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NestWatch is a citizen-science project operated by the Cornell Lab of Ornithology. Since 1965, members of the public have been following a standardized protocol for observing and reporting birds' nests in the United States and Canada (and more recently, other countries). This dataset contains raw nest records submitted to NestWatch. The metadata paper associated with this dataset is critical for understanding fields and their contents. The dataset contains millions of nest check observations from > 574,000 nest attempts (as of 2023). Details about NestWatch can be found on the project website: www.nestwatch.org. The dataset is scheduled for updates annually on or about January 31. The most up-to-date data files are on the NestWatch website here: https://nestwatch.org/explore/nestwatch-open-dataset-downloads/. See documentation at "Related links" on this page for further details.

Integrierte Prioritätenkarte der „Klimaregulierung“ zur Verbesserung der „Klimaverordnung“, wie im Bericht beschrieben. Die Rasterkarte ergibt einen Wert, der sich aus der Summe der Werte der zugrunde liegenden Kriterienkarten ergibt, d. h. Wärmeinseleffekt und Kohlenstoffspeicherung. Dieser Betrag wurde erneut auf eine Punktzahl von 1 bis 5 reduziert. Die Bereiche mit einer Höchstpunktzahl von 5 zeigen die größten Dekorationsgewinne im Rahmen des Themas Klimaregulierung. Die städtischen Gebiete sind deutlich sichtbar. Für die Klimaregulierung gibt es klare Prioritäten. Die Bodenhärterung hat erhebliche Auswirkungen auf das Klima, sowohl auf lokaler als auch auf globaler Ebene. Durch die Entfärbung von Böden können wieder Kohlenstoffsenken entstehen. Diese integrierte Klimaregulierungskarte trägt zum Layout der letzten Eintrittskarte für die Haarentfernung bei (https://www.vlaanderen.be/datavindplaats/catalogus/kansenkaart-onthardingswinst) bei. Um den Härtegrad effizient und wirksam zu verringern, ist es wichtig, einen Überblick über die Standorte zu haben, die am wahrscheinlichsten zur Bodenräumung führen. Um zu ermitteln, wo die Enthaarung höchstwahrscheinlich am vielversprechendsten ist, wurde die Karte entwickelt, um die Verwitterungschancen (und den Ausgleichsrahmen) zu verbessern. Aus den „Integrated CleaningPriority Maps“ – einschließlich dieser Klima-Regulierungskarte – geht nach Parametern hervor, ob ein gepflasteter Standort erhebliche oder geringe Auswirkungen auf die Umwelt hat und somit eine hohe oder geringe Priorität bei der Freigabe hat. Weitere Informationen über die Erstellung aller Prioritäts- und Opportunitätskarten und die endgültige Kombination bis zur endgültigen Änderungskarte finden Sie im Abschlussbericht der vom Umweltministerium in Auftrag gegebenen Studie: https://researchportal.be/nl/publicatie/onthardingswinst-afwegingskader-en-kansenkaart-deel-1 Deze dataset bevat de digitale vectoriële versie van alle planelementen - van het type grondvlakken - van de algemene plannen van aanleg. 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 gemeentebestuur, dat eigenaar is van de data en verantwoordelijk voor de inhoud. Carte couvrant le territoire de la «Health Effecten Screening score» (GES) de la qualité de l’air local en Flandre. L’indicateur est basé sur la moyenne annuelle des concentrations de NO2 (dioxyde d’azote) (Vlaamse Milieumaatschappij 2017), modélisée avec la chaîne de modélisation RIO-IFDM-OSPM. Ce polluant a été pris comme base en raison de sa grande diversité spatiale, de son lien étroit avec les émissions locales et