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Chloroplast assemblies, nuclear SNP genotyping and k-mer count database of a diversity panel of 390 Saccharum accessions and related genera
No full textData include:
(i) description table (TAB) listing accessions and their associated data
(ii) chloroplast genome assemblies (FASTA) of 384 accessions
(iii) variant call format (VCF) for 390 accessions genotyped for 18,074,258 bi-allelic single nucleotide polymorphisms
(iv) k-mer count database including 27,015,331 repeated k-mers from 390 accessions
The chloroplast genome assemblies, variant call format and k-mer count database were obtained from whole genome sequencing data, using the procedures described in the related publication
Total and rural 2G to 4G mobile coverage data, as a proxy of the digitalisation of agriculture at country and world scales (2015-2022)
No full textFor many countries of the world, as well as for continents, regions grouped by income, geography and other factors, the data set contains series of rural, urban, total coverage by mobile networks, as well as rural, urban, and total population.
The data set also contains the sources of data, and the detailed results of various equations fitted to the data, as per the linked paper. These equations describe an inequality relationship between total and rural coverage by mobile networks. They predict the rural coverage as a function of the total coverage by mobile networks
Guyafor network, permanent forest plots for long-term monitoring of French Guiana's forest ecosystems
No full textGuyafor is a network of permanent forestry plots installed in French Guiana, dedicated to the long-term study of forest dynamics and biodiversity. The main objectivs of this network, co-managed by research organizations (CIRAD and CNRS) and by the manager of French Guiana’s forests (ONF), are :
The structural and floristic organization along environmental gradients
The long-term forest dynamics of natural and exploited forests by focusing on the roles of demographic processes (regeneration, growth and mortality), the carbon cycle of the living above-ground biomass and the effects of climate change
Reference Database for Land Use Classification in Murewa District, Zimbabwe (2023)
No full textThe reference database comprises a total of 4,378 vectorized polygons, collected in the district of Murewa, Zimbabwe, for the year 2023. These polygons were created for training a supervised classification algorithm for satellite image analysis for the production of land use maps.
The database contains ground truth data collected in February 2023 through GPS surveys, conducted during the middle of the growing season. Polygon boundaries were meticulously delineated based on photo-interpretation of Pléiades images, acquired in February 2023, with a 50 cm spatial resolution. The database is projected in CRS: EPSG:32736 / UMT zone 36s and stored in GeoJSON format
A forecasting model for desert locust presence in West and North Africa
No full textThe set of scripts provided in this dataverse contains most of the steps and data necessary to create and reproduce the models, as well as the software developped to produce automatic forecasting maps. Regarging model training, evaluation and selection, the scripts are written in R and are numbered from 01 to 07 (in LocustForecastCLCPRO4/RCodes). The software part depicting the automatic chain of : real-time downloading satellite image (steps 00 all in SatData-main), real-time prediction of locust distribution based on selected model (step 08 in PyhtonCodes), updating the forcasting map in a web interface (step 09 in mppcpro-main), correspond mostly to pyhton scripts.
The folder SatData-main contains the pythons files for automated downloading satellite image from MODIS, VIIRS and Copernicus. The LocustForecastCLCPRO4/Rcodes folder contains all the scripts to build the database and models. All files inside the PythonCodes are meant for real-time model predictions. The mppcpro-main folder holds the R and Python scripts used for web interface
A global database on land use and management change effects on soil KMnO4-oxidisable organic carbon (POXC)
No full textSoil carbon transformation is vital for ecosystem functions like food production and climate regulation. While soil organic carbon is a key soil health indicator, its sensitivity to management changes is debated. Alternative indicators, such as permanganate-oxidisable carbon (POXC), are being explored. This database compiles 10,068 comparisons of soil POXC content from 284 peer-reviewed studies published up to 2023, covering 45 countries and 63 land use types, including arable land, grassland, agroforestry, and forests. Most studies focused on arable land (n = 7,809), examining input changes (n > 500) and tillage intensity (n > 200). The most studied land-use changes were grassland conversion to arable land (n = 324) and vice versa (n = 261). The dataset includes rich metadata on geographical context, soil types, key properties (pH, clay content), POXC protocols, and data quality scores. This resource supports scientific and policy discussions on POXC’s potential as a practical indicator for improving land use and soil health management
NIRS Calibration for retting ability of soaked cassava roots at NRCRI, Umudike, Nigeria
No full textThe retting roots of soaked cassava roots were evaluated for potential good calibration and prediction equation models using handheld NIRS equipment. Seventy (70) cassava genotypes from Umudike and Otobi locations from Crossing block and Advanced Yield Trials (AYT) of NextGen were assessed for retting ability. Near-infrared spectra models were developed in “Win ISI 4 Project Manager”, by using the modified partial least squares (MPLS) regression and cross-validation techniques. Calibrations were done and the coefficient of determination in calibration for retting ability (R²cal) was 0.84 with SECV of 2.4 and SEC of 2.19. Also, the performances of the prediction models were tested using an independent set of 20 independent retting cassava root samples. A good prediction coefficient (R2 pred) and low standard error of prediction (SEP) was obtained 0.86 and 1.16 respectively
NIRS Calibration for Starch yield and DMC on fresh whole root at NaCRRI, Uganda.
No full textThis activity entails lab data acquired on whole fresh cassava for building NIR predictions for starch yield, dry matter content and spectra. Spectra were collected using Scio NIRS on whole roots
Dataset for thresholds determination for Matooke key quality traits for acceptability using Consumer Testing (JAR), Instrumental, and QDA, measurements at NARL: Kampala, Uganda.
No full textData was collected from ten contrasting cooking banana (Matooke) varieties, both landraces and hybrids representing good, medium, and poor varieties based on their characteristics. The varieties were harvested at full maturity based on the fullness of the fingers. A conventional steaming method was used to prepare the matooke wrapped in separate bundles and served to consumers for evaluation. Hedonic/ overall and JAR tests were used during the evaluations. QDA and Instrumental measurements were also conducted which were then compared to determine thresholds for color and Texture following the procedures from https://doi.org/10.18167/agritrop/00778</a
Soil analysis data from Laboratoire d'Analyses Agronomiques of Réunion Island CIRAD
No full textThis dataset compiles the results of soil analyses carried out between 2008 and 2024 at the CIRAD Agronomic Analysis Laboratory of Réunion Island. For anonymisation purposes, the location of each sample was blurred by randomly moving it within a radius of 1 km of its real position