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  • 2020-2024  (606)
  • 2005-2009
  • 2024  (606)
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  • 2020-2024  (606)
  • 2005-2009
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  • 1
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    De Gruyter | De Gruyter
    Publication Date: 2024-03-23
    Description: Fahr nicht betrunken Auto! Halte Dich (nicht) an Corona-Schutzmaßnahmen! – In den Medienöffentlichkeiten demokratischer Gesellschaften finden sich eindringliche audiovisuelle Appelle unterschiedlicher Akteur*innen, die im Namen des Gemeinwohls auf das Verhalten ihres Publikums abzielen. Das Buch entwickelt anhand solcher Social Advertisements und einer disziplinär vielseitigen theoretischen Auseinandersetzung einen diskursanalytischen Ansatz, der genuin filmisches Denken in sein Zentrum stellt und audiovisuelle Diskursformationen der Kritik zugänglich macht. An der Schwelle von Propaganda, Werbung und Öffentlichkeitsarbeit wird aus einer filmwissenschaftlichen Perspektive nach den Poetiken der Persuasion gefragt – den fiktionalen Möglichkeitsräumen, den Mensch- und Weltbildern im Spotformat. Durch umfangreiche Detailstudien eröffnet das Buch Zugänge zu drei zentralen Dimensionen von audiovisuellen Gemeinwohlappellen: der Pädagogik der negativen Zuschauergefühle, diskursprägenden Metaphern und dem Zeitschema der Prävention. Audiovisuelle Überzeugungsarbeit erscheint dabei nicht als unidirektionales rhetorisches Wirkungskalkül, sondern als Aushandlungsprozesse im Medium der filmischen Fiktion. Die Untersuchung versteht sich in dieser Reflexion medienspezifischer Aushandlungspraktiken als Beitrag zu einer interdisziplinären zeitgenössischen Öffentlichkeitsforschung. ; Fahr nicht betrunken Auto! Halte Dich (nicht) an Corona-Schutzmaßnahmen! – In den Medienöffentlichkeiten demokratischer Gesellschaften finden sich eindringliche audiovisuelle Appelle unterschiedlicher Akteur*innen, die im Namen des Gemeinwohls auf das Verhalten ihres Publikums abzielen. Das Buch entwickelt anhand solcher Social Advertisements und einer disziplinär vielseitigen theoretischen Auseinandersetzung einen diskursanalytischen Ansatz, der genuin filmisches Denken in sein Zentrum stellt und audiovisuelle Diskursformationen der Kritik zugänglich macht. An der Schwelle von Propaganda, Werbung und Öffentlichkeitsarbeit wird aus einer filmwissenschaftlichen Perspektive nach den Poetiken der Persuasion gefragt – den fiktionalen Möglichkeitsräumen, den Mensch- und Weltbildern im Spotformat. Durch umfangreiche Detailstudien eröffnet das Buch Zugänge zu drei zentralen Dimensionen von audiovisuellen Gemeinwohlappellen: der Pädagogik der negativen Zuschauergefühle, diskursprägenden Metaphern und dem Zeitschema der Prävention. Audiovisuelle Überzeugungsarbeit erscheint dabei nicht als unidirektionales rhetorisches Wirkungskalkül, sondern als Aushandlungsprozesse im Medium der filmischen Fiktion. Die Untersuchung versteht sich in dieser Reflexion medienspezifischer Aushandlungspraktiken als Beitrag zu einer interdisziplinären zeitgenössischen Öffentlichkeitsforschung. ; "Don't drink and drive!", "Respect Covid regulations!", or "Don't get the vaccine!": In the public spheres of democratic societies, there are many insistent audiovisual messages that appeal to the public in the name of the "common good". This monograph examines such social advertisements against a multi-disciplinary field of theoretical reference in order to develop a discourse-analytical approach. By analyzing films serving "mundane" purposes as cinematic forms of meaning-making, it opens up audiovisual discourse formations to aesthetic and political critique. This film studies perspective sheds new light on media practices where propaganda, advertising, and public relations intersect. What emerges through this analysis is a poetics of persuasion: a political instrumentalization of fictional worlds, with their inherent possible actions, responsibilities, and views of humanity, staged in the language of cinema. Drawing on a number of case studies, this book teases out three main elements of social advertising: the genre-specific pedagogy of negative audience feelings, cinematic metaphors that shape public media discourses, and the temporal structure of prevention. It shows that audiovisual persuasion is not a unidirectional rhetorical maneuver, but rather a process of negotiation, of shaping ideas and stances through the medium of cinematic fiction. Through this reflection of media-specific societal practices, the study contributes to the interdisciplinary research on contemporary public media spheres.