de ses effets sur la santé bien documentés. Les concentrations de NO2 ont ensuite été réparties en classes permettant de comprendre les effets potentiels de la pollution atmosphérique due au NO2 sur la santé, à titre de première indication de la qualité de l’air au niveau local, sur la base de la méthodologie néerlandaise «Health Effect Screening» (GES). Il va de soi que d’autres polluants (par exemple, les particules fines ou l’ozone) sont également importants dans la poursuite de l’analyse et de l’évaluation de la qualité de l’air au niveau local. Les classes de GES ont été définies de cette manière: GES 1 = 0-10 µg/m³ moyenne annuelle de NO2 = «bon»; GES 4 = 10-20 µg/m³ moyenne annuelle de NO2 = «modéré»; GES 6 = 20-30 µg/m³ moyenne annuelle de NO2 = «insuffisant», GES 7 = 30-40 µg/m³ moyenne annuelle NO2 = «nettement insuffisant», GES 8 > 40 µg/m³ moyenne annuelle NO2 = «très insuffisant». À partir de GES 6, la valeur des conseils en matière de santé recommandée par l’Agence des soins de santé est dépassée (jusqu’à 20 µg/m³ en moyenne annuelle de NO2), mais des concentrations plus faibles ont également des effets néfastes sur la santé. This dataset contains the digital vector version of all the plan elements – of the line type – of the provincial spatial implementation plans, both the final approved and those in the format. It also includes the suspensions and destruction of the Council of State. A plan element is an object by which the public authority concerned represents the scope of (part of) the spatial option it has taken on the basis of certain urban planning regulations on the graphic plan, if it considers it necessary. This object is conceptually always traceable to a plane, line or point assigned a certain legende symbol. In order to ensure the link between a ‘site’ and the ‘full set of requirements applicable at that location’, it is necessary to unravel a plan in some complementary geodata layers in vector format. This gives us a clear link between the texts of rules and their associated planning elements. Requirements linked to linear or point-shaped plan elements, unlike those linked to planes, can never cover underlying plant elements in the sense that they replace them. The plan elements are available in this dataset to the extent that they have already been loaded by the relevant provincial authority, which owns the data and is responsible for the content.

Πρόκειται για τη συλλογή των γεωμετριών των δασικών περιοχών που βρίσκονται στο έδαφος της περιφέρειας Friuli Venezia Giulia. Οι περισσότερες από αυτές τις περιοχές καταλαμβάνονται από δάση, όπως ορίζονται στον περιφερειακό νόμο για τα δάση (αριθ. 9/2007). Οι γεωμετρίες προέρχονται από δύο διαφορετικές βάσεις δεδομένων: «Τύποι Forestali 1998», που επικαιροποιήθηκαν το 2010 και «Ολοκλήρωση του ΣΓΠ των τύπων δασών Friuli Venezia Giulia» που πραγματοποιήθηκαν το 2011 και επικυρώθηκαν οριστικά το 2013. Is é an bailiúchán de geometries na limistéar foraoise atá suite i gcríoch Réigiún Friuli Venezia Giulia. Tá an chuid is mó de na limistéir sin á n-áitiú ag foraoisí mar a shainítear leis an Dlí Réigiúnach Foraoise (Uimh.9/2007). Tagann na geoiméadrachtaí ó dhá bhunachar sonraí éagsúla: “Cineálacha Forestali 1998”, a tugadh cothrom le dáta in 2010 agus “Comhlánú GIS de Chineálacha Foraoise Friuli Venezia Giulia” a rinneadh in 2011 agus a bailíochtaíodh go cinntitheach in 2013. Es la colección de las geometrías de las zonas forestales ubicadas en el territorio de la región de Friuli Venezia Giulia. La mayor parte de estas zonas están ocupadas por bosques tal como se definen en la Ley Forestal Regional (N.