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Productividad del agua (producción primaria, pp en gCarbon.m-2.day-1 a 4 km de resolución): La producción primaria representa la cantidad de carbono orgánico producido a través de la fotosíntesis del fitoplancton. Es un elemento crítico del presupuesto de carbono de la Tierra y de la red alimentaria marina. La producción primaria integrada en profundidad se modela a partir de la concentración de biomasa de fitoplancton basada en satélites y el PAR. Waterproductiviteit (primaire productie, pp in gCarbon.m-2.day-1 bij een resolutie van 4 km): De primaire productie vertegenwoordigt de hoeveelheid organische koolstof die wordt geproduceerd door middel van fytoplanktonfotosynthese. Het is een cruciaal element van het koolstofbudget van de aarde en het mariene voedselweb. De diepgeïntegreerde primaire productie wordt gemodelleerd van de satellietgebaseerde fytoplanktonbiomassaconcentratie en PAR. Il-produttività tal-ilma (produzzjoni primarja, pp f’gCarbon.m-2.day-1 b’riżoluzzjoni ta’ 4 km): Il-produzzjoni primarja tirrappreżenta l-ammont ta’ karbonju organiku prodott permezz tal-fotosinteżi tal-fitoplankton. Huwa element kritiku tal-baġit tal-karbonju tad-Dinja u tax-xibka tal-ikel tal-baħar. Il-produzzjoni primarja integrata fil-fond hija mmudellata mill-konċentrazzjoni tal-bijomassa tal-fitoplankton ibbażata fuq is-satellita u PAR. Productivité de l’eau (production primaire, pp dans gCarbon.m-2.day-1 à une résolution de 4 km): La production primaire représente la quantité de carbone organique produite par la photosynthèse phytoplancton. C’est un élément essentiel du budget carbone de la Terre et du réseau alimentaire marin. La production primaire intégrée en profondeur est modélisée à partir de la concentration de biomasse du phytoplancton par satellite et du PAR. Производителност на водата (първично производство, pp в gCarbon.m-2.day-1 при разделителна способност 4 km): Първичното производство представлява количеството органичен въглерод, произведен чрез фотосинтеза на фитопланктона. Това е критичен елемент от въглеродния бюджет на Земята и морската хранителна мрежа. Дълбочинно интегрирано първично производство е моделирано от сателитната концентрация на фитопланктоновата биомаса и PAR. Παραγωγικότητα του νερού (πρωτογενής παραγωγή, pp σε gCarbon.m-2.ημέρα-1 σε ανάλυση 4 km): Η πρωτογενής παραγωγή αντιπροσωπεύει την ποσότητα οργανικού άνθρακα που παράγεται μέσω φωτοσύνθεσης φυτοπλαγκτού. Είναι ένα κρίσιμο στοιχείο του προϋπολογισμού άνθρακα της Γης και του θαλάσσιου ιστού τροφίμων. Η ενσωματωμένη σε βάθος πρωτογενής παραγωγή διαμορφώνεται με βάση τη συγκέντρωση βιομάζας φυτοπλαγκτού μέσω δορυφόρου και την PAR. Produttività dell'acqua (produzione primaria, pp in gCarbon.m-2.day-1 a risoluzione 4 km): La produzione primaria rappresenta la quantità di carbonio organico prodotto attraverso la fotosintesi del fitoplancton. È un elemento critico del bilancio del carbonio della Terra e della rete alimentare marina. La produzione primaria integrata in profondità è modellata dalla concentrazione satellitare di biomassa di fitoplancton e PAR. Wasserproduktivität (Primärproduktion, pp in gCarbon.m-2.day-1 bei 4 km Auflösung): Die Primärproduktion repräsentiert die Menge an organischem Kohlenstoff, der durch Phytoplankton-Photosynthese erzeugt wird. Es ist ein kritisches Element des CO2-Budgets der Erde und des marinen Nahrungsnetzes. Die tiefenintegrierte Primärproduktion wird aus der satellitengestützten Phytoplankton-Biomasse-Konzentration und PAR modelliert. Produtividade da água (produção primária, pp em gCarbon.m-2.day-1 com resolução de 4 km): A produção primária representa a quantidade de carbono orgânico produzido através da fotossíntese de fitoplâncton. É um elemento crítico do orçamento de carbono da Terra e da rede alimentar marinha. A produção primária integrada em profundidade é modelada a partir da concentração de biomassa de fitoplâncton por satélite e PAR. Продуктивність води (первинне виробництво, pp в gCarbon.m-2.day-1 при роздільній здатності 4км): Первинне виробництво являє собою кількість органічного вуглецю, отриманого шляхом фотосинтезу фітопланктону. Це важливий елемент вуглецевого бюджету Землі і морської продовольчої мережі. Глибина інтегрованого первинного виробництва моделюється з концентрації біомаси на основі супутника фітопланктону та PAR.

