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  • 1
    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    Keywords: Geophysics. ; Sedimentology. ; Geology. ; Geophysics. ; Sedimentology. ; Geology.
    Description / Table of Contents: Structural Style and Seismic Profile Characteristics -- Sedimentary Sequence and Seismic Response -- Seismic Response Characteristics of Typical Geologic bodies -- Seismic Geological Characteristics of Typical Oil and Gas Reservoirs.
    Abstract: This book offers readers a comprehensive introduction to the seismic and geological response characteristics of major tectonic types, typical reservoirs, and typical geological bodies in China, illustrated in diagrams. The book is divided into four sections, the first of which covers the typical structural styles of petroliferous basins in China. The second focuses on the seismic response of typical stratigraphic and sedimentary features. The third section addresses the seismic response characteristics of clastic geological bodies such as fan bodies, river phase sand bodies, and delta sand bodies, while the fourth describes three typical oil and gas reservoirs.
    Type of Medium: Online Resource
    Pages: VIII, 99 p. 233 illus., 225 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9789811567919
    Series Statement: SpringerBriefs in Earth Sciences,
    DDC: 550
    Language: English
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  • 2
    Call number: S 99.0139(240)
    In: Wissenschaftliche Arbeiten der Fachrichtung Vermessungswesen der Universität Hannover
    Type of Medium: Series available for loan
    Pages: x, 157 S.
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Vermessungswesen der Universität Hannover 240
    Classification:
    Measurement
    Location: Lower compact magazine
    Branch Library: GFZ Library
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  • 3
    Monograph available for loan
    Monograph available for loan
    Berlin : Springer
    Call number: 6/M 16.89656
    Description / Table of Contents: Geodetic datum (including coordinate datum, height datum, depth datum, gravimetry datum) and geodetic systems (including geodetic coordinate system, plane coordinate system, height system, gravimetry system) are the common foundations for every aspect of geomatics. This course book focuses on geodetic datum and geodetic systems, and describes the basic theories, techniques, methods of geodesy. The main themes include: the various techniques of geodetic data acquisition, geodetic datum and geodetic control networks, geoid and height systems, reference ellipsoid and geodetic coordinate systems, Gaussian projection and Gaussian plan coordinates and the establishment of geodetic coordinate systems. The framework of this book is based on several decades of lecture noted and the contents are developed systematically for a complete introduction to the geodetic foundations of geomatics.
    Description / Table of Contents: REVIEW: "The present work integrates both classical materials and modern developments in geodesy, it describes pure theoretical approaches and recent practical applications. The book can be used as a general textbook for undergraduates studying geomatics and survejing and mapping in higher education institutions. For technicians who are engaged in geomatic and surveying engineering, the book is strongly recommended as a basic and useful reference guide."
    Type of Medium: Monograph available for loan
    Pages: XXI, 401 S.
    ISBN: 9783642412455 , 9783642412448
    Classification:
    Geodesy
    Language: English
    Note: Introduction -- Geodetic Data Collection Techniques -- Geodetic datum and Geodetic Control Network -- Geoid and Height System -- Reference Ellipsoid and Geodetic Coordinate System -- Gauss and UTM Conformal Projection and Plane Rectangular Coordinate System -- Establishment of Geodetic Coordinate System
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  • 4
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Journal of Inorganic Biochemistry 54 (1994), S. 207-220 
    ISSN: 0162-0134
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 5
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    PANGAEA
    In:  Supplement to: Gao, Guang; Qu, Liming; Burgess, J Grant; Li, Xinshu; Xu, Juntian (2019): Future CO2-induced ocean acidification enhances resilience of a green tide alga to low-salinity stress. ICES Journal of Marine Science, https://doi.org/10.1093/icesjms/fsz135
    Publication Date: 2024-03-15
    Description: To understand how Ulva species might respond to salinity stress during future ocean acidification we cultured a green tide alga Ulva linza at various salinities (control salinity, 30 PSU; medium salinity, 20 PSU; low salinity, 10 PSU) and CO2 concentrations (400 and 1000 ppmv) for over 30 days. The results showed that, under the low salinity conditions, the thalli could not complete its whole life cycle. The specific growth rate (SGR) of juvenile thalli decreased significantly with reduced salinity but increased with a rise in CO2. Compared to the control, medium salinity also decreased the SGR of adult thalli at low CO2 but did not affect it at high CO2. Similar patterns were also found in relative electron transport rate (rETR), non-photochemical quenching, saturating irradiance, and Chl b content. Although medium salinity reduced net photosynthetic rate and maximum rETR at each CO2 level, these negative effects were significantly alleviated at high CO2 levels. In addition, nitrate reductase activity was reduced by medium salinity but enhanced by high CO2. These findings indicate that future ocean acidification would enhance U. linza's tolerance to low salinity stress and may thus facilitate the occurrence of green tides dominated by U. linza.