    Keywords: Propaganda ; Filmanalyse ; Persuasion ; Audiovisuelle Diskurse ; Werbung ; Gebrauchsfilm ; film analysis ; audiovisual discourse ; advertising ; utility film ; thema EDItEUR::A The Arts::AT Performing arts::ATF Films, cinema ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GT Interdisciplinary studies::GTZ General studies and General knowledge
    Language: German
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  • 2
    Publication Date: 2024-04-04
    Description: The COVID-19 pandemic and the restrictions that came with it led to unprecedented disruptions in learner development and put them at risk of poor developmental outcomes. It is thus important that the extent of the disruption on their development and the support needs of learners be investigated. Researching the impact of the disruption should focus on holistic development. In this book, the authors use multiple research approaches and methods of gathering data in their respective fields to examine the impact of the disruption and determine the support needs of learners. Data gathered through the different methods are processed and findings are presented. The findings have implications for both practice and future research in the fields of inclusive education, learner support, educational psychology, movement education, Life Orientation and curriculum development.
    Keywords: Bio-psycho-social-educational-spiritual approach;COVID-19;district-based support team;inclusive education;learner support;movement education;resilience;Life Orientation;school-based support team ; thema EDItEUR::J Society and Social Sciences::JN Education::JNC Educational psychology
    Language: English
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  • 3
    Publication Date: 2024-05-14
    Description: Physical, chemical and biogeochemical measurements derived from CTD-rosette deployments during three visits to site P3 (November to December, 2017) in the South Atlantic. Measurements were made during COMICS cruise DY086 on the RRS Discovery using a trace metal free Titanium Rosette (events 4, 7, 15, 19, 24, 26, 29) and a Stainless Steel Rosette (all other events). Physical parameters include temperature, salinity, density, photosynthetically active radiation and turbulence; chemical parameters include dissolved oxygen, dissolved oxygen saturation, nitrate, phosphate and silicate; biogeochemical parameters include turbidity, beam transmittance, beam attenuation, fluorescence, particulate organic carbon (POC), dissolved organic carbon (DOC), chlorophyll-a, net primary productivity (NPP), ambient leucine assimilation and bacterial cell count. To determine turbulence, a downward facing lowered acoustic doppler current profiler (LADCP, Teledyne Workhorse Monitor 300 kHz ADCP) was attached to the CTD frame. Shear and strain, which are obtained from velocity and density measurements, were used to estimate the dissipation rate of turbulent kinetic energy and the diapycnal eddy diffusivity from a fine-scale parameterisation. Estimates are calculated by parameterising internal wave-wave interactions and assuming that wave breaking modulates turbulent mixing. A detailed description of the method for calculating diffusivity from LADCP and CTD can be found in Kunze et al. (2006). Two datasets with different vertical resolutions were produced: one in which the shear is integrated from 150 to 300 m and the strain over 20-150 m, and one in which the shear is integrated from 70 to 200 m and the strain over 30-200 m. Nutrients (nitrate, phosphate, silicate) were determined via colourimetric analysis (see cruise report, Giering and Sanders, 2019), POC was determined as described in Giering et al. (2023), DOC and DOC flux were determined as described in Lovecchio et al. (2023), NPP was determined as described in Poulton et al. (2019), and ambient leucine assimilation and bacterial cell count were determined as described in Rayne et al. (2024). Bacterial abundance and leucine assimilation were made from bottle samples of six CTD casts of the stainless-steel rosette. Water was collected at six depths (6 m, deep-chlorophyll maximum, mixed layer depth + 10, 100, 250 and 500 m). Acid-cleaned HDPE carboys and tubing were used for sampling. Samples were then stored in the dark and at in-situ temperature prior to on-board laboratory sample preparation or analysis. Flow cytometry was used to measure bacterial abundance. Room temperature paraformaldehyde was used to fix 1.6 ml samples for 30 minutes. Then, using liquid nitrogen, the samples were flash frozen and stored at -80°C. Samples were then defrosted before being stained using SYBR Green I and run through the flow cytometer (BD FACSort™). The method of Hill et al. (2013) was applied to determine prokaryotic leucine assimilation using L-[4,5-³H] leucine which has a specific activity of 89.3 Ci/mmol­. In the mixed and upper layers of the water column, the protocol in Zubkov et al. (2007) was followed. Below the mixed layer, adaptions to the method included reducing the concentration of ³H-Leucine to 0.005, 0.01, 0.025, 0.04 and 0.05 nM; increasing experimental volumes to 30 ml; enhancing incubation times to 30, 60, 90 and 120 min. These adaptions were made to improve accuracy where lower rates of leucine assimilation were expected. Data were provided by the British Oceanographic Data Centre and funded by the National Environment Research Council.
    Keywords: 74EQ20171115; Angular scattering coefficient, 700 nm; Attenuation, optical beam transmission; Bacteria; Barometer, Paroscientific, Digiquartz TC; biological carbon pump; Calculated; Calculated according to UNESCO (1983); Calculation according to Kunze et al. (2006); Carbon, organic, dissolved; Carbon, organic, dissolved, flux; Carbon, organic, particulate; Chlorophyll a; Colorimetric analysis; COMICS; Conductivity sensor, SEA-BIRD SBE 4C; Controls over Ocean Mesopelagic Interior Carbon Storage; CTD/Rosette; CTD-RO; DATE/TIME; Density, sigma-theta (0); DEPTH, water; Discovery (2013); Dissipation rate; Dissolved Oxygen Sensor, Sea-Bird, SBE 43 and SBE 43F; DY086; DY086_CTD002; DY086_CTD003; DY086_CTD004; DY086_CTD005; DY086_CTD006; DY086_CTD007; DY086_CTD008; DY086_CTD009; DY086_CTD010; DY086_CTD015; DY086_CTD016; DY086_CTD017; DY086_CTD018; DY086_CTD019; DY086_CTD020; DY086_CTD021; DY086_CTD022; DY086_CTD023; DY086_CTD024; DY086_CTD026; DY086_CTD027; DY086_CTD028; DY086_CTD029; DY086_CTD030; DY086_CTD031; DY086_CTD032; DY086_CTD033; Eddy diffusivity; Event label; Flow cytometer, Becton Dickinson, FACSort; Fluorometer, Chelsea Instruments, Aquatracka MKIII; fluxes; High Temperature Catalytic Oxidation, Shimadzu TOC-VCPN; LATITUDE; Leucine uptake rate; Liquid scintillation counter, Packard, TRI-CARB 3100TR; LONGITUDE; marine biogeochemistry; Net primary production of carbon; Nitrate; Organic Elemental Analyzer, Thermo Fisher Scientific, Flash 2000; Oxygen; Oxygen saturation; PAR sensor, Biospherical, LI-COR, SN 70510; PAR sensor, Biospherical, LI-COR, SN 70520; Phosphate; Radiation, photosynthetically active; Radioassays, liquid scintillation counting; Salinity; Scattering meter, WET Labs, ECO-BB OBS; Silicate; Site; SUMMER; Sustainable Management of Mesopelagic Resources; Temperature, water; Temperature sensor, SEA-BIRD SBE 3Plus; Transmissometer, WET Labs, C-Star
    Type: Dataset
    Format: text/tab-separated-values, 171794 data points
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  • 4
    Publication Date: 2024-04-13
    Description: Trees structure the Earth's most biodiverse ecosystem, tropical forests. The vast number of tree species presents a formidable challenge to understanding these forests, including their response to environmental change, as very little is known about most tropical tree species. A focus on the common species may circumvent this challenge. Here we investigate abundance patterns of common tree species using inventory data on 1,003,805 trees with trunk diameters of at least 10 cm across 1,568 locations1-6 in closed-canopy, structurally intact old-growth tropical forests in Africa, Amazonia and Southeast Asia. We estimate that 2.2%, 2.2% and 2.3% of species comprise 50% of the tropical trees in these regions, respectively. Extrapolating across all closed-canopy tropical forests, we estimate that just 1,053 species comprise half of Earth's 800 billion tropical trees with trunk diameters of at least 10 cm. Despite differing biogeographic, climatic and anthropogenic histories7, we find notably consistent patterns of common species and species abundance distributions across the continents. This suggests that fundamental mechanisms of tree community assembly may apply to all tropical forests. Resampling analyses show that the most common species are likely to belong to a manageable list of known species, enabling targeted efforts to understand their ecology. Although they do not detract from the importance of rare species, our results open new opportunities to understand the world's most diverse forests, including modelling their response to environmental change, by focusing on the common species that constitute the majority of their trees.
