ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Data  (8)
  • PANGAEA  (8)
Collection
  • Data  (8)
Keywords
Publisher
  • PANGAEA  (8)
Years
  • 1
    Publication Date: 2023-06-24
    Description: Meteorological observations made in the region of Extremadura (SW Iberia) from 1826 to mid-20th century have been retrieved. Variables such as air temperature, atmospheric pressure, precipitation, wind direction and humidity, among other, were recorded in these observations. In total, more than 700000 instrumental data were digitized (79.8 % with daily resolution).
    Keywords: Ahillones, Spain; Alange, Spain; Alburquerque, Spain; Alía, Spain; Aliseda, Spain; Aljucén, Spain; Almendralejo, Spain; Arroyo de San Serván, Spain; BAAHIL; BAALAN; BAALAN5; BAALBQ; BAALBU; BAALJU; BAALME; BAASER; BABADA; BABARC; BABERR; BACALA; BACAMP; BACAST; BACBUE; BACIJA; BACLAC; BACLLE; BACORN; BACPED; BACPEL; BACSTB; BACVAC; BACVAC2; Badajoz, Spain; BADBEN; BADBEN2; BAFCNT; BAFLEO; BAFMST; BAGRNJ; BAGTOR; BAGUAR; BAHDUQ; BAHLLE; BAHMON; BAHORN; BAHSER; BAJCAB; BALALB; BALANG; BALCOD; BALGAR; BALGUA; BALLER; BALNAV; BALOBN; BALPAR; BALROC; BALSMA; BAMAGA; BAMAGU; BAMENG; BAMERD; BAMIRA; BAMIRL; BAMNTJ; BAMONS; BAMSER; BAMTOR; BANOGA; Baños de Montemayor, Spain; BAOLIV; BAOVIE; BAPALC; BAPENA; BAPHUR; BAPMAE; BAPPRI; BAPREI; BAPZAJ; Barcarrota, Spain; BARENA; Barrado, Spain; BASALV; BASAMA; BASBAR; BASIRU; BASLEO; BASMAR; BASOBA; BASVAL; BATALA; BATORR; BATREA; BAUSAG; BAVALD; BAVFBA; BAVIBA; BAVIMO; BAVISE; BAVLEG; BAVREY; BAVVEN; BAVVEN2; BAZAFR; Berrocal, Spain; Binary Object; Borbollón, Spain; Cabezabellosa, Spain; Cabeza del Buey, Spain; Cabeza la Vaca, Spain; Cáceres, Spain; Calamonte, Spain; Caminomorisco, Spain; Campanario, Spain; Campillo de Llerena, Spain; Campo Maior (Portugal); Cañamero, Spain; Cañaveral, Spain; Casas de Don Pedro, Spain; Castiblanco, Spain; Castuera, Spain; CCALIA; CCALIS; CCBARR; CCBORB; CCCACE; CCCAMI; CCCANA; CCCBEL; CCCNVL; CCCORI; CCCYUS; CCETOR; CCGALI; CCGGRA; CCGRRV; CCGUAD; CCHERV; CCHOYO; CCJARN; CCJARZ; CCLOGR; CCMADR; CCMIAJ; CCMNTZ; CCMONT; CCMPLS; CCNAVM; CCPIOR; CCPLAS; CCPSCR; CCRVER; CCSFUE; CCSTRE; CCTALA; CCTORR; CCVALC; CCVCOR; CCVFRS; CCVILL; CCVILM; CCVISI; CCZORI; Cíjara, Spain; climate; Cordobilla de Lácara, Spain; Coria, Spain; Cornalvo, Spain; Corte de Peleas, Spain; Cuacos de Yuste, Spain; DATE/TIME; Don Benito, Spain; El torno, Spain; Event label; Extremadura; Fuente de Cantos, Spain; Fuente del Maestre, Spain; Fuentes de León, Spain; Galisteo, Spain; Garrovillas, Spain; Granja Badajoz, Spain; Granja de Torrehermosa, Spain; Guadalupe, Spain; Guareña, Spain; Guijo de Granadilla, Spain; Helechosa de los Montes, Spain; Herrera del Duque, Spain; Hervás, Spain; Higuera de la Serena, Spain; Higuera de Llerena, Spain; historical data; Hornachos, Spain; Hoyos, Spain; Iberian Peninsula; Jaraiz de la Vera, Spain; Jarandilla de la Vera, Spain; Jerez de los Caballeros (Aguas Santas), Spain; La Albuera, Spain; La Albuera-Feria, Spain; La Angostura, Spain; La Codosera, Spain; La Garrovilla, Spain; La Guarda, Spain; La Nava de Santiago, Spain; La Parra, Spain; La Roca de la Sierra, Spain; LATITUDE; Llerena, Spain; Lobón, Spain; Logrosán, Spain; LONGITUDE; Los Santos de Maimona, Spain; Madrigalejo, Spain; Magacela, Spain; Maguilla, Spain; Malpartida de Plasencia, Spain; Medina de las Torres, Spain; Mengabril, Spain; Mérida, Spain; meteorological