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Absorption Koeffizient der farbigen detritalen Substanz bei 443nm (adg in m^-1 bei 4 km Auflösung): Der Absorptionskoeffizient adg stellt den Anteil des einfallenden Lichts dar, das sowohl von detritalen Partikeln als auch von farbiger gelöster organischer Substanz (CDOM) absorbiert wird. Gelöste organische Substanz ist ein wichtiger Bestandteil des ozeanischen Kohlenstoffkreislaufs. Es wird auch als Proxy verwendet, um die Auswirkungen von Terrigenous Inputs in Küstengewässern zu bewerten. Συντελεστής απορρόφησης της χρωματισμένης αποτριχωτικής ύλης στα 443nm (adg σε m^-1 σε ανάλυση 4 km): Ο συντελεστής απορρόφησης adg αντιπροσωπεύει το κλάσμα του προσπίπτοντος φωτός που απορροφάται τόσο από τα διακριτικά σωματίδια όσο και από τη χρωματισμένη διαλυμένη οργανική ύλη (CDOM). Η διαλυμένη οργανική ύλη είναι ένα σημαντικό συστατικό του ωκεάνιου κύκλου του άνθρακα. Χρησιμοποιείται επίσης ως υποκατάστατο για την εκτίμηση των επιπτώσεων των εδαφικών εισροών στα παράκτια ύδατα. Współczynnik absorpcji barwnej substancji detrytalnej przy 443 nm (adg w m^-1 przy rozdzielczości 4 km): Współczynnik absorpcji adg reprezentuje ułamek padającego światła pochłanianego zarówno przez cząstki detrytalne, jak i przez kolorowe rozpuszczone substancje organiczne (CDOM). Rozpuszczone materia organiczna jest ważnym składnikiem oceanicznego cyklu węgla. Jest on również wykorzystywany jako wskaźnik zastępczy do oceny wpływu czynników atmosferycznych w wodach przybrzeżnych. Coeficientul de absorbție al materiei detritale colorate la 443nm (adg în m^-1 la o rezoluție de 4 km): Coeficientul de absorbție adg reprezintă fracțiunea de lumină incidentă absorbită atât de particulele detritale, cât și de materia organică colorată dizolvată (CDOM). Materia organică dizolvată este o componentă importantă a ciclului carbonului oceanic. Acesta este, de asemenea, utilizat ca indicator pentru a evalua impactul factorilor de producție terrigeni în apele costiere. Assorbiment Koeffiċjent tal-materja detritali kkulurita f’443nm (adg f’m^-1 b’riżoluzzjoni ta’ 4 km): Il-koeffiċjent ta’ assorbiment adg jirrappreżenta l-frazzjoni ta’ dawl inċidentali assorbit kemm minn partiċelli detritali kif ukoll minn materja organika maħlula kkulurita (CDOM). Il-materja organika maħlula hija komponent importanti taċ-ċiklu tal-karbonju oċeaniku. Tintuża wkoll bħala indikatur biex jiġi vvalutat l-impatt tal-inputs terriġenużi fl-ilmijiet kostali. Coefficiente di assorbimento della materia detritale colorata a 443nm (adg in m^-1 a risoluzione di 4 km): Il coefficiente di assorbimento adg rappresenta la frazione di luce incidente assorbita sia dalle particelle detritali che dalla materia organica disciolta colorata (CDOM). La materia organica disciolta è una componente importante del ciclo del carbonio oceanico. Viene anche utilizzato come proxy per valutare l'impatto degli input terrigeni nelle acque costiere. Coeficiente de absorción de materia detrital de color a 443 nm (adg en m^-1 a 4 km de resolución): El coeficiente de absorción adg representa la fracción de luz incidente absorbida tanto por partículas detritales como por materia orgánica disuelta coloreada (CDOM). La materia orgánica disuelta es un componente importante del ciclo del carbono oceánico. También se utiliza como representante para evaluar el impacto de los insumos territoriales en las aguas costeras. Коефициент на абсорбция на цветна детритална материя при 443nm (adg в m^-1 при разделителна способност 4 km): Коефициентът на поглъщане adg представлява частта от падащата светлина, абсорбирана както от детритните частици, така и от оцветената разтворена органична материя (CDOM). Разтворената органична материя е важен компонент на океанския въглероден цикъл. Той се използва и като заместител за оценка на въздействието на теригенните суровини в крайбрежните води. Coefficient d’absorption de la matière détritique colorée à 443nm (adg en m^-1 à 4 km de résolution): Le coefficient d’absorption adg représente la fraction de lumière incidente absorbée à la fois par les particules détritales et par la matière organique dissoute colorée (CDOM). La matière organique dissoute est une composante importante du cycle du carbone océanique. Il sert également de proxy pour évaluer l’impact des apports terriens dans les eaux côtières. Absorptiecoëfficiënt van gekleurde detritale materie bij 443nm (adg in m^-1 bij 4 km resolutie): De absorptiecoëfficiënt adg vertegenwoordigt de fractie van invallend licht geabsorbeerd door zowel detritale deeltjes als gekleurd opgelost organisch materiaal (CDOM). Opgelost organisch materiaal is een belangrijk onderdeel van de oceanische koolstofcyclus. Het wordt ook gebruikt als volmacht om de impact van terrigeneuze inputs in kustwateren te beoordelen.