º9/2007). Las geometrías provienen de dos geodatabases diferentes: «Tipos Forestali 1998», actualizado en 2010 y «Completación del SIG de los tipos forestales de Friuli Venezia Giulia», llevado a cabo en 2011 y validado definitivamente en 2013. Il s’agit de la collection des géométries des zones forestières situées sur le territoire de la région du Frioul-Vénétie Giulia. La plupart de ces zones sont occupées par des forêts telles que définies par la loi forestière régionale (No.9/2007). Les géométries proviennent de deux bases de données différentes: «Types Forestali 1998», mis à jour en 2010 et «Achevée du SIG des types forestiers du Frioul Venezia Giulia» réalisée en 2011 et validée définitivement en 2013. Costituisce la raccolta delle geometrie delle aree forestali situate nel territorio della Regione Friuli Venezia Giulia. In buona parte si tratta di superfici occupate da boschi così come definiti dalla vigente legge forestale regionale (n.9/2007). Le geometrie provengono da due diversi geodatabase: "Tipi Forestali 1998", aggiornato nel 2010 e "Completamento del GIS dei Tipi forestali del Friuli Venezia Giulia" realizzato nel 2011 e validato definitivamente nel 2013. Het is de verzameling van de geometrieën van de bosgebieden gelegen op het grondgebied van de regio Friuli Venezia Giulia. De meeste van deze gebieden worden bewoond door bossen zoals gedefinieerd in de Regional Forest Law (nr.9/2007). De geometrieën zijn afkomstig van twee verschillende geodatabases: „Types Forestali 1998”, bijgewerkt in 2010 en „Voltooiing van het GIS van de bossoorten Friuli Venezia Giulia”, uitgevoerd in 2011 en definitief gevalideerd in 2013. Huwa l-ġbir tal-ġeometriji taż-żoni forestali li jinsabu fit-territorju tar-Reġjun ta’ Friuli Venezia Giulia. Il-biċċa l-kbira ta’ dawn iż-żoni huma okkupati minn foresti kif definit mil-Liġi Reġjonali dwar il-Foresti (Nru.9/2007). Il-ġeometriji ġejjin minn żewġ ġeobażijiet tad-data differenti: “Types Forestali 1998”, aġġornata fl-2010 u “Tlestija tal-GIS tat-Tipi ta’ Foresti ta’ Friuli Venezia Giulia” imwettqa fl-2011 u vvalidata b’mod definittiv fl-2013. Este colecția geometriilor zonelor forestiere situate pe teritoriul regiunii Friuli Venezia Giulia. Cele mai multe dintre aceste zone sunt ocupate de păduri, astfel cum sunt definite în Legea regională privind pădurile (nr.9/2007). Geometriile provin din două baze de date geografice diferite: „Tipuri Forestali 1998”, actualizat în 2010 și „Finalizarea GIS a tipurilor de păduri de Friuli Venezia Giulia”, efectuată în 2011 și validată definitiv în 2013. É a coleção das geometrias das áreas florestais localizadas no território da Região Friuli Venezia Giulia. A maior parte destas áreas é ocupada por florestas, tal como definidas na Lei Regional das Florestas (n.º 9/2007). As geometrias vêm de duas bases de dados geométricas diferentes: «Tipos Forestali 1998», atualizado em 2010 e «Conclusão do SIG dos Tipos Florestais de Friuli Venezia Giulia», realizado em 2011 e validado definitivamente em 2013. It is the collection of the geometries of the forest areas located in the territory of the Friuli Venezia Giulia Region. Most of these areas are occupied by forests as defined by the Regional Forest Law (No.9/2007). The geometries come from two different geodatabases: “Types Forestali 1998”, updated in 2010 and “Completion of the GIS of the Forest Types of Friuli Venezia Giulia” carried out in 2011 and validated definitively in 2013.

