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  • PANGAEA  (422,982)
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  • 1
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    Effects of ocean acidification on larval swimming behaviour of the cold-water coral Desmophyllum pertusum (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-15
    Description: The objective of this study is to determine the effects of ocean acidification (OA) on the survival, development and swimming behaviour of embryos of the deep-sea coral Desmophyllum pertusum (syn. Lophelia pertusa). Upon spawning, fertilized embryos were collected and exposed to two pCO2 treatments corresponding to present pCO2 conditions (400 ppm) and future pCO2 conditions predicted under scenario IPCC RCP8.5 for the end of the century (1000 ppm). We monitored survival daily and we measured swimming velocity on day 9 after spawning. Temperature and pH were measured every 24h, salinity was measured every other day, and water samples were collected during the first and last day of the experiment to determine total alkalinity (TA). This dataset includes data on the effects of ocean acidification on swimming velocity of larvae of the deep-sea coral Desmophyllum pertusum. Embryos were exposed to two acidification (pCO2) treatments: present pCO2 conditions (400 ppm) and future pCO2 conditions predicted under RCP8.5 for the end of the century (1000 ppm). After rearing the embryos in the respective treatments for nine days, we recorded the swimming behaviour of larvae with a video camera. Videos were analyzed with manual particle tracking, and here we report the swimming velocity and total traveled distance of larvae in each experimental treatment.
    Keywords: ASSEMBLE_Plus; Association of European Marine Biological Laboratories Expanded; Climate change; cold-water coral; DATE/TIME; Deep sea; early life history; early life stages; iAtlantic; Image analysis, NIH ImageJ, MTrackJ plugin; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Laboratory experiment; Larvae; larval behaviour; physiology; Remote operated vehicle; ROV; Sample ID; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Speed, swimming; Swim distance; Time in hours; Tisler_Sampling_Lophelia_pertusa_4; Tisler_Sampling_Lophelia_pertusa_6; Tisler Reef, Skagerrak; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 480 data points
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  • 2
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    Effects of ocean acidification on larval survival rates of the cold-water coral Desmophyllum pertusum (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-15
    Description: The objective of this study is to determine the effects of ocean acidification (OA) on the survival, development and swimming behaviour of embryos of the deep-sea coral Desmophyllum pertusum (syn. Lophelia pertusa). Upon spawning, fertilized embryos were collected and exposed to two pCO2 treatments corresponding to present pCO2 conditions (400 ppm) and future pCO2 conditions predicted under scenario IPCC RCP8.5 for the end of the century (1000 ppm). We monitored survival daily and we measured swimming velocity on day 9 after spawning. Temperature and pH were measured every 24h, salinity was measured every other day, and water samples were collected during the first and last day of the experiment to determine total alkalinity (TA). This dataset includes data on the effects of OA on embryo and larval survival of the deep-sea coral Desmophyllum pertusum. Embryos (age: first cleavage and 2 cell stage) were exposed to two acidification (pCO2) treatments: present pCO2 conditions (400 ppm) and future pCO2 conditions predicted under RCP8.5 for the end of the century (1000 ppm) and reared for a total of nine days. We counted embryos and larvae daily to determine larval survival under the two treatments.
