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  • 1
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    Necroptotic–Apoptotic Regulation in an Endothelin-1 Model of Cerebral Ischemia (2020)
    Springer
    Details
    Publication Date: 2020-08-25
    Print ISSN: 0272-4340
    Electronic ISSN: 1573-6830
    Topics: Biology
    Published by Springer
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    PAPER CURRENT
  • 2
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    Component parts of the World Heat Flow Data Collection
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: Area/locality; Conductivity, average; Depth, bottom/max; Depth, top/min; ELEVATION; Heat flow; LATITUDE; LONGITUDE; Method comment; Number of conductivity measurements; Number of temperature data; Sample, optional label/labor no; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 200 data points
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    DATA PANGAEA
  • 3
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    Component parts of the World Heat Flow Data Collection
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: Area/locality; Conductivity, average; Depth, bottom/max; Depth, top/min; ELEVATION; Heat flow; LATITUDE; LONGITUDE; Method comment; Number; Number of conductivity measurements; Number of temperature data; Sample, optional label/labor no; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 1781 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 4
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    A 30-years collection of soil macro-invertebrate abundance data from the European Alps (2022)
    PANGAEA
    Details
    Publication Date: 2023-12-09
    Description: Here, we present abundance data from 20 soil macro-invertebrate groups from 22 different natural to artificial habitat types in the European Alps. The dataset contains data obtained from soil macro-invertebrate samples (i.e., soil blocks) collected between 1987 and 2020, with the majority of them already published individually in scientific journals. The purpose of this work is to collate the single datasets on Alpine soil macro-invertebrates to one uniform dataset, as such data is only sparsely available. We also want to appreciate the scientific lifework of our mentor and friend, the soil ecologist/soil zoologist Erwin Meyer (1948–2020). The samplings were mainly conducted by Erwin Meyer and his students at the University of Innsbruck (Austria) and Eurac Research (Italy). The assessments of the soil macro-invertebrate communities were part of several sampling campaigns including scientific projects, as well as diploma, master and doctoral theses. The sampling took place mainly during the vegetation period from April to October; in the alpine zone where snow can persist for a long time from June to September. The samples were taken in the following Alpine regions: Vorarlberg and Tirol (Austria), South Tyrol and Trentino (Italy), and the Canton of Uri (Switzerland). The abundance data is given as individuals per square metre (ind./m²) on order level (and species level in case of earthworms). Each row represents one single soil fauna sample. The event code (i.e., representing the different sampling plots) is composed of the sampling region (three letters capitalised), the habitat or plot code (three letters) and the replicate number of these plots (consecutive numbers). Additionally, to the soil fauna data, we present topographic data (elevation, exposition, inclination) as well as habitat classification (e.g., CORINE Land Cover (CLC) nomenclature code) and description.
