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These data record the results of processing otter trawl catches (OTSB14; Merrett & Marshall, 1980) from the National Oceanography Centre (NOC, UK) long-term study of the Porcupine Abyssal Plain (PAP), including the PAP-Sustained Observatory time-series. The data concern catches recovered during the RRS Charles Darwin Cruise 158 in 2004. Lampitt, R.S. et al. (2010). RRS Charles Darwin Cruise 158, 15-28 Jun 2004, Vigo-Fairlie. Ocean biogeochemistry. Southampton, UK: National Oceanography Centre, Southampton, 53 pp. (National Oceanography Centre Southampton Cruise Report, No. 55).| https://www.bodc.ac.uk/resources/inventories/cruise_inventory/reports/cd158.pdf

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.

Des cartes des ressources en charbon pour l’ensemble du Royaume-Uni ont été produites par la British Geological Survey à la suite d’un travail conjoint avec le ministère du commerce et de l’industrie et la Coal Authority. La carte des ressources charbonnières est une carte de la Grande-Bretagne décrivant l’étendue spatiale des principales ressources charbonnières. La carte montre les zones où le charbon et le lignite sont présents à la surface et aussi où le charbon est enterré en profondeur sous des roches plus jeunes. Les cartes sont destinées à être utilisées pour la mise en valeur des ressources, la politique énergétique, la planification stratégique, l’aménagement du territoire, l’indication des dangers dans les zones minées, l’évaluation de l’environnement et comme aide à l’enseignement. En plus d’une carte générale des ressources de charbon pour la Grande-Bretagne, il existe également pour les six cartes inset: L’Ecosse; A) Nord-Est; Nord-Ouest; Les Pennines orientales; Lancashire, North Wales et West Midlands; Pays de Galles du Sud, Forêt de Dean et Bristol. Disponible sous forme de carte papier, plate ou pliée, auprès de BGS Sales ou en format pdf sur un CD sur demande. Los mapas de recursos de carbón para todo el Reino Unido han sido producidos por el British Geological Survey como resultado del trabajo conjunto con el Departamento de Comercio e Industria y la Autoridad del Carbón. El mapa de recursos del carbón es un mapa de Gran Bretaña que representa la extensión espacial de los principales recursos de carbón. El mapa muestra las áreas donde el carbón y el lignito están presentes en la superficie y también donde el carbón está enterrado a profundidad debajo de rocas más jóvenes. Los mapas están destinados a ser utilizados para el desarrollo de recursos, la política energética, la planificación estratégica, la planificación del uso de la tierra, la indicación de peligros en las zonas minadas, la evaluación del medio ambiente y como ayuda docente. Además de un mapa general de recursos de carbón para Gran Bretaña, los datos también existen para los seis mapas inset: A) Escocia; A) Noreste; A) Noroeste; Pennines orientales; Lancashire, Gales del Norte y West Midlands; Gales del Sur, Bosque de Dean y Bristol. Disponible como un mapa en papel, plano o plegado, de BGS Sales o como pdf en un CD si se solicita. Tá léarscáileanna acmhainní guail don Ríocht Aontaithe ar fad curtha le chéile ag Suirbhéireacht Gheolaíochta na Breataine mar thoradh ar chomhobair leis an Roinn Trádála agus Tionscail agus leis an Údarás Gual. Is Léarscáil de chuid na Breataine é Léarscáil na nAcmhainní Guail ina léirítear fairsinge spásúil na bpríomhacmhainní guail. Taispeánann an léarscáil na limistéir ina bhfuil gual agus lignít ar an dromchla agus ina bhfuil gual curtha go domhain faoi bhun carraigeacha níos óige. Tá sé i gceist go n-úsáidfear na léarscáileanna le haghaidh forbairt acmhainní, polasaí fuinnimh, pleanáil straitéiseach, pleanáil úsáide talún, léiriú guaise i gceantair mhianadóireachta, measúnú comhshaoil agus mar chúnamh teagaisc. Chomh maith le léarscáil ghinearálta d’acmhainní guail le haghaidh sonraí na Breataine, tá sé cinn de léarscáileanna socraithe ann freisin: Albain; An Oirthuaisceart; Siar ó thuaidh; Pennines Thoir; Lancashire, Tuaisceart na Breataine Bige agus an Lár Tíre Thiar; South Wales, Foraoise Dean agus Bristol. Ar fáil mar léarscáil pháipéir, cothrom nó fillte, ó Díolacháin BGS nó mar pdf ar dhlúthdhiosca má iarrtar sin. Le mappe delle risorse di carbone per tutto il Regno Unito sono state prodotte dal British Geological Survey come risultato del lavoro congiunto con il Dipartimento del Commercio e dell'Industria e l'Autorità del carbone. La mappa delle risorse del carbone è una mappa della Gran Bretagna che descrive l'estensione spaziale delle principali risorse di carbone. La mappa mostra le aree in cui il carbone e la lignite sono presenti in superficie e dove il carbone è sepolto in profondità sotto rocce più giovani. Le mappe sono destinate a essere utilizzate per lo sviluppo delle risorse, la politica energetica, la pianificazione strategica, la pianificazione territoriale, l'indicazione del pericolo nelle aree estrattive, la valutazione dell'ambiente e come aiuto didattico. Oltre a una mappa generale delle risorse di carbone per la Gran Bretagna i dati esistono anche per le sei mappe insiemi: La Scozia; Nord-est; Nord-Ovest; East Pennines; Lancashire, Galles del Nord e Midlands occidentali; Galles del Sud, Foresta di Dean e Bristol. Disponibile come carta cartacea, piatta o piegata, da BGS Sales o in pdf su CD su richiesta. Картите на въглищните ресурси за цялото Обединено кралство са изготвени от Британското геоложко проучване в резултат на съвместната работа с Министерството на търговията и промишлеността и Агенцията за въглища. Картата на въглищните ресурси е карта на Великобритания, изобразяваща пространствения обхват на основните въглищни ресурси. Картата показва областите, в които въглищата и лигнитните въглища присъстват на повърхността, а също и където въглищата са погребани на дълбочина под по-младите скали. Картите са предназначени да бъдат използвани за развитие на ресурсите, енергийна политика, стратегическо планиране, планиране на земеползването, посочване на опасностите в минните райони, оценка на околната среда и като помощно средство за преподаване. В допълнение към общата карта на въгледобивните ресурси за Великобритания съществуват и данни за шестте вградени карти: Шотландия; Североизток; Северозападна; Източна Пенини; Lancashire, Северен Уелс и West Midlands; Южен Уелс, гората на Дийн и Бристол. Предлага се като карта на хартиен носител, плосък или сгънат, от