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Separation of faeces and urine under slats in swine buildings using different technologies such as V-shaped scraper is becoming popular. Indeed, such a separation can allow improving air quality in the building and can also facilitate management of manure through concentration of carbon and phosphorus in the solid phase. Though solid phase management is well established through anaerobic digestion, the liquid phase, mainly urine, is still to be recycled or disposed of. However, the characteristics of this kind of effluent are quite different compared to slurry obtained from conventional building and corresponding to a mix of urine and faeces. Such characteristics are poorly documented and very few data are available in the literature. This dataset provides insight on the characteristics of this effluent to achieve treatment or nutrient recovery. Nine pig farms equipped with a V-shaped scraper and using different farming practices were selected for the sampling of this liquid phase. Building characteristics including animal capacity and physiological stage of animals and feeding strategy were taken into account. The characterisation of this effluent focused on global parameters (pH, Alkalinity, TS, VS, TSS, VSS) but also on the carbon and nitrogen content (COD, TKN, TAN). Total compounds and dissolved ions were also analysed to round off the characterisation. Finally, the characteristics of such liquid effluent were compared to urine collected directly from animals without contact with faeces.

This article contains the data of 11 organic substrates including physicochemical, biochemical and nutritional characterisations. Additionally, it includes for all substrates the data of organic matter fractionation into easily biodegradable, slowly biodegradable and inert fractions performed with anaerobic respirometry method. Finally, based on physicochemical characterisations and organic matter fractionation, a detailed methodology for the determination of input state variables required for the anaerobic digestion model N°1 (ADM1) was presented and the dataset for all substrates is provided. An example of calculation for one substrate illustrates the methodology for the determination of these variables. Data provided in this article could be useful to any person interested in modelling anaerobic digestion and particularly co-digestion. Data could be also used for implementation of a database for anaerobic digestion modelling. Keywords: ADM1 model, Fractionation, Organic substrates, Nitrogen content

The data presented in this article regroup characterisation of organic matter and nutritional composition of 42 organic wastes and residues usually used as substrates for anaerobic digestion. Those wastes have different origins from agro-industrial, agricultural and urban sectors in France including: algae, slaughterhouse waste, fat, food waste, fruits and vegetables residues, green waste, slurry, manure, wastewater treatment plant sludge and agricultural residues. The properties of organic matter are distinguished between global parameters (pH, total solids, volatile solids, COD and BMP), organic matter fractionation (biochemical and Van Soest) and the main nutrients content (N, P, K, Mg, Ca and S).

Microalgal and cyanobacterial resource recovery systems could significantly advance nutrient recovery from wastewater by achieving effluent nitrogen (N) and phosphorus (P) levels below the current limit of technology. The successful implementation of phytoplankton, however, requires the formulation of process models that balance fidelity and simplicity to accurately simulate dynamic performance in response to environmental conditions. This work synthesizes the range of model structures that have been leveraged for algae and cyanobacteria modeling and core model features that are required to enable reliable process modeling in the context of water resource recovery facilities. Results from an extensive literature review of over 300 published phytoplankton models are presented, with particular attention to similarities with and differences from existing strategies to model chemotrophic wastewater treatment processes (e.g., via the Activated Sludge Models, ASMs). Building on published process models, the core requirements of a model structure for algal and cyanobacterial processes are presented, including detailed recommendations for the prediction of growth (under phototrophic, heterotrophic, and mixotrophic conditions), nutrient uptake, carbon uptake and storage, and respiration. Keywords: Growth, Nutrient uptake, Lipid storage, Starch storage, Wastewater treatment plant (WWTP)

Manure from animal production is commonly spread on agricultural soil as an organic fertiliser to provide macro and trace elements to crops. However, some trace elements can accumulate in the soil and become toxic to plants and microorganisms. These elements include copper (Cu) and zinc (Zn), which can be applied in large quantities when pig manure is spread. The feeding strategy and manure management (e.g. through treatment chains) are two mechanisms identified to better control the use of these elements, but their fate from the feed to the soil in pig production remains poorly documented. Better understanding the fate of Cu and Zn, as well as that of other trace and macro elements, along the feed – excreta – waste chain is required to develop alternative ways to reduce their environmental impacts. This dataset provides insight into the composition (Cu, Zn and other trace and macro elements) of organic products along two contrasting manure management chains: (1) only storage or (2) in-building separation, anaerobic digestion (AD) of solids, and digestate drying. Feed, raw slurry, liquid and solid phases after separation of the manure and AD products were sampled and then analysed to measure their total compound contents.