Średnia miesięczna temperatura powierzchni morza (w stopniach C przy rozdzielczości 4 km) pochodząca z czujnika PATHFINDER (dane satelitarnej teledetekcji barwy oceanu): Temperatura powierzchni morza to temperatura wody blisko powierzchni morza. SST jest standardowym produktem z satelitarnych czujników termicznych na podczerwień oraz czujników optycznych uzupełnionych pasmami podczerwieni. Średnia miesięczna temperatura powierzchni morza (w stopniach C przy rozdzielczości 4 km) pochodząca z czujnika PATHFINDER (dane satelitarnej teledetekcji barwy oceanu): Temperatura powierzchni morza to temperatura wody blisko powierzchni morza. SST jest standardowym produktem z satelitarnych czujników termicznych na podczerwień oraz czujników optycznych uzupełnionych pasmami podczerwieni. Température moyenne mensuelle de la surface de la mer (en degrés C à une résolution de 4 km) dérivée du capteur PATHFINDER (Télédétection satellite de la couleur de l’océan): La température de la surface de la mer est la température de l’eau près de la surface de la mer. SST est un produit standard à partir de capteurs infrarouges thermiques satellitaires, et de capteurs optiques complétés par des bandes infrarouges. Μηνιαία μέση θερμοκρασία επιφάνειας της θάλασσας (σε βαθμό-C σε ανάλυση 4 km) προερχόμενη από τον αισθητήρα PATHFINDER (Δορυφορικά δεδομένα χρώματος Ωκεανού τηλεπισκόπησης): Η θερμοκρασία επιφάνειας της θάλασσας είναι η θερμοκρασία του νερού κοντά στην επιφάνεια της θάλασσας. Το SST είναι ένα πρότυπο προϊόν από δορυφορικούς θερμικούς υπέρυθρους αισθητήρες και οπτικούς αισθητήρες που συμπληρώνονται με υπέρυθρες ζώνες. Temperatura media mensual de la superficie del mar (en grado C a una resolución de 4 km) derivada del sensor PATHFINDER (datos de color del océano de teledetección por satélite): La temperatura de la superficie del mar es la temperatura del agua cerca de la superficie del mar. SST es un producto estándar de sensores infrarrojos térmicos basados en satélites, y sensores ópticos complementados con bandas infrarrojas. Месечна средна температура на морската повърхност (в градус-C при разделителна способност 4 km), получена от сензора PATHFINDER (Сателитна дистанционна сензорна информация за цветовете на океана): Температурата на морската повърхност е температурата на водата в близост до морската повърхност. SST е стандартен продукт от сателитни термоинфрачервени сензори и оптични сензори, допълнени с инфрачервени ленти. Meánteocht mhíosúil dhromchla na farraige (i gcéim-C ag taifeach 4 km) a dhíorthaítear ón mbraiteoir PATHFINDER (sonraí cianbhraiteachta satailíte maidir le dath an Aigéin): Is é teocht dhromchla na farraige teocht an uisce gar do dhromchla na farraige. Is táirge caighdeánach é SST ó bhraiteoirí infridhearg teirmeacha atá bunaithe ar shatailítí, agus braiteoirí optúla arna gcomhlánú le bandaí infridhearg. Mėnesio vidutinė jūros paviršiaus temperatūra (C laipsniais esant 4 km skyrai), gauta iš PATHFINDER jutiklio (palydovinio nuotolinio stebėjimo vandenyno spalvų duomenys): Jūros paviršiaus temperatūra yra vandens temperatūra arti jūros paviršiaus. SST yra standartinis produktas iš palydovinių šiluminių infraraudonųjų spindulių jutiklių ir optinių jutiklių, papildytų infraraudonųjų spindulių juostomis. It-temperatura medja fix-xahar tas-superfiċje tal-baħar (fi grad-C b’riżoluzzjoni ta’ 4 km) derivata mis-sensur PATHFINDER (data tal-kulur tal-Oċean tat-telerilevament bis-satellita): It-temperatura tal-wiċċ tal-baħar hija t-temperatura tal-ilma qrib wiċċ il-baħar. L-SST huwa prodott standard minn sensuri infraħomor termali bbażati fuq is-satellita, u sensuri ottiċi kumplimentati b’faxex infra-aħmar. Temperatura media mensile della superficie del mare (in grado C a risoluzione di 4 km) derivata dal sensore PATHFINDER (Satellite telerilevamento dati del colore dell'oceano): La temperatura superficiale del mare è la temperatura dell'acqua vicino alla superficie del mare. SST è un prodotto standard da sensori termici a infrarossi satellitari e sensori ottici integrati con bande a infrarossi. Monatliche mittlere Meeresoberflächentemperatur (in Grad-C bei 4 km Auflösung), abgeleitet vom PATHFINDER-Sensor (Satellitenfernerkundung Ozeanfarbdaten): Meeresoberflächentemperatur ist die Temperatur des Wassers in der Nähe der Meeresoberfläche. SST ist ein Standardprodukt von satellitengestützten thermischen Infrarotsensoren und optischen Sensoren, die durch Infrarotbänder ergänzt werden.

The datasets contain hourly capacity factors for a PV plant with 394 kWp capacity and a windpower facility with 800 kWp capacity. The demand profile provided contains houlrly consumption data (kWh) of Auroville. All these datasets have been used to generate the results that can be found in D6.1 and D6.2.

Αυτή η μελέτη διερευνά την άμεση σχέση μεταξύ ενός δείκτη βιομάζας μεσοζοζοπλαγκτού, που προέρχεται από την έρευνα Continuous Plankton Recorder και των δορυφορικών μετωπικών χαρακτηριστικών παραγωγικότητας στον Βόρειο Ατλαντικό. Η ποιότητα του ημερήσιου ενδιαιτήματος σίτισης για τα συνηθέστερα είδη μεσοζοπλαγκτού σχετίζεται με την οριζόντια χλωροφύλλη — μια κλίση που προέρχεται από δορυφορικούς αισθητήρες χρώματος των ωκεανών. ΠΕΡΙΣΣΟΤΕΡΕΣ ΠΛΗΡΟΦΟΡΙΕΣ: https://fishreg.jrc.ec.europa.eu/fish-habitat, δημοσίευση που αξιολογήθηκε από ομοτίμους: https://www.nature.com/articles/s41598-019-41212-2 Diese Studie untersucht den direkten Zusammenhang zwischen einem Index von Mesozooplankton-Biomasse, abgeleitet aus der Continuous Plankton Recorder-Vermessung und satellitengestützten Produktivitätsfrontmerkmalen im Nordatlantik. Die Qualität des täglichen Futterlebensraums für die häufigsten Arten von Mesozooplankton hängt mit dem horizontalen Chlorophyll zusammen – einem Gradienten, der von Satellitensensoren mit Meeresfarbe abgeleitet wird. Weitere Informationen: https://fishreg.jrc.ec.europa.eu/fish-habitat, Peer-reviewed Publikation: https://www.nature.com/articles/s41598-019-41212-2 Dan l-istudju jinvestiga l-assoċjazzjoni diretta bejn indiċi tal-bijomassa mesozooplankton, derivat mill-istħarriġ Plankton Recorder Kontinwu u karatteristiċi frontali tal-produttività derivati mis-satellita fl-Atlantiku tat-Tramuntana. Il-kwalità tal-ħabitat tal-għalf ta’ kuljum għall-ispeċijiet l-aktar komuni ta’ mesozooplankton hija relatata mal-gradjent orizzontali tal-klorofilla-a derivat minn sensuri satellitari ta’ kulur oċeaniku. Għal aktar tagħrif: https://fishreg.jrc.ec.europa.eu/fish-habitat, pubblikazzjoni riveduta mill-pari: https://www.nature.com/articles/s41598-019-41212-2 Cette étude étudie l’association directe entre un indice de biomasse mésozoooplancton, dérivé de l’étude Continuous Plancton Recorder et des caractéristiques frontales de productivité dérivées des satellites dans l’Atlantique Nord. La qualité de l’habitat d’alimentation quotidienne des espèces les plus courantes de mésozooplancton est liée à la chlorophylle horizontale, un gradient dérivé de capteurs satellites de couleur océanique. Plus d’informations: https://fishreg.jrc.ec.europa.eu/fish-habitat, publication révisée par les pairs: https://www.nature.com/articles/s41598-019-41212-2 Imscrúdaíonn an staidéar seo an comhlachas díreach idir innéacs bithmhaise mesozooplankton, a dhíorthaítear ón suirbhé Leanúnach Plankton Recorder agus gnéithe tosaigh táirgiúlachta a dhíorthaítear ó shatailítí san Atlantach Thuaidh. Baineann cáilíocht na gnáthóige beathaithe laethúla do na speicis is coitianta de mhosozooplankton leis an ngrádán cothrománach a dhíorthaítear ó bhraiteoirí satailíte de dhath na n-aigéan. Tuilleadh eolais: https://fishreg.jrc.ec.europa.eu/fish-habitat, foilseachán a ndearnadh athbhreithniú piaraí air: https://www.nature.com/articles/s41598-019-41212-2 Este estudio investiga la asociación directa entre un índice de biomasa mesozooplancton, derivado de la encuesta Continuous Plankton Recorder y características frontales de productividad derivadas de satélites en el Atlántico Norte. La calidad del hábitat de alimentación diaria para las especies más comunes de mesozooplancton está relacionada con la clorofila horizontal, un gradiente derivado de sensores satelitales de color oceánico. Más información: https://fishreg.jrc.ec.europa.eu/fish-habitat, publicación revisada por pares: https://www.nature.com/articles/s41598-019-41212-2 Questo studio indaga l'associazione diretta tra un indice di biomassa mesozooplancton, derivato dall'indagine Continuous Plankton Recorder e le caratteristiche frontali di produttività derivate dai satelliti nel Nord Atlantico. La qualità dell'habitat alimentare giornaliero per le specie più comuni di mesozooplancton è correlata alla clorofilla orizzontale, un gradiente derivato dai sensori satellitari di colore dell'oceano. Per maggiori informazioni: https://fishreg.jrc.ec.europa.eu/fish-habitat, pubblicazione peer-reviewed: https://www.nature.com/articles/s41598-019-41212-2 Acest studiu investighează asocierea directă dintre un indice al biomasei mezozooplanctonice, derivat din studiul Continuous Plankton Recorder și caracteristicile frontale de productivitate derivate din satelit în Atlanticul de Nord. Calitatea habitatului zilnic de hrănire pentru cele mai comune specii de mezozooplancton este legată de clorofila orizontală – un gradient derivat din senzorii sateliți de culoare oceanică. Mai multe informații: https://fishreg.jrc.ec.europa.eu/fish-habitat, publicație revizuită inter pares: https://www.nature.com/articles/s41598-019-41212-2 Deze studie onderzoekt de directe associatie tussen een index van mesozooplankton biomassa, afgeleid van de Continuous Plankton Recorder survey en satelliet-afgeleide productiviteit frontale kenmerken in de Noord-Atlantische Oceaan. De kwaliteit van de dagelijkse voeding habitat voor de meest voorkomende soorten mesozooplankton is gerelateerd aan de horizontale chlorofyl-een gradiënt afgeleid van satellietsensoren van oceaankleur. Meer informatie: https://fishreg.jrc.ec.europa.eu/fish-habitat, Peer-reviewed publicatie: https://www.nature.com/articles/s41598-019-41212-2 Este estudo investiga a associação direta entre um índice de biomassa mesozooplâncton, derivado do estudo Continuous Plankton Recorder e características frontais de produtividade derivadas por satélite no Atlântico Norte. A qualidade do habitat alimentar diário para as espécies mais comuns de mesozooplâncton está relacionada com o gradiente horizontal de clorofila-um derivado de sensores de satélite de cor oceânica. Mais informações: https://fishreg.jrc.ec.europa.eu/fish-habitat, publicação revista pelos pares: https://www.nature.com/articles/s41598-019-41212-2

Les valeurs quotidiennes de la température moyenne, minimale, maximale et totale de la simulation des changements climatiques transitoires METO-HC HadRM3-HadCM3 pour la période 1961-2099 ont été corrigées pour tenir compte des biais selon Dosio et Paruolo, 2011: Correction des biais des projections à haute résolution du changement climatique ENSEMBLES pour utilisation par les modèles d’impact: Évaluation du climat actuel, J. Geophys. Res., 116, D16106, DOI: 10.1029/2011JD015934. Ces données ont été produites à partir d’une simulation transitoire du changement climatique pour la période 1951-2099 pilotée par le modèle global couplé HadCM3Q0 du U.K. Met Office Hadley Centre selon le scénario de marqueur SRES A1B. 121 champs météorologiques différents sont stockés dans la base de données de cette simulation; parmi ceux-ci, 7 sont sauvés 4 fois par jour, 4 sont sauvés deux fois par jour, et le reste est sauvé une fois par jour. Cette simulation a été réalisée dans le cadre du thème de recherche 3 (RT3) du projet EU FP6 ENSEMBLES (http://ensemblesrt3.dmi.dk/). Des informations sur les simulations peuvent être consultées à l’adresse http://ensemblesrt3.dmi.dk/, dans le numéro spécial 44 de Climate Research (2010), ou dans le rapport final ENSEMBLES disponible à l’adresse http://http://ensembles-eu.metoffice.com/docs/Ensembles_final_report_Nov09.pdf. Lignée: Les données de simulation d’un modèle climatique numérique régional avec des conditions latérales et de surface de la mer déterminées à partir de la sortie du modèle global couplé HadCM30. La simulation a été réalisée au U.K. Met Office Hadley Centre (http://www.metoffice.gov.uk/climate-change/resources/hadley) avec le modèle climatique régional HadRM3. (UUID: 6df3c95b-5e30-11e1-9105-0017085a97ab). Les valeurs quotidiennes de la température moyenne, minimale, maximale et des précipitations totales issues de cette simulation ont été corrigées pour tenir compte des