BGS Sales или като PDF на CD при поискване. Χάρτες πόρων άνθρακα για το σύνολο του Ηνωμένου Βασιλείου έχουν παραχθεί από τη βρετανική γεωλογική έρευνα ως αποτέλεσμα της συνεργασίας με το Υπουργείο Εμπορίου και Βιομηχανίας και την Αρχή Άνθρακα. Ο Χάρτης Άνθρακα Πόρων είναι ένας χάρτης της Βρετανίας που απεικονίζει τη χωρική έκταση των κύριων πόρων άνθρακα. Ο χάρτης δείχνει τις περιοχές όπου ο άνθρακας και ο λιγνίτης είναι παρόντες στην επιφάνεια και επίσης όπου ο άνθρακας είναι θαμμένος σε βάθος κάτω από νεότερους βράχους. Οι χάρτες προορίζονται να χρησιμοποιηθούν για την ανάπτυξη των πόρων, την ενεργειακή πολιτική, τον στρατηγικό σχεδιασμό, τον χωροταξικό σχεδιασμό, την ένδειξη κινδύνου στις εξορυσσόμενες περιοχές, την εκτίμηση του περιβάλλοντος και ως διδακτικό βοήθημα. Εκτός από ένα γενικό χάρτη των πόρων άνθρακα για τη Βρετανία υπάρχουν επίσης στοιχεία για τους έξι ενθεμένους χάρτες: Η Σκωτία; Βορειοανατολικά· Βορειοδυτικά· Ανατολικές Πενήνες· Lancashire, Βόρεια Ουαλία και West Midlands· Νότια Ουαλία, Δάσος του Ντιν και Μπρίστολ. Διατίθεται ως χάρτινο χάρτη, επίπεδο ή διπλωμένο, από το BGS Sales ή ως pdf σε CD εάν ζητηθεί. Steenkoolvoorraden kaarten voor het hele Verenigd Koninkrijk zijn geproduceerd door de British Geological Survey als gevolg van gezamenlijke werkzaamheden met het Department of Trade and Industry en de Coal Authority. De Kolen Resources Map is een kaart van Groot-Brittannië die de ruimtelijke omvang van de belangrijkste steenkoolbronnen weergeeft. De kaart toont de gebieden waar steenkool en bruinkool aanwezig zijn aan de oppervlakte en ook waar steenkool wordt begraven op diepte onder jongere rotsen. De kaarten zijn bedoeld om te worden gebruikt voor de ontwikkeling van hulpbronnen, energiebeleid, strategische planning, ruimtelijke ordening, de indicatie van gevaar in mijngebieden, milieubeoordeling en als leerhulp. Naast een algemene kaart van steenkoolbronnen voor Groot-Brittannië bestaan er ook gegevens voor de zes insetkaarten: Schotland; Noord-Oost; Noord-West; Oost-Pennines; Lancashire, Noord-Wales en de West Midlands; Zuid-Wales, Forest of Dean en Bristol. Beschikbaar als papieren kaart, plat of gevouwen, bij BGS Sales of als pdf op een CD indien gewenst. Os mapas dos recursos de carvão para todo o Reino Unido foram produzidos pelo British Geological Survey, em resultado de um trabalho conjunto com o Department of Trade and Industry e a Coal Authority. O Mapa dos Recursos do Carvão é um mapa da Grã-Bretanha que descreve a extensão espacial dos principais recursos de carvão. O mapa mostra as áreas onde o carvão e a lenhite estão presentes na superfície e também onde o carvão é enterrado em profundidade sob rochas mais jovens. Os mapas destinam-se a ser utilizados para o desenvolvimento de recursos, a política energética, o planeamento estratégico, o ordenamento do território, a indicação dos perigos nas zonas minadas, a avaliação ambiental e como auxílio pedagógico. Além de um mapa geral dos recursos de carvão para a Grã-Bretanha, também existe para os seis mapas: Escócia; Nordeste; Noroeste; East Pennines; Lancashire, Norte de Gales e West Midlands; South Wales, Forest of Dean and Bristol (em inglês). Disponível como um mapa em papel, plano ou dobrado, a partir de BGS Sales ou como um pdf em um CD, se solicitado. Hărțile resurselor de cărbune pentru întreg Regatul Unit au fost produse de British Geological Survey ca urmare a colaborării cu Departamentul Comerțului și Industriei și Autoritatea pentru Cărbune. Harta resurselor cărbunelui este o hartă a Marii Britanii care descrie întinderea spațială a principalelor resurse de cărbune. Harta arată zonele în care cărbunele și lignitul sunt prezente la suprafață și, de asemenea, unde cărbunele este îngropat la adâncime sub roci mai tinere. Hărțile sunt destinate a fi utilizate pentru dezvoltarea resurselor, politica energetică, planificarea strategică, amenajarea teritoriului, indicarea pericolelor în zonele minate, evaluarea mediului și ca ajutor didactic. În plus față de o hartă generală a resurselor de cărbune pentru Marea Britanie, există, de asemenea, date pentru cele șase hărți insetate: Scoția; Nord-Est; Nord-Vest; Penninele de Est; Lancashire, North Wales și West Midlands; South Wales, Pădurea Dean și Bristol. Disponibil ca o hartă de hârtie, plat sau pliat, de la BGS Vânzări sau ca pdf pe un CD, dacă se solicită. Mapep tar-riżorsi tal-faħam għar-Renju Unit kollu ġew prodotti mill-British Geological Survey bħala riżultat ta’ ħidma konġunta mad-Dipartiment tal-Kummerċ u l-Industrija u l-Awtorità tal-Faħam. Il-Mappa tar-Riżorsi tal-Faħam hija Mappa tal-Gran Brittanja li turi l-firxa spazjali tar-riżorsi prinċipali tal-faħam. Il-mappa turi ż-żoni fejn il-faħam u l-linjite huma preżenti fil-wiċċ kif ukoll fejn il-faħam huwa midfun fil-fond taħt blat iżgħar. Il-mapep huma maħsuba biex jintużaw għall-iżvilupp tar-riżorsi, il-politika dwar l-enerġija, l-ippjanar strateġiku, l-ippjanar tal-użu tal-art, l-indikazzjoni tal-periklu f’żoni tal-minjieri, il-valutazzjoni ambjentali u bħala għajnuna għat-tagħlim. Minbarra mappa ġenerali tar-riżorsi tal-faħam għad-data tal-Gran Brittanja teżisti wkoll għas-sitt mapep tad-dħul: L-Iskozja; Fil-Grigal; Il-Majjistral; Il-Pennini tal-Lvant; Lancashire, North Wales u l-West Midlands; South Wales, Forest ta’ Dekan u Bristol. Disponibbli bħala mappa tal-karta, ċatta jew mitwija, minn BGS Sales jew bħala pdf fuq CD jekk mitlub.

The datasets present collected data aimed at measuring the state of cultural tourism and economic development and resilience of a select set of potential cultural tourism destinations in Europe, as part of the Horizon 2020 funded project SmartCulTour (www.smartcultour.eu). The data is collected on the level of Local Administrative Units (LAUs) for the following municipalities/cities: Spain: Ainsa, Barbastro, Benasque, Graus, Huesca, Jaca, Sariñena the Netherlands: Rotterdam, Delft, Dordrecht, Molenlanden, Barendrecht, Ridderkerk, Zwijndrecht Finland: Utsjoki Italy: Vicenza, Caldogno, Pojana Maggiore, Grumolo delle Abbadesse, Lonigo, Montagna Croatia: Split, Trogir, Kaštela, Solin, Sinj, Dugopolje, Klis Belgium: Dendermonde, Puurs-Sint-Amands, Bornem, Berlare, Aalst, Denderleeuw, Willebroek The data is presented as panel data and available for the following years: 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019. Please consult the metadata on each dataset for an overview of collected indicators and units of measurement.