Absorption Koeffizient der farbigen detritalen Substanz bei 443nm (adg in m^-1 bei 4 km Auflösung): Der Absorptionskoeffizient adg stellt den Anteil des einfallenden Lichts dar, das sowohl von detritalen Partikeln als auch von farbiger gelöster organischer Substanz (CDOM) absorbiert wird. Gelöste organische Substanz ist ein wichtiger Bestandteil des ozeanischen Kohlenstoffkreislaufs. Es wird auch als Proxy verwendet, um die Auswirkungen von Terrigenous Inputs in Küstengewässern zu bewerten. Συντελεστής απορρόφησης της χρωματισμένης αποτριχωτικής ύλης στα 443nm (adg σε m^-1 σε ανάλυση 4 km): Ο συντελεστής απορρόφησης adg αντιπροσωπεύει το κλάσμα του προσπίπτοντος φωτός που απορροφάται τόσο από τα διακριτικά σωματίδια όσο και από τη χρωματισμένη διαλυμένη οργανική ύλη (CDOM). Η διαλυμένη οργανική ύλη είναι ένα σημαντικό συστατικό του ωκεάνιου κύκλου του άνθρακα. Χρησιμοποιείται επίσης ως υποκατάστατο για την εκτίμηση των επιπτώσεων των εδαφικών εισροών στα παράκτια ύδατα. Współczynnik absorpcji barwnej substancji detrytalnej przy 443 nm (adg w m^-1 przy rozdzielczości 4 km): Współczynnik absorpcji adg reprezentuje ułamek padającego światła pochłanianego zarówno przez cząstki detrytalne, jak i przez kolorowe rozpuszczone substancje organiczne (CDOM). Rozpuszczone materia organiczna jest ważnym składnikiem oceanicznego cyklu węgla. Jest on również wykorzystywany jako wskaźnik zastępczy do oceny wpływu czynników atmosferycznych w wodach przybrzeżnych. Coeficientul de absorbție al materiei detritale colorate la 443nm (adg în m^-1 la o rezoluție de 4 km): Coeficientul de absorbție adg reprezintă fracțiunea de lumină incidentă absorbită atât de particulele detritale, cât și de materia organică colorată dizolvată (CDOM). Materia organică dizolvată este o componentă importantă a ciclului carbonului oceanic. Acesta este, de asemenea, utilizat ca indicator pentru a evalua impactul factorilor de producție terrigeni în apele costiere. Assorbiment Koeffiċjent tal-materja detritali kkulurita f’443nm (adg f’m^-1 b’riżoluzzjoni ta’ 4 km): Il-koeffiċjent ta’ assorbiment adg jirrappreżenta l-frazzjoni ta’ dawl inċidentali assorbit kemm minn partiċelli detritali kif ukoll minn materja organika maħlula kkulurita (CDOM). Il-materja organika maħlula hija komponent importanti taċ-ċiklu tal-karbonju oċeaniku. Tintuża wkoll bħala indikatur biex jiġi vvalutat l-impatt tal-inputs terriġenużi fl-ilmijiet kostali. Coefficiente di assorbimento della materia detritale colorata a 443nm (adg in m^-1 a risoluzione di 4 km): Il coefficiente di assorbimento adg rappresenta la frazione di luce incidente assorbita sia dalle particelle detritali che dalla materia organica disciolta colorata (CDOM). La materia organica disciolta è una componente importante del ciclo del carbonio oceanico. Viene anche utilizzato come proxy per valutare l'impatto degli input terrigeni nelle acque costiere. Coeficiente de absorción de materia detrital de color a 443 nm (adg en m^-1 a 4 km de resolución): El coeficiente de absorción adg representa la fracción de luz incidente absorbida tanto por partículas detritales como por materia orgánica disuelta coloreada (CDOM). La materia orgánica disuelta es un componente