2 from G\uffc3\uffb6ttingen (Germany) and Taipei (Taiwan), which shows some agreement but we also find substantial discrepancies that are subsequently discussed. Finally, we show model results for Zotino (Russia), Mauna Loa (United States), Manaus (Brazil), and South Pole, which we propose as possible locations for future measurements of \uffce\uff9417O in tropospheric CO2 that can help to further increase our understanding of the global budget of \uffce\uff9417O in atmospheric CO2.
", "keywords": ["CARBONIC-ANHYDRASE ACTIVITY", "550", "STRATOSPHERIC CO2", "STOMATAL CONDUCTANCE", "TRACER", "stable isotopes", "MASS", "carbon dioxide (CO)", "01 natural sciences", "7. Clean energy", "DIOXIDE EXCHANGE", "O excess (\u0394O)", "3-DIMENSIONAL SYNTHESIS", "carbon dioxide (CO2)", "carbon cycle", "O-17 excess (Delta O-17)", "SDG 13 - Climate Action", "SDG 14 - Life Below Water", "Research Articles", "0105 earth and related environmental sciences", "O-18 CONTENT", "info:eu-repo/classification/ddc/550", "mass-independent fractionation (MIF)", "ddc:550", "gross primary production (GPP)", "15. Life on land", "Earth sciences", "13. Climate action", "MODEL TM5", "17O excess (\u039417O)", "FIRE EMISSIONS"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2019JD030387"}, {"href": "https://doi.org/10.1029/2019jd030387"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Atmospheres", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2019jd030387", "name": "item", "description": "10.1029/2019jd030387", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2019jd030387"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-04T00:00:00Z"}}, {"id": "10.1038/s41561-018-0212-7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:35Z", "type": "Journal Article", "created": "2018-08-22", "title": "Increased water-use efficiency and reduced CO2 uptake by plants during droughts at a continental scale", "description": "Severe droughts in the Northern Hemisphere cause widespread decline of agricultural yield, reduction of forest carbon uptake, and increased CO2 growth rates in the atmosphere. Plants respond to droughts by partially closing their stomata to limit their evaporative water loss, at the expense of carbon uptake by photosynthesis. This trade-off maximizes their water-use efficiency, as measured for many individual plants under laboratory conditions and field experiments. Here we analyze the 13C/12C stable isotope ratio in atmospheric CO2 (reported as \u03b413C) to provide new observational evidence of the impact of droughts on the water-use efficiency across areas of millions of km2 and spanning one decade of recent climate variability. We find strong and spatially coherent increases in water-use efficiency along with widespread reductions of net carbon uptake over the Northern Hemisphere during severe droughts that affected Europe, Russia, and the United States in 2001-2011. The impact of those droughts on water-use efficiency and carbon uptake by vegetation is substantially larger than simulated by the land-surface schemes of six state-of-the-art climate models. This suggests that drought induced carbon-climate feedbacks may be too small in these models and improvements to their vegetation dynamics using stable isotope observations can help to improve their drought response.", "keywords": ["FLUXES", "330", "GRASSLAND", "MODELS", "0207 environmental engineering", "02 engineering and technology", "CARBON-ISOTOPE DISCRIMINATION", "01 natural sciences", "DIOXIDE EXCHANGE", "LEAF", "Life Science", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "PRODUCTIVITY", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "PHOTOSYNTHESIS", "15. Life on land", "ATMOSPHERE", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "REDUCTION", "13. Climate action", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment"]}, "links": [{"href": "https://centaur.reading.ac.uk/78233/1/manuscript_WUE_v20_maintext.pdf"}, {"href": "http://www.nature.com/articles/s41561-018-0212-7.pdf"}, {"href": "https://doi.org/10.1038/s41561-018-0212-7"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41561-018-0212-7", "name": "item", "description": "10.1038/s41561-018-0212-7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41561-018-0212-7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-08-27T00:00:00Z"}}, {"id": "10.5194/bg-17-1033-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:23Z", "type": "Journal Article", "created": "2020-02-26", "title": "\"Estimating causal networks in biosphere\u2013atmosphere interaction with the PCMCI approach\"", "description": "Abstract. The dynamics of biochemical processes in terrestrial ecosystems are tightly coupled to local meteorological conditions. Understanding these interactions is an essential prerequisite for predicting, e.g. the response of the terrestrial carbon cycle to climate change. However, many empirical studies in this field rely on correlative