cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc23wqwm
title: CCDC 1963071: Experimental Crystal Structure Determination

description: Related Article: Sheng Tao, Qingqing Bu, Qianqian Shi, Donghui Wei, Bin Dai, Ning Liu|2020|Chem.-Eur.J.|26|3252|doi:10.1002/chem.201905828
DOI: 10.5517/ccdc.csd.cc23y4qy
title: CCDC 1964430: Experimental Crystal Structure Determination

description: Related Article: Fernando González Chávez, Hugo Nájera, Marco Antonio Leyva, Omar Solorza-Feria, Federico González, Hiram Isaac Beltrán|2020|Cryst.Growth Des.|20|4273|doi:10.1021/acs.cgd.9b01542
DOI: 10.5517/ccdc.csd.cc23wqzq
title: CCDC 1963074: Experimental Crystal Structure Determination

description: Related Article: Sheng Tao, Qingqing Bu, Qianqian Shi, Donghui Wei, Bin Dai, Ning Liu|2020|Chem.-Eur.J.|26|3252|doi:10.1002/chem.201905828
DOI: 10.5517/ccdc.csd.cc23s67c
title: CCDC 1959672: Experimental Crystal Structure Determination

description: Related Article: Sen Li, Jin'an Zhao, Yan Guo, Yameng Mei, Bangpeng Yuan, Ning Gan, Junshuai Zhang, Jiyong Hu, Hongwei Hou|2020|J.Inorg.Biochem.|210|111102|doi:10.1016/j.jinorgbio.2020.111102
DOI: 10.5517/ccdc.csd.cc24d2zm
title: CCDC 1977830: Experimental Crystal Structure Determination

description: Related Article: Xun Cao, Yutong Shi, Shanhu Wu, Xiaodan Wu, Kuiwu Wang, Hongxiang Sun, Shan He, Jeroen S. Dickschat, Bin Wu|2020|Tetrahedron|76|131349|doi:10.1016/j.tet.2020.131349
DOI: 10.5517/ccdc.csd.cc24d30p
title: CCDC 1977831: Experimental Crystal Structure Determination

description: Related Article: Xun Cao, Yutong Shi, Shanhu Wu, Xiaodan Wu, Kuiwu Wang, Hongxiang Sun, Shan He, Jeroen S. Dickschat, Bin Wu|2020|Tetrahedron|76|131349|doi:10.1016/j.tet.2020.131349
DOI: 10.5281/zenodo.3911112
title: Data set for "Projection-specific activity of layer 2/3 neurons imaged in mouse primary somatosensory barrel cortex during a whisker detection task"

description: Data set for: Vavladeli A, Daigle T, Zeng H, Crochet S, Petersen CCH (2020) Projection-specific activity of layer 2/3 neurons imaged in mouse primary somatosensory barrel cortex during a whisker detection task. FUNCTION 1: zqaa008. doi: 10.1093/function/zqaa008 There are 2 files in this upload: 1. The file named "2020_Vavladeli_FUNCTION.pdf" is the Open Access pdf file of the manuscript published in FUNCTION. 2. The file named "Vavladeli_data_code.zip" (~2 GB) is a zipped version of a folder named "Vavladeli_data_code" (~2 GB), which contains the data analysed in the study along with the Matlab code used to generate the published figures. When unzipped, the folder contains 8 Matlab '.m' files with analysis code and two '.mat' data files. In order to run the analysis of the data set, you need to execute the '.m' file with the corresponding figure name.
description: {"references": ["Vavladeli A, Daigle T, Zeng H, Crochet S, Petersen CCH (2020) Projection-specific activity of layer 2/3 neurons imaged in mouse primary somatosensory barrel cortex during a whisker detection task. FUNCTION 1: zqaa008. doi: 10.1093/function/zqaa008"]}
DOI: 10.5281/zenodo.3911111
title: Data set for "Projection-specific activity of layer 2/3 neurons imaged in mouse primary somatosensory barrel cortex during a whisker detection task"