Description: The eddy covariance technique was used to record continuous, non-invasive measurements of CO2, H2O and energy exchange between the ecosystem and the atmosphere. The measuring system consists of a semi-open path infrared gas analyser LI-7200 (LI-COR, USA), and a CSAT3 Sonic Anemometer (Campbell Scientific, USA) at a measuring height of 52 m over a canopy height of ~25 m. Data were recorded at a frequency of 20 Hz that was treated using the post-processing software EddyPro® (v.7.0.6; www.licor.com/eddypro) to compute fluxes for each 30-minute averaging period. To treat the raw fluxes, primary data processing steps were applied, including spike removal (Vickers, 1997 J Atmos Ocean Technol), coordinate rotation, block averaging detrending of CO2, H2O and sonic temperature, time lag compensation using covariance maximisation detection method, random uncertainty estimation (Finkelstein et al. 2001 Journal of Geophysical Research Atmospheres), computation of turbulent fluxes and mean fluxes, spectral corrections (Moncrieff et al. 1997 J Hydrol Amst) using correction of low-pass filtering effects, planar fit rotation (Wilczak et al. 2001 Boundary Layer Meteorol) and quality flagging policy (Göckede et al. 2006 Boundary Layer Meteorol). Eddy covariance meteorological data from above and below canopy is available at DOI 10.5281/zenodo.3888374. Cells with -9999 represent not enough data collected, which can be regarded as NA. This data has been collected over a heavily logged landscape between 2012 - 2018, please note 2016 was removed from this dataset. Before 2015, the landscape was ~10 years recovering from it's previous round of logging (four times logged). During 2015 the landscape was salvaged logged, removing 75% of tree stand basal area. The first data sheet, named "Raw_data" contains all raw fluxes that have been treated by EddyPro, which have not been filtered or quality controlled. The second sheet, named "Daily_fluxes" contains daily mean fluxes of net ecosystem CO2 exchange (NEE), ecosystem respirationn (Reco) and gross primary productivity and their associated standard errors. Net ecosystem CO2 exchange (NEE) was calculated by adding the estimated CO2 storage flux to the observed CO2 flux. Data was subjecto quality control including the removal of quality flags 4 and 5 (Göckede et al. 2006 Boundary Layer Meteorol) and the application of a mean u* threshold of >0.29 m s-1 to the dataset, as established using the package "REddyProc" (v.1.2; (Wultzer et al. 2019 Biogeosciences)) in based on the Moving Point Method (Reichstein et al. 2005, GCB). Data was subsequently gap filled and partitioned, as descripted within the variable methods of this sheet. This data was part of an analysis of carbon fluxes within three periods of data collection: in 2012 – 2013, which captured the four-times logged ecosystem ~10 years after its previous round of logging, in 2015 during a new round of active salvage logging, and in 2017 – 2018 when the ecosystem was recovery 2-3 years after the salvage logging. Days with large standard errors for Reco (> ± 5 µmol m−2 s−1) were deemed as bad quality and removed from the dataset and we used only days that had four or more observed half-hourly values of NEE. Of the final dataset , 29.5% of the half-hourly values are original observed fluxes, and 70.5% gap-filled. Of the 455 days remaining after all filtering processes were applied, 65 days were during the 10-years recovery phase (2012-2013), 100 during the active salvage logging (2015) and 290 during the 2-3 years recovery from active salvage logging phase (2017-2018). Project: This dataset was collected as part of the following SAFE research project: Changing carbon dioxide and water budgets from deforestation and habitat modification XML metadata: GEMINI compliant metadata for this dataset is available here Files: This consists of 1 file: SAFE_EC_byYear.xlsx SAFE_EC_byYear.xlsx This file contains dataset metadata and 6 data tables: Raw_data_2012_2013 (described in worksheet Raw_data_2012_2013) Description: EddyPro output of eddy covariance data collected at 52m at the top of the flux tower. Number of fields: 105 Number of data rows: 24213 Fields: Location: SAFE flux tower location name, as in the SAFE Gazetteer (Field type: location) date: Date of the end of the averaging period (Field type: date) time: Time of the end of the averaging period (Field type: time) DOY: decimal day of year (Field type: numeric) daytime: Daytime or nightime, 1 = daytime, 0 = nighttime (Field type: numeric) file_records: Number of valid records found in the raw file (or set of raw files) (Field type: numeric) used_records: Number of valid records used for current the averaging period (Field type: numeric) Tau: Corrected momentum flux (Field type: numeric) qc_Tau: Quality flag for momentum flux, Göckede et al., 2006: A system based on 5 quality grades. "0" is best, "5" is worst (Field type: numeric) rand_err_Tau: Random error for momentum flux, if selected (Field type: numeric) H: Corrected sensible heat flux (Field type: numeric) qc_H: Quality flag for sensible heat flux, Göckede et al., 2006: A system based on 5 quality grades. "0" is best, "5" is worst (Field type: numeric) rand_err_H: Random error for momentum flux, if selected (Field type: numeric) LE: Corrected latent heat flux (Field type: numeric) qc_LE: Quality flag of latent heat flux based on Göckede et al., 2006: A system based on 5 quality grades. "0" is best, "5" is worst (Field type: numeric) rand_err_LE: Random error for latent heat flux, if selected (Field type: numeric) co2_flux: CO2 flux (Field type: numeric) qc_co2_flux: Quality flag for CO2 flux, Göckede et al., 2006: A system based on 5 quality grades. "0" is best, "5" is worst (Field type: numeric) rand_err_co2_flux: Random error of CO2 flux (Field type: numeric) h2o_flux: H2O flux (Field type: numeric) qc_h2o_flux: Quality flag of H20 flux, Göckede et al., 2006: A system based on 5 quality grades. "0" is best, "5" is worst (Field type: numeric) rand_err_h2o_flux: Random error of CO2 flux (Field type: numeric) H_strg: Estimate of storage sensible heat flux (Field type: numeric) LE_strg: Estimate of storage latent heat flux (Field type: numeric) co2_strg: Estimate of storage CO2 flux (Field type: numeric) h2o_strg: Estimate of storage H20 flux (Field type: numeric) co2_v.adv: Estimate of vertical advection flux of CO2 (Field type: numeric) h2o_v.adv: Estimate of vertical advection flux of H20 (Field type: numeric) co2_molar_density: Measured or estimated molar density of gas (Field type: numeric) co2_mole_fraction: Measured or estimated mole fraction of gas (Field type: numeric) co2_mixing_ratio: Measured or estimated mixing ratio of gas (Field type: numeric) co2_time_lag: Time lag used to synchronize gas time series (Field type: numeric) co2_def_timelag: Flag: whether the reported time lag is the default (1) or calculated (0) (Field type: numeric) h2o_molar_density: Measured or estimated molar density of gas (Field type: numeric) h2o_mole_fraction: Measured or estimated mole fraction of gas (Field type: numeric) h2o_mixing_ratio: Measured or estimated mixing ratio of gas (Field type: numeric) h2o_time_lag: Time lag used to synchronize gas time series (Field type: numeric) h2o_def_timelag: Flag: whether the reported time lag is the default (1) or calculated (0) (Field type: numeric) sonic_temperature: Mean temperature of ambient air as measured by the anemometer (Field type: numeric) air_temperature: Mean temperature of ambient air, either calculated from high frequency air temperature readings, or estimated from sonic temperature (Field type: numeric) air_pressure: Mean pressure of ambient air, either calculated from high frequency air pressure readings, or estimated based on site altitude (barometric pressure) (Field type: numeric) air_density: Density of ambient air (Field type: numeric) air_heat_capacity: Specific heat at constant pressure of ambient air (Field type: numeric) air_molar_volume: Molar volume of ambient air (Field type: numeric) ET: Evapotranspiration flux (Field type: numeric) water_vapor_density: Ambient mass density of water vapor (Field type: numeric) e: Ambient water vapor partial pressure (Field type: numeric) es: Ambient water vapor partial pressure at saturation (Field type: numeric) specific_humidity: Ambient specific humidity on a mass basis (Field type: numeric) RH: Ambient relative humidity (Field type: numeric) VPD: Ambient water vapor pressure deficit (Field type: numeric) Tdew: Ambient dew point temperature (Field type: numeric) u_unrot: Wind component along the u anemometer axis (Field type: numeric) v_unrot: Wind component along the v anemometer axis (Field type: numeric) w_unrot: Wind component along the w anemometer axis (Field type: numeric) u_rot: Rotated u wind component (mean wind speed) (Field type: numeric) v_rot: Rotated v wind component (should be zero) (Field type: numeric) w_rot: Rotated w wind component (should be zero) (Field type: numeric) wind_speed: Mean wind speed (Field type: numeric) max_wind_speed: Maximum instantaneous wind speed (Field type: numeric) wind_dir: Direction from which the wind blows, with respect to Geographic or Magnetic north (Field type: numeric) yaw: First rotation angle (Field type: numeric) pitch: Second rotation angle (Field type: numeric) u.: Friction velocity (Field type: numeric) TKE: Turbulent kinetic energy (Field type: numeric) L: Monin-Obukhov length (Field type: numeric) X.z.d..L: Monin-Obukhov stability parameter - (z-d)/L (Field type: numeric) bowen_ratio: Sensible heat flux to latent heat flux ratio (Field type: numeric) T.: Scaling temperature (Field type: numeric) model: Model for footprint estimation, 1- Kljun et al. (2004): A crosswind integrated parameterization of footprint estimations obtained with a 3D Lagrangian model by means of a scaling procedure.2 - Kormann and Meixner (2001): A crosswind integrated model based on the solution of the two dimensional advection-diffusion equation given by van Ulden (1978) and others for power-law profiles in wind velocity and eddy diffusivity, 3 - Hsieh et al. (2000): A crosswind integrated model based on the former model of Gash (1986) and on simulations with a Lagrangian stochastic model. (Field type: numeric) x_peak: Along-wind distance providing <1% contribution to turbulent fluxes (Field type: numeric) x_offset: Along-wind distance providing the highest (peak) contribution to turbulent fluxes (Field type: numeric) x_10.: Along-wind distance providing 10% (cumulative) contribution to turbulent fluxes (Field type: numeric) x_30.: Along-wind distance providing 30% (cumulative) contribution to turbulent fluxes (Field type: numeric) x_50.: Along-wind distance providing 50% (cumulative) contribution to turbulent fluxes (Field type: numeric) x_70.: Along-wind distance providing 70% (cumulative) contribution to turbulent fluxes (Field type: numeric) x_90.: Along-wind distance providing 90% (cumulative) contribution to turbulent fluxes (Field type: numeric) un_Tau: Uncorrected momentum flux (Field type: numeric) Tau_scf: Spectral correction factor for momentum flux (Field type: numeric) un_H: Uncorrected sensible heat flux (Field type: numeric) H_scf: Spectral correction factor for sensible heat flux (Field type: numeric) un_LE: Uncorrected latent heat flux (Field type: numeric) LE_scf: Spectral correction factor for latent heat flux (Field type: numeric) un_co2_flux: Uncorrected gas flux (Field type: numeric) co2_scf: Spectral correction factor for gas flux (Field type: numeric) un_h2o_flux: Uncorrected gas flux (Field type: numeric) h2o_scf: Spectral correction factor for gas flux (Field type: numeric) spikes_hf: Hard flags for individual variables for spike test (Field type: numeric) amplitude_resolution_hf: Hard flags for individual variables for amplitude resolution (Field type: numeric) drop_out_hf: Hard flags for individual variables for drop-out test (Field type: numeric) absolute_limits_hf: Hard flags for individual variables for absolute limits (Field type: numeric) skewness_kurtosis_hf: Hard flags for individual variables for skewness and kurtosis (Field type: numeric) skewness_kurtosis_sf: Soft flags for individual variables for skewness and kurtosis test (Field type: numeric) discontinuities_hf: Hard flags for individual variables for discontinuities test (Field type: numeric) discontinuities_sf: Soft flags for individual variables for discontinuities test (Field type: numeric) timelag_hf: Hard flags for gas concentration for time lag test (Field type: numeric) timelag_sf: Soft flags for gas concentration for time lag test (Field type: numeric) attack_angle_hf: Hard flags for gas concentration for time lag test (Field type: numeric) non_steady_wind_hf: Soft flags for gas concentration for time lag test (Field type: numeric) u_spikes: Number of spikes detected and eliminated for rotated u wind component (Field type: numeric) v_spikes: Number of spikes detected and eliminated forrotated v wind component (Field type: numeric) w_spikes: Number of spikes detected and eliminated for rotated w wind component (Field type: numeric) ts_spikes: Number of spikes detected and eliminated for ts variable (Field type: numeric) co2_spikes: Number of spikes detected and eliminated for co2 variable (Field type: numeric) h2o_spikes: Number of spikes detected and eliminated for h2o variable (Field type: numeric) Raw_data_2014 (described in worksheet Raw_data_2014) Description: EddyPro output of eddy covariance data collected at 52m at the top of the flux tower. There is a significant data gap, with some intermittent records available during the daytime, between 17/2/2014-17/06/2014 due to the problems in the power supply. Number of fields: 105 Number of data rows: 17520 Fields: Location: SAFE flux tower location name, as in the SAFE Gazetteer (Field type: location) date: Date of the end of the averaging period (Field type: date) time: Time of the end of the averaging period (Field type: time) DOY: decimal day of year (Field type: numeric) daytime: Daytime or nightime, 1 = daytime, 0 = nighttime (Field type: numeric) file_records: Number of valid records found in the raw file (or set of raw files) (Field type: numeric) used_records: Number of valid records used for current the averaging period (Field type: numeric) Tau: Corrected momentum flux (Field type: numeric) qc_Tau: Quality flag for momentum flux, Göckede et al., 2006: A system based on 5 quality grades. "0" is best, "5" is worst (Field type: numeric) rand_err_Tau: Random error for momentum flux, if selected (Field type: numeric) H: Corrected sensible heat flux (Field type: numeric) qc_H: Quality flag for sensible heat flux, Göckede et al., 2006: A system based on 5 quality grades. "0" is best, "5" is worst (Field type: numeric) rand_err_H: Random error for momentum flux, if selected (Field type: numeric) LE: Corrected latent heat flux (Field type: numeric) qc_LE: Quality flag of latent heat flux based on Göckede et al., 2006: A system based on 5 quality grades. "0" is best, "5" is worst (Field type: numeric) rand_err_LE: Random error for latent heat flux, if selected (Field type: numeric) co2_flux: CO2 flux (Field type: numeric) qc_co2_flux: Quality flag for CO2 flux, Göckede et al., 2006: A system based on 5 quality grades. "0" is best, "5" is worst (Field type: numeric) rand_err_co2_flux: Random error of CO2 flux (Field type: numeric) h2o_flux: H2O flux (Field type: numeric) qc_h2o_flux: Quality flag of H20 flux, Göckede et al., 2006: A system based on 5 quality grades. "0" is best,