approaches and only very few studies apply causal discovery methods. Here we explore the potential for a recently proposed causal graph discovery algorithm to reconstruct the causal dependency structure underlying biosphere\uffe2\uff80\uff93atmosphere interactions. Using artificial time series with known dependencies that mimic real-world biosphere\uffe2\uff80\uff93atmosphere interactions we address the influence of non-stationarities, i.e. periodicity and heteroscedasticity, on the estimation of causal networks. We then investigate the interpretability of the method in two case studies. Firstly, we analyse three replicated eddy covariance datasets from a Mediterranean ecosystem. Secondly, we explore global Normalised Difference Vegetation Index time series (GIMMS\uffc2\uffa03g), along with gridded climate data to study large-scale climatic drivers of vegetation greenness. We compare the retrieved causal graphs to simple cross-correlation-based approaches to test whether causal graphs are considerably more informative. Overall, the results confirm the capacity of the causal discovery method to extract time-lagged linear dependencies under realistic settings. For example, we find a complete decoupling of the net ecosystem exchange from meteorological variability during summer in the Mediterranean ecosystem. However, cautious interpretations are needed, as the violation of the method's assumptions due to non-stationarities increases the likelihood to detect false links. Overall, estimating directed biosphere\uffe2\uff80\uff93atmosphere networks helps unravel complex multidirectional process interactions. Other than classical correlative approaches, our findings are constrained to a few meaningful sets of relations, which can be powerful insights for the evaluation of terrestrial ecosystem models.
", "keywords": ["Agriculture and Food Sciences", "PINE FOREST", "Evolution", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "CO2 EXCHANGE", "Behavior and Systematics", "Life", "QH501-531", "BEECH FOREST", "QH540-549.5", "Earth-Surface Processes", "0105 earth and related environmental sciences", "QE1-996.5", "NET ECOSYSTEM EXCHANGE", "Ecology", "CARBON-DIOXIDE EXCHANGE", "SPRUCE FOREST", "Geology", "WATER-VAPOR FLUXES", "15. Life on land", "13. Climate action", "GRANGER-CAUSALITY", "INTERANNUAL VARIABILITY", "GAS-EXCHANGE"]}, "links": [{"href": "https://bg.copernicus.org/articles/17/1033/2020/bg-17-1033-2020.pdf"}, {"href": "https://doi.org/10.5194/bg-17-1033-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-17-1033-2020", "name": "item", "description": "10.5194/bg-17-1033-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-17-1033-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-02-26T00:00:00Z"}}, {"id": "10.5194/hess-22-4513-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:35Z", "type": "Journal Article", "created": "2018-08-27", "title": "Exploring the merging of the global land evaporation WACMOS-ET products based on local tower measurements", "description": "Abstract. An inverse error variance weighting of the anomalies of three terrestrial evaporation (ET) products from the WACMOS-ET project based on FLUXNET sites is presented. The three ET models were run daily and at a resolution of 25\uffe2\uff80\uff89km for 2002\uffe2\uff80\uff932007, and based on common input data when possible. The local weights, derived based on the variance of the difference between the tower ET anomalies and the modelled ET anomalies, were made dynamic by estimating them using a 61-day running window centred on each day. These were then extrapolated from the tower locations to the global landscape by regressing them on the main model inputs and derived ET using a neural network. Over the stations, the weighted scheme usefully decreased the random error component, and the weighted ET correlated better with the tower data than a simple average. The global extrapolation produced weights displaying strong seasonal and geographical patterns, which translated into spatiotemporal differences between the ET weighted and simple average ET products. However, the uncertainty of the weights after the extrapolation remained large. Out-sample prediction tests showed that the tower data set, mostly located at temperate regions, had limitations with respect to the representation of different biome and climate conditions. Therefore, even if the local weighting was successful, the extrapolation to a global scale remains problematic, showing a limited added value over the simple average. Overall, this study suggests that merging tower observations and ET products at the timescales and spatial scales of this study is complicated by the tower spatial representativeness, the products' coarse spatial resolution, the nature of the error in both towers and gridded data sets, and how all these factors impact the weights extrapolation from the tower locations to the global landscape.