    Keywords: Multidisciplinary ; ABUNDANCE DISTRIBUTIONS ; ALPHA-DIVERSITY ; PLANT DIVERSITY ; FORESTS ; BIOMASS
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 5
    Publication Date: 2024-04-27
    Description: Discrete measurements of particulate organic carbon (POC) concentration and flux were made on the RRS Discovery during COMICS cruise DY086 at site P3 in the South Atlantic from November to December, 2017 (Giering et al. 2023). Data is from a variety of equipment including marine snow catchers, neutrally-buoyant sediment traps (PELAGRA) and a stand-alone pump system. Marine snow catchers settled on-deck for 2 hours. Slow sinking particles were collected from the base and fast sinking particles were collected from the tray. These data were used along with bottle POC data to calibrate glider backscatter data from the GOCART project.
    Keywords: 74EQ20171115; biological carbon pump; Carbon, organic, particulate; Carbon, organic, particulate, flux; COMICS; Controls over Ocean Mesopelagic Interior Carbon Storage; Date/Time of event; DEPTH, water; Discovery (2013); DY086; DY086_MSC006; DY086_MSC007; DY086_MSC010; DY086_MSC015; DY086_MSC016; DY086_MSC019; DY086_MSC020; DY086_MSC022; DY086_MSC027; DY086_MSC028; DY086_MSC029; DY086_MSC034; DY086_MSC035; DY086_MSC036; DY086_MSC037; DY086_MSC038; DY086_MSC039; DY086_MSC040; DY086_MSC061; DY086_MSC062; DY086_MSC063; DY086_MSC067; DY086_MSC068; DY086_MSC069; DY086_MSC071; DY086_MSC072; DY086_MSC076; DY086_MSC077; DY086_MSC078; DY086_MSC079; DY086_MSC081; DY086_MSC082; DY086_MSC083; DY086_MSC084; DY086_MSC093; DY086_MSC094; DY086_MSC099; DY086_MSC100; DY086_MSC101; DY086_MSC103; DY086_MSC104; DY086_MSC105; DY086_MSC106; DY086_MSC111; DY086_MSC112; DY086_MSC113; DY086_MSC114; DY086_MSC125; DY086_MSC126; DY086_MSC127; DY086_MSC128; DY086_Pelagra006; DY086_Pelagra007; DY086_Pelagra008; DY086_Pelagra009; DY086_Pelagra010; DY086_Pelagra011; DY086_Pelagra012; DY086_Pelagra013; DY086_Pelagra014; DY086_Pelagra015; DY086_Pelagra016; DY086_Pelagra017; DY086_Pelagra018; DY086_Pelagra019; DY086_Pelagra020; DY086_Pelagra021; DY086_Pelagra022; DY086_Pelagra023; DY086_Pelagra024; DY086_Pelagra025; DY086_Pelagra026; DY086_Pelagra027; DY086_Pelagra028; DY086_Pelagra029; DY086_Pelagra030; DY086_Pelagra031; DY086_Pelagra032; DY086_Pelagra033; DY086_Pelagra034; DY086_Pelagra035; DY086_Pelagra036; DY086_Pelagra037; DY086_Pelagra038; DY086_SAPS001; DY086_SAPS002; DY086_SAPS003; DY086_SAPS004; DY086_SAPS005; Event label; fluxes; Latitude of event; Longitude of event; marine biogeochemistry; Marine snow catcher; MSC; PELAGRA; SAPS; Site; Stand-alone pumps; SUMMER; Sustainable Management of Mesopelagic Resources; Trap, sediment, drifting
    Type: Dataset
    Format: text/tab-separated-values, 366 data points
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  • 6
    Publication Date: 2024-05-02