biais selon Dosio et Paruolo, 2011: Correction des biais des projections à haute résolution du changement climatique ENSEMBLES pour utilisation par les modèles d’impact: Évaluation du climat actuel, J. Geophys. Res., 116, D16106, DOI: 10.1029/2011JD015934 I valori giornalieri di temperatura media, minima, massima e precipitazione totale dalla simulazione transitoria dei cambiamenti climatici METO-HC HadRM3-HadCM3 per il periodo 1961-2099 sono stati corretti per le distorsioni secondo Dosio e Paruolo, 2011: Correzione di bias delle proiezioni dei cambiamenti climatici ad alta risoluzione ENSEMBLES per l'uso da modelli di impatto: Valutazione del clima attuale, J. Geophys. Res., 116, D16106, DOI: 10.1029/2011JD015934. Questi dati sono stati prodotti da una simulazione transitoria del cambiamento climatico per il periodo 1951-2099 guidata dal modello globale accoppiato HadCM3Q0 del Regno Unito Met Office Hadley Centre secondo lo scenario di marcatore SRES A1B. 121 diversi campi meteorologici sono memorizzati nella banca dati da questa simulazione; di questi, 7 vengono salvati 4 volte al giorno, 4 vengono salvati due volte al giorno e il resto viene salvato una volta al giorno. Questa simulazione è stata realizzata nell'ambito del tema di ricerca 3 (RT3) del progetto ENSEMBLES del 6º PQ dell'UE (http://ensemblesrt3.dmi.dk/). Le informazioni sulle simulazioni sono reperibili all'indirizzo http://ensemblesrt3.dmi.dk/, nel numero speciale 44 della ricerca sul clima (2010), oppure nella relazione finale ENSEMBLES disponibile all'indirizzo http://http://ensembles-eu.metoffice.com/docs/Ensembles_final_report_Nov09.pdf. Il lignaggio: Dati di simulazione da un modello climatico numerico regionale con condizioni laterali e di superficie marina determinate dalla produzione del modello globale accoppiato HadCM30. La simulazione è stata prodotta presso il Met Office Hadley Centre del Regno Unito (http://www.metoffice.gov.uk/climate-change/resources/hadley) con il modello climatico regionale HadRM3. (UUID: 6df3c95b-5e30-11e1-9105-0017085a97ab). I valori giornalieri di temperatura media, minima, massima e precipitazione totale di questa simulazione sono stati corretti per le distorsioni secondo Dosio e Paruolo, 2011: Correzione di bias delle proiezioni dei cambiamenti climatici ad alta risoluzione ENSEMBLES per l'uso da modelli di impatto: Valutazione del clima attuale, J. Geophys. Res., 116, D16106, DOI: 10.1029/2011JD015934 Οι ημερήσιες τιμές μέσης, ελάχιστης, μέγιστης θερμοκρασίας και συνολικής βροχόπτωσης από την προσομοίωση παροδικής κλιματικής αλλαγής METO-HC HadRM3-HadCM3 για την περίοδο 1961-2099 διορθώθηκαν για προκαταλήψεις σύμφωνα με το Dosio και το Paruolo, 2011: Διόρθωση μεροληψίας των προβλέψεων για την κλιματική αλλαγή υψηλής ανάλυσης ENSEMBLES για χρήση από μοντέλα επιπτώσεων: Αξιολόγηση του σημερινού κλίματος, J. Geophys. Απόφ., 116, D16106, DOI: 10.1029/2011JD015934. Αυτά τα δεδομένα έχουν παραχθεί από μια παροδική προσομοίωση της κλιματικής αλλαγής για την περίοδο 1951-2099, καθοδηγούμενη από το συνδεδεμένο παγκόσμιο μοντέλο HadCM3Q0 του Κέντρου Hadley του Ηνωμένου Βασιλείου, σύμφωνα με το σενάριο δείκτη SRES A1B. 121 διαφορετικά μετεωρολογικά πεδία αποθηκεύονται στη βάση δεδομένων από αυτή την προσομοίωση· από αυτά, 7 σώζονται 4 φορές την ημέρα, 4 σώζονται δύο φορές την ημέρα, και τα υπόλοιπα σώζονται μία φορά την ημέρα. Η προσομοίωση αυτή έχει παραχθεί στο πλαίσιο του ερευνητικού θέματος 3 (RT3) του έργου ENSEMBLES της ΕΕ για το 6ο ΠΠ (http://ensemblesrt3.dmi.dk/). Πληροφορίες σχετικά με τις προσομοιώσεις διατίθενται στη διεύθυνση http://ensemblesrt3.dmi.dk/, στο ειδικό τεύχος 44 της έρευνας για το κλίμα (2010), ή στην τελική έκθεση ENSEMBLES που διατίθεται στη διεύθυνση http://http://ensembles-eu.metoffice.com/docs/Ensembles_final_report_Nov09.pdf. Γενεαλογία: Δεδομένα προσομοίωσης από ένα περιφερειακό αριθμητικό κλιματικό μοντέλο με πλευρικές και θαλάσσιες συνθήκες που καθορίζονται από την παραγωγή του συνδεδεμένου παγκόσμιου μοντέλου HadCM30. Η προσομοίωση παρήχθη στο Κέντρο Hadley του Ηνωμένου Βασιλείου (http://www.metoffice.gov.uk/climate-change/resources/hadley) με το περιφερειακό κλιματικό μοντέλο HadRM3. (UUID): 6df3c95b-5e30-11e1-9105-0017085a97ab). Οι ημερήσιες τιμές μέσης, ελάχιστης, μέγιστης θερμοκρασίας και συνολικής βροχόπτωσης από αυτή την προσομοίωση διορθώθηκαν για προκαταλήψεις σύμφωνα με το Dosio και το Paruolo, 2011: Διόρθωση μεροληψίας των προβλέψεων για την κλιματική αλλαγή υψηλής ανάλυσης ENSEMBLES για χρήση από μοντέλα επιπτώσεων: Αξιολόγηση του σημερινού κλίματος, J. Geophys. Απόφ., 116, D16106, DOI: 10.1029/2011JD015934 Valorile zilnice ale temperaturilor medii, minime, maxime și ale precipitațiilor totale rezultate în urma simulării temporare a schimbărilor climatice METO-HC HadRM3-HadCM3 pentru perioada 1961-2099 au fost corectate în funcție de prejudecățile prevăzute de Dosio și Paruolo, 2011: Corecția părtinitoare a previziunilor ENSEMBLES privind schimbările climatice de înaltă rezoluție pentru a fi utilizate de modelele de impact: Evaluarea climatului actual, J. Geophys. Res., 116, D16106, DOI: 10.1029/2011JD015934. Aceste date au fost obținute dintr-o simulare tranzitorie a schimbărilor climatice pentru perioada 1951-2099, bazată pe modelul global cuplat HadCM3Q0 al Centrului Hadley din Marea Britanie, conform scenariului marker SRES A1B. 121 de câmpuri meteorologice diferite sunt stocate în baza de date din această simulare; dintre acestea, 7 sunt salvate de 4 ori pe zi, 4 sunt salvate de două ori pe zi, iar restul sunt salvate o dată pe zi. Această simulare a fost realizată ca parte a temei de cercetare 3 (RT3) a proiectului EU FP6 ENSEMBLES (http://ensemblesrt3.dmi.dk/). Informații privind simulările pot fi găsite la adresa http://ensemblesrt3.dmi.dk/, în numărul special 44 al cercetării climatice (2010), sau în raportul final ENSEMBLES disponibil la adresa http://http://ensembles-eu.metoffice.com/docs/Ensembles_final_report_Nov09.pdf. Linie de linie: Date de simulare dintr-un model climatic numeric regional cu condiții laterale și de suprafață marină determinate de rezultatul modelului global cuplat HadCM30. Simularea a fost realizată la U.K. Met Office Hadley Centre (http://www.metoffice.gov.uk/climate-change/resources/hadley) cu