observations; Miajadas, Spain; Miralrio, Spain; Mirandilla, Spain; Monesterio, Spain; Montánchez, Spain; Monterrubio de la Serena, Spain; Montijo, Spain; Navalmoral de la Mata, Spain; Nogales, Spain; Olivenza, Spain; Orellana la Vieja, Spain; Peñalsordo, Spain; Peraleda del Zaucejo, Spain; Piornal, Spain; Plasencia, Spain; PTCAMP; Puebla de Alcocer, Spain; Puebla de la Reina, Spain; Puebla del Maestre, Spain; Puebla del Prior, Spain; Puerto de Santa Cruz, Spain; Puerto Hurraco, Spain; Rena, Spain; Robledillo de la Vera, Spain; Salvaleón, Spain; Salvatierra de los Barros, Spain; San Martín de Trevejo, Spain; Santa Amalia, Spain; Santa Marta, Spain; San Vicente de Alcántara, Spain; Segura de León, Spain; Sierra de Fuentes, Spain; Siruela, Spain; Site; Solana de Barros, Spain; Talarrubias, Spain; Talaván, Spain; Talavera la Real, Spain; Torremayor, Spain; Torremenga, Spain; Usagre, Spain; Valdesevilla, Spain; Valencia de Alcántara(Spain); Valencia del Ventoso, Spain; Valverde de Leganés, Spain; Valverde del Fresno, Spain; Vegas de Coria, Spain; Villafranca de los Barros, Spain; Villalba de los Barros, Spain; Villamiel, Spain; Villanueva de la Serena, Spain; Villanueva de la Sierra, Spain; Villar del Rey, Spain; Villareal, Spain; Villarta de los Montes, Spain; Weather station/meteorological observation; WST; Zafra, Spain; Zorita, Spain
    Type: Dataset
    Format: text/tab-separated-values, 314 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2024-01-08
    Description: The aim of this project was to investigate nearshore depositional processes in the Arctic within the last century. For this study sediment cores were retrieved from lagoon and marine sites at Kanivaliuraq – Ptarmigan Bay (lagoon) and Herschel Basin (marine). The lagoon (YC18-PB-SC01, 64 cm length) and two marine (YC18-HB-GC01, 40 cm length; and PG2303-1, 20 cm length) sediment cores, were collected at 3, 18 and 43 m water depth, respectively. Sampling missions took place in April 2016 and August 2018 in the nearshore areas of the southern Beaufort Sea along the Yukon North Slope in the western Canadian Arctic. Lagoon core YC18-PB-SC01 was taken with a percussion corer and marine cores with an UWITEC gravity corer. The cores were kept cool and dark until further analysis in the laboratories. Mineralogy composition was obtained by X-ray diffraction (XRD) of bulk sediment (well ground and mixed) through a Siemens D500 X-Ray diffractometer and the spectra were resolved with EVA Bruker-AXS software. The grain size analysis results are presented in three groups, particles between 2 mm and 63 µm, 63 µm and 2 µm and smaller than 2 µm. All samples were treated with peroxide (30%) before laser diffraction to remove organic matter particles. Grain size analysis was performed using a Microtrac MRB's Bluewave and a Partica HORIBA laser diffraction device. The 210Pb activities were obtained by assuming a secular equilibrium with 210Po and using a spike of 209Po. Samples were digested by acid solutions (HNO3, HCl, HF and HNO3+H2O2). Both polonium radionuclides were deposited on a silver disk and measured by alpha spectrometry using ORTEC detectors coupled to MaestroTM data acquisition software. 226Ra and 137Cs activity were assessed by high-resolution gamma spectrometry through a germanium detector (ORTEC). The ages, mass and sediment accumulation rates (MAR and SAR, respectively) were inferred by a Constant Flux model also known as Constant Rate of Supply model. All uncertainties were calculated by Monte Carlo method.