Densités de puissance éolienne en watts par mètre carré (W/m²) à 100 m de hauteur. Ces ensembles de données couvrent la superficie terrestre et les eaux côtières de l’Irlande (ex. Irlande du Nord) et émanent d’un projet de cartographie éolienne de 2003.Le projet de 2003 a rapporté que certains experts considéraient la densité moyenne de l’énergie éolienne comme un indicateur plus précis de la ressource éolienne. La densité de puissance éolienne (ρw), qui dépend de la densité de l’air (ρ) et du cube de la vitesse moyenne du vent (V), est calculée par la formule: ρw = 0,5ρV³. Les collections zippées de shapefiles sont disponibles en deux systèmes de référence spatiale ou de coordonnées: 1) Mercator transversal irlandais (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) La Sustainable Energy Authority of Ireland (SEAI) propose les mêmes données dans son Atlas éolien, une carte numérique des ressources éoliennes de l’Irlande (http://gis.seai.ie/wind). Les ensembles de données 2003 de SEAI sur les caractéristiques éoliennes aident les planificateurs, les développeurs et les décideurs de l’énergie éolienne. __Arrière-plan sur les cartes du vent de 2003__ Le projet de cartographie éolienne de 2003 a été achevé par ESB International et TrueWind Solutions pour SEAI (alors SEI). Il a prédit les caractéristiques du vent, à des hauteurs de 50 m, 75 m et 100 m, Spanning onshore et offshore. (Des hauteurs plus grandes de 125 m et 150 m ont ensuite été couvertes dans le projet de cartographie éolienne 2013 de SEAI.) Les cartes SIG résultantes couvrent à terre des grilles de 200 m et au large dans des grilles de 400 m.Généralement, les cartes du vent s’étendent jusqu’à 15 km au large, ou parfois 20 km. À propos de la méthodologie 2003, il a itéré un système MesoMap et un modèle WindMap plus rapide grâce à la réduction des tailles de grille. Mesomap est construit sur MASS (Mesoscale Atmospheric Simulation System), un modèle météorologique numérique qui incarnait la physique fondamentale de l’atmosphère.Les itérations à travers les grilles imbriquées expliquent l’élévation des terres locales, la couverture terrestre et la rugosité. Les itérations finales ont entraîné une augmentation du cisaillement du vent et une réduction de la vitesse du vent près de la surface dans les sites moins venteux. Le rapport sur le projet de cartographie éolienne de 2003 est disponible [ici](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).Densités de puissance éolienne en watts par mètre carré (W/m²) à 100 m de hauteur. Ces ensembles de données couvrent la superficie terrestre et les eaux côtières de l’Irlande (ex. Irlande du Nord) et émanent d’un projet de cartographie éolienne de 2003. Le projet de 2003 a rapporté que certains experts considéraient la densité moyenne de l’énergie éolienne comme un indicateur plus précis de la ressource éolienne. La densité de puissance éolienne (ρw), qui dépend de la densité de l’air (ρ) et du cube de la vitesse moyenne du vent (V), est calculée par la formule: ρw = 0,5ρV³. Les collections zippées de shapefiles sont disponibles en deux systèmes de référence spatiale ou de coordonnées: 1) Mercator transversal irlandais (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) La Sustainable Energy Authority of Ireland (SEAI) propose les mêmes données dans son Atlas éolien, une carte numérique des ressources éoliennes de l’Irlande (http://gis.seai.ie/wind). Les ensembles de données 2003 de SEAI sur les caractéristiques éoliennes aident les planificateurs, les développeurs et les décideurs de l’énergie éolienne. __Arrière-plan sur les cartes du vent de 2003__ Le projet de cartographie éolienne de 2003 a été achevé par ESB International et TrueWind Solutions pour SEAI (alors SEI). Il a prédit les caractéristiques du vent, à des hauteurs de 50 m, 75 m et 100 m, Spanning onshore et offshore. (Des hauteurs plus grandes de 125 m et 150 m ont ensuite été couvertes dans le projet de cartographie éolienne 2013 de SEAI.) Les cartes SIG résultantes couvrent à terre des grilles de 200 m et au large dans des grilles de 400 m. Généralement, les cartes du vent s’étendent jusqu’à 15 km au large, ou parfois 20 km. À propos de la méthodologie 2003, il a itéré un système MesoMap et un modèle WindMap plus rapide grâce à la réduction des tailles de grille. Mesomap est construit sur MASS (Mesoscale Atmospheric Simulation System), un modèle météorologique numérique qui incarnait la physique fondamentale de l’atmosphère. Les itérations à travers les grilles imbriquées expliquent l’élévation des terres locales, la couverture terrestre et la rugosité. Les itérations finales ont entraîné une augmentation du cisaillement du vent et une réduction de la vitesse du vent près de la surface dans les sites moins venteux. Le rapport sur le projet de cartographie éolienne de 2003 est disponible [ici](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf). Πυκνότητα αιολικής ενέργειας σε Watt ανά τετραγωνικό μέτρο (W/m²) σε ύψος 100 m. Τα εν λόγω σύνολα δεδομένων καλύπτουν την χερσαία περιοχή και τα παράκτια ύδατα της Ιρλανδίας (π.χ. Βόρεια Ιρλανδία) και προέρχονται από έργο χαρτογράφησης αιολικής ενέργειας του 2003.Το έργο του 2003 ανέφερε ότι ορισμένοι εμπειρογνώμονες θεωρούσαν τη μέση πυκνότητα αιολικής ενέργειας ως ακριβέστερο δείκτη του αιολικού πόρου. Η πυκνότητα αιολικής ισχύος (ρw), η οποία εξαρτάται από την πυκνότητα του αέρα (ρ) και τον κύβο της μέσης ταχύτητας ανέμου (V), υπολογίζεται με τον τύπο: ρw = 0,5ρV³. Οι συλλογές με φερμουάρ των αρχείων σχήματος είναι διαθέσιμες σε δύο χωρικά συστήματα αναφοράς ή συντεταγμένων: 1) Ιρλανδικός εγκάρσιος Mercator (ITM, EPSG:2157) 2) WGS 84 Mercator Ιστού (EPSG:3857) Η Αρχή Βιώσιμης Ενέργειας της Ιρλανδίας (SEAI) προσφέρει τα ίδια δεδομένα στον Wind Atlas, έναν ψηφιακό χάρτη του πόρου αιολικής ενέργειας της Ιρλανδίας (http://gis.seai.ie/wind). Τα σύνολα δεδομένων της SEAI για τα χαρακτηριστικά του ανέμου του 2003 βοηθούν τους σχεδιαστές αιολικής ενέργειας, τους προγραμματιστές και τους υπεύθυνους χάραξης πολιτικής. __Background στους χάρτες ανέμου του 2003__ Το έργο αιολικής χαρτογράφησης του 2003 ολοκληρώθηκε από την ESB International και TrueWind Solutions για τη SEAI (τότε SEI). Προέβλεψε τα χαρακτηριστικά του ανέμου, σε ύψος 50 m, 75 m και 100 m, Spanning χερσαίων και υπεράκτιων. (Μεγαλύτερα ύψη 125 m και 150 m αργότερα καλύφθηκαν στο έργο χαρτογράφησης αιολικής ενέργειας της SEAI το 2013.) Οι χάρτες GIS που προκύπτουν καλύπτουν χερσαία δίκτυα 200 m και υπεράκτια σε δίκτυα 400 m.Γενικά, οι χάρτες ανέμου εκτείνονται σε 15 χιλιόμετρα ανοικτής θάλασσας, ή περιστασιακά 20 χιλιόμετρα. Σχετικά με τη μεθοδολογία του 2003, επαναλήφθηκε ένα σύστημα MesoMap και ένα ταχύτερο μοντέλο WindMap μέσω της μείωσης των μεγεθών του δικτύου. Το Mesomap είναι χτισμένο στο MASS (Mesoscale Atmospheric Simulation System), ένα αριθμητικό μοντέλο καιρού που ενσαρκώνει τη θεμελιώδη φυσική της ατμόσφαιρας.Οι επαναλήψεις μέσα από τα φωλιασμένα πλέγματα αντιπροσώπευαν την τοπική ανύψωση γης, την κάλυψη της γης και την τραχύτητα. Οι τελικές επαναλήψεις αντιπροσώπευαν την αυξημένη διάτμηση του ανέμου και τη μειωμένη ταχύτητα ανέμου κοντά στην επιφάνεια σε λιγότερο ανεμοστρόβιλους. Η έκθεση έργου αιολικής χαρτογράφησης του 2003 είναι διαθέσιμη [εδώ](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).Πυκνότητα αιολικής ενέργειας σε Watt ανά τετραγωνικό μέτρο (W/m²) σε ύψος 100 m. Τα εν λόγω σύνολα δεδομένων καλύπτουν την χερσαία περιοχή και τα παράκτια ύδατα της Ιρλανδίας (π.