Although GPS coordinates for current populations are not included due to the potential threat of poaching, the climate variables for each species are provided. The records for extant gecko and skinks mainly came from the New Zealand's Department of Conervation Herpetofauna Database. After updating the taxonomy and cleaning the data to reflect the taxonomy as at 2019 of 43 geckos speceis recognised across seven genera and 61 species in genus, we then thinned the occurrence records at a 1 km resolution for all species then predicted distributions for those with > 15 records using species distribution models. The climate variables for each species were selected among annual mean temperature (bio1), maximum temperature of the warmest month (bio5), minimum temperature of the coldest month (bio6), mean temperature of driest quarter (bio9), mean temperature of wettest quarter (bio10), and precipitation of the driest quarter (bio17). To reduce multicollinearity in species distribution models for each species, we only retained climate variables with a variable inflation factor < 10. The climate variables were from the CHELSA database (https://chelsa-climate.org/), which can be freely downloaded for current and future scenarios. We also provide MCC tree files for the geckos and skinks. The phylogenetic trees have been constructed for NZ geckos by (Nielsen et al., 2011) and for NZ skinks by (Chapple et al., 2009). For geckos we used a subset of the sequences used by Nielsen et al. (2011) for four genes, two nuclear (RAG 1, PDC) and two mitochondrial (16S, ND2 along with flanking tRNA sequences). For skinks, we used sequences from Chapple et al. (2009) for one nuclear (RAG 1) and five mitochondrial (ND2, ND4, Cyt b, 12S and 16S) genes, and additional ND2 sequences for taxa not included in the original phylogeny (Chapple et al., 2011, p. 201). In total we used sequences for all recognised extant taxa (Hitchmough et al., 2016) as at 2019 except for three species of skink (O. aff. inconspicuum “Okuru”, O. robinsoni, and O. aff. inconspicuum “North Otago”) and two species of gecko (M. “Cupola” and W. “Kaikouras”) for which genetic data were not available. Aim: The primary drivers of species and population extirpations have been habitat loss, overexploitation, and invasive species, but human-mediated climate change is expected to be a major driver in future. To minimise biodiversity loss, conservation managers should identify species vulnerable to climate change and prioritise their protection. Here, we estimate climatic suitability for two speciose taxonomic groups, then use phylogenetic analyses to assess vulnerability to climate change. Location: Aotearoa New Zealand (NZ) Taxa: NZ lizards: diplodactylid geckos and eugongylinae skinks Methods: We built correlative species distribution models (SDMs) for NZ geckos and skinks to estimate climatic suitability under current climate and 2070 future-climate scenarios. We then used Bayesian phylogenetic mixed models (BPMMs) to assess vulnerability for both groups with predictor variables for life history traits (body size and activity phase) and current distribution (elevation and latitude). We explored two scenarios: an unlimited dispersal scenario, where projections track climate, and a no-dispersal scenario, where projections are restricted to areas currently identified as suitable. Results: SDMs projected vulnerability to climate change for most modelled lizards. For species’ ranges projected to decline in climatically suitable areas, average decreases were between 42–45% for geckos and 33–91% for skinks, although area did increase or remain stable for a minority of species. For the no-dispersal scenario, the average decrease for geckos was 37–52% and for skinks was 33–52%. Our BPMMs showed phylogenetic signal in climate change vulnerability for both groups, with elevation increasing vulnerability for geckos, and body size reducing vulnerability for skinks. Main conclusions: NZ lizards showed variable vulnerability to climate change, with most species’ ranges predicted to decrease. For species whose suitable climatic space is projected to disappear from within their current range, managed relocation could be considered to establish populations in regions that will be suitable under future climates.

Ekvivalentinės juodosios anglies matavimai Isproje, Italijoje. Măsurători ale carbonului negru echivalent în Ispra, Italia. Вимірювання еквівалентного чорного вуглецю в Іспрі, Італія. Измервания на еквивалентен черен въглерод в Испра, Италия. Merania ekvivalentného čierneho uhlíka v Ispre, Taliansko. Tomhais de charbón dubh coibhéiseach in Ispra na hIodáile. Metingen van equivalente zwarte koolstof in Ispra, Italië. Mediciones de carbono negro equivalente en Ispra, Italia. Measurements of equivalent black carbon in Ispra, Italy. Pomiary równoważnego czarnego węgla w Ispra we Włoszech.