description: Data set for: Vavladeli A, Daigle T, Zeng H, Crochet S, Petersen CCH (2020) Projection-specific activity of layer 2/3 neurons imaged in mouse primary somatosensory barrel cortex during a whisker detection task. FUNCTION 1: zqaa008. doi: 10.1093/function/zqaa008 There are 2 files in this upload: 1. The file named "2020_Vavladeli_FUNCTION.pdf" is the Open Access pdf file of the manuscript published in FUNCTION. 2. The file named "Vavladeli_data_code.zip" (~2 GB) is a zipped version of a folder named "Vavladeli_data_code" (~2 GB), which contains the data analysed in the study along with the Matlab code used to generate the published figures. When unzipped, the folder contains 8 Matlab '.m' files with analysis code and two '.mat' data files. In order to run the analysis of the data set, you need to execute the '.m' file with the corresponding figure name.
description: {"references": ["Vavladeli A, Daigle T, Zeng H, Crochet S, Petersen CCH (2020) Projection-specific activity of layer 2/3 neurons imaged in mouse primary somatosensory barrel cortex during a whisker detection task. FUNCTION 1: zqaa008. doi: 10.1093/function/zqaa008"]}
DOI: 10.21227/nfws-wp94
title: MiniFrance

description: The DatasetWe introduce a novel large-scale dataset for semi-supervised semantic segmentation in Earth Observation, the MiniFrance suite. MiniFrance has several unprecedented properties: it is large-scale, containing over 2000 very high resolution aerial images, accounting for more than 200 billions samples (pixels); it is varied, covering 16 conurbations in France, with variousclimates, different landscapes, and urban as well as countryside scenes; and it is challenging, considering land use classes with high-level semantics. Nevertheless, the most distinctive quality of MiniFrance is being the only dataset in the field especially designed for semi-supervised learning: it contains labeled and unlabeled images in its training partition, which reproduces a life-like scenario.
DOI: 10.21227/e9kd-9986
title: MiniFrance

description: The DatasetWe introduce a novel large-scale dataset for semi-supervised semantic segmentation in Earth Observation, the MiniFrance suite. MiniFrance has several unprecedented properties: it is large-scale, containing over 2000 very high resolution aerial images,; it is varied, covering 16 conurbations in France, with various climates, different landscapes, and urban as well as countryside scenes; and it is challenging, considering land use classes with high-level semantics. Nevertheless, the most distinctive quality of MiniFrance is being the only dataset in the field especially designed for semi-supervised learning: it contains labeled and unlabeled images in its training partition, which reproduces a life-like scenario.
DOI: 10.5281/zenodo.3959096
title: Data repository Thomas Meerwijk

description: The data repository of the thesis for a degree Bachelor of Science at the University of Amsterdam, UvA Administered by the Netherlands department for sea research (NIOZ) department of coastal systems Supervised by Carlijn Lammers
DOI: 10.5281/zenodo.3959095
title: Data repository Thomas Meerwijk

description: The data repository of the thesis for a degree Bachelor of Science at the University of Amsterdam, UvA Administered by the Netherlands department for sea research (NIOZ) department of coastal systems Supervised by Carlijn Lammers
DOI: 10.5281/zenodo.3959105
title: Agricultural Monitoring in Vojvodina, Serbia

description: This dataset had been collected during the LandSense agricultural demonstration pilot, which focuses on leveraging the power of Earth Observation (EO) systems and advanced crowdsourcing techniques to deliver value added services to European farmers and public authorities in the agricultural sector. Pilot activities, led by INOSENS, were localized in Vojvodina province of Serbia and were implemented over two phases. During the Phase 1 campaign (Nov, 2017-Sep, 2018), agricultural high school students and master students from University of Novi Sad were actively involved in data collection. During the Phase 2 campaign (Feb-Oct, 2019), a group of individual farmers participated in the collecting of agricultural in-situ data. The mobile and web-based CropSupport application, developed by INOSENS was the primary tool for in-situ data collection related to crop type and farm management. Besides the functionalities for intuitive in-situ data collection, the application allows users to access (free of charge) information related to their land, such as weather forecast for the micro locations of their parcels, the LandSense Change Detection Service as well as processed satellite images that contain information on potential stress of crops due to exposure to pests, plant diseases, water scarcity or nutrient elements in the soil (e.g. NDVI, vegetation and moisture indexes). The datasets show the delineated parcels and crowdsourced in-situ photographs for crop type classification. <strong>Contributors</strong>:<br> 1. High School students from (i) Srednja poljoprivredno-prehrambena škola “Stevan Petrović Brile”, Ruma; (ii) Poljoprivredna škola Bač, Bač.<br> 2. Master Students from the University of Novi Sad<br> 3. Farmers (“Club of farmers Selenca”, “Center for Organic production Selenca”and individual farmers from following villages: Srbobran, Zabalj) Associated files: CropSupport Attributes.csv, CropSupport images.csv, CropSupport images.geojson, CropSupport parcels.csv, CropSupport parcels.geojson This dataset is licensed under a Creative Commons Attribution 4.0 International. It is attributed to the LandSense Citizen Observatory, INOSENS, and SINERGISE. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no 689812.
DOI: 10.5281/zenodo.3959104
title: Agricultural Monitoring in Vojvodina, Serbia