importante del ciclo del carbono oceánico. También se utiliza como representante para evaluar el impacto de los insumos territoriales en las aguas costeras. Коефициент на абсорбция на цветна детритална материя при 443nm (adg в m^-1 при разделителна способност 4 km): Коефициентът на поглъщане adg представлява частта от падащата светлина, абсорбирана както от детритните частици, така и от оцветената разтворена органична материя (CDOM). Разтворената органична материя е важен компонент на океанския въглероден цикъл. Той се използва и като заместител за оценка на въздействието на теригенните суровини в крайбрежните води. Coefficient d’absorption de la matière détritique colorée à 443nm (adg en m^-1 à 4 km de résolution): Le coefficient d’absorption adg représente la fraction de lumière incidente absorbée à la fois par les particules détritales et par la matière organique dissoute colorée (CDOM). La matière organique dissoute est une composante importante du cycle du carbone océanique. Il sert également de proxy pour évaluer l’impact des apports terriens dans les eaux côtières. Absorptiecoëfficiënt van gekleurde detritale materie bij 443nm (adg in m^-1 bij 4 km resolutie): De absorptiecoëfficiënt adg vertegenwoordigt de fractie van invallend licht geabsorbeerd door zowel detritale deeltjes als gekleurd opgelost organisch materiaal (CDOM). Opgelost organisch materiaal is een belangrijk onderdeel van de oceanische koolstofcyclus. Het wordt ook gebruikt als volmacht om de impact van terrigeneuze inputs in kustwateren te beoordelen.

This database on marginal, underutilized and contaminated lands (MUC) was compiled based on multiple sources. The sources include: results from related EU and international projects that have already produced valuable tools, maps, and information, which addresses sustainable bioenergy production on MUC lands; data provided by governments as well as public and private stakeholders and; results of remote sensing-based classification of underutilised lands in terms of time series analysis to complete the gaps. The mapping of underutilized lands was conducted on two levels: TIER-1: Pan-European mapping of underutilized lands. More information on this approach can be found here: https://doi.org/10.3390/land10020102 TIER-2: Mapping of underutilized lands in case study areas in six different countries (Germany, Hungary, Italy, Romania, Spain and Ukraine). More detailed delineation of underutilized land patches based on input data with higher spatial and temporal resolution that used within the TIER-1 approach and additional local data. Data sets for the six case study countries published on Zenodo combine TIER-1 and TIER-2 mapping results, e.g TIER-1 results of case study areas are replaced by TIER-2 results. More information on the generation of the contaminated lands data set can be found here https://doi.org/10.3390/en14061566 Terms of use: These data are provided "as is". The authors make no warranty, representation, or guaranty of any type as to the completeness, accuracy, content or fitness for any particular purpose or use of any open data set made available here, nor shall any warranties be implied with respect to the data provided.