", "keywords": ["Technology", "550", "SPATIAL VARIABILITY", "0207 environmental engineering", "FLUX MEASUREMENTS", "02 engineering and technology", "SOIL-MOISTURE", "Environmental technology. Sanitary engineering", "01 natural sciences", "[PHYS] Physics [physics]", "G", "ENERGY-BALANCE CLOSURE", "Geography. Anthropology. Recreation", "GE1-350", "TD1-1066", "0105 earth and related environmental sciences", "[PHYS]Physics [physics]", "EVAPOTRANSPIRATION ESTIMATION", "CARBON-DIOXIDE EXCHANGE", "T", "DECIDUOUS FOREST", "EDDY-COVARIANCE", "Environmental sciences", "TEMPERATE FOREST", "13. Climate action", "Earth and Environmental Sciences", "[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]", "INTERANNUAL VARIABILITY", "[PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph]"]}, "links": [{"href": "https://hess.copernicus.org/articles/22/4513/2018/hess-22-4513-2018.pdf"}, {"href": "https://doi.org/10.5194/hess-22-4513-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-22-4513-2018", "name": "item", "description": "10.5194/hess-22-4513-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-22-4513-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-08-27T00:00:00Z"}}, {"id": "10.5445/IR/1000073025", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:23:29Z", "type": "Journal Article", "created": "2017-07-18", "title": "The CarbonTracker Data Assimilation Shell (CTDAS) v1.0: implementation and global carbon balance 2001\u20132015", "description": "Abstract. Data assimilation systems are used increasingly to constrain the budgets of reactive and long-lived gases measured in the atmosphere. Each trace gas has its own lifetime, dominant sources and sinks, and observational network (from flask sampling and in situ measurements to space-based remote sensing) and therefore comes with its own optimal configuration of the data assimilation. The CarbonTracker Europe data assimilation system for CO2 estimates global carbon sources and sinks, and updates are released annually and used in carbon cycle studies. CarbonTracker Europe simulations are performed using the new modular implementation of the data assimilation system: the CarbonTracker Data Assimilation Shell (CTDAS). Here, we present and document this redesign of the data assimilation code that forms the heart of CarbonTracker, specifically meant to enable easy extension and modification of the data assimilation system. This paper also presents the setup of the latest version of CarbonTracker Europe (CTE2016), including the use of the gridded state vector, and shows the resulting carbon flux estimates. We present the distribution of the carbon sinks over the hemispheres and between the land biosphere and the oceans. We show that with equal fossil fuel emissions, 2015 has a\uffc2\uffa0higher atmospheric CO2 growth rate compared to 2014, due to reduced net land carbon uptake in later year. The European carbon sink is especially present in the forests, and the average net uptake over 2001\uffe2\uff80\uff932015 was 0.\uffe2\uff80\uff8917\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff890.\uffe2\uff80\uff8911\uffe2\uff80\uffafPgC\uffe2\uff80\uff86yr\uffe2\uff88\uff921 with reductions to zero during drought years. Finally, we also demonstrate the versatility of CTDAS by presenting an overview of the wide range of applications for which it has been used so far.
", "keywords": ["FLUXES", "QE1-996.5", "info:eu-repo/classification/ddc/550", "550", "ddc:550", "ENSEMBLE", "Geology", "BUDGET", "15. Life on land", "01 natural sciences", "7. Clean energy", "Earth sciences", "DIOXIDE EXCHANGE", "INVERSIONS", "13. Climate action", "MODEL TM5", "Life Science", "CO2", "EMISSIONS", "DROUGHT", "SYSTEM", "SDG 15 - Life on Land", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5445/IR/1000073025"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5445/IR/1000073025", "name": "item", "description": "10.5445/IR/1000073025", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5445/IR/1000073025"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-03-21T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=DIOXIDE+EXCHANGE&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=DIOXIDE+EXCHANGE&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=DIOXIDE+EXCHANGE&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=DIOXIDE+EXCHANGE&offset=7", "hreflang": "en-US"}], "numberMatched": 7, "numberReturned": 7, "distributedFeatures": [], "timeStamp": "2026-05-24T23:10:12.008681Z"}