description: This dataset had been collected during the LandSense agricultural demonstration pilot, which focuses on leveraging the power of Earth Observation (EO) systems and advanced crowdsourcing techniques to deliver value added services to European farmers and public authorities in the agricultural sector. Pilot activities, led by INOSENS, were localized in Vojvodina province of Serbia and were implemented over two phases. During the Phase 1 campaign (Nov, 2017-Sep, 2018), agricultural high school students and master students from University of Novi Sad were actively involved in data collection. During the Phase 2 campaign (Feb-Oct, 2019), a group of individual farmers participated in the collecting of agricultural in-situ data. The mobile and web-based CropSupport application, developed by INOSENS was the primary tool for in-situ data collection related to crop type and farm management. Besides the functionalities for intuitive in-situ data collection, the application allows users to access (free of charge) information related to their land, such as weather forecast for the micro locations of their parcels, the LandSense Change Detection Service as well as processed satellite images that contain information on potential stress of crops due to exposure to pests, plant diseases, water scarcity or nutrient elements in the soil (e.g. NDVI, vegetation and moisture indexes). The datasets show the delineated parcels and crowdsourced in-situ photographs for crop type classification. <strong>Contributors</strong>:<br> 1. High School students from (i) Srednja poljoprivredno-prehrambena škola “Stevan Petrović Brile”, Ruma; (ii) Poljoprivredna škola Bač, Bač.<br> 2. Master Students from the University of Novi Sad<br> 3. Farmers (“Club of farmers Selenca”, “Center for Organic production Selenca”and individual farmers from following villages: Srbobran, Zabalj) Associated files: CropSupport Attributes.csv, CropSupport images.csv, CropSupport images.geojson, CropSupport parcels.csv, CropSupport parcels.geojson This dataset is licensed under a Creative Commons Attribution 4.0 International. It is attributed to the LandSense Citizen Observatory, INOSENS, and SINERGISE. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no 689812.
DOI: 10.5445/ir/1000121942
title: Hourly data of evapotranspiration of Graswang and Fendt for 2013 and 2014
DOI: 10.5517/ccdc.csd.cc1mkwmp
title: CCDC 1506743: Experimental Crystal Structure Determination

description: Related Article: Chanchan Xu, Yuzhe Li, Le Lv, Fang Lin, Feng Lin, Zhijuan Zhang, Chaoyun Luo, Dawei Luo, Wei Liu|2020|Inorg.Chim.Acta|512|119893|doi:10.1016/j.ica.2020.119893
DOI: 10.5517/ccdc.csd.cc1mkwnq
title: CCDC 1506744: Experimental Crystal Structure Determination

description: Related Article: Chanchan Xu, Yuzhe Li, Le Lv, Fang Lin, Feng Lin, Zhijuan Zhang, Chaoyun Luo, Dawei Luo, Wei Liu|2020|Inorg.Chim.Acta|512|119893|doi:10.1016/j.ica.2020.119893
DOI: 10.5517/ccdc.csd.cc1z7zz5
title: CCDC 1824938: Experimental Crystal Structure Determination

description: Related Article: Lin Yan, Ling-Hui Wang, Xie Li, Ao Li, Qi-Min Xiao, Xu-Feng Liu, Yu-Long Li, Xing-Hai Liu, Zhong-Qing Jiang|2020|Phosphorus,Sulfur,Silicon,Relat.Elem.|195|740|doi:10.1080/10426507.2020.1756291
DOI: 10.5517/ccdc.csd.cc1z8008
title: CCDC 1824939: Experimental Crystal Structure Determination