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Benthos; Bicarbonate ion; Bicarbonate ion, standard deviation; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Carotenoids; Carotenoids, standard deviation; Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll b; Chlorophyll b, standard deviation; Chlorophyta; Coast and continental shelf; Electron transport rate, relative; Electron transport rate, relative, standard deviation; Electron transport rate efficiency; Electron transport rate efficiency, standard deviation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Generation span; Generation span, standard deviation; Growth; Growth/Morphology; Growth rate, standard deviation; Irradiance; Laboratory experiment; Lianyungang; Light saturation point; Light saturation point, standard deviation; Macroalgae; Maximal electron transport rate, relative; Maximal electron transport rate, relative, standard deviation; Net photosynthesis rate, oxygen; Net photosynthesis rate, standard deviation; Nitrate reductase activity; Nitrate reductase activity, standard deviation; Non photochemical quenching; Non photochemical quenching, standard deviation; 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; Plantae; Primary production/Photosynthesis; Registration number of species; Respiration; Respiration rate, oxygen; Respiration rate, oxygen, standard deviation; Salinity; SeaLevel; Single species; Species; Stage; Temperate; Temperature, water; Temperature, water, standard deviation; TGS; Tide gauge station; Treatment; Type; Ulva linza; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 1884 data points
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  • 6
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    PANGAEA
    In:  Supplement to: Cao, Ruiwen; Wang, Qing; Yang, Dinglong; Liu, Yongliang; Ran, Wen; Qu, Yi; Wu, Huifeng; Cong, Ming; Li, Fei; Ji, Chenglong; Zhao, Jianmin (2018): CO 2 -induced ocean acidification impairs the immune function of the Pacific oyster against Vibrio splendidus challenge: An integrated study from a cellular and proteomic perspective. Science of the Total Environment, 625, 1574-1583, https://doi.org/10.1016/j.scitotenv.2018.01.056
    Publication Date: 2024-03-15
    Description: Ocean acidification (OA) and pathogenic diseases pose a considerable threat to key species of marine ecosystem. However, few studies have investigated the combined impact of reduced seawater pH and pathogen challenge on the immune responses of marine invertebrates. In this study, Pacific oysters, Crassostrea gigas, were exposed to OA (~2000 ppm) for 28 days and then challenged with Vibrio splendidus for another 72 h. Hemocyte parameters showed that V. splendidus infection exacerbated the impaired oyster immune responses under OA exposure. An iTRAQ-based quantitative proteomic analysis revealed that C. gigas responded differently to OA stress and V. splendidus challenge, alone or in combination. Generally, OA appears to act via a generalized stress response by causing oxidative stress, which could lead to cellular injury and cause disruption to the cytoskeleton, protein turnover, immune responses and energy metabolism. V. splendidus challenge in oysters could suppress the immune system directly and lead to a disturbed cytoskeleton structure, increased protein turnover and energy metabolism suppression, without causing oxidative stress. The combined OA- and V. splendidus-treated oysters ultimately presented a similar, but stronger proteomic response pattern compared with OA treatment alone. Overall, the impaired oyster immune functions caused by OA exposure may have increased the risk of V. splendidus infection. These results have important implications for the impact of OA on disease outbreaks in marine invertebrates, which would have significant economic and ecological repercussions.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Benthic animals; Benthos; Bicarbonate ion; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Containers and aquaria (20-1000 L or 〈 1 m**2); Crassostrea gigas; Experiment duration; Fold change; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gene expression; Gene expression, standard deviation; Group; Hemocyte count; Hemocyte count, standard deviation; Immunology/Self-protection; Laboratory experiment; Mollusca; Name; North Pacific; Number of expressed proteins; OA-ICC; Ocean Acidification International Coordination Centre; Other; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Percentage; Percentage, standard deviation; pH; pH, standard deviation; Phagocytosis rate; Phagocytosis rate, standard deviation; Potentiometric; Potentiometric titration; Reactive oxygen species production; Reactive oxygen species production, standard deviation; Registration number of species; Salinity; Salinity, standard deviation; Single species; Species; Temperate; Temperature, water; Temperature, water, standard deviation; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 1458 data points
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  • 7
    Publication Date: 2024-03-15
    Description: Diatom responses to ocean acidification have been documented with variable and controversial results. We grew the coastal diatom Thalassiosira weissflogii under 410 (LC, pH 8.13) vs 1000 μatm (HC, pH 7.83) pCO2 and at different levels of light (80, 140, 220 μmol photons/m**2/s), and found that light level alters physiological responses to OA. CO2 concentrating mechanisms (CCMs) were down-regulated in the HC-grown cells across all the light levels, as reflected by lowered activity of the periplasmic carbonic anhydrase and decreased photosynthetic affinity for CO2 or dissolved inorganic carbon. The specific growth rate was, however, enhanced significantly by 9.2% only at the limiting low light level. These results indicate that rather than CO2 “fertilization”, the energy saved from down-regulation of CCMs promoted the growth rate of the diatom when light availability is low, in parallel with enhanced respiration under OA to cope with the acidic stress by providing extra energy.