AndreaBozzo/ceres-open-data-index huggingface dataset:
Experimental dataset on alternative weeding practices (2019-2020) - CanecoH project

[Lien vers la fiche source] The CanecoH project (sugarcane without herbicides) is experimenting and testing alternative weed control practices on Reunion Island to reduce the use of phytopharmaceutical products. The project is based on the redesign of sugarcane systems, in consultation with growers. A "zero herbicide" system is also being tested and evaluated. The practices are implemented on so-called "analytical" trials, i‧e. on small areas with repetitions. This is an experimental dataset from a non irrigated trial on sugarcane (cycle 3) in association with service plants, set up in 2019 at a grower's site and harvested in 2020.
Experimental dataset on alternative weeding practices (2017-2018) - CanecoH project

[Lien vers la fiche source] The CanecoH project (sugarcane without herbicides) is experimenting and testing alternative weed control practices on Reunion Island to reduce the use of phytopharmaceutical products. The project is based on the redesign of sugarcane systems, in consultation with growers. A "zero herbicide" system is also being tested and evaluated. The practices are implemented on so-called "analytical" trials, i‧e. on small areas with repetitions. This is an experimental dataset from a non irrigated trial on sugarcane (cycle 1) in association with service plants, established in 2017 at a grower's site and harvested in 2018.
Experimental dataset on alternative weeding practices (2018-2019) - CanecoH project

[Lien vers la fiche source] The CanecoH project (sugarcane without herbicides) is experimenting and testing alternative weed control practices on Reunion Island to reduce the use of phytopharmaceutical products. The project is based on the redesign of sugarcane systems, in consultation with growers. A "zero herbicide" system is also being tested and evaluated. The practices are implemented on so-called "analytical" trials, i‧e. on small areas with repetitions. This is an experimental dataset from a non irrigated trial on sugarcane (cycle 2) in association with service plants, established in 2018 at a grower's site and harvested in 2019.
Experimental dataset on alternative weeding practices (2016-2017) - CanecoH project

[Lien vers la fiche source] The CanecoH project (sugarcane without herbicides) is experimenting and testing alternative weed control practices on Reunion Island to reduce the use of phytopharmaceutical products. The project is based on the redesign of sugarcane systems, in consultation with growers. A "zero herbicide" system is also being tested and evaluated. The practices are implemented on so-called "analytical" trials, i‧e. on small areas with repetitions. This is an experimental dataset from a non irrigated trial on sugarcane (plantation) in association with service plants, established in 2016 at a grower's site and harvested in 2017.
Sugarcane yield response to legume intercropped: data from experimental network and review

[Lien vers la fiche source] Intercropping with legumes has attracted much attention worldwide, regarded as a sustainable alternative to chemical N-fertilizer. Many studies have investigated the effects of introducing legumes into sugarcane systems. However, how agro-environmental conditions influence the effect of legumes on sugarcane yield is still unclear. These data were compiled to performed a meta-analysis which i) quantify the effect of legume intercropping on sugarcane yield, ii) assess how agro-environmental and management conditions influence the response of sugarcane yield to intercropping, and iii) assess the influence of legumes in interaction with weeds on sugarcane yield. We combined data from a systematic literature review and experimental data from a network of trials conducted in the tropical island of La Reunion.
Industrial, biochemical and histochemical properties of sorghum stems harvested from 5 trials in France

[Lien vers la fiche source] This dataset contains phenotypic information regarding the industrial properties (anaerobic digestion, combustion, animal digestibility), stem biochemical composition and internode anatomy of 57 genotypes that have been cultivated in 5 sites in France between 2012 and 2014. This dataset has been used to identify sorghum stem ideotypes for 3 different end-uses, namely feed quality, combustion and anaerobic digestion.
NIRS calibration database on fresh yam for texture at CIRAD, Guadeloupe

