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The data contains three supporting datasets: 1. Mid-intertidal data 2. Vertical transect data 3. GPS coordinates for all sites

Poleward range extensions by warm-adapted sea urchins are switching temperate marine ecosystems from kelp-dominated to barren-dominated systems that favour the establishment of range-extending tropical fishes. Yet, such tropicalization may be buffered by ocean acidification, which reduces urchin grazing performance and the urchin barrens that tropical range-extending fishes prefer. Using ecosystems experiencing natural warming and acidification, we show that ocean acidification could buffer warming-facilitated tropicalization by reducing urchin populations (by 87%) and inhibiting the formation of barrens. This buffering effect of CO2 enrichment was observed at natural CO2 vents that are associated with a shift from a barren-dominated to a turf-dominated state, which we found is less favourable to tropical fishes. Together, these observations suggest that ocean acidification may buffer the tropicalization effect of ocean warming against urchin barren formation via multiple processes (fewer urchins and barrens) and consequently slow the increasing rate of tropicalization of temperate fish communities. In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2021) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2021-07-26.

This data set describes the population dynamics of Wilson's Storm Petrels (Oceanites oceanicus) at King George Island (Isla 25 de Mayo, Antarctica) over a forty year period (1978 – 2020). It includes all available data on Wilson's Storm Petrels from two colonies: around the Argentinian Base Carlini (62°14′S, 58°40′W; CA, formerly called Base Jubany) and the Henryk Arctowski Polish Antarctic Station (62°09′S, 58°27′W; HA). Data on population productivity (number of nests, eggs, chicks and fledglings) was collected by regular visits to the colonies and searching for nest burrows, or monitoring of the egg or chick if found. Data on adult abundance and estimated age categories (i.e., presence of foot spots; Quillfeldt et al. (2000, doi:10.1007/s003000000167) were collected at CA by using the same size mistnet every study year in the same location within the breeding colony. Chicks were measured regularly (varying intervals depending on the study) at both CA and HA. Chick tarsus was measured using callipers (vernier or digital depending on the study year) to the nearest 0.1 mm, chick wing length was measured using wing rulers to the nearest 1 mm, and chick body mass was measured using mechanical or digital scales depending on the study year to the nearest 0.1 g. Chick growth rates were calculated based on the linear growth period following Ausems et al. (2020, doi:10.1016/j.scitotenv.2020.138768). Chick food loads (g) were recorded at CA and determined based on changes in chick body mass on consecutive days (Gladbach et al. (2009, doi:10.1007/s00300-009-0628-z); Kuepper et al. (2018, doi:10.1016/j.cbpa.2018.06.018). This study was further supported by the Erasmus+ programm and thee German Academic Exchange Service (DAAD)

This dataset contains spatial predictions of the potential environmental spaces for pingos, ice-wedge polygons and rock glaciers across the Northern Hemisphere permafrost areas. The potential environmental spaces, i.e. conditions where climate, topography and soil properties are suitable for landform presence, were predicted with statistical ensemble modelling employing geospatial data on environmental conditions at 30 arc-second resolution (~1 km). In addition to the baseline period (1950-2000), the predictions are provided for 2041-2060 and 2061-2080 using climate-forcing scenarios (Representative Concentration Pathways 4.5 and 8.5). The resulting dataset consists of five spatial predictions for each landform in GeoTIFF format.The data provide new information on 1) the fine-scale spatial distribution of permafrost landforms in the Northern Hemisphere, 2) the potential future alterations in the environmental suitability for permafrost landforms due to climate change, and 3) the circumpolar distribution of various ground ice types, and can 4) facilitate efforts to inventory permafrost landforms in incompletely mapped areas.