χ. Βόρεια Ιρλανδία) και προέρχονται από έργο χαρτογράφησης αιολικής ενέργειας του 2003. Το έργο του 2003 ανέφερε ότι ορισμένοι εμπειρογνώμονες θεωρούσαν τη μέση πυκνότητα αιολικής ενέργειας ως ακριβέστερο δείκτη του αιολικού πόρου. Η πυκνότητα αιολικής ισχύος (ρw), η οποία εξαρτάται από την πυκνότητα του αέρα (ρ) και τον κύβο της μέσης ταχύτητας ανέμου (V), υπολογίζεται με τον τύπο: ρw = 0,5ρV³. Οι συλλογές με φερμουάρ των αρχείων σχήματος είναι διαθέσιμες σε δύο χωρικά συστήματα αναφοράς ή συντεταγμένων: 1) Ιρλανδικός εγκάρσιος Mercator (ITM, EPSG:2157) 2) WGS 84 Mercator Ιστού (EPSG:3857) Η Αρχή Βιώσιμης Ενέργειας της Ιρλανδίας (SEAI) προσφέρει τα ίδια δεδομένα στον Wind Atlas, έναν ψηφιακό χάρτη του πόρου αιολικής ενέργειας της Ιρλανδίας (http://gis.seai.ie/wind). Τα σύνολα δεδομένων της SEAI για τα χαρακτηριστικά του ανέμου του 2003 βοηθούν τους σχεδιαστές αιολικής ενέργειας, τους προγραμματιστές και τους υπεύθυνους χάραξης πολιτικής. __Background στους χάρτες ανέμου του 2003__ Το έργο αιολικής χαρτογράφησης του 2003 ολοκληρώθηκε από την ESB International και TrueWind Solutions για τη SEAI (τότε SEI). Προέβλεψε τα χαρακτηριστικά του ανέμου, σε ύψος 50 m, 75 m και 100 m, Spanning χερσαίων και υπεράκτιων. (Μεγαλύτερα ύψη 125 m και 150 m αργότερα καλύφθηκαν στο έργο χαρτογράφησης αιολικής ενέργειας της SEAI το 2013.) Οι χάρτες GIS που προκύπτουν καλύπτουν χερσαία δίκτυα 200 m και υπεράκτια σε δίκτυα 400 m. Γενικά, οι χάρτες ανέμου εκτείνονται σε 15 χιλιόμετρα ανοικτής θάλασσας, ή περιστασιακά 20 χιλιόμετρα. Σχετικά με τη μεθοδολογία του 2003, επαναλήφθηκε ένα σύστημα MesoMap και ένα ταχύτερο μοντέλο WindMap μέσω της μείωσης των μεγεθών του δικτύου. Το Mesomap είναι χτισμένο στο MASS (Mesoscale Atmospheric Simulation System), ένα αριθμητικό μοντέλο καιρού που ενσαρκώνει τη θεμελιώδη φυσική της ατμόσφαιρας. Οι επαναλήψεις μέσα από τα φωλιασμένα πλέγματα αντιπροσώπευαν την τοπική ανύψωση γης, την κάλυψη της γης και την τραχύτητα. Οι τελικές επαναλήψεις αντιπροσώπευαν την αυξημένη διάτμηση του ανέμου και τη μειωμένη ταχύτητα ανέμου κοντά στην επιφάνεια σε λιγότερο ανεμοστρόβιλους. Η έκθεση έργου αιολικής χαρτογράφησης του 2003 είναι διαθέσιμη [εδώ](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf). Gostota vetra v vatih na kvadratni meter (W/m²) na višini 100 m. Ti nabori podatkov zajemajo kopensko območje in obalne vode Irske (npr. Severna Irska) ter izhajajo iz projekta kartiranja vetra iz leta 2003.Projekt iz leta 2003 je poročal, da nekateri strokovnjaki menijo, da je gostota vetrne energije natančnejši kazalnik vetrne energije. Gostota moči vetra (ρw), ki je odvisna od gostote zraka (ρ) in kocke povprečne hitrosti vetra (V), se izračuna s formulo: ρw = 0,5ρV³. Zbirke datotek z zadrgo so na voljo v dveh prostorskih referenčnih ali koordinatnih sistemih: 1) Irski prečni Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) Organ za trajnostno energijo Irske (SEAI) ponuja enake podatke v svojem vetrnem atlasu, digitalnem zemljevidu irskega vira vetrne energije (http://gis.seai.ie/wind). SEAI-ovi nabori podatkov o značilnostih vetra iz leta 2003 pomagajo načrtovalcem, razvijalcem in oblikovalcem politike. __Background na zemljevidih vetra 2003__ Projekt kartiranja vetra 2003 sta zaključila ESB International in TrueWind Solutions za SEAI (takrat SEI). Napovedovala je značilnosti vetra na višini 50 m, 75 m in 100 m, Spanning na kopnem in na morju. (Večje višine 125 m in 150 m so bile kasneje zajete v projektu SEAI 2013 za kartiranje vetra.) Iz tega izhajajoči zemljevidi GIS pokrivajo kopenska omrežja v mrežah 200 m, priobalna pa v 400 m omrežjih.Na splošno se zemljevidi vetra raztezajo do 15 km na morju ali občasno 20 km. O metodologiji iz leta 2003 je z zmanjšanjem velikosti mrež ponovil sistem MesoMap in hitrejši model WindMap. Mezomap je zgrajen na MASS (Mesoscale Atmospheric Simulation System), numeričnem vremenskem modelu, ki uteleša temeljno fiziko atmosfere.Iteracije skozi ugnezdene mreže so bile posledica lokalne nadmorske višine, pokrovnosti tal in hrapavosti. Končne iteracije so predstavljale povečano striženje vetra in zmanjšano hitrost vetra v bližini površine na manj vetrovnih lokacijah. Poročilo o projektu vetrnih kart za leto 2003 je na voljo [tukaj](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).Gostota vetra v vatih na kvadratni meter (W/m²) na višini 100 m. Ti nabori podatkov zajemajo kopensko območje in obalne vode Irske (npr. Severna Irska) ter izhajajo iz projekta kartiranja vetra iz leta 2003. Projekt iz leta 2003 je poročal, da nekateri strokovnjaki menijo, da je gostota vetrne energije natančnejši kazalnik vetrne energije. Gostota moči vetra (ρw), ki je odvisna od gostote zraka (ρ) in kocke povprečne hitrosti vetra (V), se izračuna s formulo: ρw = 0,5ρV³. Zbirke datotek z zadrgo so na voljo v dveh prostorskih referenčnih ali koordinatnih sistemih: 1) Irski prečni Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) Organ za trajnostno energijo Irske (SEAI) ponuja enake podatke v svojem vetrnem atlasu, digitalnem zemljevidu irskega vira vetrne energije (http://gis.seai.ie/wind). SEAI-ovi nabori podatkov o značilnostih vetra iz leta 2003 pomagajo načrtovalcem, razvijalcem in oblikovalcem politike. __Background na zemljevidih vetra 2003__ Projekt kartiranja vetra 2003 sta zaključila ESB International in TrueWind Solutions za SEAI (takrat SEI). Napovedovala je značilnosti vetra na višini 50 m, 75 m in 100 m, Spanning na kopnem in na morju. (Večje višine 125 m in 150 m so bile kasneje zajete v projektu SEAI 2013 za kartiranje vetra.) Iz tega izhajajoči zemljevidi GIS pokrivajo kopenska omrežja v mrežah 200 m, priobalna pa v 400 m omrežjih. Na splošno se zemljevidi vetra raztezajo do 15 km na morju ali občasno 20 km. O metodologiji iz leta 2003 je z zmanjšanjem velikosti mrež ponovil sistem MesoMap in hitrejši model WindMap. Mezomap je zgrajen na MASS (Mesoscale Atmospheric Simulation System), numeričnem vremenskem modelu, ki uteleša temeljno fiziko atmosfere. Iteracije skozi ugnezdene mreže so bile posledica lokalne nadmorske višine, pokrovnosti tal in hrapavosti. Končne iteracije so predstavljale povečano striženje vetra in zmanjšano hitrost vetra v bližini površine na manj vetrovnih lokacijah. Poročilo o projektu vetrnih kart za leto 2003 je na voljo [tukaj](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf). Densità di potenza eolica in watt per metro quadrato (W/m²) a 100 m di altezza. Questi set di dati coprono l'area terrestre e le acque costiere dell'Irlanda (ad esempio l'Irlanda del Nord) e provengono da un progetto di mappatura del vento del 2003. Il progetto del 2 003 ha riferito che alcuni esperti consideravano la densità di energia eolica media come un indicatore più accurato della risorsa eolica. La densità dell'energia eolica (ρw), che dipende dalla densità dell'aria (ρ) e dal cubo della velocità media del vento (V), è calcolata con la formula:ρw = 0.5ρV³. Le collezioni zippate di shapefiles sono disponibili in due sistemi di riferimento o coordinate spaziali: 1) Mercatore trasversale irlandese (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) La Sustainable Energy Authority of Ireland (SEAI) offre gli stessi dati nel suo Wind Atlas, una mappa digitale della risorsa eolica irlandese (http://gis.seai.ie/wind).I set di dati delle caratteristiche eoliche del SEAI del 2003 aiutano i pianificatori, gli sviluppatori e i responsabili politici dell'energia eolica. __Background sulle mappe dei venti 2003__ Il progetto di mappatura eolica del 2003 è stato completato da ESB International e TrueWind Solutions for SEAI (allora SEI). Ha previsto le caratteristiche del vento, ad altezze di 50 m, 75 m e 100 m, Spanning onshore e offshore. (Alture più grandi di 125 m e 150 m sono state successivamente coperte nel progetto di mappatura dell'eolico del SEAI del 2013.) Le mappe GIS risultanti coprono onshore in 200 m griglie, e offshore in 400 m griglie. Generalmente, le mappe del vento si estendono a 15 km al largo, o occasionalmente a 20 km. Circa la metodologia del 2003, ha iterato un sistema MesoMap e un modello WindMap più veloce attraverso la riduzione delle dimensioni della griglia. Mesomap è costruito su MASS (Mesoscale Atmospheric Simulation System), un modello meteorologico numerico che incarnava la fisica fondamentale