[Lien vers la fiche source] "This database contains 1017 NIR spectra of fresh slices of yam acquired in CIRAD (Guadeloupe), by using ASD Labspec5000 NIR spectrometer. Yam harvested at INRAE Godet Station (Guadeloupe) from one field with the various varieties and one year 2022 (harvests from February 7 to March 31) The database contains also laboratory data measured on the same yam samples: texture measurements were recorded after 15 minutes of cooking and 7 minutes of temperature stabilization (to assess 45 °C) by penetrometry test (hardness 5mm (N); hardness max (N); Distance à F max; Aire dist; gradient 5-hmax; gradient 0-5; hardness 10mm (N)); the Dry matter values (DM) correspond to dry matter content measured after freeze-drying of the yam pieces"
Descriptive sensory analysis data for boiled sweetpotato in Uganda

[Lien vers la fiche source] This file contains descriptive sensory data of sweetpotato that was collected using panel trained following a [standardized methodology]. The data was collected by CIP team in Uganda using RTBfoods [standard operating procedures] developed in work package 2 for the use by trained sensory panel. The cleaning of the data was conducted following guidelines as outlined in [RTBfoods manual].
Descriptive sensory analysis data for fried sweetpotato in Uganda

[Lien vers la fiche source] This file contains descriptive sensory data of fried sweetpotato that was collected using panel trained following a standardized methodology. The data was collected by CIP team in Uganda using a procedure explained in Sensory characteristics and consumer segmentation of fried sweetpotato for expanded markets in Africa. The cleaning of the data was conducted following guidelines as outlined in [RTBfoods manual].
Hyperspectral calibration database on fresh cassava to predict optimal cooking time (OCT) and water absorption at 30'

[Lien vers la fiche source] This database contains 109 NIR average spectra of HSI images of fresh cassava root acquired in CIAT (Colombia), by using hyper spectral camera Specim FX17. Cassava roots were harvested from 07/03/2022 to 11/03/2022 in CIAT (Colombia) and analysed immediately after harverst. Twelve roots were used and each root is divided into six semicylinders . The semicylinders number 03,43,103 and 114 are used for HSI, WAB30%, OCT, and texture. Data was acquired using MEGHAR, K., DAVRIEUX, F., & ALAMU, E. (2020). SOP for Hyperspectral Imaging Analysis of Fresh RTB Crops. High-Throughput Phenotyping Protocols (HTPP), WP3. Montpellier, France: RTBfoods Project Report, 12 p.
Participatory Processing Data on Boiled Sweetpotato generated by CIP in Uganda

[Lien vers la fiche source] This dataset contains data generated during the Activity 4 or Step 3 - Participatory Processing Diagnosis and Quality Characteristics performed by the CIP team in Uganda on Boiled Sweetpotato, within the RTBfoods project (following the [Methodological Guidance]). This dataset may contain diverse types of anonymized data (e‧g. questionnaires, processing parameters, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025) This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata.
Emissions de polluants atmosphériques tous secteurs d'activité confondus dans la région Corse en 2007, 2010 et 2017

Principaux polluants atmosphériques : SO2, NOx équivalent NO2, particules en suspension PM10, particules en suspension PM2.5, Benzène C6H6, Composés Organiques Volatils Non méthaniques COVNM, Ammoniac NH3, monoxyde de carbone CO, Arsenic As, Cadmium, Cd, Nickel Ni, Plomb Pb, Bap, GES. Toutes les données fournies sont en kg. Le nombre de décimales varie en fonction du polluant. Généalogie au sens Inspire : Les valeurs d'émissions de polluants atmosphériques ont été calculées conformément au guide méthodologique pour l'élaboration des inventaires territoriaux des émissions atmosphériques réalisé par le Pôle Coordination national sur les inventaires d'émissions Territoriaux (PCIT) et au référentiel français OMINEA élaboré par le CITEPA. La classification des secteurs d'activité est la classification SECTEN (sectorisation économique et énergétique) niveau 1.
NIRS Calibration Database on raw intact Sweetpotato for Sensory Descriptors, Texture, DM, OCT & Water absorption at CIP Uganda

[Lien vers la fiche source] The spectra were collected from 3 intact roots.To scan intact roots, each root was cut cross-sectionally across the mid-section, and immediately scanned with the cut surface facing the lens, producing three spectra per genotype. Sensory data was collected by 12 trained panellists, who consumed small cubes of each cooked sweetpotato genotype and rated the overall liking of the samples on a 10-point hedonic scale ranging from 1 (dislike extremely) to 10 (like extremely), for each sensory trait per genotypes.
NIRS Calibration Database on cooked mashed sweetpotato for Sensory Descriptors, Texture, DM, OCT & Water absorption at CIP Uganda