The CARBO-ACID research cruise (EUROFLEETS+ SEA02_10) was carried out on the RV Ramón Margalef between August 2nd and August 11st, with departing from Vigo – Spain and ending in Lisbon – Portugal. The main objective of this cruise was to collect data and samples to study the potential effects of ocean acidification on carbonate marine organisms (coccolithophores, pteropods, planktonic and benthic foraminifera, and corals) along the Iberian margin. With this objective, oceanographic data and water samples, plankton, cold-water corals and sediment samples were collected during an upwelling season, along two transects coinciding with the two persistent upwelling filaments off the Iberia Margin: the Cape Finisterra and the Cape Roca. In this dataset is guiven all the acquired data recollected onboad. During the CARBO-ACID cruise we did a total of 7 stations, 4 stations along the Cape Finisterra transect (from W to E: CA3, CA2, CA7, CA8) and 3 stations at the Cape Roca (from W to E: CA6, CA5, CA4) transect (Fig). At each station we usually started with a multibeam survey, a CTD and Rosette cast. These initial operations allowed to identify the different water masses present in this area, characterize their physical properties and to recover seawater samples at specific depth levels. The seawater samples were onboard subsampled, preserved in cold conditions or with chemicals and/ or filtered for several further analysis in the shore-based laboratories: DNA, chlorophyll, fitoplankton, coccolithophores, pH, alkalinity, stable isotopic composition, trace elements concentration and Suspend Particulate Matter. Subsequently to these operations, at each station, two vertical tows with a plankton multinet (with 5 nets) were done on the top 700 m of the water column to sample the planktonic communities of the different water depths. After this, sediment samples were recovered with a box-corer to study the past oceanographic conditions, between the pre-industrial Era and the Present, with multi-proxies used in paleoceanography and sedimentology. A total of 10 box-cores were recollected and each of them was onboard sub-sampled for eDNA, enzymes and benthic foraminifera. Fifteen shipek grab samples were recollected at the Fontanelas seamount (Estremadura Spur), station CA6, to characterize the sedimentary cover and to evaluate the presence of deep cold-water corals. Preliminary results show that the stations CA7, CA8 and CA4, located close to the coast, as expected, are the most influenced by the coastal upwelling, exhibiting colder surface water, higher values of fluorescence, and more zooplankton content reflecting higher phyto-zooplankton concentrations, as typical of the upwelling waters. At station CA4 temperature was higher and fluorescence showed lower values, indicative of less phytoplankton, and interpreted as indicating a different upwelling source water from that upwelled further north. Based on the CTD data, the Cape Roca transect is more influenced by the subtropical East North Atlantic Central Water (ENACWst), while the Cape Finisterra transect is more under the influence of the subpolar branch (ENACWsp). Seafloor sediment samples showed significant differences between the stations. Along the northern transect (Cape Finisterra) the seafloor sediments show an increase in grain size from the offshore to the coast. The offshore stations CA3 and CA2 revealed finer grained sediments, CA8 were composed of coarser sand and the station CA7, the shallowest station 77 m, presented the sediment composed mainly of shell fragments and coarse grain sand. Along the southern transect (Cape Roca), the offshore station CA6 (Fontanelas seamount) has coarser sandy sediments with rock clasts and cold-water coral fragments, and the stations CA5 and CA4 with fine sand to muddy sediments. The detailed CA6 bathymetry allowed to verify the existence of small plateaus on the slope of the Fontanelas seamount, where the fossil cold-water corals fragments were found, suggesting that this area is a very interesting system deserving further study with a ROV, and to characterize the corals fields and verify if there are live corals. These recollected data and samples will allow not only to reconstruct the pH variability under different environmental conditions, but also to estimate the biogeochemical changes along the coastal ocean waters as the anthropogenic influence increases. These results will contribute to better understand and model the effects on the biota under the future expected oceans pH changes.

