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  • 2020-2024  (166,031)
  • 1985-1989  (1,263,409)
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  • 1
    Publication Date: 2024-05-20
    Description: Abstract
    Description: This dataset contains orientation data for foliations (n=773) and lineations (n=512) from the central Tauern Window collected during fieldwork in the years 2016 to 2019. The data is distributed in the form of shapefiles for easy use with GIS software. It can be displayed conveniently using the symbology files that are also part of the dataset.
    Keywords: structural data ; orientation data ; lineation ; foliation ; schistosity ; coordinates ; GIS ; 4DMB ; 4D Mountain Building ; tectonics ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC LANDFORMS 〉 FOLDS ; information 〉 information system 〉 geographic information system ; science 〉 natural science 〉 earth science 〉 geology 〉 tectonics
    Type: Dataset , Dataset
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  • 2
    Publication Date: 2024-05-20
    Description: Meta menardi (Latreille, 1804) and M. bourneti Simon, 1922 (Araneae: Tetragnathidae) are ubiquitous inhabitants of the twilight zone of most hypogean sites across Europe. The two species are broadly distributed in Italy, including Sicily, where they show a remarkable segregation along the altitudinal gradient of Mount Etna. Thanks to our recent sampling activities in this area, we create a georeferenced dataset allowing the application of Species Distribution Modelling aiming at evaluating the current and the future habitat in light of the impacts caused by climate change on the local populations. We predicted a relatively wide suitable area for M bourneti, ranging from the sea level up to 1100 m a.sl., whereas for M. menardi the suitable area encompasses a narrow mid altitude strip, extending halfway between the areas suitable for M. bourneti, and the highly unsuitable volcanic uplands, heavily disturbed by the volcanic activity. The averaged future predictions for 2070 under RCP 8.5 scenario, show that M. bourneti will expand its range upwards, in areas that are now suitable for M. menardi. In turn, predictions for M. menardi indicate an extreme reduction of the current strip of suitable habitat, likely determining its local extinction. Our findings are further corroborated by the analysis of the bioclimatic niche of the two species assessed via multidimensional Hutchinsonian hypervolume, being much smaller in M. menardi compared to of M. bourneti. In light of our results, it seems likely that having wider climatic preference, M. bourneti will substitute M. menardi in most of its current range in Sicily. Future interventions aiming at the conservation of M. menardi on Mount Etna are strongly advised.
    Description: Published
    Description: e02699
    Description: OSA2: Evoluzione climatica: effetti e loro mitigazione
    Description: JCR Journal
    Keywords: Cave-dwelling spiders ; Mount Etna ; Lava caves ; Climate change ; Niche segregation ; Species distribution modelling
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 3
    Publication Date: 2024-05-20
    Description: The destructive (Mw 3.9) earthquake of 21 August 2017 re-opened the question on where magma resides at the Ischia island volcano. The peculiar complexity of the seismic source initiated the debate on the involvement of fluid-related processes, but the magmatic origin of the event remains uncertain. Here we use ground displacement and broadband seismic data to investigate the magmatic system of Ischia volcano, where progressive underplating of mafic material at mid-crustal depth feeds the deep structures, which are characterized by exceptionally high seismic velocity and are connected with a shallow crystal mush. Although no direct evidence of large molten volumes was found, strong anisotropy suggests that the crystal mush is pervaded by magma-intruded dykes. We propose that the 2017 event was due to a negative tensile deformation caused by depressurization of supercritical fluids along a shallow southwest (SW-)-dipping fault defined by receiver functions (RFs) data, which acted as a valve regulating the overpressure of deep magmatic fluids.