[Lien vers la fiche source] The spectra were collected from 3 cooked mashed roots.To scan cooked roots, 3 raw roots were cut cross-sectionally across the mid-section, and immediately cooked until ready. After cooking, each root was mashed on a plate, and the mashed potato was scanned in a cuvette, producing three spectra per genotype. Sensory data was collected by 12 trained panellists, who consumed small cubes of each cooked sweetpotato genotype and rated the overall liking of the samples on a 10-point hedonic scale ranging from 1 (dislike extremely) to 10 (like extremely), for each sensory trait per genotypes.
NIRS Calibration Database on cooked freeze dried ground sweetpotato for Sensory Descriptors, Texture & DM at CIP Uganda

[Lien vers la fiche source] The spectra were collected from 3 cooked, freeze dried and milled roots per genotype.To prepare the freeze dried milled samples, 3 raw roots were cut cross-sectionally across the mid-section, and immediately cooked until ready. After cooking, each root was mashed on a plate and scanned in a cuvette. After scanning, the samples were frozen at -20 0C, freeze dried and milled. The milled sample was then scanned in a cuvette producing three spectra per genotype. Sensory data was collected by 12 trained panellists, who consumed small cubes of each cooked sweetpotato genotype and rated the overall liking of the samples on a 10-point hedonic scale ranging from 1 (dislike extremely) to 10 (like extremely), for each sensory trait per genotypes.
Gendered Food Mapping Data on Boiled Sweetpotato generated by CIP in Uganda

[Lien vers la fiche source] This dataset contains data generated during the Activity 3 or Step 2 - Gendered food mapping, performed by the CIP team in Uganda on Boiled Sweetpotato, within the RTBfoods project (following the [methodological Guidance]). This dataset may contain diverse types of anonymized data (e‧g. questionnaires, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025) This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata.
Molecular epidemiology of Ralstonia pseudosolanacearum Phylotype I strains in the South West Indian Ocean region and their relatedness to African strains

[Lien vers la fiche source] Increasing requirements for developing tools allowing fine traceability of strains responsible for epidemics is tightly linked with the need to understand factors shaping pathogen populations and their interactions with their environment. Bacterial wilt (BW) caused by the Ralstonia solanacearum species complex (RSSC) causes one of the most important plant diseases in tropical and sub-tropical regions. Sadly few, outdated or no information on its epidemiology is reported in the literature, although alarming outbreaks are regularly reported as a disaster both in terms of economical and sociological impact. A large set of isolate (n = 2,608) belonging to the Ralstonia solanacearum species complex Phylotype I strains was retrieved from diseased plants on the field across the South West Indian Ocean and Africa. This collection helped further assessing the epidemiological discriminating power of the RS1-MLVA14 scheme previously published. A total of 13 markers were validated and characterized as not equally informative, with little infra-sequevar polymorphism for most of them and performance-specific depending on the Phylotype I lineage considered. We strongly believed that the full characterization of the RS1-MLVA13 scheme will help for understanding the epidemiology of Phylotype I strains and that more research is needed in order to understand why the Phylotype I-31 is such a successful ecotype at such a large geographic scale.
Raw data for Nibouche et al. (2021) 'Morphometric and molecular discrimination of the sugarcane aphid, Melanaphis sacchari (Zehntner, 1897), and the sorghum aphid Melanaphis sorghi (Theobald, 1904)'