    Keywords: ASSEMBLE_Plus; Association of European Marine Biological Laboratories Expanded; Climate change; cold-water coral; DATE/TIME; Deep sea; early life history; early life stages; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Laboratory experiment; Larvae; larval behaviour; pH; pH meter, Mettler Toledo, Seven2Go pH /Ion meter S8; physiology; Remote operated vehicle; Replicate; ROV; Salinity; Sample ID; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Temperature, water; Time in hours; Tisler_Sampling_Lophelia_pertusa_4; Tisler_Sampling_Lophelia_pertusa_6; Tisler Reef, Skagerrak; Treatment; Visual counts
    Type: Dataset
    Format: text/tab-separated-values, 1116 data points
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  • 3
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    Soil organic carbon storage and soil properties for 50 soil profiles in the Lena River Delta including land form description and map (2016)
    PANGAEA
    In:  Department of Physical Geography, University of Stockholm | Supplement to: Siewert, Matthias Benjamin; Hugelius, Gustaf; Heim, Birgit; Faucherre, Samuel (2016): Landscape controls and vertical variability of soil organic carbon storage in permafrost-affected soils of the Lena River Delta. CATENA, 147, 725-741, https://doi.org/10.1016/j.catena.2016.07.048
    Details
    Publication Date: 2024-06-14
    Description: To project the future development of the soil organic carbon (SOC) storage in permafrost environments, the spatial and vertical distribution of key soil properties and their landscape controls needs to be understood. This article reports findings from the Arctic Lena River Delta where we sampled 50 soil pedons. These were classified according to the U.S.D.A. Soil Taxonomy and fall mostly into the Gelisol soil order used for permafrost-affected soils. Soil profiles have been sampled for the active layer (mean depth 58 ± 10 cm) and the upper permafrost to one meter depth. We analyze SOC stocks and key soil properties, i.e. C%, N%, C/N, bulk density, visible ice and water content. These are compared for different landscape groupings of pedons according to geomorphology, soil and land cover and for different vertical depth increments. High vertical resolution plots are used to understand soil development. These show that SOC storage can be highly variable with depth. We recommend the treatment of permafrost-affected soils according to subdivisions into: the surface organic layer, mineral subsoil in the active layer, organic enriched cryoturbated or buried horizons and the mineral subsoil in the permafrost. The major geomorphological units of a subregion of the Lena River Delta were mapped with a land form classification using a data-fusion approach of optical satellite imagery and digital elevation data to upscale SOC storage. Landscape mean SOC storage is estimated to 19.2 ± 2.0 kg C/m**2. Our results show that the geomorphological setting explains more soil variability than soil taxonomy classes or vegetation cover. The soils from the oldest, Pleistocene aged, unit of the delta store the highest amount of SOC per m2 followed by the Holocene river terrace. The Pleistocene terrace affected by thermal-degradation, the recent floodplain and bare alluvial sediments store considerably less SOC in descending order.
    Keywords: Changing Permafrost in the Arctic and its Global Effects in the 21st Century; PAGE21
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 4
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    Organic carbon and total nitrogen stocks in soils of the Lena River Delta (2013)
    PANGAEA
    In:  Supplement to: Zubrzycki, Sebastian; Kutzbach, Lars; Grosse, Guido; Desyatkin, Alexey; Pfeiffer, Eva-Maria (2013): Organic carbon and total nitrogen stocks in soils of the Lena River Delta. Biogeosciences, 10(6), 3507-3524, https://doi.org/10.5194/bg-10-3507-2013
    Details
    Publication Date: 2024-06-14
    Description: The Lena River Delta, which is the largest delta in the Arctic, extends over an area of 32 000 km**2 and likely holds more than half of the entire soil organic carbon (SOC) mass stored in the seven major deltas in the northern permafrost regions. The geomorphic units of the Lena River Delta which were formed by true deltaic sedimentation processes are a Holocene river terrace and the active floodplains. Their mean SOC stocks for the upper 1 m of soils were estimated at 29 kg/m**2 ± 10 kg/m**2 and at 14 kg/m**2 ± 7 kg/m**2, respectively. For the depth of 1 m, the total SOC pool of the Holocene river terrace was estimated at 121 Tg ± 43 Tg, and the SOC pool of the active floodplains was estimated at 120 Tg ± 66 Tg. The mass of SOC stored within the observed seasonally thawed active layer was estimated at about 127 Tg assuming an average maximum active layer depth of 50 cm. The SOC mass which is stored in the perennially frozen ground at the increment 50-100 cm soil depth, which is currently excluded from intense biogeochemical exchange with the atmosphere, was estimated at 113 Tg. The mean nitrogen (N) stocks for the upper 1 m of soils were estimated at 1.2 kg/m**2 ± 0.4 kg/m**2 for the Holocene river terrace and at 0.9 kg/m**2 ± 0.4 kg/m**2 for the active floodplain levels, respectively. For the depth of 1 m, the total N pool of the river terrace was estimated at 4.8 Tg ± 1.5 Tg, and the total N pool of the floodplains was estimated at 7.7 Tg ± 3.6 Tg. Considering the projections for deepening of the seasonally thawed active layer up to 120 cm in the Lena River Delta region within the 21st century, these large carbon and nitrogen stocks could become increasingly available for decomposition and mineralization processes.