    Keywords: Arctic Ocean; chronology; estuaries; Lagoon; marine sediments; mineralogy; Nearshore; Permafrost coasts
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2024-01-08
    Keywords: Accumulation rate, mass, per year; Accumulation rate, mass, per year, uncertainty; Age; Age, uncertainty; Albite; Alpha spectrometry quadratic propagation; Amphibole; Arctic Ocean; Caesium-137; Caesium-137, uncertainty; Calcite; Chlorite; chronology; Density, dry bulk; Density, dry bulk, uncertainty; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dolomite; Elapsed time; Elapsed time, uncertainty; estuaries; Gamma spectrometry quadratic propagation; Halite; Illite; Kaolinite; Lagoon; Lead-210; Lead-210, uncertainty; Lead-210 excess; Lead-210 excess, uncertainty; marine sediments; Mass per area; Mass per area, standard deviation; Microcline; mineralogy; Monte Carlo; Nearshore; PCOR; Percussion corer; Permafrost coasts; Pyrite, FeS2; Pyroxene; Quadratic propagation; Quartz; Radium-226; Radium-226, uncertainty; Sample code/label; Section; Sedimentation rate per year; Sedimentation rate per year, uncertainty; Size fraction 〈 0.002 mm, clay; Size fraction 〈 0.002 mm, clay, standard deviation; Size fraction 0.002-0.00063 mm; Size fraction 0.002-0.00063 mm, standard deviation; Size fraction 1.000-0.063 mm; Size fraction 1.000-0.063 mm, standard deviation; Smectite; South Beaufort Sea; YC18_PB_SCO1
    Type: Dataset
    Format: text/tab-separated-values, 1804 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2024-01-08
    Keywords: Albite; Alpha spectrometry quadratic propagation; Amphibole; Arctic Ocean; Caesium-137, activity per mass; Caesium-137, uncertainty; Calcite; Chlorite; chronology; Density, dry bulk; Density, dry bulk, uncertainty; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dolomite; Dry mass; Dry mass, standard deviation; estuaries; Gamma spectrometry quadratic propagation; GCUWI; Gravity corer, UWITEC; Halite; Illite; Kaolinite; Lagoon; Lead-210, uncertainty; Lead-210 activity per mass; Lead-210 excess; Lead-210 excess, uncertainty; marine sediments; Mass per area; Mass per area, standard deviation; Microcline; mineralogy; Nearshore; Permafrost coasts; Pyrite, FeS2; Pyroxene; Quadratic propagation; Quartz; Radium-226, uncertainty; Radium-226 activity per mass; Sample code/label; Section; Size fraction 〈 0.002 mm, clay; Size fraction 〈 0.002 mm, clay, standard deviation; Size fraction 0.002-0.00063 mm; Size fraction 0.002-0.00063 mm, standard deviation; Size fraction 1.000-0.063 mm; Size fraction 1.000-0.063 mm, standard deviation; Smectite; YC18_HB_GCO1
    Type: Dataset
    Format: text/tab-separated-values, 1272 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 5
    Publication Date: 2024-01-08
    Keywords: Albite; Alpha spectrometry quadratic propagation; Amphibole; Arctic Ocean; Caesium-137; Caesium-137, uncertainty; Calcite; Chlorite; chronology; Density, dry bulk; Density, dry bulk, uncertainty; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dolomite; Dry mass; Dry mass, standard deviation; estuaries; Gamma spectrometry quadratic propagation; GCUWI; Gravity corer, UWITEC; Halite; Illite; Kaolinite; Lagoon; Lead-210; Lead-210, uncertainty; Lead-210 excess; Lead-210 excess, uncertainty; marine sediments; Mass per area; Mass per area, standard deviation; Microcline; mineralogy; Nearshore; Permafrost coasts; PG2303_1; Pyrite, FeS2; Pyroxene; Quadratic propagation; Quartz; Radium-226; Radium-226, uncertainty; Sample code/label; Section; Size fraction 〈 0.002 mm, clay; Size fraction 〈 0.002 mm, clay, standard deviation; Size fraction 0.002-0.00063 mm; Size fraction 0.002-0.00063 mm, standard deviation; Size fraction 1.000-0.063 mm; Size fraction 1.000-0.063 mm, standard deviation; Smectite; South Beaufort Sea