    Description: Sedimentary marine core E-8X (Longitude 4.98° Latitude 55.63°) was originally recovered in the Danish Sector of the North Sea by Maersk Oil & Gas, and the well was spudded and completed in 1994. The resulting sedimentary cores are stored at GEUS (Geological Survey of Denmark and Greenland). The section of core E-8X that was used for this study is 6 m long (from 2027 to 2021 m composite depth) and encompasses the Lista Formation (uppermost Ve Member and Bue Member) and the Sele Formation (lower part), corresponding to the uppermost Paleocene and lowermost Eocene. The core was sampled and analysed between 2016 and 2020 to reconstruct paleoenvironmental changes during the Paleocene-Eocene Thermal Maximum (PETM), including carbon cycle disruption, bottom water redox changes and water circulation. This collection comprises ẟ13Corg and total organic carbon (TOC) data, relative abundances of various oxides via conventional and portable XRF analysis, clay mineralogy, SEM investigations on pyrite framboid diameters, molybdenum isotopes data and total surfur concentrations.
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 7
    Publication Date: 2024-04-27
    Description: Data derived from net catches for zooplankton and micronekton during the COMICS cruise DY086 in November to December, 2017. Raw catch counts and biomass measurements have been used alongside published values to provide biomass, respiration and ingestion data between 0 and 500 metres depth (Belcher et al. 2022, Cook et al. 2023, Stowasser et al. 2020). Data values are from multiple net deployments and the number of deployments for each value are provided in the dataset. Bongo, Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS) and Rectangular Midwater Trawl (RMT) nets collected small (100 μm mesh; day only), medium (330 μm mesh; day and night) and large (4000 μm mesh; day and night) samples, respectively.
    Keywords: 74EQ20171115; biological carbon pump; biology; BONGO; Bongo net; Calculated; COMICS; Controls over Ocean Mesopelagic Interior Carbon Storage; Date/Time of event; Date/Time of event 2; DEPTH, water; Depth, water, bottom/maximum; Depth, water, top/minimum; Discovery (2013); DY086; DY086_Bongo_P3A; DY086_Bongo_P3B; DY086_Bongo_P3C; DY086_MOCNESS_P3B; DY086_MOCNESS_P3C; DY086_RMT_P3A; DY086_RMT_P3B; DY086_RMT_P3C; Event label; fluxes; Latitude of event; Longitude of event; marine biogeochemistry; Mean values; MOC; MOCNESS opening/closing plankton net; Rectangular midwater trawl; RMT; Run Number; Runs; Site; SUMMER; Sustainable Management of Mesopelagic Resources; Time of day; Zooplankton and micronekton, biomass as carbon; Zooplankton and micronekton, ingestion rate as carbon; Zooplankton and micronekton, respiration rate as carbon
    Type: Dataset
    Format: text/tab-separated-values, 500 data points
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  • 8
    Publication Date: 2024-06-12
    Description: Using a new global compilation of deep-sea 14C/C, we estimated (in Rafter et al. 2022) the average D14C (units of per mil) and 14C ventilation age (units of years) over the last 25,000 years for the deep Pacific, Atlantic, and Southern Oceans. Particularly, we estimated these basin averages for mid-depth waters (between the 27.5 to 28.0 neutral density surfaces) and bottom waters (having a neutral density 〉28.0). These basin averages are calculated using LOESS smoothing, but see the original text for more details. Our reasons for uploading this new data are: (1) An earlier dataset here contained an error for the mid-depth Atlantic; (2) Earlier datasets did not include the trends as D14C values; and (3) Earlier datasets did not include the Raw data (the data before normalization). We have corrected this with the new submission. Please cite the Rafter et al. 2022 when using this dataset.