    Description: Published
    Description: 303
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 4
    Publication Date: 2024-05-20
    Description: Although rare, temporally and taxonomically highly-resolved palaeoecological studies with high chronological precision are essential to perform detailed comparisons with precisely dated independent evidence such as archaeological findings, historical events, or palaeoclimatic data. Using a new highly-resolved and chronologically precise sedimentary record from Lago di Mezzano (central Italy), we reconstruct decadal-scale vegetation, species diversity, and fire dynamics, aiming to better understand the linkages between climate, land use, fire, and plant communities from the Neolithic to the Copper Age (c. 5100–3100 cal. BC). Closed, mixed beech-oak forests, including evergreen Quercus ilex, dominated the landscape around Lago di Mezzano during the Neolithic and were disturbed by repeated opening phases, with important implications for lake biogeochemistry and mixing regimes. This was in conjunction with increasing fire activity to promote agro-pastoral practices, as inferred from increasing charcoal, Cerealia type, Triticum type, Hordeum type, Plantago lanceolata type, and Urtica pollen. Fires, on their turn, augmented species diversity (richness and evenness). The comparison of the Mediterranean record from Lago di Mezzano with available continuous and high-precision submediterranean and cool-temperate palynological sequences suggests comparable land use pulses across Southern and Central European regions, most likely in connection with climate change. The outcomes of this study are not only of palaeoecological and archaeological interest; they may also help to improve projections of ecosystem dynamics under future global change.
    Description: In press
    Description: OSA2: Evoluzione climatica: effetti e loro mitigazione
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 5
    Publication Date: 2024-05-20
    Description: Observations of the tidal response of celestial bodies quantified by the Love numbers are highly relevant in planetary geophysical investigations because they provide unique insight into the interior structures. For example, the high sensitivity of tidal deformations to the properties of the oceans detected beneath the icy surfaces of some moons is of paramount importance for investigations of their habitability. We present here PyALMA3, a software framework developed in Python devoted to the computation of planetary Love numbers. PyALMA3 is based on ALMA3, a previous version developed in Fortran. Conversion to Python significantly improves the accessibility and portability of the software. We tested PyALMA3 by applying it to the exploration of the tidal responses of Europa and the other Galilean moons. We show that accurate modeling of effects such as the viscoelastic deformations of ice and the water density gradient in the ocean (variations of 2–3% on the real part of k2) will be important in the context of geophysical investigations that will be conducted by future missions targeting icy moons, such as Europa Clipper and JUICE.
    Description: Published
    Description: 116120
    Description: JCR Journal
    Keywords: Galilean satellites ; Tides ; Planetary interior ; Ocean planets
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 6
    Publication Date: 2024-05-20
    Description: When approximating elliptic problems by using specialized approximation techniques, we obtain large structured matrices whose analysis provides information on the stability of the method. Here we provide spectral and norm estimates for matrix-sequences arising from the approximation of the Laplacian via ad hoc finite differences. The analysis involves several tools from matrix theory and in particular from the setting of Toeplitz operators and Generalized Locally Toeplitz matrix-sequences. Several numerical experiments are conducted, which confirm the correctness of the theoretical findings.
    Description: Published
    Description: 10-43
    Description: JCR Journal
    Keywords: Toeplitz matrix ; Generating function and spectral symbol ; Approximation of differential operators
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 7
    Publication Date: 2024-05-20
    Description: The Canary and Madeira Islands are two distinct hotspots in the Central-East Atlantic that are close to each other. Their volcanism is generally attributed to underlying mantle plumes, but the detailed structure of these plumes is still not well understood. The thermal and compositional structure of the plume introduces complexities in the phase transitions of the mantle, which impact the depth and magnitude of seismic discontinuities. We use 1,268 high-quality receiver functions from stations located at the two hotspots to detect P-to-s converted phases through a common-conversion point stacking approach and conduct a detailed analysis of mantle seismic discontinuities. The results show that both hotspots are characterized by a thin mantle transition zone (MTZ), with sharp 410 and 660 discontinuities at depths of 428–421 km and 647–664 km, beneath the Canaries and Madeira respectively. The results indicate that the Canary plume crosses the MTZ, whereas the Madeira plume mainly influences the upper portion of the MTZ. Furthermore, we find reliable detections of a sharp X discontinuity beneath the Canaries at 287 km. Its presence suggests the accumulation of silica-rich recycled eclogite at these depths. We also use the amplitudes of P410s and PXs to derive velocity jumps at corresponding discontinuities. Based on these measurements, we estimate that the basalt proportion is 60%–80%, with accumulation being more significant in the Canaries than in Madeira. The MTZ thickness, the presence of the X discontinuity, and the high basalt proportion provide compelling evidence for a deep-rooted thermochemical plume beneath the study area.