    Type: Dataset
    Format: text/tab-separated-values, 767 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 6
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Johnson, Maggie Dorothy; Rodriguez Bravo, Lucia M; O'Connor, Shevonne E; Varley, Nicholas F; Altieri, Andrew H (2019): pH Variability Exacerbates Effects of Ocean Acidification on a Caribbean Crustose Coralline Alga. Frontiers in Marine Science, 6, https://doi.org/10.3389/fmars.2019.00150
    Publication Date: 2024-03-15
    Description: Crustose coralline algae (CCA) are among the most sensitive marine taxa to the pH changes predicted with ocean acidification (OA). However, many CCA exist in habitats where diel cycles in pH can surpass near-future OA projections. The prevailing theory that natural variability increases the tolerance of calcifiers to OA has not been widely tested with tropical CCA. Here, we assess the response of the reef-building species Lithophyllum congestum to stable and variable pH treatments, including an ambient control (amb/stable). The amb/variable treatment simulated an ambient diel cycle in pH (7.65–7.95), OA/stable simulated constant low pH reflecting worst-case year 2100 predictions (7.7), and OA/variable combined diel cycling with lower mean pH (7.45–7.75). We monitored the effects of pH on total calcification rate and photophysiology (maximum quantum yield) over 16 weeks. To assess the potential for acclimatization, we also quantified calcification rates during the first (0–8 weeks), and second (8–16 weeks) halves of the experiment. Calcification rates were lower in all pH treatments relative to ambient controls and photophysiology was unaffected. At the end of the 16-week experiment, total calcification rates were similarly low in the amb/variable and OA/stable treatment (27–29%), whereas rates declined by double in the OA/variable treatment (60%). When comparing the first and second halves of the experiment, there was no acclimatization in stable treatments as calcification rates remained unchanged in both the amb/stable and OA/stable treatments. In contrast, calcification rates deteriorated between periods in the variable treatments: from a 16–47% reduction in the amb/variable treatment to a 49–79% reduction in the OA/variable treatment, relative to controls. Our findings provide compelling evidence that pH variability can heighten CCA sensitivity to reductions in pH. Moreover, the decline in calcification rate over time directly contrasts prevailing theory that variability inherently increases organismal tolerances to low pH, and suggests that mechanisms of tolerance may become limited with increasing time of exposure. The significant role of diel pH cycling in CCA responses to OA indicates that organisms in habitats with diel variability could respond more severely to rapid changes in ocean pH associated with OA than predicted by experiments conducted under static conditions.