This database on marginal, underutilized and contaminated lands (MUC) was compiled based on multiple sources. The sources include: results from related EU and international projects that have already produced valuable tools, maps, and information, which addresses sustainable bioenergy production on MUC lands; data provided by governments as well as public and private stakeholders and; results of remote sensing-based classification of underutilised lands in terms of time series analysis to complete the gaps. The mapping of underutilized lands was conducted on two levels: TIER-1: Pan-European mapping of underutilized lands. More information on this approach can be found here: https://doi.org/10.3390/land10020102 TIER-2: Mapping of underutilized lands in case study areas in six different countries (Germany, Hungary, Italy, Romania, Spain and Ukraine). More detailed delineation of underutilized land patches based on input data with higher spatial and temporal resolution that used within the TIER-1 approach and additional local data. Data sets for the six case study countries published on Zenodo combine TIER-1 and TIER-2 mapping results, e.g TIER-1 results of case study areas are replaced by TIER-2 results. More information on the generation of the contaminated lands data set can be found here https://doi.org/10.3390/en14061566 Terms of use: These data are provided "as is". The authors make no warranty, representation, or guaranty of any type as to the completeness, accuracy, content or fitness for any particular purpose or use of any open data set made available here, nor shall any warranties be implied with respect to the data provided.

Deze dataset bevat de digitale vectoriële versie van alle planelementen - van het type grondvlak - van de provinciale ruimtelijke uitvoeringsplannen, zowel de definitief goedgekeurde als diegene in opmaak. Ook de schorsingen en vernietigingen van de Raad van State zijn hierin verwerkt. Een planelement is een object waarmee de betrokken overheid het toepassingsgebied van (een deel van) de ruimtelijke optie die zij heeft genomen aan de hand van bepaalde stedenbouwkundige voorschriften, weergeeft op het grafische plan, als zij dat nodig acht. Dit object is conceptueel altijd te herleiden tot een vlak, lijn of punt, waaraan een zeker legendesymbool is toegekend. Om de koppeling te garanderen tussen een “locatie” en de “volledige set van voorschriften die gelden op die locatie”, is het nodig een plan te ontrafelen in enkele complementaire geodatalagen in vectorformaat. Zo bekomen we een eenduidige koppeling tussen voorschriftteksten en hun bijhorende planelementen. Grondvlakvoorschriften zullen in de praktijk altijd aan een vlakvormig planelement gekoppeld worden dat op zijn beurt een vlakvullend legendesymbool ontvangt, m.a.w. een dekkende symboliek. Dit soort voorschriften kan zowel een vervangend als een aanvullend karakter vertonen ten opzicht van andere voorschriften, afhankelijk van de geldende decretale marges betreffende subsidiariteit, hiërarchie van de plannen, en de overgang van de plannen van de oude wetgeving naar de nieuwe. Bovenop de grondvlakken van het plan kunnen andersoortige planelementen gelegd worden. Deze worden ingedeeld volgens geometrie: vlakken, lijnen, punten en volgens de geometrische nauwkeurigheid van de planelementen (geometrisch nauwkeurig te bepalen of bij wijze van aanduiding). De planelementen zijn in deze dataset beschikbaar voor zover ze al zijn opgeladen door het betreffende provinciebestuur, dat eigenaar is van de data en verantwoordelijk voor de inhoud. Cet ensemble de données contient la version vectorielle numérique de tous les éléments du plan — de type lignes — des plans d’exécution spatiale provinciaux, qu’ils soient définitivement approuvés ou mis en page. Les suspensions et les annulations du Raad van State sont également prises en compte. Un élément de plan est un objet par lequel l’autorité publique concernée reflète sur le plan graphique, si elle le juge nécessaire, le champ d’application (d’une partie de) l’option spatiale qu’elle a prise sur la base de certaines prescriptions urbanistiques. Sur le plan conceptuel, cet objet est toujours attribuable à un plan, à une ligne ou à un point auquel un certain symbole de légenèse a été attribué. Afin de garantir le lien entre un «site» et un «ensemble complet de règles applicables à ce site», il est nécessaire d’établir un plan en quelques couches géodonnées complémentaires au format vecteur. C’est ainsi que nous obtiendrons un lien univoque entre les textes réglementaires et leurs éléments de planification correspondants. Les exigences liées à des plants linéaires ou ponctuels ne peuvent jamais recouvrir des planchers sous-jacents, contrairement à ceux qui sont liés à des surfaces, en ce sens qu’elles les remplacent. Les éléments du plan sont disponibles dans cet ensemble de données dans la mesure où ils ont déjà été chargés par l’administration provinciale compétente, qui est propriétaire des données et est responsable du contenu. In der Bestandsaufnahme der archäologischen Zonen sind die Gebiete aufgeführt, in denen sich archäologische Rückstände oder Spuren im Boden befinden. Bei der Auswahl der Gebiete spielen zwei Elemente eine wichtige Rolle: es muss ein guter Hinweis auf das Vorhandensein des archäologischen Erbes gegeben sein, und es muss ein guter Hinweis darauf gegeben werden, dass dieses Erbe noch gut erhalten bleibt, um einen archäologischen Wert zu haben. Im Falle der archäologischen Zonen wurden diese beiden wichtigen Elemente bestätigt. This VLOPS map shows the modelled total presumed deposition (TZD) for goose Flanders (in Zeq/ha· year) at 1x1 km². This map was calculated using VLOPS23 (based on OPS 5.1.0.2), the emission figures for NH3 and NOx in 2021 and the meteorological data of 2021. For this map, the results for total deposition of NHx, NOy and SOx were added together with an addition for halogenic acids of 25 Zeq/ha/y for both dry and wet deposition and for organic 170 Zeq/ha/y for dry deposition and 60 Zeq/ha/y for the wet deposition.