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Aragonite saturation state, standard deviation; Bicarbonate ion; Bicarbonate ion, standard deviation; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; 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; Carotenoids, standard deviation; Carotenoids/Chlorophyll a ratio; Carotenoids/Chlorophyll a ratio, standard deviation; Carotenoids per cell; Cell size; Cell size, standard deviation; Chlorophyll a, standard deviation; Chlorophyll a per cell; Chromista; Effective quantum yield; Effective quantum yield, standard deviation; Electron transport rate, relative; Electron transport rate, relative, standard deviation; Electron transport rate efficiency; Electron transport rate efficiency, standard deviation; Extracellular carbonic anhydrase activity, per cell; Extracellular carbonic anhydrase activity, standard deviation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Fugacity of carbon dioxide in seawater, standard deviation; Growth/Morphology; Growth rate; Growth rate, standard deviation; Laboratory experiment; Laboratory strains; Light; Light saturation point; Light saturation point, standard deviation; Maximal electron transport rate, relative; Maximal electron transport rate, relative, standard deviation; Maximum quantum yield of photosystem II; Maximum quantum yield of photosystem II, standard deviation; Net photosynthesis rate, oxygen, per cell; Net photosynthesis rate, oxygen, per chlorophyll a; Net photosynthesis rate, standard deviation; Non photochemical quenching; Non photochemical quenching, standard deviation; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Ochrophyta; Oxygen evolution, daytime; Oxygen evolution, daytime, standard deviation; Oxygen evolution per cell, daytime; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Phytoplankton; Primary production/Photosynthesis; Ratio; Ratio, standard deviation; Registration number of species; Respiration; Respiration rate, oxygen, per cell; Respiration rate, oxygen, per chlorophyll a; Respiration rate, oxygen, standard deviation; Salinity; Single species; Species; Temperature, water; Thalassiosira weissflogii; Time in days; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 4428 data points
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  • 8
    Publication Date: 2024-03-15
    Description: Eutrophic coastal regions are highly productive and greatly influenced by human activities. Primary production supporting the coastal ecosystems is supposed to be affected by progressive ocean acidification driven by increasing CO2 emissions. In order to investigate the effects of high pCO2 (HC) on eutrophic plankton community structure and ecological functions, we employed 9 mesocosms and carried out an experiment under ambient (410 ppmv) and future high (1000 ppmv) atmospheric pCO2 conditions, using in situ plankton community in Wuyuan Bay, East China Sea. Our results showed that HC along with natural seawater temperature rise significantly boosted biomass of diatoms with decreased abundance of dinoflagellates in the late stage of the experiment, demonstrating that HC repressed the succession from diatoms to dinoflagellates, a phenomenon observed during algal blooms in the East China Sea. HC did not significantly influence the primary production or biogenic silica contents of the phytoplankton assemblages. However, the HC treatments increased the abundance of viruses and heterotrophic bacteria, reflecting a refueling of nutrients for phytoplankton growth from virus-mediated cell lysis and bacterial degradation of organic matters. Conclusively, our results suggest that increasing CO2 concentrations can modulate plankton structure including the succession of phytoplankton community and the abundance of viruses and bacteria in eutrophic coastal waters, which may lead to altered biogeochemical cycles of carbon and nutrients.
    Keywords: Ammonium; Aragonite saturation state; Bacteria; Bicarbonate ion; Biogenic silica; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Cell density; Chlorophyll a; Coast and continental shelf; Community composition and diversity; Day of experiment; Entire community; EXP; Experiment; Field experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Mesocosm or benthocosm; Night period respiration, carbon; Nitrate; Nitrite; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phosphate; Primary production, carbon assimilation; Primary production/Photosynthesis; Replicates; Respiration; Salinity; Silicate; Temperate; Temperature, water; Treatment; Type; Viral abundance; Wuyuan_Bay_OA
    Type: Dataset
    Format: text/tab-separated-values, 6225 data points
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  • 9
    Publication Date: 2024-03-20
    Description: Ocean acidification (OA) has been found to increase the release of free Cu2+ in seawater. However, only a handful of studies have investigated the influence of OA on Cu accumulation and cellular toxicity in bivalve species. In this study, Pacific oysters, Crassostrea gigas, were exposed to 25 μg/L Cu2+ at three pH levels (8.1, 7.8 and 7.6) for 14 and 28 days. Physiological and histopathological parameters [(clearance rate (CR), respiration rate (RR), histopathological damage and condition index (CI)), oxidative stress and neurotoxicity biomarkers [superoxide dismutase (SOD) and glutathione transferase (GST) activities, lipid peroxidation (LPO) and acetylcholinesterase (AChE) activity], combined with glycolytic enzyme activities [pyruvate kinase (PK) and hexokinase (HK)] were investigated in C. gigas. The bioconcentration of Cu was increased in soft tissues of Cu-exposed oysters under OA. Our results suggest that both OA and Cu could lead to physiological disturbance, oxidative stress, cellular damage, disturbance in energy metabolism and neurotoxicity in oysters. The inhibited CR, increased glycolytic enzymes activities and decreased CI suggested that the energy metabolism strategy adopted by oysters was not sustainable in the long term. Furthermore, integrated biomarker response (IBR) results found that OA and Cu exposure lead to severe stress to oysters, and co-exposure was the most stressful condition. Results from this study highlight the need to include OA in future environmental assessments of pollutants and hazardous materials to better elucidate the risks of those environmental perturbations.
