PAUWES Data Portal
PAUWES Data Portal (Pan African University, Institute for Water and Energy Sciences)
Pan African University, Institute for Water and Energy Sciences
Continents, countries, sea regions of the world.
Socio-economic Survey for Smallholder Farmers of Lake Cyohoha North Catchment, Rwanda, 2019
The data was collected in the catchment of Lake Cyohoha North to analyze socio-economic impact that the change in Land use/cover and lake degradation have had on smallholder farmers living within this catchment.
Data is licensed under Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) https://creativecommons.org/licenses/by-nc-sa/4.0/ Citation: Mudahemuka, P. (2019):Socio-economic Survey for Smallholder Farmers of Lake Cyohoha North Catchment, Rwanda, 2019. https://dataportal.pauwes.dz/#/metadata/c5929deb-3e66-4e8a-89ff-36ca745e0298
Number of damaged seeds of conventional cotton after different pollination treatments in 2015 in SW Burkina Faso
The number of damaged (= non intact, not fully developed or aborted seeds, that are not viable) was significantly increased after spontaneous self-pollination than after cross pollination. This is a clear sign of inbreeding depression in the lack of pollinators and economically relevant, since the seeds are used for the next year sowing season. In a nutshell: self-pollination decreases seed quality of cotton.
This work is licensed under Creative Commons: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) https://creativecommons.org/licenses/by-sa/4.0/ Citation: Stein, K. (2018): Number of damaged seeds of conventional cotton after different pollination treatments in 2015 in SW Burkina Faso https://wascal-dataportal.org/geonetwork/?uuid=41ece132-8f72-4cb4-8682-27dc22960bc2
50 plants of conventional upland cotton were randomly chosen. Each plant was subject to 5 pollination treatments following Dafni (1992). Each treatment was applied to two flowers per plant, resulting in 100 flowers per treatment. Fruit set was counted after fruits had developed and were mature. In the following, intact and non-intact seeds per fruit were counted.
Density of identified off-grid households by 2023
Density of identified off-grid households in ROGEP countries by 2023, per country administrative boundary level 1. The households could have access to electricity through off-grid solutions by 2023 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).
The dataset is under Creative Commons Attribution-ShareAlike 4.0 International License. You are free to: Share — copy and redistribute the material in any medium or format; Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use; ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original; No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Stakeholder Survey for the Usage of Land Use Products, Bolgatanga and Bongo District, Ghana, 2013
This data is the result of collecting opinions of stakeholders on how they decide to use their land use products for generating benefits (food provision, fodder provision, energy provision, construction material provision and market value provision).
Download only allowed to registered members of WASCAL, including Graduate Studies Program, CoC staff members, and partners of affiliated research programs as far as authorized by the WASCAL headquarter. Account in the Data Portal is required for download. Use restricions are: - The Data must not be re-distributed to unauthorized persons as defined by the Data Provider; - The Data can be copied and processed to create derivations by the authorized persons; - If publication results from using the Data, the user agrees to cite the Data Provider and/or give credit to the Data Provider, or, as scientifically appropriate, provide co-authorship to the Data Provider based on any direct contribution s/he may make to the research; - If a publication is made based on the Data, a copy of the manuscript or abstract shall be sent in any case to the Data Provider not less than forty-five (45) days prior to the date of the publication. Citation: Koo, H. (2015): Stakeholder Survey for the Usage of Land Use Products, Bolgatanga and Bongo District, Ghana, 2013. https://wascal-dataportal.org/geonetwork/?uuid=ba14c239-0644-4937-9b11-de71a9700527
This was collected as primary data for analyzing potentials of land use types to provide regionally relevant ecosystem services. This data was obtained by a stakeholder survey carried out in Bolgatanga and Bongo districts of Northern Ghana. Stakeholder here indicates agricultural extension agents generally called as field officers.They were asked the percentage of land use products to gain certain benefits such as food, fodder, energy, construction and marketable products for income. For instance, when they cultivate maize, how much of its products including grains, stalks and leaves are used for consuming by household, feeding livestock, fuel and construction material, and selling in the market was answered by per cent. The data presented here is the result of calculating their average by a district.