    Type: Dataset
    Format: application/zip, 29 datasets
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  • 5
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    Sedimentation and mineral analysis on sediment cores from the Lena Delta (2002)
    PANGAEA
    In:  Supplement to: Schwamborn, Georg; Rachold, Volker; Grigoriev, Mikhail N (2002): Late Quaternary Sedimentation History of the Lena Delta. Quaternary International, 89(1), 119-134, https://doi.org/10.1016/S1040-6182(01)00084-2
    Details
    Publication Date: 2024-06-14
    Description: Core and outcrop analysis from Lena mouth deposits have been used to reconstruct the Late Quaternary sedimentation history of the Lena Delta. Sediment properties (heavy mineral composition, grain size characteristics, organic carbon content) and age determinations (14C AMS and IR-OSL) are applied to discriminate the main sedimentary units of the three major geomorphic terraces, which form the delta. The development of the terraces is controlled by complex interactions among the following four factors: (1) Channel migration. According to the distribution of 14C and IR-OSL age determinations of Lena mouth sediments, the major river runoff direction shifted from the west during marine isotope stages 5-3 (third terrace deposits) towards the northwest during marine isotope stage 2 and transition to stage 1 (second terrace), to the northeast and east during the Holocene (first terrace deposits). (2) Eustasy. Sea level rise from Last Glacial lowstand to the modern sea level position, reached at 6-5 ka BP, resulted in back-filling and flooding of the palaeovalleys. (3) Neotectonics. The extension of the Arctic Mid-Ocean Ridge into the Laptev Sea shelf acted as a halfgraben, showing dilatation movements with different subsidence rates. From the continent side, differential neotectonics with uplift and transpression in the Siberian coast ridges are active. Both likely have influenced river behavior by providing sites for preservation, with uplift, in particular, allowing accumulation of deposits in the second terrace in the western sector. The actual delta setting comprises only the eastern sector of the Lena Delta. (4) Peat formation. Polygenetic formation of ice-rich peaty sand (''Ice Complex'') was most extensive (7-11 m in thickness) in the southern part of the delta area between 43 and 14 ka BP (third terrace deposits). In recent times, alluvial peat (5-6 m in thickness) is accumulated on top of the deltaic sequences in the eastern sector (first terrace).
    Keywords: Arga Island; AWI_PerDyn; AWI Arctic Land Expedition; ChekanovskyHighl; HAND; Laptev Sea System; LD00-1316-1; LD00-1316-2; LD00-1316-3; LD98-D01; LD98-D06; LD98-D07; LD98-D08; LD98-D10; LD98-S04; LD98-S05; LD98-S06; Lena-Delta1998; Lena-Delta1999; Lena-Delta2000; LSS; minerals; Nikolay Lake, Lena Delta, Russia; Olenyok Channel; PERM; Permafrost Research (Periglacial Dynamics) @ AWI; PG1440; radiocarbon; RCD; river delta; Rotary core drilling; RU-Land_1998_Lena; RU-Land_1999_Lena; RU-Land_2000_Lena; Samoylov Island, Lena Delta, Siberia; Sampling by hand; Sampling permafrost; Sardakh Channel; Sediment core; sediments; Seismic, shallow profile; SEISS
    Type: Dataset
    Format: application/zip, 14 datasets
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  • 6
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    Sedimentology, biogeochemistry stable isotopes, pollen, plant macrofossils, and diatoms from two sediments cores from the northern Yukon permafrost peatlands (Canada) (2016)
    PANGAEA
    In:  Supplement to: Fritz, Michael; Wolter, Juliane; Rudaya, Natalia; Palagushkina, Olga V; Nazarova, Larisa B; Obu, Jaroslav; Rethemeyer, Janet; Lantuit, Hugues; Wetterich, Sebastian (2016): Holocene ice-wedge polygon development in northern Yukon permafrost peatlands (Canada). Quaternary Science Reviews, 147, 279-297, https://doi.org/10.1016/j.quascirev.2016.02.008
    Details
    Publication Date: 2024-06-14