dell'atmosfera. Iterazioni attraverso le griglie nidificate rappresentavano l'elevazione del terreno locale, la copertura del terreno e la rugosità. Le iterazioni finali hanno rappresentato un aumento del taglio del vento e una ridotta velocità del vento vicino alla superficie in luoghi meno ventosi. La relazione del progetto di mappatura del vento 2003 è disponibile [qui](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf). Densidades de energía eólica en vatios por metro cuadrado (W/m²) a 100 m de altura. Estos conjuntos de datos cubren la superficie terrestre y las aguas costeras de Irlanda (por ejemplo, Irlanda del Norte) y proceden de un proyecto de cartografía eólica de 2003. El proyecto de 2003 informó que algunos expertos consideraron la densidad media de la energía eólica como un indicador más preciso del recurso eólico. La densidad de potencia eólica (ρw), que depende de la densidad del aire (ρ) y el cubo de la velocidad media del viento (V), se calcula mediante la fórmula: ρw = 0.5ρV³. Las colecciones zipped de shapefiles están disponibles en dos sistemas de referencia o coordenadas espaciales: 1) Mercator transversal irlandés (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) La Autoridad de Energía Sostenible de Irlanda (SEAI) ofrece los mismos datos en su Atlas Eólico, un mapa digital del recurso de energía eólica de Irlanda (http://gis.seai.ie/wind). Los conjuntos de datos de características eólicas de 2003 de SEAI ayudan a los planificadores de energía eólica, desarrolladores y responsables políticos. __Background on 2003 Wind maps__ El proyecto de mapeo eólico 2003 fue completado por ESB International y TrueWind Solutions para SEAI (entonces SEI). Predijo las características del viento, a alturas de 50 m, 75 m y 100 m, Spanning onshore y offshore. (Las alturas más grandes de 125 m y 150 m se cubrieron más tarde en el proyecto de mapeo eólico 2013 de SEAI.) Los mapas SIG resultantes cubren en tierra en 200 m redes, y en alta mar en redes de 400 m. En general, los mapas de viento se extienden a 15 km en alta mar, o ocasionalmente 20 km. Sobre la metodología de 2003, iteró un sistema MesoMap y un modelo WindMap más rápido a través de la reducción de los tamaños de red. Mesomap está construido sobre MASS (Mesoscale Atmospheric Simulation System), un modelo meteorológico numérico que encarna la física fundamental de la atmósfera. Las iteraciones a través de las rejillas anidadas explicaron la elevación de la tierra local, la cobertura del suelo y la rugosidad. Las iteraciones finales explicaron el aumento de la cizalladura del viento y la reducción de la velocidad del viento cerca de la superficie en sitios menos ventosos. El informe del proyecto de mapeo eólico de 2003 está disponible [aquí](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf). Densitajiet tal-enerġija mir-riħ f’watts għal kull metru kwadru (W/m²) f’għoli ta’ 100 m. Dawn is-settijiet ta’ data jkopru ż-żona tal-art u l-ilmijiet kostali tal-Irlanda (eż. l-Irlanda ta’ Fuq), u joħorġu minn proġett ta’ mmappjar tar-riħ tal-2003. Il-proġett tal-2003 rrapporta li xi esperti qiesu d-densità tal-enerġija mir-riħ bħala indikatur aktar preċiż tar-riżorsa tar-riħ. Id-densità tal-qawwa tar-riħ (ρw), li tiddependi fuq id-densità tal-arja (ρ) u l-kubu tal-veloċità medja tar-riħ (V), hija kkalkulata bil-formula: ρw = 0.5ρV³. Kollezzjonijiet biż-żipp ta’ fajls tal-forma huma disponibbli f’żewġ sistemi ta’ referenza ġeografika jew ta’ koordinati: 1) Mercator trasvers Irlandiż (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) L-Awtorità tal-Enerġija Sostenibbli tal-Irlanda (SEAI) toffri l-istess data fl-Atlas tar-Riħ tagħha, mappa diġitali tar-riżorsa tal-enerġija mir-riħ tal-Irlanda (http://gis.seai.ie/wind). Is-settijiet tad-data 2003 tas-SEAI tal-karatteristiċi tar-riħ jgħinu lill-Planners tal-enerġija mir-riħ, lill-iżviluppaturi u lil dawk li jfasslu l-politika. ___Sfond fuq il-mapep tar-riħ ta’ l-2003__ Il-proġett tal-2003 ta’ mmappjar bir-riħ tlesta minn ESB International u TrueWind Solutions għal SEAI (dak iż-żmien SEI). Hija mbassra karatteristiċi tar-riħ, f’għoli ta’ 50 m, 75 m u 100 m, Spanning onshore u offshore. (Għoli akbar ta’ 125 m u 150 m aktar tard ġew koperti fil-proġett tal-immappjar tar-riħ ta’ SEAI tal-2013.) Il-mapep tal-GIS li rriżultaw ikopru fuq l-art fi grilji ta’ 200 m, u lil hinn mill-kosta fi grilji ta’ 400 m. Ġeneralment, il-mapep tar-riħ jestendu għal 15 km lil hinn mill-kosta, jew okkażjonalment 20 km. Dwar il-metodoloġija ta ' l-2003, iterated sistema MesoMap u mudell WindMap aktar mgħaġġel permezz tnaqqis daqsijiet grid. Mesomap hija mibnija fuq MASS (Mesoscale Sistema ta ‘Simulazzjoni Atmosferika), mudell tat-temp numeriku li jinkorpora l-fiżika fundamentali tal-atmosfera. Iterazzjonijiet permezz tal-grids imbejta kienu responsabbli għall-elevazzjoni tal-art lokali, il-kopertura tal-art u l-ħruxija. Iterazzjonijiet finali kienu jammontaw għal żieda fil-pressjoni tar-riħ u naqqsu l-veloċità tar-riħ qrib il-wiċċ f’siti inqas Windy. Ir-Rapport tal-Proġett tal-Immappjar tar-Riħ tal-2003 huwa disponibbli [hawnhekk](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf). Densități ale energiei eoliene în wați pe metru pătrat (W/m²) la o înălțime de 100 m. Aceste seturi de date acoperă zona terestră și apele de coastă ale Irlandei (ex. Irlanda de Nord) și provin dintr-un proiect de cartografiere a vântului din 2003.Proiectul din 2003 a raportat că unii experți au considerat densitatea energiei eoliene ca un indicator mai precis al resursei eoliene. Densitatea energiei eoliene (ρw), care depinde de densitatea aerului (ρ) și de cubul vitezei medii a vântului (V), se calculează prin formula: ρw = 0,5ρV³. Colecțiile cu fermoar de fișe de formă sunt disponibile în două sisteme de referință sau de coordonate spațiale: 1) Mercator transversal irlandez (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) Autoritatea pentru Energie Durabilă din Irlanda (SEAI) oferă aceleași date în Atlasul său Wind, o hartă digitală a resursei de energie eoliană a Irlandei (http://gis.seai.ie/wind). Seturile de date SEAI din 2003 privind caracteristicile eoliene ajută planificatorii de energie eoliană, dezvoltatorii și factorii de decizie politică. __Background pe hărțile vântului din 2003__ Proiectul de cartografiere a vântului din 2003 a fost finalizat de ESB International și TrueWind Solutions pentru SEAI (atunci SEI). Acesta a prezis caracteristicile vântului, la înălțimi de 50 m, 75 m și 100 m, Spanning onshore și offshore. (Înălțimi mai mari de 125 m și 150 m au fost ulterior acoperite în proiectul SEAI 2013 de cartografiere a vântului.) Hărțile GIS rezultate acoperă pe uscat în rețele de 200 m și offshore în rețele de 400 m. În general, hărțile vântului se extind la 15 km în larg sau, ocazional, la 20 km. Despre metodologia din 2003, a iterat un sistem MesoMap și un model mai rapid WindMap prin reducerea dimensiunilor grilei. Mesomap este construit pe MASS (Mesoscale Atmospheric Simulation System), un model meteorologic numeric care a întruchipat fizica fundamentală a atmosferei. Iterațiile prin grilele imbricate reprezentau altitudinea terenurilor locale, acoperirea terenului și rugozitatea. Iterațiile finale au reprezentat creșterea forfecării vântului și reducerea vitezei vântului aproape de suprafață la mai puține locații Windy. Raportul din 2003 privind proiectul de cartografiere a vântului este disponibil [aici](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf). Densidades de potência eólica em watts por metro quadrado (W/m²) a 100 m de altura. Estes conjuntos de dados abrangem a área terrestre e as águas costeiras da Irlanda (ex. Irlanda do Norte) e emanam de um projeto de cartografia eólica de 2003. O projeto de 2003 informou que alguns especialistas consideraram a densidade média da energia eólica como um indicador