    Keywords: abundance data; Ahrntal - Luttach, South Tyrol, Italy; Ahrntal - St. Jakob, South Tyrol, Italy; Ahrntal - St. Peter, South Tyrol, Italy; Allolobophora chlorotica; Alpine habitat; Altitude, reference; Aporrectodea caliginosa; Aporrectodea handlirschi; Aporrectodea rosea; Aporrectodea sp., juvenile; Araneae; Auer, South Tyrol, Italy; Barbian, South Tyrol, Italy; Bimastos parvus; Bimastos sp., juvenile; Bozen, South Tyrol, Italy; Bozen - Rentsch, South Tyrol, Italy; Brixen - Albeins, South Tyrol, Italy; Brixen - Elvas, South Tyrol, Italy; Brixen im Thale - Brixenbachtal, Tyrol, Austria; Brixen - Milland, South Tyrol, Italy; Brixen - Pfeffersberg, South Tyrol, Italy; Bruneck - Dietenheim, South Tyrol, Italy; Bruneck - Reischach, South Tyrol, Italy; Burgstall, South Tyrol, Italy; BXT-hay-03; BXT-hay-04; BXT-hay-08; BXT-pst-01; BXT-pst-02; BXT-pst-05; BXT-pst-06; BXT-pst-07; BXT-pst-09; BXT-pst-10; BXT-pst-11; BXT-pst-12; BXT-pst-13; BXT-pst-15; BXT-pst-24; Chilopoda; Code; Coleoptera; Coleoptera, larvae; Counting, Stereo Microscope; DATE/TIME; Dendrobaena cognettii; Dendrobaena octaedra; Dendrobaena sp., juvenile; Dendrodrilus rubidus; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; Dermaptera; Diplopoda; Diplura; Diptera, larvae; Earthworms; Eisenia fetida; Eisenia sp., juvenile; Eiseniella tetraedra; ELEVATION; Eppan an der Weinstraße - Frangart, South Tyrol, Italy; Eppan an der Weinstraße - Gand, South Tyrol, Italy; Eppan an der Weinstraße - Montiggl, South Tyrol, Italy; Eppan - Perdonig; Eppan - Perdonig, South Tyrol, Italy; EPP-oak-04; EPP-oak-15; EPP-oak-16; EPP-pin-01; EPP-pin-13; EPP-pin-19; European Alps; Event label; Exposition; Freienfeld - Stilfes, South Tyrol, Italy; Furkapass - ALPFOR Station, Uri, Switzerland; FUR-snb-01; FUR-snb-04; FUR-snb-05; Gais, South Tyrol, Italy; Gais - Uttenheim, South Tyrol, Italy; Gargazon, South Tyrol, Italy; Gastropoda; Geology, comment; Graun - Fischerhäuser, South Tyrol, Italy; Habitat; Heteroptera; Homoptera; Inclination; ING-snb-02; ING-snb-03; ING-snb-04; Isopoda; KAL-gma-01; KAL-gmc-01; KAL-gms-01; KAL-pcc-01; Kaltern an der Weinstraße - Plantaditsch, South Tyrol, Italy; Karneid - Kardaun, South Tyrol, Italy; Klausen, South Tyrol, Italy; LATITUDE; Latsch, South Tyrol, Italy; LAV-spr-01; Leifers, South Tyrol, Italy; Lepidoptera, larvae; Location; Location ID; Longiarü - Freina, South Tyrol, Italy; LONGITUDE; Lumbricidae; Lumbricidae, juvenile; Lumbricus castaneus; Lumbricus rubellus; Lumbricus sp., juvenile; Lumbricus terrestris; Lüsen, South Tyrol, Italy; Mals, South Tyrol, Italy; Mals - Schleis, South Tyrol, Italy; MAR-fra-01; MAR-gra-01; Margreid an der Weinstraße, South Tyrol, Italy; Margreid an der Weinstraße - Fennberg, South Tyrol, Italy; MAR-pst-01; MAR-shr-01; Martell - Madritschtal, South Tyrol, Italy; MAT-h15-01; MAT-h15-02; MAT-h15-03; MAT-l15-01; MAT-l15-02; MAT-l15-03; MAT-laF-01; MAT-laF-02; MAT-laF-03; MAT-lzF-01; MAT-lzF-02; MAT-lzF-03; MAT-p10-01; MAT-p10-02; MAT-p10-03; MAT-p15-01; MAT-p15-02; MAT-p15-03; MAT-p20-01; MAT-p20-02; MAT-p20-03; MAT-p25-01; MAT-p25-02; MAT-p25-03; Matrei in Osttirol - Innergschlöss, Tyrol, Austria; MAT-s15-01; MAT-s15-02; MAT-s15-03; Matsch, South Tyrol, Italy; Matsch - Muntatschinig, South Tyrol, Italy; Matsch - Oberettes Hütte, South Tyrol, Italy; Matsch - Runer Wald, South Tyrol, Italy; Matsch - Tartsch, South Tyrol, Italy; MAT-snb-01; MAT-snb-02; MAT-snb-03; MAT-ziF-01; MAT-ziF-02; MAT-ziF-03; Meran, South