    Description: Ice-wedge polygon (IWP) mires in the Arctic and Subarctic are extremely vulnerable to climatic and environmental change. We present the results of a multidisciplinary paleoenvironmental study on IWPs in the northern Yukon, Canada. High-resolution laboratory analyses were carried out on a permafrost core and the overlying seasonally thawed (active) layer, from a low-centered IWP located in a drained lake basin on Herschel Island. In relation to 14 Accelerator Mass Spectrometry (AMS) radiocarbon dates spanning the last 5000 years, we report sedimentary data including grain size distribution and biogeochemical parameters (organic carbon, nitrogen, C/N ratio, d13C), stable water isotopes (d18O, dD), as well as fossil pollen, plant macrofossil and diatom assemblages. Three sediment units (SUs) correspond to the main stages of deposition (1) in a thermokarst lake (SU1: 4950 to 3950 cal yrs BP), (2) during transition from lacustrine to palustrine conditions after lake drainage (SU2: 3950 to 3120 cal yrs BP), and (3) in palustrine conditions in the IWP field that developed after drainage (SU3: 3120 cal yrs BP to AD 2012). The lacustrine phase (pre 3950 cal yrs BP) is characterized by planktonic-benthic and pioneer diatoms species indicating circumneutral waters, and very few plant macrofossils. The pollen record has captured a regional signal of relatively stable vegetation composition and climate for the lacustrine stage of the record until 3950 cal yrs BP. Palustrine conditions with benthic and acidophilic species characterize the peaty shallow-water environments of the low-centered IWP. The transition from lacustrine to palustrine conditions was accompanied by acidification and rapid revegetation of the lake bottom within about 100 years. Since the palustrine phase we consider the pollen record as a local vegetation proxy dominated by the plant communities growing in the IWP. Ice-wedge cracking in water-saturated sediments started immediately after lake drainage at about 3950 cal yrs BP and led to the formation of an IWP mire. Permafrost aggradation through downward closed-system freezing of the lake talik is indicated by the stable water isotope record. The originally submerged IWP center underwent gradual drying during the past 2000 years. This study highlights the sensitivity of permafrost landscapes to climate and environmental change throughout the Holocene.
    Keywords: AWI_PerDyn; Permafrost Research (Periglacial Dynamics) @ AWI
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 7
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    Sediment, ground ice, geochronological and paleoecological data from polygon cores in the Siberian Arctic (2018)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: During the expedition Kytalyk and Pokhodsk 2012 several cores in the polygonal tundra were drilled. Sediment data (gravimetric ice content, grain-size parameters, mass specific magnetic susceptibility, TC, TOC, TN, TOC/TN, d13C), ground ice data (dD, d18O, d excess) and paleoecological data (pollen, plant macrofossils, tecamoebae) are presented in these data sets. The data are related to the expeditions report "Studies of Polygons in Siberia and Svalbard" published in Reports on Polar and Marine Research 267 by Lutz Schirrmeister, Liudmila Pestryakova, Andrea Schneider and Sebastian Wetterich. Furthermore these data are related to the paper "Late Holocene ice-wedge polygon dynamics in northeastern Siberian coastal lowlands" still under review by the journal Arctic, Antarctic, and Alpine Research. Ice-wedge polygons are common features of northeastern Siberian lowland periglacial tundra landscapes. To deduce the formation and alternation of ice-wedge polygons in the Kolyma Delta and in the Indigirka Lowland, we studied shallow cores, up to 1.3 m deep, from polygon center and rim locations. The formation of well-developed low-center polygons with elevated rims and wet centers is shown by the beginning of peat accumulation, increased organic matter contents and changes in vegetation cover from Poaceae-, Alnus-, and Betula-dominated pollen spectra to dominating Cyperaceae and Botryoccocus presence, and Carex and Drepanocladus revolvens macro-fossils. Tecamoebae data support such a change from wetland to open-water conditions in polygon centers by changes from dominating eurybiontic and sphagnobiontic to hydrobiontic species assemblages. The peat accumulation indicates low-center polygon formation and started between 2380 ± 30 and 1676 ± 32 years before present (BP) in the Kolyma Delta. We recorded an opposite change from open-water to wetland conditions due to rim degradation and consecutive high-center polygon formation in the Indigirka Lowland between 2144 ± 33 and 1632 ± 32 yrs BP. The late Holocene records of polygon landscape development reveal changes in local hydrology and soil moisture.