Misurazioni orarie SMPS per Malin Head per l'anno 2019 Clima Chimica e Climate Change Network (AC3) Stazione: Testa di Malin (MLH) Le coordinate: 55º 22′ N, 7º 20′ O ALTITUDINE: 22 m s.l.m. Altezza di misura: 5 m Tipo di sito: fondo rurale Strumentazione: PALAS U200 SMPS Gamma di dati: 8-1200 nm (l'intestazione determina l'intervallo inferiore) Unità:[1/cm³] Tempo di consegna: TERMINI E CONDIZIONI Informazioni di base: Malin Head è l'attuale stazione meteorologica sinottica Met Eireann. Numero di serie dello strumento: Informazioni di calibrazione: Calibrato ogni 2 anni Погодинний вимірювання SMPS для Малін Голова на 2019 рік Хімія атмосфери та мережа змін клімату (AC3) Станція метро: Малін Голова (MLH) Географічні координати міста: 55° 22′ N, 7° 20′ ВТ ВИСОТА ПІДЙОМУ: 22 м с. Висота вимірювання: 5 м Тип сайту: сільський фон Вимірювальні прилади: ПАЛАС U200 SMPS Діапазон даних: 8-1200 нм (заголовок визначає нижній діапазон) Одиниці:[1/см³] Час роботи: СТВОРЕННЯ UTC Довідкова інформація: Малін Хед - існуюча синоптична метеорологічна станція Met Eireann. Серійний номер приладу: Інформація про калібрування: Калібрується кожні 2 роки Stundas SMPS mērījumi Malin Head 2019. gadam Atmosfēras ķīmijas un klimata pārmaiņu tīkls (AC3) Atrašanās vieta: Malin Head (MLH) Koordinātas: 55° 22′ ZIEMEĻU PLATUMA, 7° 20′ RIETUMU GARUMA, AUGSTUMS VIRS JŪRAS LĪMEŅA: 22 m asl Mērīšanas augstums: 5 m Vietnes tips: lauku vide Instrumenti: PALAS U200 SMPS Datu diapazons: 8–1200 nm (virsma nosaka zemāko diapazonu) Vienības:[1/cm³] Laiks: UTC UTC Vispārīga informācija: Malin Head ir esošā Met Eireann sinoptiskās meteoroloģijas stacija. Instrumenta sērijas numurs: Kalibrēšanas informācija: Kalibrēts ik pēc 2 gadiem Kejl fis-siegħa tal-SMPS għal Malin Head għas-sena 2019 Netwerk dwar il-Kimika u t-Tibdil fil-Klima (AC3) Stazzjon: Ras ta’ Malin (MLH) Koordinati: 55° 22′ N, 7° 20′ W ALTITUDNI: 22 m asl L-għoli tal-kejl: 5 m Tip ta’ sit: sfond rurali Strumentazzjoni: PALAS U200 SMPS Firxa ta’ dejta: 8–1200 nm (l-intestatura tiddetermina l-firxa aktar baxxa) Unitajiet:[1/cm³] Ħin: UTC Informazzjoni ta’ sfond: Malin Head huwa l-istazzjon eżistenti tal-meteoroloġija sinottika Met Eireann. Numru tas-serje tal-istrument: Informazzjoni ta’ kalibrazzjoni: Kalibrat kull sentejn Valandiniai SMPS matavimai Malin Head 2019 metams Atmosferos chemijos ir klimato kaitos tinklas (AC3) Stotelės: Malin Head (MLH) Koordinatės: 55° 22′ ŠIAURĖS PLATUMOS, 7° 20′ VAKARŲ ILGUMOS AUKŠTIS: 22 m asl Matavimo aukštis: 5 m Svetainės tipas: kaimo fonas Instrumentai: PALAS U200 SMPS Duomenų diapazonas: 8–1200 nm (antraštė nustato žemesnį diapazoną) Vienetų skaičius:[1/cm³] Laikas: UTC Pagrindinė informacija: Malin Head yra esama Met Eireann sinoptinės meteorologijos stotis. Priemonės serijos numeris: Kalibravimo informacija: Kalibruojama kas 2 metus Mediciones por hora de SMPS para Malin Head para el año 2019 Red de Química y Cambio Climático de la Atmósfera (AC3) De la estación: Malin Head (MLH) Coordenadas: 55.º 22′ N, 7.º 20′ O ALTURA: 22 m asl Altura de medición: 5 m Tipo de sitio: fondo rural Instrumentación: PALAS U200 SMPS Rango de datos: 8-1200 nm (la cabecera determina el rango inferior) Unidades:[1/cm³] Hora: UTC Información de antecedentes: Malin Head es la estación de meteorología sinóptica Met Eireann existente. Número de serie del instrumento: Información de calibración: Calibrado cada 2 años Medições horárias SMPS para Malin Head para o ano 2019 Rede de Química da Atmosfera e Alterações Climáticas (AC3) Estação: Cabeça de Malin (MLH) Coordenadas: 55.º 22′ N, 7.º 20′ W ALTITUDE: 22 m/sl Altura da medição: 5 m Tipo do site: contexto rural Instrumentação: PALAS U200 SMPS Gama de dados: 8-1200 nm (o cabeçalho determina o intervalo mais baixo) Unidades:[1/cm³] Hora: UTC Informações gerais: Malin Head é a estação de meteorologia sinóptica Met Eireann existente. Número de série do instrumento: Informações de calibração: Calibrado a cada 2 anos SMPS-metingen per uur voor Malin Head voor het jaar 2019 Netwerk van atmosfeerchemie en klimaatverandering (AC3) Locatie: Malin Hoofd (MLH) Coördinaten: 55° 22′ NOORDERBREEDTE, 7° 20′ WL HOOGTE: 22 m asl De hoogte van de meting: 5 m Soort site: landelijke achtergrond Instrumentatie: PALAS U200 SMPS Gegevensbereik: 8-1200 nm (header bepaalt een lager bereik) Eenheden:[1/cm³] Tijd: UTC Achtergrondinformatie: Malin Head is het bestaande synoptische meteorologisch station Met Eireann. Instrument serienummer: Kalibratie info: Om de 2 jaar gekalibreerd Почасови SMPS измервания за Malin Head за 2019 г. Мрежа за химия на атмосферата и изменение на климата (AC3) Станция: Malin Head (MLH) Координати: 55° 22′ С.Ш., 7° 20′ З.