[Lien vers la fiche source] Melanaphis sacchari (Zehntner) and Melanaphis sorghi (Theobald) are major worldwide crop pests causing direct feeding damage on sorghum and transmitting viruses to sugarcane. It is common in the scientific literature to consider these two species as synonyms, referred to as ‘Sugarcane Aphid’, although no formal study has validated this synonymy. In this study, based on the comparison of samples collected from the whole distribution area, we use both morphometric and molecular data to better characterize the delineation between M. sacchari and M. sorghi. Unsupervised multivariate analysis of morphometric data clearly confirmed the separation of both species. The most discriminating characters separating both species were based on the length of the antenna processus terminalis relative to the length of hind tibia, siphuncula or cauda. However, none of these criteria alone allow an unambiguous identification. Bayesian clustering based on microsatellite data delimited two clusters, which corresponded to the species separation. The DNA sequencing of three nuclear and three mitochondrial regions revealed a very little divergence between both species. In particular, the COI barcoding region proved to be of limited usefulness for species separation. One SNP located on the nuclear EF1-α gene was diagnostic for species separation. Based on morphological and molecular evidence, the sorghum damaging invasive genotype recently introduced in the USA, Mexico and Caribbean since 2013 is found to be M. sorghi.
Raw data for Andriamihaja et al (in review). Integrative taxonomy and phylogeny of leafless Vanilla orchids from the South West Indian ocean region reveal two new Malagasy species

[Lien vers la fiche source] Genotyping data from 7 microsatellite loci of 49 samples of leafless Vanilla species used in the paper "Integrative taxonomy and phylogeny of leafless Vanilla orchids from the South West Indian ocean region reveal two new Malagasy species" (in review).
Raw data for Andriamihaja et al. 2021. Drivers of population divergence and species differentiation in a recent group of indigenous orchids (Vanilla spp.) in Madagascar

[Lien vers la fiche source] Raw data from the genotyping of 7 microsatellite loci from 611 samples of leafless Vanilla species and from morphological measurement from 198 samples of leafless Vanilla flowers used in Andriamihaja et al., 2021, Drivers of population divergence and species differentiation in a recent group of indigenous orchids (Vanilla spp.) in Madagascar
Transcriptomics of the Coffea arabica tree exposed to two photoperiods during a circadian cycle

[Lien vers la fiche source] We exposed Coffea arabica trees to it’s natural intertropical optimal photoperiod of 12h/12h (day/night) or to a short day photoperiod of 8h/16h. After 12 weeks of exposition, Sampling was performed every 3 hours, starting from Zeitgeber time (ZT) 0 and ZT24. Three replicates were collected for each time point / photoperiod, one replicate corresponding to the leaves of the terminal young pair of one tree. Samples have been sequenced using RNAseq technology. The dataset correspond to RPKM data of this experiment.
Rôle et impact du girofle sur la formation du revenu des exploitations agricoles de  Sainte Marie, Madagascar  Modélisation par le logiciel olympe d’une exploitation par type et par village 2013

[Lien vers la fiche source] Les principaux objectifs de cette étude sont les suivants ; comprendre et répondre aux questions suivantes : Quelle est la contribution de la filière girofle à la formation des revenus des exploitations de l’île Sainte Marie ? Quelle est la contribution du girofle dans la résilience des exploitations ? Nous allons nous intéresser à l’impact du girofle et de cette diversification sur le fonctionnement et la formation des revenus des exploitations agricoles locales. Notre hypothèse principale est que le girofle contribue significativement à la résilience globale des exploitations alors que la ressource est vieillissante pas ou peu renouvelée dans un contexte d’aléas climatiques importants de type cyclonique. Les exploitations représentatives de la typologie faite en 2012 par S. Levasseur et al. seront modélisées et on appréciera la place des deux filières du girofle (clous et essence) au sein des exploitations de Sainte Marie. On mesurera la vulnérabilité et la résilience des systèmes
Jeu de données sur des systèmes agroforestiers à palmier à huile capitalisés en 2020 dans le monde.

[Lien vers la fiche source] Ce jeu de données décrit 39 systèmes agroforestiers à base de palmier à huile identifiés dans le monde en 2020 par traque aux innovations. Une typologie de systèmes agroforestiers est présentée dans un article lié à ce jeu de données. Le jeu de données du fichier Excel présente : - en onglet 1 : les métadonnées - en onglet 2 : les descripteurs des systèmes agroforestiers capitalisés en 2020 - en onglet 3 : les services écosystémiques rendus et les espèces qui les fournissent Le fichier PDF présente un tableau listant les services écosystémiques identifiés lors de la description des 39 systèmes agroforestiers à base de palmier à huile.
Database of wood properties from specimens of the French Guiana wood collection