Tyrol, Italy; MÖG-btF-01; Möggers - Buchheimer Tobel, Vorarlberg, Austria; Möggers - Ramsach, Vorarlberg, Austria; MÖG-raF-01; Montan, South Tyrol, Italy; Montan - Pinzon, South Tyrol, Italy; Naturns, South Tyrol, Italy; Naturschutzgebiet Rheindelta, Vorarlberg, Austria; Natz-Schabs - Aicha, South Tyrol, Italy; NEN-raF-01; NEN-trF-01; Nenzing - Rabenstein, Vorarlberg, Austria; Nenzing - Trinahalda, Vorarlberg, Austria; Neumarkt, South Tyrol, Italy; Neumarkt - Mazon, South Tyrol, Italy; Number; Obergurgl - Brand; Obergurgl - Gurgler Scharte; Obergurgl - Lobbach; Obergurgl - Seenplatte; OBG-f28-01; OBG-g25-01; OBG-p19-01; OBG-p19-02; OBG-p19-03; OBG-s22-01; Octodrilus argoviense; Octodrilus sp., juvenile; Octolasion cyaneum; Octolasion lacteum; Octolasion sp., juvenile; Opiliones; Partschins, South Tyrol, Italy; Pauropoda; Percha, South Tyrol, Italy; Pfalzen - Issing, South Tyrol, Italy; Pfitsch - Burgum, South Tyrol, Italy; Pomarolo, Trentino, Italy; POM-mfr-01; Prad am Stilfser Joch, South Tyrol, Italy; Prettau, South Tyrol, Italy; Proctodrilus antipai; Protura; Pseudoscorpiones; Rasen-Antholz - Oberrasen, South Tyrol, Italy; RHD-mwi-01; RHD-mwi-02; RHD-mwi-03; RHD-pgN-01; RHD-pgN-02; RHD-pgN-03; RHD-pgS-01; RHD-pgS-02; RHD-pgS-03; RHD-vbu-01; RHD-vbu-02; RHD-vbu-03; RHD-wld-01; RHD-wld-02; RHD-wld-03; RHD-zmr-01; RHD-zmr-02; RHD-zmr-03; RIT-spr-01; RIT-spr-06; RIT-spr-08; RIT-spr-12; RIT-spr-25; Ritten, South Tyrol, Italy; Ritten - Signat, South Tyrol, Italy; Ritten - Unterinn, South Tyrol, Italy; RIT-zir-24; Salurn, South Tyrol, Italy; Sample area/volume; Sample ID; Sample type; Sand in Taufers - Kematen, South Tyrol, Italy; Sarntal - Kollmannberg, South Tyrol, Italy; Sarntal - Pens, South Tyrol, Italy; Sarntal - Penser Joch, South Tyrol, Italy; Sarntal - Reinswald, South Tyrol, Italy; Sarntal - Vormeswald, South Tyrol, Italy; Schluderns, South Tyrol, Italy; SDV-AOa-01; SDV-AOa-02; SDV-AOa-03; SDV-AOb-16; SDV-AOg-15; SDV-AOl-18; SDV-AOl-19; SDV-AOm-14; SDV-AOn-04; SDV-AOn-09; SDV-AOs-05; SDV-AOs-06; SDV-AOs-07; SDV-AOt-17; SDV-AOt-20; SDV-AOv-10; SDV-AOv-11; SDV-AOv-12; SDV-AOv-13; SDV-AOw-08; SDV-ARa-01; SDV-ARk-02; SDV-ARk-03; SDV-ARp-05; SDV-ARv-04; SDV-CCd-01; SDV-CCg-01; SDV-CCi-01; SDV-COm-01; SDV-COu-01; SDV-COv-01; SDV-HMa-08; SDV-HMa-09; SDV-HMa-10; SDV-HMb-01; SDV-HMb-03; SDV-HMd-11; SDV-HMf-06; SDV-HMl-07; SDV-HMm-15; SDV-HMn-05; SDV-HMs-13; SDV-HMs-14; SDV-HMv-02; SDV-HMw-16; SDV-HMz-04; SDV-KTk-04; SDV-KTk-05; SDV-KTp-01; SDV-KTr-02; SDV-KTr-03; SDV-MCe-01; SDV-MCf-01; SDV-MCr-01; SDV-MCs-01; SDV-PCb-01; SDV-PCp-01; SDV-PFa-01; SDV-PFa-02; SDV-PFa-03; SDV-PFa-04; SDV-PFp-05; SDV-PGa-01; SDV-PGm-02; SDV-PGm-03; SDV-PGn-04; SDV-PGp-05; SDV-POb-01; SDV-POg-01; SDV-POl-01; SDV-POw-01; SDV-VYa-01; SDV-VYb-05; SDV-VYb-06; SDV-VYe-14; SDV-VYe-15; SDV-VYk-02; SDV-VYk-07; SDV-VYm-11; SDV-VYm-12; SDV-VYn-10; SDV-VYp-13; SDV-VYr-09; SDV-VYs-04; SDV-VYt-03; SDV-VYz-08; Silbertal - Kristberg Ost, Vorarlberg, Austria; Silbertal - Kristberg West, Vorarlberg, Austria; SIL-koF-01; SIL-kwF-01; soil fauna; soil macro-invertebrates; SOILS; Soil sample; Soil type; St. Leonhard in Passeier - Walten, South Tyrol, Italy; St. Martin in Passeier, South Tyrol, Italy; STI-bME-01; STI-bMI-01; STI-bOA-01; STI-bOM-01; STI-gME-01; STI-gMI-01; STI-gOA-01; STI-gOM-01; STI-kME-01; STI-kMI-01; STI-kOA-01; STI-kOM-01; STI-mME-01; STI-mMI-01; STI-mOA-01; STI-mOM-01; STI-pME-01; STI-pMI-01; STI-pOA-01; STI-pOM-01; STI-uME-01; STI-uMI-01; STI-uOA-01; STI-uOM-01; Stubaital - Hoher Burgstall; Stubaital - Kaserstattalm; Stubaital - Kaserstattalm, Tryol, Austria; STU-bKA-01; STU-bKB-01; STU-bKC-01; STU-bKD-01; STU-bKE-01; STU-bKF-01; STU-bKG-01; STU-bKH-01; STU-bKR-01; STU-bKR-02; STU-bKR-03; STU-bSA-01; STU-bSB-01; STU-bSC-01; STU-bSR-01; STU-kAF-01; STU-kAM-01; STU-kAP-01; STU-kKW-01; STU-kMM-01; STU-kMP-01; STU-kMP-02; STU-kMP-03; STU-kSR-01; STU-kWH-01; Symphyla; Terlan - Siebeneich, South Tyrol, Italy; Terlan - Vilpian, South Tyrol, Italy; Thysanoptera; Tisens - Gfrill, South Tyrol, Italy; Tramin an der Weinstraße, South Tyrol, Italy; Villanders, South Tyrol, Italy; Ville di Fiemme - Lavazé, Trentino, Italy; Vintl - Niedervintl, South Tyrol, Italy; Vintl - Pfunders, South Tyrol, Italy; Völs am Schlern - Völserried, South Tyrol, Italy
    Type: Dataset
    Format: text/tab-separated-values, 97464 data points
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    DATA PANGAEA
  • 5
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    Biomass of herbivorous fishes of the Gulf of California (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-10
    Description: This data set integrates findings of 16 years (2005 to 2020) of collaborative monitoring efforts across multiple institutions in the Gulf of California.The data encompasses information of 13 species of marine herbivorous fishes belonging to five families: Acanthuridae, Girellidae, Kyphosidae, Pomacentridae and Scaridae. This database presents 884 records of biomass from 15,542 visual censuses assessed by scuba diving in 34 localities (comprising 268 rocky and coral reefs sites). Visual censuses consisted of belt transects (250 m2, 100 m2, and 60 m2) laid parallel to the coastline preserving a similar depth profiles. Along these transects, trained underwater monitors, identified the species, recorded the abundance of all the adult individuals of the 13 targeted species and visually estimated the total length (cm) of each fish. The information for each transect in the database, is presented as the biomass (grams per square meter), which was estimated based on the size per individual as well as the weight-length relationship for each species, available on the literature. In the database is also integrated the information of the latitude and longitude of each locality, type of management, localities in the Gulf of California, institutions, the initial and final year of data, total number of years, as well as the mean, standard deviation, sample size, slope (annual rate of change), probability value, standard error and minimum and maximum value calculated for each species within each locality. This dataset represents a historical reference point for the condition of the 13 species found in the Gulf of California. It can be used to perform evaluations of how herbivorous fish communities have changed over time and across different locations. This is particularly relevant due to the influence of global changes leading to tropicalization in the study area. Furthermore, this information holds significance as it supplies essential insights to those responsible for the management of protected zones in the Gulf and the broader eastern tropical Pacific region. communities have changed over time and across different locations. This is particularly relevant due to the influence of global changes leading to tropicalization in the study area. Furthermore, this information holds significance as it supplies essential insights to those responsible for the management of protected zones in the Gulf and the broader eastern tropical Pacific region.