    Description: Published
    Description: e2023JB028195
    Description: OST1 Alla ricerca dei Motori Geodinamici
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 8
    Publication Date: 2024-05-20
    Description: To ensure the long-term sustainable use of African Great Lakes (AGL), and to better understand the functioning of these ecosystems, authorities, managers and scientists need regularly collected scientific data and information of key environmental indicators over multi-years to make informed decisions. Monitoring is regularly conducted at some sites across AGL; while at others sites, it is rare or conducted irregularly in response to sporadic funding or short-term projects/studies. Managers and scientists working on the AGL thus often lack critical long-term data to evaluate and gauge ongoing changes. Hence, we propose a multi-lake approach to harmonize data collection modalities for better understanding of regional and global environmental impacts on AGL. Climate variability has had strong impacts on all AGL in the recent past. Although these lakes have specific characteristics, their limnological cycles show many similarities. Because different anthropogenic pressures take place at the different AGL, harmonized multilake monitoring will provide comparable data to address the main drivers of concern (climate versus regional anthropogenic impact). To realize harmonized long-term multi-lake monitoring, the approach will need: (1) support of a wide community of researchers and managers; (2) political goodwill towards a common goal for such monitoring; and (3) sufficient capacity (e.g., institutional, financial, human and logistic resources) for its implementation. This paper presents an assessment of the state of monitoring the AGL and possible approaches to realize a long-term, multi-lake harmonized monitoring strategy. Key parameters are proposed. The support of national and regional authorities is necessary as each AGL crosses international boundaries.
    Description: Published
    Description: 101988
    Description: JCR Journal
    Keywords: Fisheries ; Limnology ; Pollution ; Biodiversity ; Climate change ; Erosion
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 9
    Publication Date: 2024-05-20
    Description: Background: The genus Clavicornaltica Scherer 1974 consists of very small, soil-dwelling flea beetles in South, Southeast and East Asia. Due to their diminutive size and morphological similarities, very little is known about their ecology and taxonomical diversity. It is likely that further studies will reveal this genus to be much more speciose than the 30 species currently recognised. New information: A new species of Clavicornaltica from Brunei Darussalam is described, C. mataikanensis Otani et al., sp. nov. This is the second species of this genus recorded from Ulu Temburong National Park.
    Keywords: Lowland Dipterocarp rainforest ; citizen science ; new species ; humicole beetles ; taxonomy ; tourism
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 10
    Publication Date: 2024-05-20
    Description: Type material of some South American species in the Museum für Naturkunde Berlin, belonging to different families is documented. It includes 16 species: Bulimus cuneus L. Pfeiffer, 1854, Bulimus proteus Broderip, 1832, Bulimus scalarioides L. Pfeiffer, 1867, Bulimus similaris J. Moricand, 1856, Andinia (Ehrmanniella) dedicata Weyrauch & Zilch, 1954, Helix hettneriana E. von Martens, 1897, Eurycampta hidalgonis Döring, 1877, Helix aequatoris L. Pfeiffer, 1860, Helix bituberculata L. Pfeiffer, 1853, Helix bourcieri L. Pfeiffer, 1853, Helix neogranadensis L. Pfeiffer, 1845, Cyclostoma (Cyclophorus) bourcieri L. Pfeiffer, 1854, and Helix platygyra Albers, 1857. The concept of the “salvation” of type material is explained.
    Keywords: Achatinidae ; Bulimulidae ; Clausiliidae ; Epiphragmophoridae ; Labyrinthidae ; Neocyclotidae ; Scolodontidae
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 11
    Publication Date: 2024-05-20
    Description: The genus Micronecta Kirkaldy, 1897 is the most species-rich genus in the family Micronectidae, containing more than 160 species. Micronecta is currently divided into 11 subgenera, five of which are monotypic. Moreover, the subgenus Micronecta is an empirical mixture group. The definitions of some subgenera were based on only a few aberrant morphological features, which are specializations with few phylogenetic significances. The relationship between these subgenera remains unclear. In this study, we newly sequenced mitochondrial genomes (mitogenomes) and nuclear rDNAs (nrDNAs) for 13 Micronecta species, representing seven subgenera, and those for ten other water bugs. Our phylogenetic analyses showed that the subgenus Lundbladella represents the sister group to all other studied subgenera of Micronecta. The subgenus Unguinecta was the sister group to the clade that contains Dichaetonecta and Sigmonecta. More importantly, the subgenus Micronecta represents a paraphyletic group, which further forms a monophyletic group together with the subgenera Basileonecta and Ctenonecta. This is for the first time that the phylogeny of the genus Micronecta was investigated based on molecular data and the paraphyly of the subgenus Micronecta was revealed. Such evidence suggested the necessity of the revision of the taxonomic system of the genus in the future, and may also serve as a reference for the delimitation of subgeneric characters.