Deze dataset bevat de digitale vectoriële versie van alle planelementen - van het type grondvlak - van de provinciale ruimtelijke uitvoeringsplannen, zowel de definitief goedgekeurde als diegene in opmaak. Ook de schorsingen en vernietigingen van de Raad van State zijn hierin verwerkt. Een planelement is een object waarmee de betrokken overheid het toepassingsgebied van (een deel van) de ruimtelijke optie die zij heeft genomen aan de hand van bepaalde stedenbouwkundige voorschriften, weergeeft op het grafische plan, als zij dat nodig acht. Dit object is conceptueel altijd te herleiden tot een vlak, lijn of punt, waaraan een zeker legendesymbool is toegekend. Om de koppeling te garanderen tussen een “locatie” en de “volledige set van voorschriften die gelden op die locatie”, is het nodig een plan te ontrafelen in enkele complementaire geodatalagen in vectorformaat. Zo bekomen we een eenduidige koppeling tussen voorschriftteksten en hun bijhorende planelementen. Grondvlakvoorschriften zullen in de praktijk altijd aan een vlakvormig planelement gekoppeld worden dat op zijn beurt een vlakvullend legendesymbool ontvangt, m.a.w. een dekkende symboliek. Dit soort voorschriften kan zowel een vervangend als een aanvullend karakter vertonen ten opzicht van andere voorschriften, afhankelijk van de geldende decretale marges betreffende subsidiariteit, hiërarchie van de plannen, en de overgang van de plannen van de oude wetgeving naar de nieuwe. Bovenop de grondvlakken van het plan kunnen andersoortige planelementen gelegd worden. Deze worden ingedeeld volgens geometrie: vlakken, lijnen, punten en volgens de geometrische nauwkeurigheid van de planelementen (geometrisch nauwkeurig te bepalen of bij wijze van aanduiding). De planelementen zijn in deze dataset beschikbaar voor zover ze al zijn opgeladen door het betreffende provinciebestuur, dat eigenaar is van de data en verantwoordelijk voor de inhoud. Cet ensemble de données contient la version vectorielle numérique de tous les éléments du plan — de type lignes — des plans d’exécution spatiale provinciaux, qu’ils soient définitivement approuvés ou mis en page. Les suspensions et les annulations du Raad van State sont également prises en compte. Un élément de plan est un objet par lequel l’autorité publique concernée reflète sur le plan graphique, si elle le juge nécessaire, le champ d’application (d’une partie de) l’option spatiale qu’elle a prise sur la base de certaines prescriptions urbanistiques. Sur le plan conceptuel, cet objet est toujours attribuable à un plan, à une ligne ou à un point auquel un certain symbole de légenèse a été attribué. Afin de garantir le lien entre un «site» et un «ensemble complet de règles applicables à ce site», il est nécessaire d’établir un plan en quelques couches géodonnées complémentaires au format vecteur. C’est ainsi que nous obtiendrons un lien univoque entre les textes réglementaires et leurs éléments de planification correspondants. Les exigences liées à des plants linéaires ou ponctuels ne peuvent jamais recouvrir des planchers sous-jacents, contrairement à ceux qui sont liés à des surfaces, en ce sens qu’elles les remplacent. Les éléments du plan sont disponibles dans cet ensemble de données dans la mesure où ils ont déjà été chargés par l’administration provinciale compétente, qui est propriétaire des données et est responsable du contenu. In der Bestandsaufnahme der archäologischen Zonen sind die Gebiete aufgeführt, in denen sich archäologische Rückstände oder Spuren im Boden befinden. Bei der Auswahl der Gebiete spielen zwei Elemente eine wichtige Rolle: es muss ein guter Hinweis auf das Vorhandensein des archäologischen Erbes gegeben sein, und es muss ein guter Hinweis darauf gegeben werden, dass dieses Erbe noch gut erhalten bleibt, um einen archäologischen Wert zu haben. Im Falle der archäologischen Zonen wurden diese beiden wichtigen Elemente bestätigt. This VLOPS map shows the modelled total presumed deposition (TZD) for goose Flanders (in Zeq/ha· year) at 1x1 km². This map was calculated using VLOPS23 (based on OPS 5.1.0.2), the emission figures for NH3 and NOx in 2021 and the meteorological data of 2021. For this map, the results for total deposition of NHx, NOy and SOx were added together with an addition for halogenic acids of 25 Zeq/ha/y for both dry and wet deposition and for organic 170 Zeq/ha/y for dry deposition and 60 Zeq/ha/y for the wet deposition.

