• Energy Research
• 11. Sustainability close
• 2. Zero hunger close
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The potential impact of the ICT, Food and Agriculture and Finance sector on children in Serbia and opportunities for shared valued partnerships with organisations and institutions supporting children and their rights. The major impact area for all three examined business sectors is the marketplace, from ensuring that products and services are safe to children and seeking to support children’s rights through them, and in using marketing and advertising that respect and supports children and their rights. The mapped key impact area creates related risks, which are also associated with the use and availability of products and services, their responsible promotion, and environmental risks posed to the local community. The opportunities for shared value partnerships for all three sectors can be found in advocacy initiatives on raising awareness on perceived risks that children could be exposed to using companies’ product and services and agenda-setting through influential sectoral platforms. Besides, child rights consideration should be integrated into all appropriate corporate procedures and committed by management processes. When it comes to financing, it should be covered from a broader angle, from strategic grants and contribution in-kind to the engagement of employees in terms of their time and expertise, and customers around the cause of the support and promotion of children’s rights in Serbia. Finally, a clear untapped potential can be found in innovative products and services and the expertise of the leading companies in the sector, which would make their offer more inclusive and impact on the overall well-being of children, thereby creating a business contribution to the Sustainable Development Goals.

Multispectral data from two legume-grass mixtures (clover- and lucerne-grass) were collected in the year 2018 for aboveground biomass and nitrogen fixation (NFix) estimation. In addition to the mixtures, pure stands of legumes and of grasses of the two mixtures were sown in order to represent variable conditions in practical farming (0-100% legumes). All six treatments were cultivated in four replicates and harvested three times within the year (plot size: 1.5 x 12 m). Destructive biomass samples for fresh (FM) and dry matter (DM) and NFix determination were taken three times at harvest. To cover the entire vegetation season, sub-sampling for DM and FM was done five times between the harvests. Flight missions were carried out one day before each of the eight sampling dates. A multispectral sensor (Parrot Sequoia, MicaSense Inc, Seattle, USA) with four spectral bands (green, red, red edge, near infrared) was mounted on a low-cost unmanned aerial vehicle (UAV; DJI Phantom 3, Advanced, Shenzhen, China). Eight black and white ground control points (GCPs) were distributed in the pathways. Coordinates of the plot corners and GCPs were measured by a Leica real time kinematic global navigation satellite system (Leica RTK GNSS). Orthomosaics were created by the overlapping images with a photogrammetric processing software (Agisoft PhotoScan Professional, Agisoft LLC, St. Petersburg, Russia). The orthomosaics were georeferenced using the coordinates of the GCPs. The mean reflectance value of the four bands was extracted by zonal statistics in QGIS (Quantum Geografic Infromation System) using the four plot corners of each plot as boundaries. Furthermore, eight texture features of every band were calculated, provided by the processing tool HaralickTextureExtraction of the Orfeo Toolbox library (OTB) in QGIS.

These datasets include raw data and estimations for lifecycle assessment of GHG emission, Levelized cost of energy, optimization and selection using TOPSIS method.

Zooplankton treatment: HZ: zooplankton added, LZ: Zooplankton removedCarbon treatment: 0C: No glucose addition, 0.5: 0.5 x Redfield. 1: 1xRedfield, 2: 2xRedfield, 3: 3XRedfieldpH Treatment:NpH: Normal pH, LpH: Low pH

This dataset contains data from 30 China provinces' industrial systems at the year of 2012 for eco-efficiency evaluation.

In July 2010, the LISS Immigrant panel was presented a questionnaire to measure the ecological footprint of the respondent. The questionnaire calculates the ecological footprint by taking account of the space, resources and energy people use in relation to the biocapacity of the earth.More information on this Ecological Footprint measure by Prof. W. Rees and Dr. M. Wackernagel can be found on the website: www.footprintnetwork.org.

Monthly data for the food price index and the crude oil price index for the period Jan 2000 - Dec 2015.