    Keywords: Aquatic insects ; Corixoidea ; Nepomorpha ; water boatmen ; phylogeny ; subgenus
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 12
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    Naturalis Biodiversity Center
    In:  Blumea: Biodiversity, Evolution and Biogeography of Plants vol. 65 no. 3, pp. 205-211
    Publication Date: 2024-05-20
    Description: A phylogenetic analysis on specimen level was made in possible support of a multivariate analysis of the Calamus javensis complex. Nine species, at some time recognized within the complex, and several recognisable forms were included. The phylogenetic markers used were the nuclear 5S spacer (5S nrDNA) and the chloroplast Maturase K (matK). The Bayesian analysis showed that only 5S provided some resolution. The 50 % majority rule consensus showed one major polytomy with a few supported groups, which were mainly morphologically unsupported pairs of specimens. However, one group, the form C. tenompokensis (the only distinct group in a multivariate analysis) is morphologically distinct and phylogenetically monophyletic and can be recognized as a species. Of all other recognizable forms, we only consider C. acuminatus to be regarded as a variety as it was not supported in the morphometric analysis.
    Keywords: Plant Science ; Ecology ; Evolution ; Behavior and Systematics ; Calamoideae ; Calamus javensis ; chloroplast DNA ; intraspecific variation ; matK ; molecular phylogeny ; nuclear DNA ; paraphyletic ; rattan
    Repository Name: National Museum of Natural History, Netherlands
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  • 13
    Publication Date: 2024-05-20
    Description: Snakebite envenoming is a priority Neglected Tropical Disease that causes an estimated 81,000–135,000 fatalities each year. The development of a new generation of safer, affordable, and accessible antivenom therapies is urgently needed. With this goal in mind, rigorous characterisation of the specific toxins in snake venom is key to generating novel therapies for snakebite. Monoclonal antibodies directed against venom toxins are emerging as potentially strong candidates in the development of new snakebite diagnostics and treatment. Venoms comprise many different toxins of which several are responsible for their pathological effects. Due to the large variability of venoms within and between species, formulations of combinations of human antibodies are proposed as the next generation antivenoms. Here a high-throughput screening method employing antibody-based ligand fishing of venom toxins in 384 filter-well plate format has been developed to determine the antibody target/s The approach uses Protein G beads for antibody capture followed by exposure to a full venom or purified toxins to bind their respective ligand toxin(s). This is followed by a washing/centrifugation step to remove non-binding toxins and an in-well tryptic digest. Finally, peptides from each well are analysed by nanoLC-MS/MS and subsequent Mascot database searching to identify the bound toxin/s for each antibody under investigation. The approach was successfully validated to rapidly screen antibodies sourced from hybridomas, derived from venom-immunised mice expressing either regular human antibodies or heavy-chain-only human antibodies (HCAbs).
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 14
    Publication Date: 2024-05-20
    Description: Currently there are several problems with the genus-level taxa within the Scolodontidae. Multiple type-species designations have been proposed for some genera, type species are poorly described, and in some cases no clear decisions have been made in cases of homonymy or synonymy. This has resulted in wrongly identified species and genera within this group, which, among other problems, hinders the discovery and description of new species as well as the identification of known species. This paper is the first in a series in which all scolodontid genera will be redescribed based on type materials, starting with Happia Bourguignat, 1890 and its allies. Nomenclatural issues are resolved where possible. One new genus and a new species are described: Luteostriatella gen. nov. and Austroselenites pichinchense sp. nov. The following new combinations are made: Happia andia (Pilsbry, 1932) comb. nov., Systrophiella altivaga (Crawford, 1939) comb. nov., Systrophiella cayennensis (L. Pfeiffer, 1842) comb. nov., Systrophiella pygmea (Spix in Spix & Wagner, 1827) comb. nov., Systrophiella snethlagei (F. Baker, 1913) comb. nov., Systrophiella vitrina ( J.A. Wagner in Spix & Wagner, 1827) comb. nov., and Luteostriatella variegata (F. Haas, 1949) comb. nov.