    Keywords: 0050PG; 0066PG; 145-883; 145-887; 146-893A; 167-1019A; 202-1240; 202-1242A; 341-U1419; 35MF20120125, OISO_21, INDIEN SUD 2; 47396B; 50-37KL; 64-480; 90b; AII125-8-55; AII125-8-56; Akademik M.A. Lavrentiev; ALV-3887-1549-004-007; ALV-3887-1549-004-009; ALV-3887-1549-004-012; ALV-3890-1407-003-001; ALV-3891-1459-003-002; ALV-3891-1758-006-003; AMOCINT, IMAGES XVII; ANT-XI/4; ANT-XXIII/9; ANT-XXVI/2; Argentine Basin; ARK-II/5; ARK-X/2; Azores; B34-91; BC; Bering Sea; Binary Object; BO04-PC11; Box corer; Brazil Basin; Burdwood_Bank; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Calypso Square Core System; Canarias Sea; Cape_Horn; Caribbean Sea; CASQ; CASQS; CD159; CD159-10; CD159-15; CD159-17; CD38-17P; Celtic Sea; Cenderawasih Bay; Central Pacific; CH84-14; Charles Darwin; CHAT_10k; CHAT_16k; CHAT-3K; CHAT-5K; Chatham Rise; COMPCORE; Composite Core; Conrad Rise; Core; CORE; Core1471; Core2088; Core21210009; Core2307; Core2631; Core2657; Core2706; Core2774; Core47396; Core654; Core660; Core936; Corner Rise; Denmark Strait; Drake Passage; DRILL; Drilling/drill rig; Eastern Equatorial Pacific; Eastern slope of Kurile Basin; East Pacific; Emperor Seamounts; EN06601; EN066-39GGC; Endeavor; Equatorial East Pacific; ESTASE1; EW0408; EW0408-26JC; EW0408-85JC; EW0408-87JC; Exp341; F2-92-P3; F8-90-G21; File content; Galapagos; Galápagos Islands; GC; GC_POI; GeoB1503-1; GeoB2104-3; GeoB7149-2; GeoB7162-6; GeoB7163-7; GeoB7167-6; GGC; GGC5; gh02-1030; Giant box corer; Giant gravity corer; Giant piston corer; GIK17940-1; GIK23243-2 PS05/431; GKG; Glomar Challenger; GPC; Gravity corer; Gravity corer (Kiel type); Gravity corer (POI); GS07-150-17/1GC-A; GS07-150-20/2A; Gulf of Alaska; Gulf of California; H209; H213; HH12-946MC; HU72-021-7; HU89038-8PC; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES V; IMAGES VIII - MONA; IMAGES VII - WEPAMA; IMAGES XII - MARCO POLO; IMAGES XV - Pachiderme; Indian Ocean; INOPEX; Interim_Seamount; Japan Trench; Jean Charcot; JM-FI-19PC; Joides Resolution; JPC; JPC30; JT96-09; JT96-09PC; Jumbo Piston Core; KAL; KALMAR II; Kasten corer; KL; KN_USA; KN11002; KN159-5; Knorr; KNR073-04-003; KNR110-50; KNR110-66; KNR110-82a; KNR110-82GGC; KNR140; KNR140-01JPC; KNR140-02JPC; KNR140-12JPC; KNR140-2-12JPC; KNR140-2-22JPC; KNR140-22JPC; KNR140-2-30GGC; KNR140-2-51GGC; KNR140-26GGC; KNR140-30GGC; KNR140-37JPC; KNR140-39GGC; KNR140-43GGC; KNR140-50GGC; KNR140-51GGC; KNR140-56GGC; KNR140-66GGC; KNR159-5; KNR159-5-36GGC; KNR159-5-78GGC; KNR176-17GC; KNR178; KNR178-2GGC; KNR178-32JPC; KNR195-5-CDH23; KNR195-5-CDH26; KNR195-5-CDH41; KNR195-5-GGC43; KNR197-10; KNR197-10CDH42; KNR197-10-CDH42; KNR197-10-CDH46; KNR197-10-GGC17; KNR197-10-GGC36; KNR197-10-GGC5; KNR198-CDH36; KNR198-GGC15; KNR31GPC5; KNR733P; KNR734P; KNR736P; KOL; KOMEX; KOMEX II; KR02-15-PC06; Kronotsky Peninsula; KT89-18-P4; Lakshadweep Sea; Laurentian fan; Leg145; Leg146; Leg167; Leg202; Leg64; Le Suroît; LPAZ21P; LV27/GREGORY; LV27-2-4; LV29-114-3; LV29-2; M16/2; M23/2; Marion Dufresne (1972); Marion Dufresne (1995); Maurice