modelul climatic regional HadRM3. (UUID: 6df3c95b-5e30-11e1-9105-0017085a97ab). Valorile zilnice ale temperaturilor medii, minime, maxime și ale precipitațiilor totale rezultate în urma acestei simulări au fost corectate pentru erori în conformitate cu Dosio și Paruolo, 2011: Corecția părtinitoare a previziunilor ENSEMBLES privind schimbările climatice de înaltă rezoluție pentru a fi utilizate de modelele de impact: Evaluarea climatului actual, J. Geophys. Res., 116, D16106, DOI: 10.1029/2011JD015934 Il-valuri ta’ kuljum tat-temperatura medja, minima, massima u preċipitazzjoni totali mis-simulazzjoni temporanja tat-tibdil fil-klima METO-HC HadRM3-HadCM3 għall-perjodu 1961–2099 ġew ikkoreġuti għall-preġudizzji skont Dosio u Paruolo, 2011: Korrezzjoni tal-preġudizzju tal-projezzjonijiet b’riżoluzzjoni għolja ENSEMBLES dwar it-tibdil fil-klima għall-użu mill-mudelli tal-impatt: Evalwazzjoni dwar il-klima preżenti, J. Geophys. Riż., 116, D16106, DOI: 10.1029/2011JD015934. Din id-data ġiet prodotta minn simulazzjoni temporanja tat-tibdil fil-klima għall-perjodu 1951–2099 xprunata mill-mudell globali akkoppjat HadCM3Q0 taċ-Ċentru Hadley tal-Uffiċċju tar-Renju Unit skont ix-xenarju tal-markatur A1B tas-SRES. 121 kamp meteoroloġiku differenti huma maħżuna fil-bażi tad-data minn din is-simulazzjoni; minn dawn, 7 jiġu ffrankati 4 darbiet kuljum, 4 jiġu ffrankati darbtejn kuljum, u l-bqija jiġi ffrankat darba kuljum. Din is-simulazzjoni ġiet prodotta bħala parti mit-Tema ta’ Riċerka 3 (RT3) tal-proġett tal-FP6 tal-UE ENSEMBLES (http://ensemblesrt3.dmi.dk/). L-informazzjoni dwar is-simulazzjonijiet tinsab fuq http://ensemblesrt3.dmi.dk/, fil-ħarġa speċjali 44 tar-Riċerka dwar il-Klima (2010), jew fir-rapport finali tal-ENSEMBLES disponibbli fuq http://http://ensembles-eu.metoffice.com/docs/Ensembles_final_report_Nov09.pdf. Nisel: Data ta’ simulazzjoni minn mudell numeriku reġjonali tal-klima b’kundizzjonijiet laterali u tal-wiċċ tal-baħar iddeterminati mill-output tal-mudell globali akkoppjat HadCM30. Is-simulazzjoni ġiet prodotta fiċ-Ċentru tar-Renju Unit għall-Met Office Hadley (http://www.metoffice.gov.uk/climate-change/resources/hadley) bil-mudell klimatiku reġjonali HadRM3. (UUID: 6df3c95b-5e30–11e1–9105–0017085a97ab). Valuri ta’ kuljum ta’ temperatura medja, minima, massima u preċipitazzjoni totali minn din is-simulazzjoni ġew ikkoreġuti għal preġudizzji skont Dosio u Paruolo, 2011: Korrezzjoni tal-preġudizzju tal-projezzjonijiet b’riżoluzzjoni għolja ENSEMBLES dwar it-tibdil fil-klima għall-użu mill-mudelli tal-impatt: Evalwazzjoni dwar il-klima preżenti, J. Geophys. Riż., 116, D16106, DOI: 10.1029/2011JD015934 Os valores diários de média, mínima, temperatura máxima e precipitação total da simulação de mudanças climáticas transitórias METO-HC HadRM3-HadCM3 para o período 1961-2099 foram corrigidos para vieses de acordo com Dosio e Paruolo, 2011: Correção dos desvios das projeções ENSEMBLES em matéria de alterações climáticas de alta resolução para utilização por modelos de impacto: Avaliação do clima atual, J. Geophys. Resolução 116, D16106, DOI: 10.1029/2011JD015934. Esses dados foram produzidos a partir de uma simulação transitória de mudanças climáticas para o período 1951-2099, impulsionada pelo modelo global acoplado HadCM3Q0 do U.K. Met Office Hadley Centre de acordo com o cenário de marcador SRES A1B. A partir desta simulação, são armazenados 121 campos meteorológicos diferentes na base de dados; destes, 7 são salvos 4 vezes por dia, 4 são salvos duas vezes por dia, e o resto é salvo uma vez por dia. Esta simulação foi produzida no âmbito do tema de investigação 3 (RT3) do projeto ENSEMBLES do 6.º PQ da UE (http://ensemblesrt3.dmi.dk/). As informações sobre as simulações podem ser consultadas em http://ensemblesrt3.dmi.dk/, no número especial 44 da investigação climática (2010) ou no relatório final ENSEMBLES, disponível em http://http://ensembles-eu.metoffice.com/docs/Ensembles_final_report_Nov09.pdf. Linhagem: Dados de simulação de um modelo climático numérico regional com condições laterais e de superfície do mar determinadas a partir da saída do modelo global acoplado HadCM30. A simulação foi produzida no Reino Unido Met Office Hadley Centre (http://www.metoffice.gov.uk/climate-change/resources/hadley) com o modelo climático regional HadRM3. (UUID: 6df3c95b-5e30-11e1-9105-0017085a97ab). Os valores diários de média, mínimo, temperatura máxima e precipitação total desta simulação foram corrigidos para vieses de acordo com Dosio e Paruolo, 2011: Correção dos desvios das projeções ENSEMBLES em matéria de alterações climáticas de alta resolução para utilização por modelos de impacto: Avaliação do clima atual, J. Geophys. Resolução 116, D16106, DOI: 10.1029/2011JD015934 Ceartaíodh luachanna laethúla na meán, na híosteochta, na huasteochta agus na frasaíochta iomláine ó insamhalta athrú aeráide neamhbhuan METO-HC HadRM3-HadCM3 don tréimhse 1961-2099 i gcás claontachtaí de réir Dosio agus Paruolo, 2011: Ceartú claontachta ar réamh-mheastacháin ardtaifigh ENSEMBLES maidir leis an athrú aeráide lena n-úsáid de réir samhlacha tionchair: Meastóireacht ar an aeráid reatha, J. Geophys. RS., 116, D16106, DOI: 10.1029/2011JD015934. Táirgeadh na sonraí seo ó ionsamhlú díomuan um athrú aeráide don tréimhse 1951-2099 arna thiomáint ag an tsamhail dhomhanda chúpláilte HadCM3Q0 de chuid Ionad Hadley Office Hadley de réir chás marcála SRES A1B. Stóráiltear 121 réimse meitéareolaíochta éagsúla sa bhunachar sonraí ón ionsamhlú sin; díobh seo, 7 a shábháil 4 huaire sa lá, 4 a shábháil faoi dhó sa lá, agus tá an chuid eile a shábháil uair sa lá. Táirgeadh an t-ionsamhlú sin mar chuid de Théama Taighde 3 (RT3) de thionscadal EU FP6 ENSEMBLES (http://ensemblesrt3.dmi.dk/). Is féidir teacht ar fhaisnéis faoi na hionsamhlúcháin ag http://ensemblesrt3.dmi.dk/, san eagrán speisialta 44 de Thaighde Aeráide (2010), nó sa tuarascáil deiridh ENSEMBLES atá ar fáil ag http://http://ensembles-eu.metoffice.com/docs/Ensembles_final_report_Nov09.pdf. Líneáil: Sonraí ionsamhlúcháin ó shamhail réigiúnach uimhriúil aeráide ina bhfuil coinníollacha cliathánacha agus dromchla farraige arna gcinneadh ó aschur shamhail dhomhanda chúpláilte HadCM30. Táirgeadh an t-ionsamhlú ag Ionad Hadley an U.K. Met Office (http://www.metoffice.gov.uk/climate-change/resources/hadley) leis an tsamhail aeráide réigiúnach HadRM3. MINICÍOCHT UISCE: FLÚIRSEACH 6df3c95b-5e30-11e1-9105-0017085a97ab). Ceartaíodh luachanna laethúla an mheáin, na híosteochta, na huasteochta agus na frasaíochta iomláine ón ionsamhlúchán seo i gcás claontachtaí de réir Dosio agus Paruolo, 2011: Ceartú claontachta ar réamh-mheastacháin ardtaifigh ENSEMBLES maidir leis an athrú aeráide lena n-úsáid de réir samhlacha tionchair: Meastóireacht ar an aeráid reatha, J. Geophys. RS., 116, D16106, DOI: 10.1029/2011JD015934 Dagelijkse waarden van gemiddelde, minimum, maximumtemperatuur en totale neerslag uit de METO-HC HadRM3-HadCM3 transiënte klimaatsimulatie voor de periode 1961-2099 zijn gecorrigeerd voor vooroordelen volgens Dosio en Paruolo, 2011: Vooringenomenheidscorrectie van de ENSEMBLES-projecties inzake klimaatverandering met hoge resolutie voor gebruik door impactmodellen: Evaluatie van het huidige klimaat, J. Geophys. Res., 116, D16106, DOI: 10.1029/2011JD015934. Deze gegevens zijn geproduceerd uit een transiënte klimaatsimulatie voor de periode 1951-2099, aangedreven door het gekoppelde wereldwijde model HadCM3Q0 van het Britse Met Office Hadley Centre volgens het SRES A1B-markerscenario. 121 verschillende meteorologische velden worden opgeslagen in de databank van deze simulatie; daarvan worden er 7 4 keer per dag gered, 4 worden twee keer per dag gered en de rest wordt één keer per dag bewaard. Deze simulatie is geproduceerd als onderdeel van onderzoeksthema 3 (RT3) van het EU FP6-project ENSEMBLES (http://ensemblesrt3.dmi.dk/). Informatie over de simulaties is te vinden op http://ensemblesrt3.dmi.dk/, in het speciale nummer 44 van Climate Research (2010), of in het eindverslag ENSEMBLES, beschikbaar op http://http://ensembles-eu.metoffice.com/docs/Ensembles_final_report_Nov09.pdf. Afstamming: Simulatiegegevens van een regionaal numeriek klimaatmodel met zij- en zeeoppervlakomstandigheden, bepaald aan de hand van de output van het HadCM30-gekoppelde globale model. De simulatie werd geproduceerd in het Britse Met Office Hadley Centre (http://www.metoffice.gov.uk/climate-change/resources/hadley) met het regionale klimaatmodel HadRM3. (UUID): 6df3c95b-5e30-11e1-9105-0017085a97ab). Dagelijkse waarden van gemiddelde, minimum, maximumtemperatuur en totale neerslag van deze simulatie zijn gecorrigeerd voor biases volgens Dosio en Paruolo, 2011: Vooringenomenheidscorrectie van de ENSEMBLES-projecties inzake klimaatverandering met hoge resolutie voor gebruik door impactmodellen: Evaluatie van het huidige klimaat, J. Geophys. Res., 116, D16106, DOI: 10.1029/2011JD015934 Дневните стойности на средната, минималната, максималната температура и общите валежи от симулацията на преходно изменение на климата METO-HC HadRM3-HadCM3 за периода 1961—2099 г. са коригирани за отклонения съгласно Dosio и Paruolo, 2011 г.: Корекция на предубежденията на прогнозите за изменението на климата с висока резолюция на ENSEMBLES за използване от модели на въздействие: Оценка на настоящия климат, J. Geophys. Рез., 116, D16106, DOI: 10.1029/2011JD015934. Тези данни са получени от преходна симулация на изменението на климата за периода 1951—2099 г., задвижвана от свързания глобален модел HadCM3Q0 на U.K. Met Office Hadley Centre, според сценария за маркер SRES A1B. 121 различни метеорологични полета се съхраняват в базата данни от тази симулация; от тях 7 се спестяват 4 пъти дневно, 4 се записват два пъти дневно, а останалите се пестят веднъж дневно. Тази симулация е изготвена като част от научноизследователската тема 3 (RT3) на проекта на ЕС по 6РП ENSEMBLES (http://ensemblesrt3.dmi.dk/). Информация за симулациите може да бъде намерена на адрес http://ensemblesrt3.dmi.dk/, в специален брой 44 от Изследванията в областта на климата (2010 г.) или в окончателния доклад на ENSEMBLES, достъпен на адрес http://http://ensembles-eu.metoffice.com/docs/Ensembles_final_report_Nov09.pdf. Родословна линия: Симулационни данни от регионален цифров климатичен модел с напречни и морски повърхностни условия, определени от продукцията на глобалния модел HadCM30. Симулацията е произведена в британския Met Office Hadley Centre (http://www.metoffice.gov.uk/climate-change/resources/hadley) с регионалния климатичен модел HadRM3. (UID: 6df3c95b-5e30—11e1—9105—0017085a97ab). Дневните стойности на средната, минималната, максималната температура и общите валежи от тази симулация са коригирани за отклонения съгласно Dosio и Paruolo, 2011 г.: Корекция на предубежденията на прогнозите за изменението на климата с висока резолюция на ENSEMBLES за използване от модели на въздействие: Оценка на настоящия климат, J. Geophys. Рез., 116, D16106, DOI: 10.1029/2011JD015934 A METO-HC HadRM3-HadCM3 tranziens éghajlatváltozási szimulációból származó átlagos, minimális, maximális hőmérsékleti és teljes csapadék napi értékeit az 1961–2099-es időszakra korrigálták a Dosio és Paruolo 2011-es adatai szerint: Az ENSEMBLES nagy felbontású éghajlat-változási előrejelzéseinek torzításkorrekciója a hatásmodellek általi felhasználás tekintetében: Értékelés a jelenlegi éghajlatról, J. Geophys. Res. 116., D16106, DOI: 10.1029/2011JD015934. Ezek az adatok az 1951–2099 közötti átmeneti éghajlat-változási szimulációból származnak, amelyet az Egyesült Királyság Met Office Hadley Centre kapcsolt globális modellje, a HadCM3Q0 hajtott az SRES A1B marker forgatókönyve szerint. Ebből a szimulációból 121 különböző meteorológiai mezőt tárolnak az adatbázisban; ezek közül 7-et naponta 4 alkalommal, 4-et naponta kétszer, a többit naponta egyszer mentünk el. Ez a szimuláció az EU 6. keretprogram ENSEMBLES projektjének 3. kutatási témája (RT3) részeként készült (http://ensemblesrt3.dmi.dk/). A szimulációkra vonatkozó információk megtalálhatók a http://ensemblesrt3.dmi.dk/ címen az Éghajlatkutatás (2010) 44. számában vagy az ENSEMBLES zárójelentésében, amely a http://http://ensembles-eu.metoffice.com/docs/Ensembles_final_report_Nov09.pdf címen érhető el. Születési hely: Szimulációs adatok egy regionális numerikus éghajlati modellből oldal- és tengerfelszíni feltételekkel, amelyeket a HadCM30 kapcsolt globális modelljének kimenetéből határoztak meg. A szimuláció az Egyesült Királyság Met Office Hadley Központjában készült (http://www.metoffice.gov.uk/climate-change/resources/hadley) a HadRM3 regionális klímamodellel. (UUID: 6df3c95b-5e30–11e1–9105–0017085a97ab). Az ebből a szimulációból származó átlag, minimum, maximális hőmérséklet és teljes csapadék napi értékeit korrigálták a Dosio és Paruolo 2011-es jelentése szerint: Az ENSEMBLES nagy felbontású éghajlat-változási előrejelzéseinek torzításkorrekciója a hatásmodellek általi felhasználás tekintetében: Értékelés a jelenlegi éghajlatról, J. Geophys. Res. 116., D16106, DOI: 10.1029/2011JD015934