    Keywords: Neotropics ; South America ; Mollusca ; Gastropoda ; Eupulmonata ; Scolodontina
    Repository Name: National Museum of Natural History, Netherlands
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  • 15
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    Naturalis Biodiversity Center
    In:  Blumea: Biodiversity, Evolution and Biogeography of Plants vol. 65 no. 3, pp. 188-203
    Publication Date: 2024-05-20
    Description: The following 24 new synonyms in the orchid genus Oberonia are proposed, correct name (synonym(s)): O. aporophylla (O. longirepens); O. bertoldii (O. gracillima, O. laeta); O. bifida (O. celebica, O. fissiglossa); O. brunoniana (O. wallichii, O. saintberchmansii); O. costeriana (O. vulcanica); O. ensiformis (O. vesiculifera); O. griffithiana (O. khuongii); O. heliophila (O. asperula, O. rivularis, O. inversiflora, O. hosokawai); O. obcordata (O. menghaiensis); O. pachyphylla (O. janae); O. pachystachya (O. trignonoglossa); O. rhizomatosa (O. repens, O. torana, O. ponapensis, O. chenii, Hippeophyllum microphyllum); O. spathipetala (O. odontopetala, O. pectinata). Oberonia anicpita is not a distinct name introduced by Náves in F.M.Blanco but an orthographic variant of O. anceps, itself a synonym of O. lycopodioides. The spelling of several species epithets in honour of Takahide Hosokawa, a man, are corrected to hosokawai: Carpesium hosokawae (Asteraceae), Glochidion hosokawae (Phyllanthaceae), Pandanus hosokawae (Pandanaceae), Psychotria hosokawae (Rubiaceae), Eria hosokawae, Microtatorchis hosokawae, Habenaria hosokawae, Moerenhoutia hosokawae (all Orchidaceae).
    Keywords: Plant Science ; Ecology ; Evolution ; Behavior and Systematics ; nomenclature ; taxonomic vandalism ; typification ; variability
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 16
    Publication Date: 2024-05-20
    Description: Bees are important actors in terrestrial ecosystems and are recognised for their prominent role as pollinators. In the Iberian Peninsula, approximately 1,100 bee species are known, with nearly 100 of these species being endemic to the Peninsula. A reference collection of DNA barcodes, based on morphologically identified bee specimens, representing 514 Iberian species, was constructed. The "InBIO Barcoding Initiative Database: DNA Barcodes of Iberian bees" dataset contains records of 1,059 sequenced specimens. The species of this dataset correspond to about 47% of Iberian bee species diversity and 21% of endemic species diversity. For peninsular Portugal only, the corresponding coverage is 71% and 50%. Specimens were collected between 2014 and 2022 and are deposited in the research collection of Thomas Wood (Naturalis Biodiversity Center, The Netherlands), in the FLOWer Lab collection at the University of Coimbra (Portugal), in the Andreia Penado collection at the Natural History and Science Museum of the University of Porto (MHNC-UP) (Portugal) and in the InBIO Barcoding Initiative (IBI) reference collection (Vairão, Portugal).
