CIRAD Dataverse
Not a member yet
921 research outputs found
Sort by
An illustrated case study of the CoProdScope tool with the data of a fictitious farm of Burkina Faso. Dataset deposit in Dataverse
No full textCoProdScope (CPS) : outil de bilan-conseil en gestion des co-produits végétaux et animaux pour accompagner les exploitations agro-pastorales dans la transition agroécologique. Ce dataset comprend la version 2.0 de l'outil CPS développée sous Excel, avec les data d'une exploitation fictive
ArthroEcoFoG Data Dictionary
No full textThis data dictionary gives the meaning of each variable of the datasets presented in this dataverse
Invasion degree and priority areas for clearing for Reunion Island (2024)
No full textIsland-wide invasion degree and priority areas for clearing invasive plant species on Reunion Island. Data from paper Rouget et al. (2024) From planning to implementation: a multi-stakeholder partnership for managing plant invasions in tropical island ecosystems. Biological Invasions. https://doi.org/10.1007/s10530-024-03454-8</a
Experimental filtration/compression dewatering kinetics of different cassava flours
No full textMechanical dewatering is a critical step in several food processing pathways, including in cassava flour processing. Compression dewatering kinetics are useful to design a dewatering operation. Such kinetics were measured in a filtration-consolidation cell, between 4 and 21 bar. They were measured on cassava from 3 origins, fragmented at 2 particle size distribution (PSD). The kinetics dataset comprises the filtrate mass, the cake length, the air pressure, the plug strength through the time ; the data of the moisture content measurement of the fresh and dewatered and of the filtrate. A python script is included to plot the dewatering kinetics from the dataset. Datasets can be used to help design dewatering equipment for cassava, possibly through a modeling approach. Combined with similar datasets measured on cassava of other qualities (PSD, variety, etc), or other products (e.g. yam), it could allow to determine a global model describing products compression dewatering
Data on agroecology and viability of agro-sylvo-pastoral farms in Western Burkina Faso
No full textData used for the paper entilteld Cross-examination of agroecology and viability in agro-sylvo-pastoral systems in Western Burkina Faso. Two files. File 1 : data on 98 farms and 15 agricultural practices. File 2 : data of focus group on viability factors of four farm type
"Grand Plateau" permanent plots eighth census, 2022, Nouragues forest
No full textForest censuses from the Nouragues research station, CNRS, French Guiana, in the Guyafor network. This dataset gathered trees location, botanical identification and size measurement from the 2022 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities
Caractérisation fonctionnelle d'adventices en canne à sucre - 2023
No full textJeu de données caractérisant les espèces adventices rencontrées en canne à sucre sur l'essai nuisibilité différenciée comparant différents couverts d'adventices (lianes, dicotylédones, vivaces, fataques). Des traits fonctionnels aériens (SLA, LMC, LNC, SNC, LCC, SCC...) et racinaires ont été décrits
sRNA dataset of PKWxPKW banana plant (GWT-15)
No full textDeep sequencing of sRNA from PKW self-pollinated plant
GWT-15 is heterozygous for the endogenous Banana streak Obino l'Ewai virus with the infective (eBSOLV-1) and the non-infective (eBSOLV-2) alleles, homozygous for the non-infective allele of endogenous Banana streak Goldfinger virus (eBSGFV-9) and homozygous for the endogenous Banana streak Imové virus (eBSIMV)
sRNA dataset of AAB PKWx IDNT110 hybrid plant infected by BSGFV (GWT-2)
No full textDeep sequencing of sRNA from PKWx IDNT110 AAB hybrid plant infected by BSGF
Weather Station Data from Northern Cameroon (June 2023 - June 2024)
No full textAbstract
This dataset contains raw and processed weather measurements from three stations located in Bamé, Djiddé, and Pintchoumba in Northern Cameroon. The data spans from June 2023 to June 2024 and includes raw measurements, quality-checked data, and data aggregated at 5-minute and daily intervals. These stations were the first three installed as part of the DeSIRA INNOVACC Project.
Weather Stations
Type: METER Group ATMOS41
Datalogger: METER Group ZL6
Quality Check Network: Trans-African Hydro-Meteorological Observatory (TAHMO)
Installation: each station is installed at the top of a 2m mast, enclosed in a fenced area, and positioned in a location free from potential turbulence to ensure measurement accuracy.
Identifiers and Coordinates
Bamé:
ID: z6-22047 / TA00804
Coordinates: 9.08626, 13.5786388
Elevation: 233m
Djiddé:
ID: z6-22888 / TA00805
Coordinates: 9.3578753, 13.6525851
Elevation: 207m
Pintchoumba:
ID: z6-22048 / TA00803
Coordinates: 8.4886398, 13.453611
Elevation: 359m
Data Organization
Each location archive contains three folders:
Raw and Corrected Records: Folder named with the z6-xxxxx identifier, containing raw data and records corrected by the connectivity network ZentraCloud. May include multiple configuration files for different periods.
5-minute Aggregated Records: Folder named with the TAHMO code ending in "5min", containing quality-checked data at 5-minute intervals.
Daily Aggregated Records: Folder named with the TAHMO code ending in "daily", containing quality-checked data aggregated daily.
Variables
All variables measured by ATMOS41 stations :
atmospheric pressure (kPa),
precipitation (mm),
radiation (W/m2),
relative humidity (-),
temperature (degrees Celsius),
wind direction (degrees),
wind gusts (m/s),
wind speed (m/s),
lightning distance (km),
lightning events (-),
Metadata :
humidity sensor temperature (degrees Celsius),
logger battery percentage (-),
logger reference pressure (kPa),
logger temperature (degrees Celsius),
tilt x axis (degrees),
tilt y axis (degrees)
</ul