Ewing; Mazatlan; MCSEIS; MD012378; MD01-2378; MD012386; MD01-2386; MD012416; MD01-2416; MD012420; MD01-2420; MD022489; MD02-2489; MD022519; MD02-2519; MD03-2697; MD03-2707; MD052896; MD05-2896; MD052904; MD05-2904; MD07-3076; MD07-3076Q; MD07-3088; MD08-3169; MD08-3180; MD09-3256; MD09-3256Q; MD09-3257; MD106; MD111; MD114; MD122; MD12-3396Cq; MD126; MD13; MD134; MD147; MD159; MD168; MD173; MD189; MD77-176; MD972106; MD97-2106; MD972120; MD97-2120; MD972121; MD97-2121; MD972138; MD97-2138; MD982165; MD98-2165; MD982181; MD98-2181; MD99-2334; ME0005A; ME0005A-24JC; ME0005A-43JC; Melville; Meteor (1986); ML1208-01PC; MONITOR MONSUN; MR01-K03; MR06-04_PC04A; MUC; Multichannel seismics; MultiCorer; MV99-GC38; MV99-MC17/GC32/PC10; MV99-MC19/GC31/PC08; NEMO; Nesmeyanov25-1-GGC15; Nesmeyanov25-1-GGC18; Nesmeyanov25-1-GGC20; Nesmeyanov25-1-GGC27; New_England_Seamounts; North Atlantic; North Greenland Sea; North Pacific/Gulf of California/BASIN; North Pacific Ocean; Northwest Atlantic; Norwegian Sea; OCE326-GGC14; OCE326-GGC26; OCE326-GGC5; off Chile; off Nova Scotia; OSIRIS III; Pacific Ocean; PALEOCINAT; PC; Philippine Sea; PICABIA; Piston corer; Piston corer (BGR type); Piston corer (Kiel type); PLDS-007G; PLDS-1; Pleiades; Polarstern; PS05; PS1243-2; PS2606-6; PS2644-2; PS30; PS30/144; PS31; PS31/160; PS69; PS69/907-2; PS69/912-3; PS69/912-4; PS75/059-2; PS75/100-4; PS75/104-1; PS75 BIPOMAC; PUCK; RAPiD-10-1P; RAPiD-15-4P; RAPiD-17-5P; RBDASS05; RC24; RC24-8GC; RC27; RC27-14; RC27-23; Remote operated vehicle; RETRO-2; RNDB-GGC15; RNDB-GGC5; RNDB-PC11; RNDB-PC13; Robert Conrad; ROV; RR0503-36JPC; RR0503-41JPC; RR0503-64JPC; RR0503-79JPC; RR0503-831C; RR0503-83GC; S67-FFC15; S794; S931; Sakhalin shelf and slope; Sars_Seamount; Scotia Sea; Sea of Okhotsk; SEDCO; Sediment corer; Shackleton_Fracture_Zone; SHAK03-6K; SHAK05-3K; SHAK06-4K; SHAK06-5K; SHAK10-10K; SHAK14-4G; Shirshov Ridge; SK129-CR2; SL; Smithsonian_48735.1; SO156/2; SO156/3; SO161/3; SO161/3_22; SO178; SO178-13-6; SO201/2; SO201-2-101; SO201-2-12KL; SO201-2-77; SO201-2-85; SO202/1; SO202/1_18-6; SO213/2; SO213/2_76-2; SO213/2_79-2; SO213/2_82-1; SO213/2_84-1; SO95; Sonne; SOPATRA; South Atlantic; South Atlantic Ocean; South China Sea; Southern Alaska Margin: Tectonics, Climate and Sedimentation; South of Iceland; South Pacific Ocean; South Tasman Rise; Southwest Pacific Ocean; SPOC; Station 6, MD189-3396; SU90-08; Thomas G. Thompson (1964); Thomas Washington; Timor Sea; TNO57-21; TR163-22; TR163-23; TR163-31; TT154-10; TTN13-18; TTXXX; U938; V34; V34-98; V35; V35-5; V35-6; Vema; Vigo; VINO19-4-GGC17; VINO19-4-GGC37; VM21-29; VM21-30; VM23-81; VM28-122; VM28-238; VNTR01; VNTR01-10GC; W8709A; W8709A-13; Wecoma
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
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  • 9
    Publication Date: 2024-05-17
    Description: Automated sensors have potential to standardize and expand the monitoring of insects across the globe. As one of the most scalable and fastest developing sensor technologies, we describe a framework for automated, image-based monitoring of nocturnal insects—from sensor development and field deployment to workflows for data processing and publishing. Sensors comprise a light to attract insects, a camera for collecting images and a computer for scheduling, data storage and processing. Metadata is important to describe sampling schedules that balance the capture of relevant ecological information against power and data storage limitations. Large