    Keywords: Hymenoptera ; occurrence records ; species distributions ; peninsular Portugal ; peninsular ; Spain ; DNA barcode ; cytochrome c oxidase subunit I (COI) ; pollinator
    Repository Name: National Museum of Natural History, Netherlands
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  • 17
    Publication Date: 2024-05-20
    Description: The possibility that the Amazon forest system could soon reach a tipping point, inducing large-scale collapse, has raised global concern. For 65 million years, Amazonian forests remained relatively resilient to climatic variability. Now, the region is increasingly exposed to unprecedented stress from warming temperatures, extreme droughts, deforestation and fires, even in central and remote parts of the system. Long existing feedbacks between the forest and environmental conditions are being replaced by novel feedbacks that modify ecosystem resilience, increasing the risk of critical transition. Here we analyse existing evidence for five major drivers of water stress on Amazonian forests, as well as potential critical thresholds of those drivers that, if crossed, could trigger local, regional or even biome-wide forest collapse. By combining spatial information on various disturbances, we estimate that by 2050, 10% to 47% of Amazonian forests will be exposed to compounding disturbances that may trigger unexpected ecosystem transitions and potentially exacerbate regional climate change. Using examples of disturbed forests across the Amazon, we identify the three most plausible ecosystem trajectories, involving diferent feedbacks and environmental conditions. We discuss how the inherent complexity of the Amazon adds uncertainty about future dynamics, but also reveals opportunities for action. Keeping the Amazon forest resilient in the Anthropocene will depend on a combination of local eforts to end deforestation and degradation and to expand restoration, with global eforts to stop greenhouse gas emissions.
    Repository Name: National Museum of Natural History, Netherlands
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  • 18
    Publication Date: 2024-05-19
    Description: 〈jats:p〉Only a few palaeo-records extend beyond the Holocene in Yakutia, eastern Siberia, since most of the lakes in the region are of Holocene thermokarst origin. Thus, we have a poor understanding of the long-term interactions between terrestrial and aquatic ecosystems and their response to climate change. The Lake Khamra region in southwestern Yakutia is of particular interest because it is in the transition zones from discontinuous to sporadic permafrost and from summergreen to evergreen boreal forests. Our multiproxy study of Lake Khamra sediments reaching back to the Last Glacial Maximum 21 cal ka BP, includes analyses of organic carbon, nitrogen, XRF-derived elements, sedimentary ancient DNA amplicon sequencing of aquatic and terrestrial plants and diatoms, as well as classical counting of pollen and non-pollen palynomorphs (NPP). The palaeogenetic approach revealed 45 diatom, 191 terrestrial plant, and 65 aquatic macrophyte taxa. Pollen analyses identified 34 pollen taxa and 28 NPP taxa. The inferred terrestrial ecosystem of the Last Glacial comprises tundra vegetation dominated by forbs and grasses, likely inhabited by megaherbivores. By 18.4 cal ka BP a lake had developed with a high abundance of macrophytes and dominant fragilarioid diatoms, while shrubs expanded around the lake. In the Bølling-Allerød at 14.7 cal ka BP both the terrestrial and aquatic systems reflect climate amelioration, alongside lake water-level rise and woodland establishment, which was curbed by the Younger Dryas cooling. In the Early Holocene warmer and wetter climate led to taiga development and lake water-level rise, reflected by diatom composition turnover from only epiphytic to planktonic diatoms. In the Mid-Holocene the lake water level decreased at ca. 8.2 cal ka BP and increased again at ca. 6.5 cal ka BP. At the same time mixed evergreen-summergreen forest expanded. In the Late Holocene, at ca. 4 cal ka BP, vegetation cover similar to modern conditions established. This study reveals the long-term shifts in aquatic and terrestrial ecosystems and a comprehensive understanding of lake development and catchment history of the Lake Khamra region.〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 19
    Publication Date: 2024-05-19
    Description: A fragmentary nerineoid gastropod collected from the Maasvlakte 2 beach may be identified as Ptygmatis cf. bruntrutana (Thurmann, 1832). Probably originating from Upper Jurassic strata in north-eastern France, it must have been transported here by a forerunner of the River Meuse (Maas).
    Keywords: Late Jurassic ; Maasvlakte 2 ; Meuse ; Nerineoidea ; Paris Basin ; Ptygmatis
    Repository Name: National Museum of Natural History, Netherlands
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  • 20
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    Naturalis Biodiversity Center
    In:  Blumea: Biodiversity, Evolution and Biogeography of Plants vol. 66 no. 1, pp. 57-81
    Publication Date: 2024-05-19
    Description: The furfuraceous species of Syzygium subg. Syzygium in Papuasia are revised. The scurfy, furfuraceous epidermis that is a feature of the inflorescence branches and sometimes also of the hypanthium, the commonly chestnut brown colour of the dried leaves, and the reduced calyx that occurs in many species are characteristic features of the group. Within this subgenus, a new section Furfuraceum is described to accommodate these morphologically recognisable species. Descriptions are provided for each of the 40 species recognised, 28 of which are new. An identification key, distribution maps and an index to numbered exsiccatae are provided.