Projected Future (2070-2099): High Resolution (12km) WRF-GFDL Daily Precipitation over West Africa, (WASCAL Project)
High resolution (12km) regional climate simulations were carried out by the researchers at Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research (KIT/IMK-IFU) as part of the West Africa Science Service Center on Climate Change and Adapted Land Use (WASCAL) Project. One of the goals of the WASCAL project is to provide the best accuracy in regional climate simulations over the entire West Africa region for a large proportion of the 21st century. The regional climate model employed in the project was the Weather Research and Forecasting Model version 3.5.1 (WRFv3.5.1) forced by three global circulation models (GCMs) under the Representative Concentrative Pathways 4.5 (RCP 4.5). The forcing GCMs are: the Max Planck Institute Earth System Model (MPI-ESM-MR, Stevens et al. 2013), the General Fluid Dynamics Laboratory Earth System Model (GFDL-ESM2M, Dunne et al. 2012), and the Hadley Global Environment Model (HadGEM2-ES, Collins et al. 2011). Further control runs with ERA-Interim reanalysis products (Dee et al. 2011) were also carried out for model verification and bias correction. Therefore, the daily outputs of precipitation, obtained from the 3-hourly simulations of WRFv3.5.1, driven by GFDL-ESM2M, are hereby presented.
Publication in progress. Currently, download is only allowed to registered members of WASCAL, including Graduate Studies Program, CoC staff members, and partners of affiliated research programs as far as authorized by the WASCAL headquarter. Account in the Data Portal is required for download.
Use restrictions are: - The Data must not be re-distributed to unauthorized persons as defined by the Data Provider; - The Data can be copied and processed to create derivations by the authorized persons; - If publication results from using the Data the user agrees to cite the Data Provider and/or give credit to the Data Provider, or, as scientifically appropriate, provide co-authorship to the Data Provider based on any direct contribution s/he may make to the research; Citation: Heinzeller, D., Olusegun, C., Kunstmann, H. (2016): Projected Future (2070-2099): High Resolution (12km) WRF-GFDL Daily Precipitation over West Africa, (WASCAL Project). https://wascal-dataportal.org/geonetwork/?uuid=d483820a-6a98-46d0-b496-3ce96578589b
The model simulations starts in 2069 and run for 31 years at 3 hourly time step.Therefore, the daily sum of precipitation was extracted for the purpose of distribution. The first year of all simulations was discarded as model spin-up while the last 30 years were made available for further analysis.
Maize phenology Time Series from Vea, Dano and Dassari Catchments, Ghana, Burkina Faso and Benin, 2012
Maize phenology time series (primary/raw) from central field experiment plots in the main research sites of the WASCAL Core Research Program, 2012 Function of crop rotation and residue mangement, tillage and N fertilization The data is captured at field plot level.
Download only allowed to registered members of WASCAL, including Graduate Studies Program, CoC staff members, and partners of affiliated research programs as far as authorized by the WASCAL headquarter. Account in the Data Portal is required for download. Use restricions are: - The Data must not be re-distributed to unauthorized persons; - The Data can be copied and processed to create derivations by the authorized persons; - If publication results from using the Data or its derivations, the user agrees to cite the Originator and/or give credit to the Originator, or, as scientifically appropriate, provide co-authorship to the Originator based on any direct contribution s/he may make to the research. Citation: Danso, I. (2016): Maize phenology Time Series from Vea, Dano and Dassari Catchments, Ghana, Burkina Faso and Benin, 2012. https://wascal-dataportal.org/geonetwork/?uuid=9a92bc92-9088-4661-80b9-956fa124f6ea
Bias-Corrected and raw CORDEX-AFRICA daily precipitation for Burkina Faso - MOHC-HadGEM2-ES_historical_r1i1p1_SMHI-RCA4_v1 - Historical Period (19500101-20051231)