data volumes of images from automated systems necessitate scalable and effective data processing. We describe computer vision approaches for the detection, tracking and classification of insects, including models built from existing aggregations of labelled insect images. Data from automated camera systems necessitate approaches that account for inherent biases. We advocate models that explicitly correct for bias in species occurrence or abundance estimates resulting from the imperfect detection of species or individuals present during sampling occasions. We propose ten priorities towards a step-change in automated monitoring of nocturnal insects, a vital task in the face of rapid biodiversity loss from global threats. This article is part of the theme issue ‘Towards a toolkit for global insect biodiversity monitoring’.
    Keywords: biodiversity monitoring ; machine learning ; moths ; camera trap
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 10
    Publication Date: 2024-04-06
    Description: The volume, dedicated to the 44th International Conference of the Italian Union for Drawing, investigates the theme of ‘Transitions’, which particularly effectively represents our time and the current condition of the discipline of Drawing. The term, beyond its generic meaning of an intermediate stage in a process in which a condition changes from one state to another, has always been used in various fields, from music to geophysics. In fact, the disciplines of drawing have always been confronted with themes and issues relating to transitions from one condition to another. The history of representation tells us of transformations, even epochal ones, relating to ‘drawing’, with all that such transitions entail: suffice it to think of the evolution of forms of representation, of instrumental apparatuses, of the mutability of supports, of the analogical-digital transition underway, of the new modes of communication on platforms, of the hypertrophic offer of images also on the net that confirms Guy Debord’s intuitions relating to the new spectacularisation of society. Similarly, representation triggers transitions in the prefiguration and communication of design, the anticipation and foreshadowing of future events.The challenges posed by the digital pose open questions whose scope can only be glimpsed, such as the relationship between drawing and the act of modelling, and the construction of new paradigms of visual language and communication. ‘Transitions’, almost implicitly, points to possible futures, the evolution of technique and the search for new modes of expression; at the same time, however, it can suggest silences and reflections in a process of connection between history, theory, criticism and construction.
    Keywords: Transitions ; Cross ; Modulate ; Develop ; Drawing ; Science of Representation ; thema EDItEUR::A The Arts::AM Architecture::AMC Architectural structure and design ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBG Engineering graphics and draughting / technical drawing ; thema EDItEUR::A The Arts::AG The Arts: treatments and subjects::AGZ The Arts: techniques and principles
    Language: Italian , English , Spanish
    Format: image/jpeg
    Format: image/jpeg
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