    Keywords: Alkalinity, total; Alkalinity, total, standard error; Aragonite saturation state; Benthos; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Calcification rate, standard error; Calcification rate of calcium carbonate; Calcite saturation state; Calcite saturation state, standard error; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard error; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Laboratory experiment; Lithophyllum congestum; Macroalgae; Maximum photochemical quantum yield of photosystem II; Maximum photochemical quantum yield of photosystem II, standard error; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Partial pressure of carbon dioxide (water) at sea surface temperature (wet air), standard error; pH; pH, standard error; pH change; Plantae; Primary production/Photosynthesis; Registration number of species; Rhodophyta; Salinity; Salinity, standard error; Single species; Species; Temperature, water; Temperature, water, standard error; Treatment; Tropical; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 164 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 7
    Publication Date: 2024-03-15
    Description: Ocean acidification (OA) threatens the persistence of reef-building corals and the habitat they provide. While species-specific effects of OA on marine organisms could have cascading effects on ecological interactions like competition, few studies have identified how benthic reef competitors respond to OA. We explored how two common Caribbean competitors, branching Porites and a colonial zoanthid (Zoanthus), respond to the factorial combination of OA and competition. In the laboratory, we exposed corals, zoanthids and interacting corals and zoanthids to ambient (8.01 ± 0.03) and OA (7.68 ± 0.07) conditions for 60 days. The OA treatment had no measured effect on zoanthids or coral calcification but decreased Porites maximum PSII efficiency. Conversely, the competitive interaction significantly decreased Porites calcification but had minimal-to-no countereffects on the zoanthid. Although this interaction was not exacerbated by the 60-day OA exposure, environmental changes that enhance zoanthid performance could add to the dominance of zoanthids over corals. The lack of effects of OA on coral calcification indicates that near-term competitive interactions may have more immediate consequences for some corals than future global change scenarios. Disparate consequences of competition have implications for community structure and should be accounted for when evaluating local coral reef trajectories.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Benthic animals; Benthos; Bicarbonate ion; Bicarbonate ion, standard deviation; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Calcification rate of calcium carbonate; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using seacarb; Calculated using seacarb after Nisumaa et al. (2010); Calculated using seacarb after Orr et al. (2018); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Cnidaria; Coast and continental shelf; EXP; Experiment; Fragments; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Fugacity of carbon dioxide in seawater, standard deviation; Growth/Morphology; Identification; Island_Point; Laboratory experiment; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Photosynthetic efficiency; Polyp number; Porites furcata; Potentiometric; Potentiometric titration; Primary production/Photosynthesis; Salinity; Salinity, standard deviation; Species; Species interaction; Temperature, water; Temperature, water, standard deviation; Treatment; Tropical; Type; Zoanthus sp.
    Type: Dataset
    Format: text/tab-separated-values, 22876 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 8
    Publication Date: 2024-03-15
    Description: Prior exposure to variable environmental conditions is predicted to influence the resilience of marine organisms to global change. We conducted complementary 4-month field and laboratory experiments to understand how a dynamic, and sometimes extreme, environment influences growth rates of a tropical reef-building crustose coralline alga and its responses to ocean acidification (OA). Using a reciprocal transplant design, we quantified calcification rates of the Caribbean coralline Lithophyllum sp. at sites with a history of either extreme or moderate oxygen, temperature, and pH regimes. Calcification rates of in situ corallines at the extreme site were 90% lower than those at the moderate site, regardless of origin. Negative effects of corallines originating from the extreme site persisted even after transplanting to more optimal conditions for 20 weeks. In the laboratory, we tested the separate and combined effects of stress and variability by exposing corallines from the same sites to either ambient (Amb: pH 8.04) or acidified (OA: pH 7.70) stable conditions or variable (Var: pH 7.80-8.10) or acidified variable (OA-Var: pH 7.45-7.75) conditions. There was a negative effect of all pH treatments on Lithophyllum sp. calcification rates relative to the control, with lower calcification rates in corallines from the extreme site than from the moderate site in each treatment, indicative of a legacy effect of site origin on subsequent response to laboratory treatment. Our study provides ecologically relevant context to understanding the nuanced effects of OA on crustose coralline algae, and illustrates how local environmental regimes may influence the effects of global change.
    Keywords: Alkalinity, total; Alkalinity, total, standard error; Aragonite saturation state; Benthos; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Calcification rate of calcium carbonate; Calcite saturation state; Calcite saturation state, standard error; Calculated using seacarb; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard error; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Cayo_Roldan; Coast and continental shelf; Event label; EXP; Experiment; Field experiment; Flow rate; Flow rate, standard error; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Hospital_Point; Identification; Irradiance; Irradiance, standard error; Laboratory experiment; Lithophyllum sp.; Macroalgae; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Partial pressure of carbon dioxide (water) at sea surface temperature (wet air), standard error; pH; pH, standard error; Plantae; Potentiometric; Potentiometric titration; Replicate; Rhodophyta; Salinity; Salinity, standard error; Single species; Site; Species; Temperature, water; Temperature, water, standard error; Time point, descriptive; Treatment; Tropical; Type
    Type: Dataset
    Format: text/tab-separated-values, 15767 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...