Bias-corrected data set of daily precipitation for a study region in Burkina Faso and parts of Ghana, Togo and Benin. The precipitation simulations of the CORDEX Africa ensemble have been bias-corrected with a geostatistically based Quantile-Mapping with dry day correction. The distribution parameters probability of rainfall and mean precipitation on wet days were Kriged to the ungauged locations from the observed parameters of point measurements (172 stations in total) for nine season (dry season NDJF and remaining eight months individually). Observed precipitation was modelled with the exponential distribution, RCM precipitation was modeled with a Kernel Density Estimation of the CDF. Future scenarios were bias-corrected with the Double-Quantile-Mapping approach presented in http://onlinelibrary.wiley.com/doi/10.1029/2010WR009689/abstract All models were stretched to the Gregorian calendar (original CORDEX-RCMs are available as 360d/a, 365d/a and 365.25d/a) to facilitate running impact models. - Historical period: 1950-2005 (exception: SMHI-models start 1951) - calibration period - Future period: 2006-2100 (exception: models driven by HadGEM2 end 2099) - validation period - Temporal resolution: daily - Spatial resolution: 0.44° This is a test version - please inform me about any potential problems you may have with the data via manuel.lorenz@geo.uni-augsburg.de
Publication in progress. Currently, download is only allowed to registered members of WASCAL, including Graduate Studies Program, CoC staff members, and partners of affiliated research programs as far as authorized by the WASCAL headquarter. An account in the Data Portal is required for download. Use restrictions are: - The data must not be re-distributed to unauthorized persons as defined by the data provider; - The data can be copied and processed to create derivations by the authorized persons; - If a publication results from using the data, the user agrees to cite the data provider and/or give credit to the data provider, or, as scientifically appropriate, provide co-authorship to the data provider based on any direct contribution s/he may make to the research - A publication is in progress, further information can be found in the EGU conference contribution http://meetingorganizer.copernicus.org/EGU2017/EGU2017-18296.pdf Citation: Lorenz, M., Bliefernicht, J., Kunstmann, H. and P. Laux (2017): Bias-Corrected and raw CORDEX-AFRICA daily precipitation for Burkina Faso - MOHC-HadGEM2-ES_historical_r1i1p1_SMHI-RCA4_v1 - Historical Period (19500101-20051231). https://wascal-dataportal.org/geonetwork/?uuid=21556ee3-caa3-427b-a609-456fe1343d2c
The study region is sparsely gauged. To avoid bias correcting with remote stations, the observed distribution at the ungauged locations was estimated by Kriging the parameters of the exponential distribution (probability of rainfall and mean precipitation on wet days) from 172 stations to the centers of 173 grid cells. The distribution parameters were calculated and interpolated for nine seasons (dry season NDJF and remaining eight months individually). With the interpolated parameters, virtual observations were simulated for the period 1950-2005 at every location. RCM precipitation was fitted with a Kernel Density Estimated CDF for the period 1950-2005. Future precipitation uses the historical RCM CDF (Double-Quantile-Mapping: http://onlinelibrary.wiley.com/doi/10.1029/2010WR009689/abstract) and the same threshold for the dry day correction as in the historical period. This procedure leads to a different distribution of precipitation in the future period (climate change signal).
Projected Future (2020-2049 and 2070-2099): Surface Downwelling Longtwave Radiation of the High Resolution (12km) Regional Climate Model Simulations (WRF-GFDL) over West Africa, (WASCAL Project)
High resolution (12km) regional climate simulations were carried out by the researchers at Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research (KIT/IMK-IFU) as part of the West Africa Science Service Center on Climate Change and Adapted Land Use (WASCAL) Project. One of the goals of the WASCAL project is to provide the best accuracy in regional climate simulations over the entire West Africa region for a large proportion of the 21st century. The regional climate model employed in the project was the Weather Research and Forecasting Model version 3.5.1 (WRFv3.5.1) forced by three global circulation models (GCMs) under the Representative Concentrative Pathways 4.5 (RCP 4.5). The forcing GCMs are: the Max Planck Institute Earth System Model (MPI-ESM-MR, Stevens et al. 2013), the General Fluid Dynamics Laboratory Earth System Model (GFDL-ESM2M, Dunne et al. 2012), and the Hadley Global Environment Model (HadGEM2-ES, Collins et al. 2011). Further control runs with ERA-Interim reanalysis products (Dee et al. 2011) were also carried out for model verification and bias correction. Therefore, deaccumulated daily outputs of surface downwelling longwave radiation, obtained from the 3-hourly simulations of WRFv3.5.1, driven by GFDL-ESM2M, are hereby presented.