    Keywords: Acetylcholinesterase activity, standard deviation; Acetylcholinesterase activity, unit per protein mass; Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Behaviour; Benthic animals; Benthos; Bicarbonate ion; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Clearance rate; Clearance rate, standard deviation; Coast and continental shelf; Condition index; Condition index, standard deviation; Containers and aquaria (20-1000 L or 〈 1 m**2); Copper; Copper, standard deviation; Crassostrea gigas; Experiment day; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Glutathione S-transferase activity, standard deviation; Glutathione S-transferase activity, unit per protein mass; Hexokinase activity, per protein mass; Hexokinase activity, standard deviation; Inorganic toxins; Integrated biomarker response index; Laboratory experiment; Lipid peroxidation, per protein; Lipid peroxidation, standard deviation; Mollusca; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Other metabolic rates; Other studied parameter or process; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Potentiometric; Potentiometric titration; Pyruvate kinase activity, per protein; Pyruvate kinase activity, standard deviation; Replicates; Respiration; Respiration rate, oxygen; Respiration rate, oxygen, standard deviation; Salinity; Salinity, standard deviation; Single species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Superoxide dismutase activity, standard deviation; Superoxide dismutase activity, unit per protein mass; Temperate; Temperature, water; Temperature, water, standard deviation; Treatment; Type
    Type: Dataset
    Format: text/tab-separated-values, 732 data points
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  • 10
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    PANGAEA
    In:  Supplement to: Zhao, Xinguo; Han, Yu; Chen, Bijuan; Xia, Bin; Qu, Keming; Liu, Guangxu (2020): CO2-driven ocean acidification weakens mussel shell defense capacity and induces global molecular compensatory responses. Chemosphere, 243, 125415, https://doi.org/10.1016/j.chemosphere.2019.125415
    Publication Date: 2024-03-15
    Description: Oceanic uptake of atmospheric CO2 is reducing seawater pH and shifting carbonate chemistry within, a process termed as ocean acidification (OA). Marine mussels are a family of ecologically and economically significant bivalves that are widely distributed along coastal areas worldwide. Studies have demonstrated that OA greatly disrupts mussels' physiological functions. However, the underlying molecular responses (e.g., whether there were any molecular compensation mechanisms) and the extent to which OA affects mussel shell defense capacity remain largely unknown. In this study, the thick shell mussels Mytilus coruscus were exposed to the ambient pH (8.1) or one of two lowered pH levels (7.8 and 7.4) for 40 days. The results suggest that future OA will damage shell structure and weaken shell strength and shell closure strength, ultimately reducing mussel shell defense capacity. In addition, future OA will also disrupt haemolymph pH and Ca2+ homeostasis, leading to extracellular acidosis and Ca2+ deficiency. Mantle transcriptome analyses indicate that mussels will adopt a series of molecular compensatory responses to mitigate these adverse effects; nevertheless, weakened shell defense capacity will increase mussels' susceptibility to predators, parasites and pathogens, and thereby reduce their fitness. Overall, the findings of this study have significant ecological and economic implications, and will enhance our understanding of the future of the mussel aquaculture industry and coastal ecosystems.
    Keywords: Acid-base regulation; Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Area; Benthic animals; Benthos; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Dongtou_Island_OA; EXP; Experiment; Experiment duration; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Haemolymph, calcium ion; Haemolymph, pH; Laboratory experiment; Mollusca; Mytilus coruscus; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Other studied parameter or process; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Percentage; pH; pH, standard deviation; Potentiometric; Potentiometric titration; Registration number of species; Replicate; Salinity; Salinity, standard deviation; Shell strength; Single species; Size; Species; Temperate; Temperature, water; Temperature, water, standard deviation; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 3177 data points
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