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Data for the publication entitled: Competition and site weakly explain tree growth variability in undisturbed Central African moist forests
No full textThis is a dataset repository for the manuscript:
Gourlet-Fleury, S., Rossi, V., Forni, E., Fayolle, A., Ligot, G., Allah-Barem, F., Baya, F., Bénédet, F., Boyemba, F., Cornu, G., Doucet, J.-L., Gillet, J.-F., Mazengue, M., Mbasi Mbula, M., Van Hoef, Y., Zombo, I., & Freycon, V. (2023). Competition and site weakly explain tree growth variability in undisturbed Central African moist forests. Journal of Ecology, 111, 1950–1967. https://doi.org/10.1111/1365-2745.14152
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HSI Database on fresh yam slices for dry matter at CIRAD, France (year 2)
No full textYam tubers were purshased in maket at Montpellier. They are from three origins : Ghana, France and Brasil. One tuber of each origin is used for HSI measurement at 0, 15, 30, 45, 60, 75 days of storage. In this database, we have mean spectra of hyperspectral images acquired on slices of fresh yam. These slices were divided from proximal, central and distal zone of each tuber. We have also dry matter (DM) value of each slices
NIRS Database on fresh blended cassava for Dry Matter, Water absorption, Texture & cooking Time at CIAT, Colombia
No full textThis database contains 250 NIR spectra of cassava puree acquired in CIAT (Colombia), by using FOSS DS2500 NIR spectrometer. Cassava harvested at CIAT (Colombia) from various fields and years:
- 2019-2020: 2 fields ""parentales/progenitors"" and ""sensorial"" in November 2019-February 2020. Five harvests (trials): 19-63, 19-64 & 20-02 are from the field parentales in 11/2019, 12/2019 and 01/2020 (9, 10, 11 months after planting), respectively; and 20-03 & 20-11 from field sensorial in 01/2020 and 02/2020 (10 and 11 months after planting)
- 2021: 1 field ""progenitors"" in January-March 2021. 3 harvests (trials): 21-01, 21-04 (complement 21-05) & 21-09 in January, February and March (9, 10, 11 months after planting).
NB: NIRS spectra of the second harvest (at 10 months) are from 21-05 trial. This database contains also laboratory data measured on the same cassava roots samples, such as DM, water absorption at 10 minutes of cooking (WA10), water absorption at 20 minutes of cooking (WA20), water absorption at 30 minutes of cooking (WA30), water absorption at optimum cooking time, optimum cooking time (OCT), DM at 30' boiling, gradient, max force, distance at max force, area, linear distance, end force : max force and end force
Hunting offtake dataset of the project "Sustainable Wildlife Management" in Gabon (Mulundu Department).
No full textThis anonymized dataset describes the implementation of 12,951 hunting sessions undertaken by 325 hunters from 10 village communities located in Mulundu Department (Ogooué-Lolo Province, East Gabon).
This dataset was collected as part of the EU Sustainable Wildlife Management Programme in Gabon from March 2019 to September 2022 (42 months).
This dataset includes data on the
period, duration and description of each hunting session.
content of the hunting bag for each session (18,018 catches).
species, sex and age class of the catches (59 species).
use, price and destination of the hunting products.
List of variables in the dataset:
For each hunting session :
Hunting session ID
Locality (10 modalities - anonymous)
Hunter ID (325 modalities - anonymous)
Motivation (subsitence, trade, ceremony, order, other)
Hunting mode (gun, snare, dog, pick-up, other)
Mode of travel (foot, car, boat, other)
Campsite use (Y/N)
Number of carriers accompanying the hunter
Number of cartridges taken
Number of cartridges used
Hunting start date & time
Hunting return date & time
GPS ID (around 30% of the hunting sessions were GPS-tracked at 30 seconds fix-interval and ar. 5000 catches geolocated / in process / unpublished data)
Offtake (Y/N)
Offtake (number of animals catched during the hunting session)
For each catch:
Species french name
Species latin name
Catch ID
Date and time of the catch
Hunting mode (gun, snare, dog, pick-up, other)
Meat quality (fresh, smoked, rotten)
Sex of the catch
Age of the catch (adult, juvenile)
Packing (whole, pieces)
For each piece:
Piece ID
Piece type
Weight
Meat use (eaten, given, sold, other)
Price (XFA)
Destination (location)
This set-up is ongoing at the time of publication of this article and updates will follow.<br
NIRS Database for Textural Properties of Gari-Eba at IITA, Nigeria
No full text30 fresh cassava genotypes were processed to gari at a laboratory scale. The gari samples were also processed to eba (a thick dough) and spectra data of each sample was collected six times( ie 30x6= 180). Texture Profile Analysis (TPA) was carried out on the samples. Spectra data of each sample were averaged and used for calibration and validation
"Grand Plateau" permanent plots third census, 2004-06, 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 2004-06 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. Guyafor Data Dictionary</a
NIRS calibration database on fresh cassava puree to predict cooking time
No full textThis database contains 542 NIR spectra of cassava puree acquired in CIAT (Colombia), by using FOSS DS2500 NIR spectrometer. Cassava harvested at CIAT (Colombia) from various fields and years: 2022: 1 field "progeny" in January and February 2022. 2 harvests (trials)
Field 202108CQQU2_ciat (M RTB): 22-02 and 22-05 on 12 Jan. and 8 Feb. 2022, repectively (10 and 11 MAP)
This database contains also laboratory data measured on the same cassava roots samples: water absorption at 20 minutes of cooking (WA20) and water absorption at 30 minutes of cooking (WA30) the Dry matter values (DM) correspond to predicted values using a specific claibration developped by CIAT.
Spectra included in this database have been acquired using: BELALCAZAR, J., TRAN, T., MEGHAR, K., & DAVRIEUX, F. (2021). NIRS Measurement on Fresh Ground Cassava. High-Throughput Phenotyping Protocols (HTPP), WP3. Cali, Colombia: RTBfoods Laboratory Standard Operating Procedure, 9 p
DigiEye image reference base on raw intact sweetpotato in Uganda
No full textThe images were collected from 3 raw intact roots. To take the images, 3 raw roots were peeled, washed and cut cross-sectionally across the mid-section. For each half of the root, 2 images were taken; (i) cross-sectionally and (ii) at the surface, under the peel. 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 Database on raw intact sweetpotato at CIP, Uganda
No full textThe sweetpotatoe root samples used in this dataset were harvested in two different locations in Uganda in November 2019 (60 genotypes). Up to four sweetpotatoe roots per genotype were cut longitudinal. One spectra was taken in the center of each cut fresh root. Spectra of up to four roots per genotype were averaged to one spectra. Spectra databases are presented in two seperated sheets
Participatory Processing Data on Boiled Potato generated by CIP in Uganda
No full textThis 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 Potato, within the RTBfoods project (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