    Keywords: Plant Science ; Ecology ; Evolution ; Behavior and Systematics ; Furfuraceum ; identification key ; maps ; Myrtaceae ; Papuasia ; revision ; Syzygium
    Repository Name: National Museum of Natural History, Netherlands
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  • 21
    Publication Date: 2024-05-19
    Description: Fjords in the Arctic are key ecosystems and of great importance to both natural systems and human societies. The in situ monitoring of these systems is however quite difficult and some variables, such as light availability, are more difficult to collect than others. To address this knowledge gap the 'FjordLight' dataset was published on PANGAEA (Gentili et al., 2023). This dataset provides monthly values for bottom PAR (PAR_B) across seven key Arctic fjords, as well as annual averages and monthly climatology values for PAR_B, surface PAR (PAR(0-)), and the extinction coefficient of photosynthetically available radiation (K_PAR). Thanks to the rapid interest from the community for this dataset, we are now expanding upon it with an addendum: a collection of three additional files for each of the seven sites. Of particular importance to the study of photo-biological processes in the water column is K_PAR; however, the original FjordLight dataset did not include these monthly values because the size of these combined data would make the file large for many users' systems. In the present addendum, all monthly K_PAR data are included. These values are based on estimates of surface turbidity and irradiance derived from remotely sensed observations. Also included in this addendum are one file each for the standard deviation of the monthly climatologies and the annual climatologies for the three PAR variables (e.g. PAR(0-), K_PAR, PAR_B). Note that as these files are in addition to the original FjordLight dataset, they do not contain the same list of global variables and other metadata. All variables in the NetCDF files in this addendum are internally documented. The FjordLight R package that may be utilised to access and work with the FjordLight data has been updated and expanded for reading new files (Gentili et al., 2023; https://cran.r-project.org/web/packages/FjordLight/index.html).
    Keywords: Arctic; Arctic Biodiversity & Livelihoods; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); extinction coefficient; FACE-IT; fjord; PAR
    Type: Dataset
    Format: text/tab-separated-values, 21 data points
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  • 22
    Publication Date: 2024-05-19
    Description: Raw multibeam water column data were collected aboard RV MARIA S. MERIAN during cruise MSM113 using a Kongsberg EM 712 multibeam echosounder. The expedition took place during 09.12.22-12.01.2023 from Las Palmas, Spain to Las Palmas, Spain in the Central Atlantic Ocean. Data were recorded off the NW-African continental margin and West of La Palma. The main aim of MSM113 was to realise an interdisciplinary approach, including a variety of geophysical, geological, geotechnical and oceanographic methods, to study processes that lead to the formation of large fields of sediment waves at the Northwest African margin. Sound velocity profiles (SVP) were applied on the data for calibration. Please see the cruise report for details. The data are unprocessed and can therefore contain incorrect depth measurements (artifacts) if not further processed. Note that refraction errors may occur when no proper SVP is applied. Provision of the data is part of the DAM Underway Project.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; DAM; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM712; EM712 multibeam echosounder; Event label; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Maria S. Merian; MSM113; MSM113_0_Underway-7; Multibeam; Number of pings; raw data; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; WAVETEAM; Sub:Palma
    Type: Dataset
    Format: text/tab-separated-values, 4158 data points
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  • 23
    Publication Date: 2024-05-19
    Description: Raw water column data were collected aboard RV MARIA S. MERIAN during cruise MSM112 using a Kongsberg EM 712 multibeam echosounder. The expedition took place during 07.10.-14.11.2022 from St. John's (Canada) to Cartagena (Colombia) in the Northern and Central Atlantic Ocean. MSM112 focused on the geophysical, sedimentological, and biogeochemical processes of the delta and ROFI, and searched for connections of the river mouth to the La Guajira upwelling system. Sound velocity profiles (SVP) were applied on the data for calibration. Please see environmental data and the cruise report for details. The data are unprocessed and can therefore contain incorrect depth measurements (artifacts) if not further processed. Note that refraction errors may occur when no proper SVP is applied. Acquisition and provision of the data are part of the DAM Underway Project.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Caribbean Sea; Comment; DAM; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM712; EM712 multibeam echosounder; Event label; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Maria S. Merian; MSM112; MSM112_0_Underway-8; Multibeam; Multibeam Echosounder; Number of pings; raw data; RM ROFI; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
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  • 24
    Publication Date: 2024-05-19
    Description: Raw multibeam bathymetry data were collected aboard RV MARIA S. MERIAN during cruise MSM110 using a Kongsberg EM 122 multibeam echosounder. The expedition took place during 07.08.2022 – 29.08.2022 from Reykjavik to Reykjavik (Iceland) in the Northern Atlantic Ocean. Data were recorded in the EEZs of Greenland and Iceland and outside. MSM110 focused on improving our understanding of anthropogenic changes in the biological production and diversity in the Arctic marine regions, and their effects on the ecosystem services as part of the Horizon 2020 project ECOTIP. Sound velocity profiles (SVP) were applied on the data for calibration. Please see environmental data and the cruise report for details. The data are unprocessed and can therefore contain incorrect depth measurements (artifacts) if not further processed. Note that refraction errors may occur when no proper SVP is applied. Acquisition and provision of the data are part of the DAM Underway Project and are according to the FAIR principles.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; DAM; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ECOTIP; ELEVATION; EM122; Event label; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Maria S. Merian; MSM110; MSM110_0_Underway-3; Multibeam; Number of pings; ParaSound; PS; raw data; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 6608 data points
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  • 25
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1986 data points
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  • 26
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2114 data points
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  • 27
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1124 data points
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  • 28
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2044 data points
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  • 29
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2362 data points
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  • 30
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2154 data points
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  • 31
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2500 data points
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  • 32
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1972 data points
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  • 33
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1842 data points
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  • 34
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1418 data points
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  • 35
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1586 data points
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  • 36
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1834 data points
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  • 37