The Scotland Heat Map provides estimates of annual heat demand for almost 3 million properties in Scotland. Demand is given in kilowatt-hours per year (kWh/yr). Property level estimates can be combined to give values for various geographies. Both domestic and non-domestic properties are included. This raster dataset gives the total estimated heat demand of properties within 250m x 250m grid squares covering all of Scotland. Heat demand is calculated by combining data from a number of sources, ensuring that the most appropriate data available is used for each property. The data can be used by local authorities and others to identify or inform opportunities for low carbon heat projects such as district heat networks. The Scotland Heat Map is produced by the Scottish Government. The most recent version is the Scotland Heat Map 2022, which was released to local authorities in November 2023. More information can be found in the documentation available on the Scottish Government website: https://www.gov.scot/publications/scotland-heat-map-documents/

Den här filen innehåller de uppgifter som rapporteras i doi: 10.3389/fenrg.2022.904500 Αυτό το αρχείο περιέχει τα δεδομένα που αναφέρονται στο doi: 10.3389/fenrg.2022.904500 Tämä tiedosto sisältää Doi-tiedostossa ilmoitetut tiedot: 10.3389/fenrg.2022.904500 Цей файл містить дані, про які повідомляється в doi: 10.3389/fenrg.2022.904500 Denne fil indeholder de data, der rapporteres i doi: 10.3389/fenrg.2022.904500 Šioje rinkmenoje pateikiami duomenys, pateikti doi: 10.3389/fenrg.2022.904500 Ez a fájl a doi-ban jelentett adatokat tartalmazza: 10.3389/fenrg.2022.904500 Dit bestand bevat de gegevens gerapporteerd in doi: 10.3389/fenrg.2022.904500 Ce fichier contient les données rapportées en doi: 10.3389/fenrg.2022.904500 Sa chomhad seo tá na sonraí a tuairiscíodh in doi: 10.3389/fenrg.2022.904500

This is the dataset used for running the fourth Blind Test of the FarmConners Wind Farm Flow Control Benchmark. The Blind Test was performed with an extensive dataset gathered while testing a cluster of three scaled wind turbines within a large boundary layer wind tunnel. The experimental dataset has been compared against the predictions provided by 5 different control-oriented wind farm flow models. The resulting comparison is described in the paper "FarmConners Wind Farm Flow Control Benchmark: Blind Test Results, Part 2", by Campagnolo et al, (2023). The dataset consists of: measurements of the flow within the wake shed by one or two machines, as well as measurements of the power, loads (on the rotating shaft and at tower base), and pitch/yaw/torque actuators states of the three scaled machines. The measurements have been performed under a wide range of inflow and machines operating conditions. The time series of the measured data are provided in the format of Matlab structures saved in .mat files. Predictions provided by the models used by the Blind Test participants Matlab scripts used for comparing the experimental dataset and the numerical predictions provided by the Blind Test participants Additional data provided to the Blind Test participants. This includes a FAST model of the scaled wind turbine and the mapping of the inflow of the empty wind tunnel.

This spreadsheet contains the results for the article, "Meeting the costs of decarbonising industry – the potential effects on prices and competitiveness (a case study of the UK)". These include projected impacts for industrial process decarbonisation (costs, fuel use, residual emissions), for key years (2030, 2040, 2050), distributed in the following ways: - Directly allocated to industrial sector in which they occur - Shared between sectors in proportion to the share of GVA of each supply chain - Embodied in final products - Embodied in final products, aggregated to consumption patterns The source of the projections and the method to perform the distribution are described in detail in the associated article. Further relevant documentation may be found in the following resources. Cooper, S. J.G., Allen, S. R., Gailani, A., Norman, J. B., Owen, A., Barrett, J., and Taylor, P., 2024. Meeting the costs of decarbonising industry – The potential effects on prices and competitiveness (a case study of the UK). Energy Policy, 184, 113904. Available from: https://doi.org/10.1016/j.enpol.2023.113904. For details of the methods used, please see the associated journal article.

