@article{fdi:010085879,
  title = {{O}rganic resources from {M}adagascar : dataset of chemical and near-infrared spectroscopy measurements [{D}ata paper]},
  author = {{R}arivoson, {N}. {R}. and {R}azafimbelo, {T}. and {M}asse, {D}ominique and {R}amahefarison, {H}. and {T}huries, {L}.},
  editor = {},
  language = {{ENG}},
  abstract = {{O}rganic wastes originating from livestock, agro-industry or urban activities may represent true resources when recycled for new uses, for example, as soil improvers, organic fertilizers or bioenergy sources. {T}he compositional characteristics of these organic resources ({OR}s) can vary considerably depending on origin, nature, processing, stage, and state. {D}espite being of potential interest to different stakeholders in a circular economy, the variability in {OR} characteristics and the difficulty of accessing reliable, fast and inexpensive analysis methods may curb the recycling of {OR} in the agriculture or bioenergy sectors. {A}s is the case in other low-income countries, scarcity of data on {OR} characteristics and the difficulty in assessing these data (due to cost and the sparsity of laboratories) is particularly acute in {M}adagascar, thus impairing the rational utilization of {OR} in the agricultural or bioenergy sectors. {V}isible-near infrared spectroscopy ({VIS}-{NIR}) has proven to be suitable for the fast, reliable and low-cost determination of the composition of different {OR}s, usually through the development of calibration models based on one type of {OR} by single research or lab groups. {I}t is challenging to develop {VIS}-{NIR} models based on several types of {OR}s encompassing a wide range of target characteristics. {A}nother challenging issue is the extension of databases containing spectra acquired on different spectrometers to increase model genericity. {I}n both cases, standardization can be performed to resolve the problem of developing models for diverse {OR}s whose spectra originate from different laboratories. {T}o assess the ability to develop {VIS}-{NIR} models with as much genericity as possible, we built a large database containing a wide diversity of {OR}s produced in {M}adagascar. {T}he data presented in this paper were obtained by chemical and spectral analyses of 1,0 0 0 {OR}s collected from five districts in {M}adagascar. {T}he data are accompanied by fine-grained metadata defined by 32 descriptors of {OR}s, including origin (animal, agroindustrial, and urban); nature (manure, agro-industrial waste, and compost); farm type (smallholder and agricultural factory); exploitation type (smallholder farm, factory farm, on farm compost facility, and town compost facility); diversity of animal feed, litter, sex, and age; and diversity of bedding material. {T}he chemical properties (including the organic nitrogen, organic carbon, organic matter, inorganic matter, phosphorus, potassium, calcium, magnesium, zinc, copper, nickel, chromium, cadmium, and lead and soluble, hemicellulose, cellulose, lignin and cutin fractions) were analyzed following laboratory standards. {T}he number of analyses performed ranged from 39 to 180 depending on the chemical property. {VIS}-{NIR} spectra were acquired using a {L}abspec spectrometer. {T}o facilitate the merging of spectral data or the development of {VIS}-{NIR} models based on broad datasets, the spectra were presented in raw form and after standardization. {T}he dataset is original in terms of sources and width. {T}his dataset should be of particular interest to chemometricians, biogeochemists, agronomists, energy planners, hygienists and other professionals involved in recycling {OR}s for various new purposes in low-income countries and elsewhere.},
  keywords = {{A}gro-industrial waste ; {L}ivestock manure ; {U}rban waste ; {MSW} compost ; {VIS}-{NIR} spectroscopy ; {M}adagascar ; {MADAGASCAR}},
  booktitle = {},
  journal = {{D}ata in {B}rief},
  volume = {43},
  numero = {},
  pages = {108350 [12 p.]},
  ISSN = {2352-3409},
  year = {2022},
  DOI = {10.1016/j.dib.2022.108350},
  URL = {https://www.documentation.ird.fr/hor/fdi:010085879},
}