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2306 data points
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  • 38
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1908 data points
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  • 39
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1796 data points
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  • 40
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1388 data points
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  • 41
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1634 data points
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  • 42
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1012 data points
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  • 43
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 956 data points
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  • 44
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1970 data points
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  • 45
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 884 data points
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  • 46
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1844 data points
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  • 47
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2044 data points
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  • 48
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 988 data points
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  • 49
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 540 data points
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  • 50
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1028 data points
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  • 51
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 940 data points
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  • 52
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1538 data points
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  • 53
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2116 data points
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  • 54
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1930 data points
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  • 55
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 988 data points
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  • 56
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1966 data points
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  • 57
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
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  • 58
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 276 data points
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  • 59
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
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  • 60
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 668 data points
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  • 61
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 788 data points
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  • 62
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2306 data points
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  • 63
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2330 data points
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  • 64
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 714 data points
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  • 65
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 370 data points
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  • 66
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 732 data points
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  • 67
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 52 data points
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  • 68
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 276 data points
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  • 69
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2242 data points
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  • 70
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 540 data points
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  • 71
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 68 data points
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  • 72
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1154 data points
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  • 73
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 1868 data points
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  • 74
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2306 data points
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  • 75
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2322 data points
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  • 76
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2306 data points
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  • 77
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2330 data points
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  • 78
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2354 data points
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  • 79
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2164 data points
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  • 80
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2018 data points
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  • 81
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2322 data points
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  • 82
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2322 data points
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  • 83
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2306 data points
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  • 84
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2306 data points
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  • 85
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2306 data points
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  • 86
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2338 data points
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  • 87
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2858 data points
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  • 88
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2306 data points
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  • 89
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2306 data points
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  • 90
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2306 data points
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  • 91
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2306 data points
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  • 92
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2314 data points
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  • 93
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2306 data points
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  • 94
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2306 data points
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  • 95
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2306 data points
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  • 96
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2722 data points
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  • 97
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2778 data points
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  • 98
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2306 data points
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  • 99
    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2306 data points
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    Publication Date: 2024-05-19
    Description: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; Identification; Image, sky; Text file; Video; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA
    Type: Dataset
    Format: text/tab-separated-values, 2306 data points
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