The EVIDENT Discrete Choice Experiment seeks to explore the impact of energy related financial literacy, consumer motivation, point-of-sale information and demographic factors on discount rate and willingness to pay for efficient household appliances. Across a series of choice experiments, the impact of factors such as financial information (purchase price, operating cost, salience of financial information), risk reduction (i.e. extended warranty), and financial capacity (i.e. low cost loans) on implicit discount rates for home appliances is examined. Further, the impact of direct rebound rates on efficient appliance selection is examined. The experiment consists of the following sections: 1) demographic information; 2) current home appliance purchasing behaviour; 3) financial literacy; 4) environmental literacy; 5) stated preference experiment consisting of four choice points; 6) discount rates; 7) discrete choice experiment consisting of ten choice points; and 8) questions examining direct rebound rates associated with the novel appliance selected. As noted above, two choice experiments are included within the current use case. The first of these is a stated preference experiment which examines the impact of financial and energy framing on willingness-to-pay for energy efficient appliances. Four choice points are presented within this experiment. Choice 1 presents five identical versions of an appliance which differ only by key feature, and seeks to reduce hypothetical bias across the choice experiment. For example, for a washing machine the key features are cost, capacity, spin speed, quick wash time and pause wash functionality. Choice 2 consists of the participants initial choice (at choice 1) alongside alternatives which differ only in purchase price and energy rating, with purchase price greater for more efficient appliances (I.e. A rated appliances are most expensive; D rated appliances are least expensive). Choice 3 is similar to choice 2, however in this instance operational costs per month are also presented. Again, operational costs are lower for more efficient appliances. Choice 3 is similar to choice 3 however in this instance operational costs per year are presented. The second choice experiment is the DCE which explores the relative impacts of risk reduction (extended warranty), and financial supports (low cost loan, loan term) on willingness to invest in more efficient energy appliances. Attributes were selected based on literature review, focus group analyses, cognitive walk-through and usability analyses. Once final attributes were determined, choice cards were developed using a fractional factorial design. A statistically efficient main-effects design with 10 choice sets was created in R studio using the idefix package. As such, participants are presented with a series of ten choice points, each consisting of two appliances and a ‘no preference’ option. More information on the EVIDENT Discrete Choice Experiment can be found on the public deliverables of the EVIDENT project https://evident-h2020.eu/deliverables/. More specifically, the experiment's theoretical framework and motivation are described in deliverable D1.2 Assessing behavioural biases and financial literacy, in section 5 while the final design is reported in D2.2 Optimised Protocols Design

The EVIDENT Discrete Choice Experiment seeks to explore the impact of energy related financial literacy, consumer motivation, point-of-sale information and demographic factors on discount rate and willingness to pay for efficient household appliances. Across a series of choice experiments, the impact of factors such as financial information (purchase price, operating cost, salience of financial information), risk reduction (i.e. extended warranty), and financial capacity (i.e. low cost loans) on implicit discount rates for home appliances is examined. Further, the impact of direct rebound rates on efficient appliance selection is examined. The experiment consists of the following sections: 1) demographic information; 2) current home appliance purchasing behaviour; 3) financial literacy; 4) environmental literacy; 5) stated preference experiment consisting of four choice points; 6) discount rates; 7) discrete choice experiment consisting of ten choice points; and 8) questions examining direct rebound rates associated with the novel appliance selected. As noted above, two choice experiments are included within the current use case. The first of these is a stated preference experiment which examines the impact of financial and energy framing on willingness-to-pay for