Д. ВИСОЧИНА:22 m asl Височина на измерване:5 м Тип на сайта:произход на селските райони Инструментална апаратура:PALAS U200 SMPS Обхват на данните:8—1200 nm (главата определя долен обхват) Единици:[1/cm³] Време:UTC Основна информация: Malin Head е съществуващата метеорологична станция Met Eireann. Сериен номер на инструмента: Информация за калибриране: Калибрирани на всеки 2 години Mesures horaires SMPS pour Malin Head pour l’année 2019 Réseau de chimie de l’atmosphère et du changement climatique (AC3) Station: Tête de Malin (MLH) Coordonnées: 55° 22′ N, 7° 20′ O ALTITUDE:22 m asl Hauteur de mesure:5 m Type de site:milieu rural Instrumentation:PALAS U200 SMPS Plage de données:8-1200 nm (l’en-tête détermine la plage inférieure) Unités:[1/cm³] Temps:UTC Informations générales: Malin Head est la station météorologique synoptique de Met Eireann. Numéro de série de l’instrument: Informations d’étalonnage: Calibré tous les 2 ans

Herewith we present the extended 1Hz dataset of wind measurements from a Skipheia meteorological station on the island of Frøya on the western coast of Norway, Trondelag. The data binned in 10 min averages can be find at: https://doi.org/10.5281/zenodo.2557500 The site represents an exposed coastal wind climate with open sea, land and mixed fetch from various directions. UTM-coordinates of the Met-mast: 8.34251 E and 63.66638 N. See the map for details (NorwegianMapping Authority): https://www.norgeskart.no/#!?project=norgeskart&layers=1003&zoom=3&lat=7035885.49&lon=539601.41&markerLat=7077031.483032227&markerLon=170902.83203125&panel=searchOptionsPanel&sok=Titranveien Presented data were gathered between years 2009-2016. Data&hardware summary: Years 2009-2016: Mast2 equipped with 6 pairs of 2D sonic anemometers at 10, 16, 25, 40, 70, 100 m above the ground, independent temperature measurements at the same heights and near the ground; pressure and relative humidity from local meteostation (Sula, 20 km away). Years 2014-2016: Mast4 equipped with 2 pairs of 2D sonic anemometers at 40 and 100 m above the ground. The distance between the masts is 79 m. Data is binned in years and months and stored in a ‘*.txt’ tab-separated values file. Data column order is described in SkipheiaMast2_header.txt and SkipheiaMast4_header.txt, where WSx is the wind speed (m/s), WDx is the wind direction (360 deg), ATx is the air temperature (deg C) and x designates the instrument number. The instruments are numbered starting from the ground. Example: For Mast2 (6 pairs of anemometers, ground temperature + 6 temperature sensors on the mast) that means that AT0 is the ground temperature. WS1 and WS2 are wind speed records at 10 m level. WS3 and WS4 are wind speed records at 16 m. For Mast4 (2 pairs of anemometers) that means that WS1 and WS2 are wind speed records at 40 m level. WS3 and WS4 are wind speed records at 100 m. Detailed site description with wind climate description can be found in attached analysis: Site analysys.pdf. Additional information and analysis can be found in listed below works, using data from Frøya site: Bardal, L. M., & Sætran, L. R. (2016, September). Spatial correlation of atmospheric wind at scales relevant for large scale wind turbines. In Journal of Physics: Conference Series (Vol. 753, No. 3, p. 032033). IOP Publishing, doi:10.1088/1742-6596/753/3/032033, https://iopscience.iop.org/article/10.1088/1742-6596/753/3/032033/pdf Bardal, L. M., & Sætran, L. R. (2016). Wind gust factors in a coastal wind climate. Energy Procedia, 94, 417-424, https://doi.org/10.1016/j.egypro.2016.09.207 IEA Wind TCP Task 27 Compendium of IEA Wind TCP Task 27 Case Studies, Technical Report, Prepared by Ignacio Cruz Cruz, CIEMAT, Spain Trudy Forsyth, WAT, United States, October 2018; Chapter 1.8. https://community.ieawind.org/HigherLogic/System/DownloadDocumentFile.ashx?DocumentFileKey=8afc06ec-bb68-0be8-8481-6622e9e95ae7&forceDialog=0 Domagalski, P., Bardal, L. M., & Sætran, L. Vertical Wind Profiles in Non-neutral Conditions-Comparison of Models and Measurements from Froya. Journal of Offshore Mechanics and Arctic Engineering, doi: 10.1115/1.4041816, http://offshoremechanics.asmedigitalcollection.asme.org/article.aspx?articleid=2711333&resultClick=3 Møller, M., Domagalski, P., & Sætran, L. R. (2019, October). Characteristics of abnormal vertical wind profiles at a coastal site. In Journal of Physics: Conference Series (Vol. 1356, No. 1, p. 012030). IOP Publishing. https://iopscience.iop.org/article/10.1088/1742-6596/1356/1/012030 Møller, M., Domagalski, P., and Sætran, L. R.: Comparing Abnormalities in Onshore and Offshore Vertical Wind Profiles, Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2019-40 , in review, 2019.