mais preciso do recurso eólico. A densidade da potência do vento (ρw), que depende da densidade do ar (ρ) e do cubo da velocidade média do vento (V), é calculada pela fórmula:ρw = 0,5ρV³. Coleções zipadas de shapefiles estão disponíveis em dois sistemas de referência espacial ou de coordenadas: 1) Mercator transversal irlandês (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) A Autoridade para a Energia Sustentável da Irlanda (SEAI) oferece os mesmos dados no seu Atlas Eólico, um mapa digital do recurso eólico irlandês (http://gis.seai.ie/wind).Os conjuntos de dados de características eólicas da SEAI de 2003 ajudam os planejadores, desenvolvedores e formuladores de políticas de energia eólica. __Background on 2003 mapas de vento__ O projeto de mapeamento eólico de 2003 foi concluído pela ESB International e TrueWind Solutions para SEAI (então SEI). Ele previu características do vento, a alturas de 50 m, 75 m e 100 m, Spanning onshore e offshore. (Alturas maiores de 125 m e 150 m foram mais tarde cobertas pelo projeto de mapeamento eólico de 2013 da SEAI.) Os mapas de GIS resultantes cobrem onshore em redes de 200 m, e offshore em grades de 400 m. Geralmente, os mapas de vento estendem-se até 15 km ao largo, ou ocasionalmente 20 km. Sobre a metodologia de 2003, iterou um sistema MesoMap e um modelo WindMap mais rápido através da redução do tamanho das grades. MesoMap é construído sobre MASS (Mesoescala Sistema de Simulação Atmosférica), um modelo meteorológico numérico que encarna a física fundamental da atmosfera. Iterações através das grades aninhadas foram responsáveis pela elevação do solo local, cobertura do solo e rugosidade. As iterações finais foram responsáveis pelo aumento do cisalhamento do vento e pela redução da velocidade do vento perto da superfície em menos locais de Windy. O relatório de 2003 do projeto de mapeamento eólico está disponível [aqui](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf). Плътност на вятърната енергия във ватове на квадратен метър (W/m²) при височина 100 m. Тези набори от данни обхващат сухоземната зона и крайбрежните води на Ирландия (напр. Северна Ирландия) и произхождат от проект за картографиране на вятъра от 2003 г. Проектът от 2003 г. докладва, че някои експерти разглеждат средната плътност на вятърната енергия като по-точен показател за вятърния ресурс. Плътността на вятъра (ρw), която зависи от плътността на въздуха (ρ) и куба на средната скорост на вятъра (V), се изчислява по формула: ρw = 0,5ρV³. Колекциите с цип от фишове се предлагат в две пространствени референтни или координатни системи: 1) Ирландски напречен Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) Органът за устойчива енергия на Ирландия (SEAI) предлага същите данни в своя Wind Atlas, цифрова карта на ирландския ветроенергиен ресурс (http://gis.seai.ie/wind). Наборите от данни на SEAI за характеристиките на вятъра от 2003 г. подпомагат планиращите вятърна енергия, разработчиците и политиците. __Background на вятърните карти от 2003 г.__ Проектът за картографиране на вятъра от 2003 г. е завършен от ESB International и TrueWind Solutions за SEAI (тогава SEI). Той прогнозира характеристиките на вятъра на височина 50 m, 75 m и 100 m, Spanning на сушата и в морето. (По-големи височини от 125 m и 150 m по-късно са обхванати в проекта на SEAI за 2013 г. за определяне на ветрогенериращите инсталации.) Получените ГИС карти обхващат на сушата 200 m мрежи, а в морето — 400 m мрежи. Обикновено картите на вятъра се простират до 15 км в морето, а понякога и до 20 км. За методологията от 2003 г., той итерира система MesoMap и по-бърз WindMap модел чрез намаляване на размерите на мрежата. Мезомап е изграден върху MASS (Mesoscale Атмосферна симулационна система), цифров модел на времето, който въплъщава фундаменталната физика на атмосферата. Итерацията чрез вложените решетки отчита местната надморска височина, земната покривка и грапавостта. Окончателните повторения са довели до увеличаване на срязването на вятъра и намаляване на скоростта на вятъра в близост до повърхността при по-малко ветровити обекти. Докладът за проекта за ветровете от 2003 г. е на разположение [тук] (https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf). Windkraftdichten in Watt pro Quadratkilometer (W/m²) auf 100 m Höhe. Diese Datensätze decken das Landgebiet und die Küstengewässer Irlands (z. B. Nordirland) ab und stammen aus einem Windkartierungsprojekt von 2003. Das 2003-Projekt berichtete, dass einige Experten die mittlere Windenergiedichte als genaueren Indikator für die Windressourcen betrachteten. Die Windleistungsdichte (ρw), die von der Luftdichte (ρ) und dem Würfel der mittleren Windgeschwindigkeit (V) abhängt, wird nach Formel berechnet: εw = 0,5 αV³. Zipped-Sammlungen von Shapefiles sind in zwei räumlichen Referenz- oder Koordinatensystemen erhältlich: 1) Irish transverse Mercator (ITM, EPSG:2157) 2) WGS 84 Web Mercator (EPSG:3857) Die Sustainable Energy Authority of Ireland (SEAI) bietet die gleichen Daten in ihrem Windatlas, einer digitalen Karte der irischen Windenergieressource (http://gis.seai.ie/wind). SEAIs Datensätze zu Windeigenschaften aus dem Jahr 2003 unterstützen Windenergie-Planer, Entwickler und politische Entscheidungsträger. __Hintergrund auf Windkarten 2003__ Das Windmapping-Projekt 2003 wurde von ESB International und TrueWind Solutions for SEAI (damals SEI) abgeschlossen. Es prognostizierte Windeigenschaften in Höhen von 50 m, 75 m und 100 m, Spanning onshore und offshore. (Größere Höhen von 125 m und 150 m wurden später im Windmapping-Projekt 2013 der SEAI abgedeckt.) Die daraus resultierenden GIS-Karten decken Onshore in 200 m Netzen und Offshore in 400 m Netzen ab. Im Allgemeinen erstrecken sich Windkarten auf 15 km Offshore oder gelegentlich 20 km. Über die 2003-Methodik iterierte es ein MesoMap-System und ein schnelleres WindMap-Modell durch Reduzierung der Netzgrößen. Mesomap basiert auf MASS (Mesoscale Atmospheric Simulation System), einem numerischen Wettermodell, das die fundamentale Physik der Atmosphäre verkörperte. Iterationen durch die verschachtelten Gitter entfielen auf lokale Landhöhe, Landbedeckung und Rauheit. Die letzten Iterationen führten zu einer erhöhten Windscherung und reduzierten oberflächennahen Windgeschwindigkeiten an weniger Windy-Standorten. Der Windmapping-Projektbericht 2003 ist verfügbar [hier](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).

Registro de la propiedad de pozos geotérmicos Поземлен регистър на геотермалните кладенци Fastighetsregister över geotermiska brunnar Geotermiliste puurkaevude kinnistusregister Земельний реєстр геотермальних свердловин Reġistru tal-artijiet tal-bjar ġeotermali Registre foncier des puits géothermiques Katastr nemovitostí geotermálních studní Matrikelregister over geotermiske brønde Clár talún de thoibreacha geoiteirmeach

The IDEAL Household Energy Dataset comprises data from 255 UK homes. Alongside electric and gas data from each home the corpus contains individual room temperature and humidity readings and temperature readings from the boiler. For 39 of the 255 homes more detailed data is available, including individual electrical appliance use data, and data on individual radiators. Sensor data is augmented by anonymised survey data and metadata including occupant demographics, self-reported energy awareness and attitudes, and building, room and appliance characteristics. The 00README.txt download summarizes the contents of the other files. documentation.zip - dataset documentation; metadata_and_surveys.zip - information about participating households and responses to surveys that were taken; coding.zip - example code for working with the dataset in Python; household_sensors.zip - Household-level sensor data; room_and_appliance_sensors.zip - Room and appliance level sensor data; auxiliary.zip - Other sensor data.