Στοιχεία σχετικά με: (1) χωρική κατανομή της αστικής μελισσοκομίας (αριθμός κυψελών και αριθμός μελισσοκομικών τοποθεσιών) σε 14 ελβετικές πόλεις (Γενεύη, Λωζάνη, Biel, Neuchatel, Βασιλεία, Ζυρίχη, Chur, Luzern, St. Gallen, Winterthur, Βέρνη, Λουγκάνο, Bellinzona, Thun) για την περίοδο 2012-2018· (2) συγκεντρωτικά δεδομένα για τη μοντελοποίηση της βιωσιμότητας της αστικής μελισσοκομίας. Στοιχεία σχετικά με: (1) χωρική κατανομή της αστικής μελισσοκομίας (αριθμός κυψελών και αριθμός μελισσοκομικών τοποθεσιών) σε 14 ελβετικές πόλεις (Γενεύη, Λωζάνη, Biel, Neuchatel, Βασιλεία, Ζυρίχη, Chur, Luzern, St. Gallen, Winterthur, Βέρνη, Λουγκάνο, Bellinzona, Thun) για την περίοδο 2012-2018· (2) συγκεντρωτικά δεδομένα για τη μοντελοποίηση της βιωσιμότητας της αστικής μελισσοκομίας. Στοιχεία σχετικά με: (1) χωρική κατανομή της αστικής μελισσοκομίας (αριθμός κυψελών και αριθμός μελισσοκομικών τοποθεσιών) σε 14 ελβετικές πόλεις (Γενεύη, Λωζάνη, Biel, Neuchatel, Βασιλεία, Ζυρίχη, Chur, Luzern, St. Gallen, Winterthur, Βέρνη, Λουγκάνο, Bellinzona, Thun) για την περίοδο 2012-2018· (2) συγκεντρωτικά δεδομένα για τη μοντελοποίηση της βιωσιμότητας της αστικής μελισσοκομίας. Données sur: (1) répartition spatiale de l’apiculture urbaine (nombre de ruches et nombre de sites apicoles) dans 14 villes suisses (Genève, Lausanne, Biel, Neuchatel, Bâle, Zurich, Chur, Luzern, St Gallen, Winterthur, Berne, Lugano, Bellinzona, Thun) pour la période 2012-2018; (2) des données agrégées pour modéliser la durabilité de l’apiculture urbaine. Données sur: (1) répartition spatiale de l’apiculture urbaine (nombre de ruches et nombre de sites apicoles) dans 14 villes suisses (Genève, Lausanne, Biel, Neuchatel, Bâle, Zurich, Chur, Luzern, St Gallen, Winterthur, Berne, Lugano, Bellinzona, Thun) pour la période 2012-2018; (2) des données agrégées pour modéliser la durabilité de l’apiculture urbaine. Données sur: (1) répartition spatiale de l’apiculture urbaine (nombre de ruches et nombre de sites apicoles) dans 14 villes suisses (Genève, Lausanne, Biel, Neuchatel, Bâle, Zurich, Chur, Luzern, St Gallen, Winterthur, Berne, Lugano, Bellinzona, Thun) pour la période 2012-2018; (2) des données agrégées pour modéliser la durabilité de l’apiculture urbaine. Údaje o: (1) prostorové rozložení včelařství (počet úlů a počet včelařských lokalit) ve 14 švýcarských městech (Ženeva, Lausanne, Biel, Neuchatel, Basilej, Curych, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) na období 2012–2018; (2) souhrnné údaje pro modelování udržitelnosti včelařství ve městech. Údaje o: (1) prostorové rozložení včelařství (počet úlů a počet včelařských lokalit) ve 14 švýcarských městech (Ženeva, Lausanne, Biel, Neuchatel, Basilej, Curych, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) na období 2012–2018; (2) souhrnné údaje pro modelování udržitelnosti včelařství ve městech. Údaje o: (1) prostorové rozložení včelařství (počet úlů a počet včelařských lokalit) ve 14 švýcarských městech (Ženeva, Lausanne, Biel, Neuchatel, Basilej, Curych, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) na období 2012–2018; (2) souhrnné údaje pro modelování udržitelnosti včelařství ve městech. Data dwar: (1) id-distribuzzjoni