description: Related Article: Lin Yan, Ling-Hui Wang, Xie Li, Ao Li, Qi-Min Xiao, Xu-Feng Liu, Yu-Long Li, Xing-Hai Liu, Zhong-Qing Jiang|2020|Phosphorus,Sulfur,Silicon,Relat.Elem.|195|740|doi:10.1080/10426507.2020.1756291
DOI: 10.5517/ccdc.csd.cc2468yl
title: CCDC 1972249: Experimental Crystal Structure Determination

description: Related Article: Lara K. Watanabe, Justin D. Wrixon, Zeinab S. Ahmed, John J. Hayward, Parisa Abbasi, Melanie Pilkington, Charles L. B. Macdonald, Jeremy M. Rawson|2020|Dalton Trans.|49|9086|doi:10.1039/D0DT01678K
DOI: 10.5517/ccdc.csd.cc2468zm
title: CCDC 1972250: Experimental Crystal Structure Determination

description: Related Article: Lara K. Watanabe, Justin D. Wrixon, Zeinab S. Ahmed, John J. Hayward, Parisa Abbasi, Melanie Pilkington, Charles L. B. Macdonald, Jeremy M. Rawson|2020|Dalton Trans.|49|9086|doi:10.1039/D0DT01678K
DOI: 10.5517/ccdc.csd.cc24690p
title: CCDC 1972251: Experimental Crystal Structure Determination

description: Related Article: Lara K. Watanabe, Justin D. Wrixon, Zeinab S. Ahmed, John J. Hayward, Parisa Abbasi, Melanie Pilkington, Charles L. B. Macdonald, Jeremy M. Rawson|2020|Dalton Trans.|49|9086|doi:10.1039/D0DT01678K
DOI: 10.5517/ccdc.csd.cc24691q
title: CCDC 1972252: Experimental Crystal Structure Determination

description: Related Article: Lara K. Watanabe, Justin D. Wrixon, Zeinab S. Ahmed, John J. Hayward, Parisa Abbasi, Melanie Pilkington, Charles L. B. Macdonald, Jeremy M. Rawson|2020|Dalton Trans.|49|9086|doi:10.1039/D0DT01678K
DOI: 10.5517/ccdc.csd.cc24692r
title: CCDC 1972253: Experimental Crystal Structure Determination

description: Related Article: Lara K. Watanabe, Justin D. Wrixon, Zeinab S. Ahmed, John J. Hayward, Parisa Abbasi, Melanie Pilkington, Charles L. B. Macdonald, Jeremy M. Rawson|2020|Dalton Trans.|49|9086|doi:10.1039/D0DT01678K
DOI: 10.5517/ccdc.csd.cc2482gz
title: CCDC 1973970: Experimental Crystal Structure Determination

description: Related Article: Anoop Kumar Panday, Danish Ali, Lokman H. Choudhury|2020|Org.Biomol.Chem.|18|4997|doi:10.1039/D0OB00591F
DOI: 10.5517/ccdc.csd.cc2482h0
title: CCDC 1973971: Experimental Crystal Structure Determination

description: Related Article: Anoop Kumar Panday, Danish Ali, Lokman H. Choudhury|2020|Org.Biomol.Chem.|18|4997|doi:10.1039/D0OB00591F
DOI: 10.5517/ccdc.csd.cc24c4b0
title: CCDC 1976911: Experimental Crystal Structure Determination

description: Related Article: Yong Yang, Yuki Nanjo, Hiroyuki Isobe, Sota Sato|2020|Org.Biomol.Chem.|18|4949|doi:10.1039/D0OB01064B
DOI: 10.5517/ccdc.csd.cc24c4c1
title: CCDC 1976912: Experimental Crystal Structure Determination

description: Related Article: Yong Yang, Yuki Nanjo, Hiroyuki Isobe, Sota Sato|2020|Org.Biomol.Chem.|18|4949|doi:10.1039/D0OB01064B
DOI: 10.5517/ccdc.csd.cc24c7pg
title: CCDC 1977015: Experimental Crystal Structure Determination

description: Related Article: Yong Yang, Yuki Nanjo, Hiroyuki Isobe, Sota Sato|2020|Org.Biomol.Chem.|18|4949|doi:10.1039/D0OB01064B
DOI: 10.5517/ccdc.csd.cc24lxk7
title: CCDC 1984389: Experimental Crystal Structure Determination