Use restrictions are: - The Data must not be re-distributed to unauthorized persons as defined by the Data Provider; - The Data can be copied and processed to create derivations by the authorized persons; - If publication results from using the Data the user agrees to cite the Data Provider and/or give credit to the Data Provider, or, as scientifically appropriate, provide co-authorship to the Data Provider based on any direct contribution s/he may make to the research; Citation: Heinzeller, D., Olusegun, C., Kunstmann, H. (2017): Projected Future (2020-2049 and 2070-2099): Surface Downwelling Longwave Radiation of the High Resolution (12km) Regional Climate Model Simulations (WRF-GFDL) over West Africa, (WASCAL Project). https://wascal-dataportal.org/geonetwork/?uuid=adf9524a-53c4-4e26-8c8c-45455383784c
Daily Shallow Groundwater Level Data from 1 Piezometer in the Dano Catchment, Burkina Faso, 2014-2016
Weekly Shallow Groundwater Level Data from 1 Piezometer in the Dano Catchment, Burkina Faso, 2014-2016
Publication in progress. Only accessible to Core Research Program, WP 2.3 member. Others may contact personally the distributor in urgent cases. Will be accessible later based on an Open Data Commons License https://opendatacommons.org/licenses/by/summary/ Citation: Idrissou, M. (2018): Daily Shallow Groundwater Level Data from 1 Piezometer in the Dano Catchment, Burkina Faso, 2014-2016 https://wascal-dataportal.org/geonetwork/?uuid=f5bac799-75f6-41c5-964e-ce2055d0d51b
Instruments, particular rating curve, inaccuracies, gaps, etc. and methods to deal with
High Resolution (12km) WRF-HADGEM2 Daily Outputs of Simulated Near-Surface Air Temperature over West Africa, 1980 - 2009 (WASCAL Project)
High resolution (12km) regional climate simulations were carried out by the researchers at Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research (KIT/IMK-IFU) as part of the West Africa Science Service Center on Climate Change and Adapted Land Use (WASCAL) Project. One of the goals of the WASCAL project is to provide the best accuracy in regional climate simulations over the entire West Africa region for a large proportion of the 21st century. The regional climate model employed in the project was the Weather Research and Forecasting Model version 3.5.1 (WRFv3.5.1) forced by three global circulation models (GCMs) under the Representative Concentrative Pathways 4.5 (RCP 4.5). The forcing GCMs are: the Max Planck Institute Earth System Model (MPI-ESM-MR, Stevens et al. 2013), the General Fluid Dynamics Laboratory Earth System Model (GFDL-ESM2M, Dunne et al. 2012), and the Hadley Global Environment Model (HadGEM2-ES, Collins et al. 2011). Further control runs with ERA- Interim reanalysis products (Dee et al. 2011) were also carried out for model verification and bias correction. Therefore, daily outputs of near-surface air temperature, obtained from the 3-hourly simulations of WRFv3.5.1, driven by HadGEM2-ES, are hereby presented.
Use restrictions are: - The Data must not be re-distributed to unauthorized persons as defined by the Data Provider; - The Data can be copied and processed to create derivations by the authorized persons; - If publication results from using the Data the user agrees to cite the Data Provider and/or give credit to the Data Provider, or, as scientifically appropriate, provide co-authorship to the Data Provider based on any direct contribution s/he may make to the research; Citation: Heinzeller, D., Olusegun, C., Kunstmann, H. (2016): High Resolution (12km) WRF-HADGEM2 Daily Outputs of Simulated Near-Surface Air Temperature over West Africa, 1980 - 2009 (WASCAL Project). https://wascal-dataportal.org/geonetwork/?uuid=49499b53-a774-4679-be70-152a2401c02b
The model simulations starts in 1979 and run for 32 years at 3 hourly time step.Therefore, the daily mean of near-surface air temperature was extracted for the purpose of distribution. The first year of all simulations was discarded as model spin-up while the last 30 to 31 years were made available for further analysis.
Pan African University Institute of Water and Energy Sciences (PAUWES)
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research (KIT/IMK-IFU)
Institute of Crop Science and Resource Conservation (INRES), University of Bonn
Institute of Geography, University of Augsburg
WASCAL (West African Science Service Center on Climate Change and Adapted Land Use)
Center for Development Research, Department C: Ecology and Natural Resources Management, University of Bonn