spazjali tal-apikultura urbana (l-għadd ta’ doqqajs u n-numru ta’ postijiet tat-trobbija tan-naħal) f’14-il belt Svizzera (Ġinevra, Lausanne, Biel, Neuchatel, Basel, Zurich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) għall-perjodu 2012–2018; (2) dejta aggregata biex timmudella s-sostenibbiltà tat-trobbija urbana tan-naħal. Data dwar: (1) id-distribuzzjoni spazjali tal-apikultura urbana (l-għadd ta’ doqqajs u n-numru ta’ postijiet tat-trobbija tan-naħal) f’14-il belt Svizzera (Ġinevra, Lausanne, Biel, Neuchatel, Basel, Zurich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) għall-perjodu 2012–2018; (2) dejta aggregata biex timmudella s-sostenibbiltà tat-trobbija urbana tan-naħal. Daten zu: (1) räumliche Verteilung der Bienenzucht (Anzahl der Bienenstöcke und Anzahl der Imkereistandorte) in 14 Schweizer Städten (Genf, Lausanne, Biel, Neuchatel, Basel, Zürich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) für den Zeitraum 2012-2018; (2) aggregierte Daten zur Modellierung der Nachhaltigkeit der städtischen Bienenzucht. Daten zu: (1) räumliche Verteilung der Bienenzucht (Anzahl der Bienenstöcke und Anzahl der Imkereistandorte) in 14 Schweizer Städten (Genf, Lausanne, Biel, Neuchatel, Basel, Zürich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) für den Zeitraum 2012-2018; (2) aggregierte Daten zur Modellierung der Nachhaltigkeit der städtischen Bienenzucht. Sonraí maidir le: (1) dáileadh spásúil na beachaireachta uirbí (líon na gcoirceog agus líon na láithreacha beachaireachta) i 14 chathair na hEilvéise (an Ghinéiv, Lausanne, Biel, Neuchatel, Basel, Zurich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) don tréimhse 2012-2018; (2) sonraí comhiomlánaithe chun inbhuanaitheacht na beachaireachta uirbí a shamhaltú. Gegevens over: (1) ruimtelijke verdeling van de stedelijke bijenteelt (aantal bijenkasten en aantal bijenteeltlocaties) in 14 Zwitserse steden (Geneva, Lausanne, Biel, Neuchatel, Bazel, Zürich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) voor de periode 2012-2018; (2) geaggregeerde gegevens om de duurzaamheid van de stedelijke bijenteelt te modelleren. Dane dotyczące: 1) rozmieszczenie przestrzenne pszczelarstwa miejskiego (liczba uli i liczba miejsc pszczelarskich) w 14 miastach Szwajcarii (Genewa, Lozanna, Biel, Neuchatel, Bazylea, Zurych, Chur, Luzern, St. Gallen, Winterthur, Berno, Lugano, Bellinzona, Thun) w latach 2012–2018; 2) dane zagregowane w celu modelowania zrównoważonego rozwoju pszczelarstwa miejskiego. Tiedot seuraavista: 1) kaupunkien mehiläishoidon alueellinen jakautuminen (pesien lukumäärä ja mehiläishoitopaikkojen lukumäärä) 14 Sveitsin kaupungissa (Geneva, Lausanne, Biel, Neuchatel, Basel, Zürich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) vuosina 2012–2018; (2) aggregoidut tiedot kaupunkien mehiläishoidon kestävyyden mallintamiseksi. Datos sobre: (1) distribución espacial de la apicultura urbana (número de colmenas y número de lugares de apicultura) en 14 ciudades suizas (Ginebra, Lausana, Biel, Neuchatel, Basilea, Zúrich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) para el período 2012-2018; (2) datos agregados para modelar la sostenibilidad de la apicultura urbana.