energy efficient appliances. Four choice points are presented within this experiment. Choice 1 presents five identical versions of an appliance which differ only by key feature, and seeks to reduce hypothetical bias across the choice experiment. For example, for a washing machine the key features are cost, capacity, spin speed, quick wash time and pause wash functionality. Choice 2 consists of the participants initial choice (at choice 1) alongside alternatives which differ only in purchase price and energy rating, with purchase price greater for more efficient appliances (I.e. A rated appliances are most expensive; D rated appliances are least expensive). Choice 3 is similar to choice 2, however in this instance operational costs per month are also presented. Again, operational costs are lower for more efficient appliances. Choice 3 is similar to choice 3 however in this instance operational costs per year are presented. The second choice experiment is the DCE which explores the relative impacts of risk reduction (extended warranty), and financial supports (low cost loan, loan term) on willingness to invest in more efficient energy appliances. Attributes were selected based on literature review, focus group analyses, cognitive walk-through and usability analyses. Once final attributes were determined, choice cards were developed using a fractional factorial design. A statistically efficient main-effects design with 10 choice sets was created in R studio using the idefix package. As such, participants are presented with a series of ten choice points, each consisting of two appliances and a ‘no preference’ option. More information on the EVIDENT Discrete Choice Experiment can be found on the public deliverables of the EVIDENT project https://evident-h2020.eu/deliverables/. More specifically, the experiment's theoretical framework and motivation are described in deliverable D1.2 Assessing behavioural biases and financial literacy, in section 5 while the final design is reported in D2.2 Optimised Protocols Design

The average price bias choice quasi-experiment is designed to elicit consumers’ perceptions about different pricing schemes. The experiment aims to correlate the findings with participants’ characteristics, potential behavioural biases and the participants’ financial and environmental literacy levels. The experiment consists of five discrete key sections: 1) a section about participant’s demographic data, 2) a small set of questions related to behavioural biases, 3) a set of questions related to financial literacy, 4) a section with questions related to environmental literacy and 5) the choice experiment about price perceptions. Section 5 presents a hypothetical scenario about the participant’s yearly energy consumption and several pricing tariff options. The participant has to choose a pricing tariff they think is the most cost-effective. There are six (1-6) broader cases, each including four subcategories (a-d). The further the case is from the beginning, the more complicated it is. The implementation of the experiment is as follows: Step 1. The participant first receives the following message: “Assuming that your yearly energy consumption is exactly 6,000 kWh, which one of the following tariffs would you choose as the most cost-effective?” Step 2. Each participant will be asked to participate in only 2 cases (all subcategories of each case are included). A case will be randomly chosen from cases 1-3 (simple case) and a second random choice will be made from cases 4-6 (complex case). Thus, all participants will answer a simple and a complicated set of questions. Step 3. The participant receives the first set of choices. If the participant answers correctly, he receives the next subcategory's choice set. If he answers false, he gets the next set of choices within the same subcategory. Thus, as soon the participant answers correctly, he skips the following set of choices and moves to the next subcategory. For a participant answering correctly, this will be a short survey. However, for someone answering wrong, the survey will last longer. More information can be found on the public deliverables of the EVIDENT project https://evident-h2020.eu/deliverables/. More specifically, the experiment's theoretical framework and motivation are described in deliverable D1.2 Assessing behavioural biases and financial literacy, in section 5 while the final design is reported in D3.2 Implementation of preparatory actions for RCT, surveys and serious game.