    Keywords: Abundance; Activity description; Area/locality; Biomass; Calculated; density; Estimated; Event label; Family; GOC_Loc_1; GOC_Loc_10; GOC_Loc_11; GOC_Loc_12; GOC_Loc_13; GOC_Loc_14; GOC_Loc_15; GOC_Loc_16; GOC_Loc_17; GOC_Loc_18; GOC_Loc_19; GOC_Loc_2; GOC_Loc_20; GOC_Loc_21; GOC_Loc_22; GOC_Loc_23; GOC_Loc_24; GOC_Loc_25; GOC_Loc_26; GOC_Loc_27; GOC_Loc_28; GOC_Loc_29; GOC_Loc_3; GOC_Loc_30; GOC_Loc_31; GOC_Loc_32; GOC_Loc_33; GOC_Loc_34; GOC_Loc_4; GOC_Loc_5; GOC_Loc_6; GOC_Loc_7; GOC_Loc_8; GOC_Loc_9; Gulf of California; Herbivorous; Identification; Institution; Latitude of event; Longitude of event; Monitoring; Number of samples; Number of years; Probability; Probability, standard error; Rocky and coral reefs; SCUBA-DIVE; Slope; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Standard deviation; Year of observation; Zone
    Type: Dataset
    Format: text/tab-separated-values, 7849 data points
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    DATA PANGAEA
  • 6
    facet.materialart.
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    Density of herbivorous fishes of the Gulf of California (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-10
    Description: Through collaborative monitoring involving multiple academic, government, and civil institutions over a span of 16 years (2005 to 2020), we compiled 884 records of the density of 13 species of marine herbivorous fishes. The data was collected through 15,542 visual censuses conducted by scuba diving in 34 localities, encompassing 268 rocky and coral reef sites. These censuses utilized belt transects (250 m², 100 m², and 60 m²) parallel to the coastline at similar depth profiles. Trained underwater monitors recorded abundances of all adult individuals of the 13 targeted species along the transects. The information for each transect in the database is presented as the average fish density (individuals per square meter), estimated based on the abundance for each species. The database integrates information on latitude, longitude, type of management, localities in the Gulf of California, institutions, initial and final years of data collection, total number of years, as well as mean, standard deviation, sample size, slope (annual rate of change), probability value, standard error, and minimum and maximum values calculated for each species within each locality. This dataset serves as a historical benchmark for assessing the status of 13 species in the Gulf of California. It enables the examination of changes in herbivorous fish communities over time and across various locations, which is crucial given the impact of global changes leading to tropicalization in the study area. The data is particularly important for providing valuable insights to those managing protected areas in the Gulf and the broader eastern tropical Pacific region.
    Keywords: Abundance; Activity description; Area/locality; Calculated; density; Estimated; Event label; Family; GOC_Loc_1; GOC_Loc_10; GOC_Loc_11; GOC_Loc_12; GOC_Loc_13; GOC_Loc_14; GOC_Loc_15; GOC_Loc_16; GOC_Loc_17; GOC_Loc_18; GOC_Loc_19; GOC_Loc_2; GOC_Loc_20; GOC_Loc_21; GOC_Loc_22; GOC_Loc_23; GOC_Loc_24; GOC_Loc_25; GOC_Loc_26; GOC_Loc_27; GOC_Loc_28; GOC_Loc_29; GOC_Loc_3; GOC_Loc_30; GOC_Loc_31; GOC_Loc_32; GOC_Loc_33; GOC_Loc_34; GOC_Loc_4; GOC_Loc_5; GOC_Loc_6; GOC_Loc_7; GOC_Loc_8; GOC_Loc_9; Gulf of California; Herbivorous; Identification; Individuals per area; Institution; Latitude of event; Longitude of event; Monitoring; Number of samples; Number of years; Probability; Probability, standard error; Rocky and coral reefs; SCUBA-DIVE; Slope; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Standard deviation; Year of observation; Zone
    Type: Dataset
    Format: text/tab-separated-values, 7849 data points
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    DATA PANGAEA
  • 7
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    Seawater carbonate chemistry and biological processes of oysters Crassostrea virginica during experiments, 2010 (2010)
    PANGAEA
    In:  Supplement to: Beniash, Elia; Ivanina, Anna; Lieb, Nicholas S; Kurochkin, Ilya; Sokolova, Inna A (2010): Elevated level of carbon dioxide affects metabolism and shell formation in oysters Crassostrea virginica. Marine Ecology Progress Series, 419, 95-108, https://doi.org/10.3354/meps08841
    Details
    Publication Date: 2024-03-15