description: Related Article: Saravanan Raju, Harkesh B. Singh, Ray J. Butcher|2020|Dalton Trans.|49|9099|doi:10.1039/D0DT01008A
DOI: 10.5517/ccdc.csd.cc24m22y
title: CCDC 1984529: Experimental Crystal Structure Determination

description: Related Article: Nikita Y. Gugin, Alexander Virovets, Eugenia Peresypkina, Elena I. Davydova, Alexey Y. Timoshkin|2020|CrystEngComm|22|4531|doi:10.1039/D0CE00541J
DOI: 10.5517/ccdc.csd.cc24m23z
title: CCDC 1984530: Experimental Crystal Structure Determination

description: Related Article: Nikita Y. Gugin, Alexander Virovets, Eugenia Peresypkina, Elena I. Davydova, Alexey Y. Timoshkin|2020|CrystEngComm|22|4531|doi:10.1039/D0CE00541J
DOI: 10.5517/ccdc.csd.cc24m240
title: CCDC 1984531: Experimental Crystal Structure Determination

description: Related Article: Nikita Y. Gugin, Alexander Virovets, Eugenia Peresypkina, Elena I. Davydova, Alexey Y. Timoshkin|2020|CrystEngComm|22|4531|doi:10.1039/D0CE00541J
DOI: 10.5517/ccdc.csd.cc24m251
title: CCDC 1984532: Experimental Crystal Structure Determination

description: Related Article: Nikita Y. Gugin, Alexander Virovets, Eugenia Peresypkina, Elena I. Davydova, Alexey Y. Timoshkin|2020|CrystEngComm|22|4531|doi:10.1039/D0CE00541J
DOI: 10.5517/ccdc.csd.cc24m262
title: CCDC 1984533: Experimental Crystal Structure Determination

description: Related Article: Nikita Y. Gugin, Alexander Virovets, Eugenia Peresypkina, Elena I. Davydova, Alexey Y. Timoshkin|2020|CrystEngComm|22|4531|doi:10.1039/D0CE00541J
DOI: 10.5517/ccdc.csd.cc24m273
title: CCDC 1984534: Experimental Crystal Structure Determination

description: Related Article: Nikita Y. Gugin, Alexander Virovets, Eugenia Peresypkina, Elena I. Davydova, Alexey Y. Timoshkin|2020|CrystEngComm|22|4531|doi:10.1039/D0CE00541J
DOI: 10.5517/ccdc.csd.cc24m284
title: CCDC 1984535: Experimental Crystal Structure Determination

description: Related Article: Nikita Y. Gugin, Alexander Virovets, Eugenia Peresypkina, Elena I. Davydova, Alexey Y. Timoshkin|2020|CrystEngComm|22|4531|doi:10.1039/D0CE00541J
DOI: 10.5517/ccdc.csd.cc24m295
title: CCDC 1984536: Experimental Crystal Structure Determination

description: Related Article: Nikita Y. Gugin, Alexander Virovets, Eugenia Peresypkina, Elena I. Davydova, Alexey Y. Timoshkin|2020|CrystEngComm|22|4531|doi:10.1039/D0CE00541J
DOI: 10.5517/ccdc.csd.cc24m2b6
title: CCDC 1984537: Experimental Crystal Structure Determination

description: Related Article: Nikita Y. Gugin, Alexander Virovets, Eugenia Peresypkina, Elena I. Davydova, Alexey Y. Timoshkin|2020|CrystEngComm|22|4531|doi:10.1039/D0CE00541J
DOI: 10.5517/ccdc.csd.cc24m2c7
title: CCDC 1984538: Experimental Crystal Structure Determination

description: Related Article: Nikita Y. Gugin, Alexander Virovets, Eugenia Peresypkina, Elena I. Davydova, Alexey Y. Timoshkin|2020|CrystEngComm|22|4531|doi:10.1039/D0CE00541J
DOI: 10.5517/ccdc.csd.cc24m2d8
title: CCDC 1984539: Experimental Crystal Structure Determination

description: Related Article: Nikita Y. Gugin, Alexander Virovets, Eugenia Peresypkina, Elena I. Davydova, Alexey Y. Timoshkin|2020|CrystEngComm|22|4531|doi:10.1039/D0CE00541J
DOI: 10.5517/ccdc.csd.cc24m2f9
title: CCDC 1984540: Experimental Crystal Structure Determination