[Lien vers la fiche source] The wood collection (Xylotheque or Xylarium) of Kourou (French Guiana) was created in 1976 by Jean Thiel and has since been augmented by many contributors. It is a child collection of the Xylotheque of Montpellier. A Xylarium, like the one in Kourou, is a unique collection of wood assembled over many years that represents high interspecific diversity. In addition to the standard use of such collections for systematic anatomy, a technological database can be created using duplicates of reference plates. We performed physical, mechanical and durability tests on wood planks measuring 10x60x100L mm3 from 445 woody species in French Guiana belonging to 63 families. Wood densities ranged from 250 to 1300 kg/m3, with an average of 0.786 kg/dm3. The other properties also covered a wide range of values, as did the longitudinal modulus of elasticity, since we tested samples from lianas and palm stipes as well as from very stiff woods. More information about the file “Xylarium Kourou” Data fields The file provides information for 446 specimens of the Cirad Kourou’s wood collection: Kourou Xylarium Identifier : historical index Scientific Name Genera Species Family * indicates an introduced species (not local species) L*: clarity, black = 0 and white = 100 a*: red (positive) and green (negative) components b*: yellow (positive) and blue (negative) components Hue angle: H* = atan (b*/a*) C*: Chroma = square (a*² + b*²) BD: basic density (kg/m3) D12: dry density (kg/m3) CF: conversion factor for basic density from air dry density: CF=BD/ D12 VS: volumetric shrinkage (%) SM: specific modulus (Mm²/s²) E: longitudinal modulus of elasticity (Gpa) Tand: damping coefficient (%) DSd: relative deviation from standard damping: DSδ= (tanδ-tanδs)/ tanδ ML: mass loss (%) after a 6-month bed test (fugus resistance)
Experimental dataset on alternative weeding practices (2015-2016) - CanecoH project

[Lien vers la fiche source] The CanécoH project (sugarcane without herbicides) is experimenting and testing alternative weed control practices on Reunion Island to reduce the use of phytopharmaceutical products. The project is based on the redesign of sugarcane systems, in consultation with growers. A "zero herbicide" system is also being tested and evaluated. The practices are implemented on so-called "analytical" trials, i‧e. on small areas with repetitions. This is an experimental dataset from a non irrigated trial on sugarcane (cycle 4) in association with service plants, established in 2015 at a grower's site and harvested in 2016.
Experimental dataset on the use of service plants to manage sugarcane weed infestation in Réunion Island (2013-2014) - ECOCANNE project

[Lien vers la fiche source] The ECOCANNE project concerns the development of technical itineraries for the establishment of cover crops providing partial control of weed infestation and a repulsive effect against the borer in sugarcane plots in Réunion. The results of the project contribute to the reduction of herbicide consumption in sugarcane cultivation and to the improvement of the technical and economic performance of the crop. This is an experimental dataset from an irrigated trial on sugarcane in association with service plants, established in 2013 at a grower's site and harvested in 2014.
Concentrations moyennes annuelles des principaux polluants en Corse

Principaux polluants réglementés dans l'air : dioxyde de soufre SO2, monoxyde d'azote NO et dioxyde d'azote NO2, particules en suspension PM10, particules en suspension PM2.5, ozone O3, benzène C6H6, monoxyde de carbone CO. Toutes les données fournies sont en µg/m3 (microgramme par mètre cube) sauf CO (mg/m3). Généalogie au sens Inspire : Mesures de terrain automatiques. Les concentrations moyennes ont été calculées conformément au guide méthodologique pour le calcul des statistiques relative à la qualité de l'air (LCSQA 2016) à partir des données mesurées selon les méthodes de référence européennes ou équivalentes (Directives 2008/50/UE et 2004/107/UE).
Wifi Device Counts

This dataset describes counts made of wifi devices by [nCounters] distributed in Ballarat. An archive of older data in this dataset can be found at [https://data.gov.au/data/dataset/wifi-device-counts] The information was collected in real time by the counters. The intended use of the information is to inform the public of longitudinal counts of wifi devices in Ballarat. The dataset counts are typically updated every 15 minutes.