    Description: Estuarine organisms are exposed to periodic strong fluctuations in seawater pH driven by biological carbon dioxide (CO2) production, which may in the future be further exacerbated by the ocean acidification associated with the global rise in CO2. Calcium carbonate-producing marine species such as mollusks are expected to be vulnerable to acidification of estuarine waters, since elevated CO2 concentration and lower pH lead to a decrease in the degree of saturation of water with respect to calcium carbonate, potentially affecting biomineralization. Our study demonstrates that the increase in CO2 partial pressure (pCO2) in seawater and associated decrease in pH within the environmentally relevant range for estuaries have negative effects on physiology, rates of shell deposition and mechanical properties of the shells of eastern oysters Crassostrea virginica (Gmelin). High CO2 levels (pH ~7.5, pCO2 ~3500 µatm) caused significant increases in juvenile mortality rates and inhibited both shell and soft-body growth compared to the control conditions (pH ~8.2, pCO2 ~380 µatm). Furthermore, elevated CO2 concentrations resulted in higher standard metabolic rates in oyster juveniles, likely due to the higher energy cost of homeostasis. The high CO2 conditions also led to changes in the ultrastructure and mechanical properties of shells, including increased thickness of the calcite laths within the hypostracum and reduced hardness and fracture toughness of the shells, indicating that elevated CO2 levels have negative effects on the biomineralization process. These data strongly suggest that the rise in CO2 can impact physiology and biomineralization in marine calcifiers such as eastern oysters, threatening their survival and potentially leading to profound ecological and economic impacts in estuarine ecosystems.
    Keywords: Alkalinity, total; Animalia; Aragonite saturation state; Benthic animals; Benthos; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Clark type oxygen electrode (5300A, YSI); Closed-system respirometry, Clark-type oxygen electrodes (Qubit Systems); Coast and continental shelf; Crassostrea virginica; Crassostrea virginica, calcite folia thickness; Crassostrea virginica, gill, adenosine diphosphate; Crassostrea virginica, gill, adenosine monophosphate; Crassostrea virginica, gill, adenosine triphosphate; Crassostrea virginica, gill, adenylates; Crassostrea virginica, gill, carbonic anhydrase/actin ratio; Crassostrea virginica, mantle, carbonic anhydrase/actin ratio; Crassostrea virginica, weight; Crassostrea virginica, weight, dry; EPOCA; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; European Project on Ocean Acidification; Experimental treatment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Laboratory experiment; Leco microindenter equipped with a Vickers diamond indenter; Measured; Metabolic rate of oxygen per wet mass, standard; Microbalance XP 56 (Metler-Toledo); Mollusca; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Other studied parameter or process; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH meter (model 1671, Jenco Instruments); Respiration; Salinity; Sample ID; Scanning electron microscope (SEM); Single species; Spectrophotometry; Temperate; Temperature, water; TOC analyzer (Shimadzu); Vickers hardness, distance; Vickers hardness, division; Vickers hardness, load; Vickers hardness number
    Type: Dataset
    Format: text/tab-separated-values, 2519 data points
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  • 8
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    Interactive effects of salinity and elevated CO2 levels on juvenile eastern oysters, Crassostrea virginica (2012)
    PANGAEA
    In:  Supplement to: Dickinson, Gary H; Ivanina, Anna; Matoo, Omera B; Pörtner, Hans-Otto; Lannig, Gisela; Bock, C; Beniash, Elia; Sokolova, Inna M (2011): Interactive effects of salinity and elevated CO2 levels on juvenile eastern oysters, Crassostrea virginica. Journal of Experimental Biology, 215(1), 29-43, https://doi.org/10.1242/jeb.061481
    Details
    Publication Date: 2024-03-15
    Description: Rising levels of atmospheric CO2 lead to acidification of the ocean and alter seawater carbonate chemistry, which can negatively impact calcifying organisms, including mollusks. In estuaries, exposure to elevated CO2 levels often co-occurs with other stressors, such as reduced salinity, which enhances the acidification trend, affects ion and acid-base regulation of estuarine calcifiers and modifies their response to ocean acidification. We studied the interactive effects of salinity and partial pressure of CO2 (PCO2) on biomineralization and energy homeostasis in juveniles of the eastern oyster, Crassostrea virginica, a common estuarine bivalve. Juveniles were exposed for 11 weeks to one of two environmentally relevant salinities (30 or 15 PSU) either at current atmospheric PCO2 (400 µatm, normocapnia) or PCO2 projected by moderate IPCC scenarios for the year 2100 (700-800 µatm, hypercapnia). Exposure of the juvenile oysters to elevated PCO2 and/or low salinity led to a significant increase in mortality, reduction of tissue energy stores (glycogen and lipid) and negative soft tissue growth, indicating energy deficiency. Interestingly, tissue ATP levels were not affected by exposure to changing salinity and PCO2, suggesting that juvenile oysters maintain their cellular energy status at the expense of lipid and glycogen stores. At the same time, no compensatory upregulation of carbonic anhydrase activity was found under the conditions of low salinity and high PCO2. Metabolic profiling using magnetic resonance spectroscopy revealed altered metabolite status following low salinity exposure; specifically, acetate levels were lower in hypercapnic than in normocapnic individuals at low salinity. Combined exposure to hypercapnia and low salinity negatively affected mechanical properties of shells of the juveniles, resulting in reduced hardness and fracture resistance. Thus, our data suggest that the combined effects of elevated PCO2 and fluctuating salinity may jeopardize the survival of eastern oysters because of weakening of their shells and increased energy consumption.
    Keywords: Acetate; Adenosine diphosphate, per wet mass; Adenosine diphosphate/adenosine triphosphate ratio; Adenosine monophosphate, per wet mass; Adenosine triphosphate, per wet mass; Adenosine triphosphate+adenosine diphosphate+adenosine monophosphate; Adenylate energy charge; Alanine; Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Benthic animals; Benthos; Betaine; Bicarbonate ion; Bicarbonate ion, standard deviation; Biomass/Abundance/Elemental composition; Brackish waters; 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 ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Carbonic anhydrase activity, per protein; Comment; Containers and aquaria (20-1000 L or 〈 1 m**2); Crassostrea virginica; Crossing point for transcript; Esterase activity, per protein; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gene expression (incl. proteomics); Glucose; Glycogen; Identification; Laboratory experiment; Lipids, per wet mass; Lysine; Mass; Mollusca; mRNA gene expression, relative; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Other metabolic rates; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Potentiometric; Registration number of species; Salinity; Salinity, standard deviation; Sample ID; Single species; Species; Succinate; Sum of end members; Temperate; Temperature, water; Temperature, water, standard deviation; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 9613 data points
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    DATA PANGAEA
  • 9
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    Unknown
    Materials and Methods of Analysis for the Study of the Ainu Language (2024)
    Fondazione Università Ca' Foscari
    Details
    Publication Date: 2024-02-22
    Description: This volume is intended to be a practical manual to learn the basics of the Ainu language, in its varieties of Southern Hokkaidō and Sakhalin. Each lesson presents one specific topic that is investigated taking into account both varieties of the language. Three kinds of activities guide the student throughout each lesson to inductively make generalisations on the language that can be supported by linguistic evidence and, possibly, to revise the information they were given as a start of their analysis. In order to do this, the student learns to observe the data, recognize recurring patterns and exceptions, and formulate a description of the language behaviours illustrated by the given examples. At the end of each lesson the student actively gains knowledge of the Ainu language by producing themselves a set of descriptive rules. The course aims at giving the student some basic analytical tools to approach and analyse Ainu language sources. Furthermore, the student will gain knowledge about the genealogical relationship of the Ainu language and about important sociolinguistic issues relative to its past history and present status of vitality.
    Keywords: Endangered languages,Linguistics,Language teaching,Ainu,glottodidattica,ainu,linguistica,Language analysis
    Language: English
    Format: image/png
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    E-BOOK
  • 10
    Electronic Resource
    Electronic Resource
    Ruthenium(II) macrocyclic complexes with inert chloride and labile azines. Synthesis and properties of the macrocyclic complexes trans-chloro(azine)(1,4,8,11-tetraazacyclotetradecane)ruthenium(II), trans-[RuCl(cyclam)L]+ (1992)
    s.l. : American Chemical Society
    Inorganic chemistry 31 (1992), S. 3313-3316 
    Details
    ISSN: 1520-510X
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/ic00041a028
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    Paper (German National Licenses)
    Fulltext
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