description: Related Article: Nikita Y. Gugin, Alexander Virovets, Eugenia Peresypkina, Elena I. Davydova, Alexey Y. Timoshkin|2020|CrystEngComm|22|4531|doi:10.1039/D0CE00541J
DOI: 10.5517/ccdc.csd.cc24m2gb
title: CCDC 1984541: Experimental Crystal Structure Determination

description: Related Article: Nikita Y. Gugin, Alexander Virovets, Eugenia Peresypkina, Elena I. Davydova, Alexey Y. Timoshkin|2020|CrystEngComm|22|4531|doi:10.1039/D0CE00541J
DOI: 10.21227/x5f8-pk49
title: Brazilian Flights Dataset

description: An integrated dataset containing data on departure and arrival data for Brazilian domestic flights comprising the period from the years 2000 to 2019.Composed of 15,948,676 records of flight data, each containing 45 attributes. The attributes include data regarding the airline, flight, airports, meteorological conditions, and scheduled and real times of departure and arrival.
DOI: 10.21227/xtg2-be22
title: Brazilian Flights Dataset

description: An integrated dataset containing data on departure and arrival data for Brazilian domestic flights comprising the period from the years 2000 to 2019.Composed of 15,948,676 records of flight data, each containing 45 attributes. The attributes include data regarding the airline, flight, airports, meteorological conditions, and scheduled and real times of departure and arrival.
DOI: 10.21227/7nn9-f714
title: Brazilian Flights Dataset

description: An integrated dataset containing data on departure and arrival data for Brazilian domestic flights comprising the period from the years 2000 to 2019.Composed of 15,948,676 records of flight data, each containing 45 attributes. The attributes include data regarding the airline, flight, airports, meteorological conditions, and scheduled and real times of departure and arrival.
DOI: 10.5281/zenodo.3959127
title: Datasets for the study "Hydro-economic analysis of infrastructure investment options within the Water-Energy-Food nexus in the Niger River basin"

description: This is the dataset used in the study "Hydro-economic analysis of infrastructure investment options within the Water-Energy-Food nexus in the Niger River basin". This study has been conducted within the Department of Environmental Engineering at the Technical University of Denmark as a Master Thesis project. The dataset describes the water-energy-food nexus of the Niger River basin used as input to the open source single objective hydro-economic optimization model WHAT-IF. Note that the Energy Module is partly filled, but has not been used in the study (except the hydropower sheet). More information on data organization here. The model is documented in this publication. The code is available on Github.
description: {"references": ["International Food Policy Research Institute, \"Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Saharan for 2017\" (2020). https://doi.org/10.7910/DVN/FSSKBW, Harvard Dataverse, V1.", "Ghiggi, G., Humphrey, V., Seneviratne, S. I. and Gudmundsson, L. 2019. \"GRUN: an observation-based global gridded runoff dataset from 1902 to 2014\", Earth Syst. Sci. Data, 11, 1655\u20131674, https://doi.org/10.5194/essd-11-1655-2019.", "Harris, I., Jones, P.D., Osborn, T.J. and Lister, D.H. 2014. \"Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 Dataset\". International Journal of Climatology 34, 623-642 doi:10.1002/joc.3711.", "IRENA, \"WEST AFRICAN POWER POOL: Planning and Prospects for Renewable Energy\" (2013). URL: https://www.irena.org/documentdownloads/publications/wapp.pdf.", "Cervigni, R., Liden, R., Neumann, J.E. and Strzepek, K.M. 2015. \"Enhancing the Climate Resilience of Africa's Infrastructure : The Power and Water Sectors.\" Africa Development Forum;. Washington, DC: World Bank. \u00a9 World Bank. https://openknowledge.worldbank.org/handle/10986/21875 License: CC BY 3.0 IGO.", "UNEP Energy Country Profiles (2017). URL (Mali): https://www.unenvironment.org/resources/report/energy-profile-mali.", "FAO: FAOSTAT, [online] Available from: http://www.fao.org/faostat/en/ (Accessed 24 July 2020), 2020.", "JRC, 'Irrigation and irrigated agriculture potential in the Sahel: The case of the Niger river basin\" (2019). DOI: 10.2760/725906"]}