# Coral reef state influences resilience to acute climate-mediated disturbances\_Table S1 [https://doi.org/10.5061/dryad.rfj6q57gz](https://doi.org/10.5061/dryad.rfj6q57gz) The dataset provides a summary of all publications included in the analysis for this study and the key statistics obtained from the studies and used in the analyses. The dataset includes details about the publication, spatial identifiers (e.g. realm, province, ecoregion) unique site code, information on the disturbance type and timing, the pre-and post-disturbance coral cover, the 5-year annual recovery rate, the recovery shape and recovery completeness classifications. Please see details Methods in the journal article "Coral reef state influences resilience to acute climate-mediated disturbances" as published in Global Ecology and Biogeography. ## Description of the data and file structure Each column provides the following information: | Column | Detail | | ------ | ------ | | Realm | All studies were assigned to an ‘ecoregion’, ‘province’ and ‘realm’ based on their spatial location in Spalding et al. (2007)’s spatial classification system for coastal and shelf waters. | | Province | All studies were assigned to an ‘ecoregion’, ‘province’ and ‘realm’ based on their spatial location in Spalding et al. (2007)’s spatial classification system for coastal and shelf waters. | | Ecoregion | All studies were assigned to an ‘ecoregion’, ‘province’ and ‘realm’ based on their spatial location in Spalding et al. (2007)’s spatial classification system for coastal and shelf waters. | | Unique study identifier | Unique identifiers for the lowest sampling unit in the dataset. In cases where there were data for different regions, reefs, islands/atolls, sites, reef zones, depths, and/or multiple disturbances within a publication or time-series, data from these publications were divided into separate ‘studies’. | | Publication/Dataset | Unique identifiers for the publication or dataset (generally the surname of the first author followed by the year of publication). | | Publication title | Title of the publication or dataset from which the data were sourced. | | Publication year | Year the publication from the which the data were sourced was published. | | Country/Territory | Name of the country or location from which the data came. | | Site latitude | Latitude of the study site from where the data came. | | Site longitude | Longitude of the study site from where the data came. | | Disturbance type | Classification of disturbance: Temperature stress, Cyclone/ severe storm, Runoff or Multiple. | | Disturbance.year | Year of the disturbance. | | Mean coral cover pre-disturbance | Pre-disturbance coral cover as extracted from the publication or dataset as the closest data point prior to disturbance. If there is an NA value in this column then there was no pre-disturbance data available and a measure of impact was not calculated. | | Mean coral cover post-disturbance | Post-disturbance coral cover as extracted from the publication or dataset as the closest data point prior to disturbance. If there is an NA value in this column then there was no pre-disturbance data available and a measure of impact was not calculated. | | Impact (lnRR) | Impact measure: the log response ratio of pre- to post-disturbance percentage coral cover. If there is an NA value in this column then there was no pre-disturbance data available and a measure of impact was not calculated. | | Time-averaged recovery rate | Recovery rate as percentage coral cover per year in the approximate 5-year time window following disturbance. See main Methods text in manuscript for more detail. If there is an NA value in this column then the available time-series following disturbance did not satisfy the criteria for inclusion in the calculation of recovery rate. | | Recovery shape | Recovery shape category: linear, accelerating, decelerating, logistic, flatline or null. If there is an NA value in this column then the available time-series following disturbance did not satisfy the criteria for inclusion in classification of recovery shape. | | Recovery completeness | Recovery completeness category: complete recovery – coral is observed to reach its pre-disturbance coral cover, signs of recovery – a positive trajectory but not reaching pre-disturbance cover in the time period examined, undetermined – no clear pattern in recovery, the null model was the top model, no recovery – the null model was the top model but the linear model had slope and standard error in slope near zero and further decline – the top model had a negative trend. 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Status of Caribbean coral reefs after bleaching and hurricanes in 2005. Wismer, S., Tebbett, S. B., Streit, R. P., & Bellwood, D. R. (2019). Spatial mismatch in fish and coral loss following 2016 mass coral bleaching. Science of the Total Environment, 650, 1487-1498. Woolsey, E., Bainbridge, S. J., Kingsford, M. J., & Byrne, M. (2012). Impacts of cyclone Hamish at One Tree Reef: Integrating environmental and benthic habitat data. Marine Biology, 159(4), 793-803. Aim: Understand the interplay between resistance and recovery on coral reefs, and investigate dependence on pre- and post-disturbance states, to inform generalisable reef resilience theory across large spatial and temporal scales. Location: Tropical coral reefs globally. Time period: 1966 to 2017. Major taxa studied: Scleratinian hard corals. Methods: We conducted a literature search to compile a global dataset of total coral cover before and after acute storms, temperature stress, and coastal runoff from flooding events. We used meta-regression to identify variables that explained significant variation in disturbance impact, including disturbance type, year, depth, and pre-disturbance coral cover. We further investigated the influence of these same variables, as well as post-disturbance coral cover and disturbance impact, on recovery rate. We examined the shape of recovery, assigning qualitatively distinct, ecologically relevant, population growth trajectories: linear, logistic, logarithmic (decelerating), and a second-order quadratic (accelerating). Results: We analysed 427 disturbance impacts and 117 recovery trajectories. Accelerating and logistic were the most common recovery shapes, underscoring non-linearities and recovery lags. A complex but meaningful relationship between the state of a reef pre- and post-disturbance, disturbance impact magnitude, and recovery rate was identified. Fastest recovery rates were predicted for intermediate to large disturbance impacts, but a decline in this rate was predicted when more than ~75% of pre-disturbance cover was lost. We identified a shifting baseline, with declines in both pre-and post-disturbance coral cover over the 50 year study period. Main conclusions: We breakdown the complexities of coral resilience, showing interplay between resistance and recovery, as well as dependence on both pre- and post-disturbance states, alongside documenting a chronic decline in these states. This has implications for predicting coral reef futures and implementing actions to enhance resilience. The dataset provides a summary of all studies included in the analysis and the key statistics obtained from the studies and used in the analyses for the manuscript entitled "Coral reef state influences resilience to acute climate-mediated disturbances" as published in Global Ecology and Biogeography. The dataset includes details about the publication, spatial identifiers (e.g. realm, province, ecoregion) unique site code, information on the disturbance type and timing, the pre-and post-disturbance coral cover, the 5-year annual recovery rate, the recovery shape and recovery completeness classifications. Please see details Methods in the journal article "Coral reef state influences resilience to acute climate-mediated disturbances" as published in Global Ecology and Biogeography.

This readme file provides all data and R codes used to perform the analyses presented in Figs. 2-4 of the main text and Supplementary Information Figures S1-S2-S3. FIGURE 2 - Seasonally_dated_GDs.txt: Contains information on the timing (Season) of rockfall (GD) in a given tree (Id) and a given year (yr) over the past 100 years. Inv refers to the operators which analyzed growth disturbances in the tree-ring series. Lat / Long refers to the position of the tree in CH1903/ Swiss Grid projection. Intensity (1-4) refers to (1), intermediate (2) and strong (3) GD. Intensity 4 was attributed to injuries (I). Only the 408 GD rated 3 (strong TRD) and 4 (injuries) were used in Fig. 2. Acronyms used for Response_type read as follows: TRD: Tangential rows of traumatic resin ducts; I: Injuries. Acronyms used for Season refer to Dormancy (1_D), early (2_EE), middle (3_ME) and late (4_LE) earlywood, whereas a GD found in the latewood was attributed to either the early (5_EL) or late (6_LL) latewood. - Trends_in_seasonality_R1.R: The data contained in "Seasonally_dated_GDs" were processed with the R script "Trends_in_Seasonality.R". This seasonal trend analysis code is inspired by work published by Schlögl et al. (2021; https://doi.org/10.1016/j.crm.2021.100294) and Heiser et al. (2022; https://doi.org/10.1029/2011JF002262). FIGURE 3-4-S1 - Tasch_GD.txt: Contains the raw data on rockfall impacts (GD) in a given year (yr) as found in all trees available in that same year (Sample_depth) as well as the cumulated diameter at breast height (cumulated_DBH) of all trees present in that same year. - Rockfall_frequency_climate.R: The data contained in "Tasch_GD.txt" were processed with the R script "Rockfall_frequency_climate.R". - The temperature (Imfeld23_tmp.txt) and precipitation (Imfeld23_prc.txt) data used in Fig. 3 are from the Imfeld et al. 2023 (10.5194/cp-19-703-2023) gridded dataset (1x1 km lat/long) and were extracted at the grid point centered on the Täschgufer site. - The script set with temperature series enables to compute Fig. 4 (l.149:216) and Fig. 3 (l. 216:330); the script set with precipitation series enables to compute Fig. S1 FIGURE S2 - Tasch_GD.txt: Contains the raw data on rockfall impacts (GD) at the Täschgufer site in a given year (yr) as found in all trees available in that same year (Sample_depth) as well as the cumulated diameter at breast height (cumulated_DBH) of all trees present in that same year. - Rockfall_frequency_borehole.R: is adapted from "Rockfall_frequency_climate.R" to work with the borehole dates. - Corvatsch0_6R1: Contains the Corvatsch borehole temperature series (2000-2020, 0.6m depth) (Hoelzle, M. et al. https://doi.org/10.5194/essd-14-1531-2022, 2022). FIGURE S3 - Plattje_GD.txt: Contains the raw data on rockfall impacts (GD) at the Plattje site in a given year (yr) as found all trees available in that same year (Sample_depth) as well as the cumulated diameter at breast height (cumulated_DBH) of all trees present in that same year. - - Rockfall_frequency_climate_Plattje.R: The data contained in "Plattje_GD.txt" were processed with the R script "Rockfall_frequency_climate_Plattje.R". - The temperature (Imfeld23_tmp_Plattje.txt) and precipitation (Imfeld23_prc_Plattje.txt) data used in Fig. 3 are from Imfeld et al. 2023 (10.5194/cp-19-703-2023) gridded dataset (1x1 km lat/long) and were extracted at the grid point centered on the Plattje site.

The 2004 stimulation was aimed at improving the hydraulic performances of the well GPK4. This borehole was stimulated twice. The present test corresponds to the first stimulation of GPK4. Included are the data from a pre-stimulation low flow injection test that was performed to evaluate the initial injectivity of GPK4.

Data type: Experimental measurements, correlations and Van't Hoff plot. Date format: .opj. Origin of the data: Experimental pressure composition isotherm measurements. Data generated by a home-made Sieverts’ type apparatus from CNRS, ICMPE, Thiais, France. Software needed to plot the data: Origin.