    Keywords: AWI_PerDyn; Permafrost Research (Periglacial Dynamics) @ AWI
    Type: Dataset
    Format: application/zip, 12 datasets
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  • 8
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    Carbon, nitrogen and radiocarbon data from permafrost cores of two small Arctic river deltas in northern Alaska (2018)
    PANGAEA
    In:  Supplement to: Fuchs, Matthias; Grosse, Guido; Jones, Benjamin M; Strauss, Jens; Baughman, Carson A; Walker, Donald A (2018): Sedimentary and geochemical characteristics of two small permafrost-dominated Arctic river deltas in northern Alaska. arktos - The Journal of Arctic Geosciences, 4(1), https://doi.org/10.1007/s41063-018-0056-9
    Details
    Publication Date: 2024-06-14
    Description: This data set describes the soil core and sample characteristics from the Ikpikpuk and Fish Creek river delta on the Arctic Coastal Plain in northern Alaska. The collection of the permafrost soil cores and the analysis of the samples are described in Fuchs et al. (2018). Sedimentary and geochemical characteristics of two small permafrost-dominated Arctic river deltas in northern Alaska. This data compilation consists of two data set. The first data set describes the properties of the collected permafrost soil cores from the Ikpikpuk river (IKP) and Fish Creek river (FCR) delta. This includes the coordinates of the nine coring locations, the field measurements of the active- and organic layer thickness at the coring locations, and the length of the collected permafrost core. In addition, soil organic carbon and soil nitrogen stocks and densities derived from the laboratory analyses for the reference depths 0-30 cm, 0-100 cm, 0-150 cm and 0-200 cm are presented in kg C m-2 and in kg C m-3. The second data set provides the raw laboratory data for all the samples of the nine collected permafrost cores in the Ikpikpuk and Fish Creek River Delta. All laboratory analyzes were carried out at the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam. The third data set presents the results from the radiocarbon dating of chosen samples from five different permafrost cores. This includes the AMS radiocarbon date and the calibrated age of a sample. In addition, the sediment and organic carbon accumulation rates for the dated samples are included. This data set allows to calculate the total carbon and nitrogen storage in two small Arctic river deltas (IKP and FCR) for the first two meter of soil and enlarges the available permafrost cores for Arctic river delta deposits.
    Keywords: AWI_PerDyn; Permafrost Research (Periglacial Dynamics) @ AWI; PETA-CARB; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 9
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    Surficial sediment texture from the Iberian Atlantic Margin Sediments Database (IBAM-Sed) (2017)
    PANGAEA
    In:  Supplement to: Costas, Susana; Ramires, Margarida; de Sousa, Luisa B; Mendes, Isabel Maria de Paiva Pinto; Ferreira, Óscar (2018): Surficial sediment texture database for the south-western Iberian Atlantic margin. Earth System Science Data, 10(2), 1185-1195, https://doi.org/10.5194/essd-10-1185-2018
    Details
    Publication Date: 2024-06-14
    Description: This sample collection presents a database that integrates surficial sediment samples collected and analysed for textural characterization within the frame of a series of research projects. A total of 4727 samples within the frame of 24 projects developed between 1996 and 2015 along the southern Atlantic coast of the Iberian Peninsula. The projects had different purposes, including fishing exploration, coastal dynamics investigation or monitoring of nourished beaches. The variety of the projects also explains the variety of environments that have been sampled and compiled within this database. The latter includes beaches (emerged to nearshore sediments), estuaries (bed surface sediments), lagoons (bed surface sediments from channels, inlets and inner beaches), and the adjacent continental shelf (from the nearshore area to 300 m depth). Data collection was performed by hand (at beaches and inlets) and using grab samplers (at the shelf). All collected samples were examined and analysed in order to determine their grain-size distribution. Due to the diversity of environments sampled and the subsequent variety of sediments, different methods were used to determine grain size properties. For those samples with grain sizes between sand and gravels, the distribution of size fractions was obtained through dry sieving at each 0.5 phi, except for CRIDA, EMERGE, SIRIA and SIMPATICO datasets which have been analysed at each phi. For those cases with grain sizes finer than sand (i.e. silt and clay fractions), the pipette or settling tube was used and the corresponding fractions analysed at each phi. The value *0.999 is given for "not recovered record".
    Type: Dataset
    Format: application/zip, 24 datasets
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  • 10
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    Sample site characteristics including mean SOC and SN for permafrost cores collected on Sobo-Sise Island and Bykovsky Peninsula (2017)
    PANGAEA
    In:  Supplement to: Fuchs, Matthias; Grosse, Guido; Strauss, Jens; Günther, Frank; Grigoriev, Mikhail N; Maximov, Georgy M; Hugelius, Gustaf (2018): Carbon and nitrogen pools in thermokarst-affected permafrost landscapes in Arctic Siberia. Biogeosciences, 15(3), 953-971, https://doi.org/10.5194/bg-15-953-2018
    Details
    Publication Date: 2024-06-14
    Description: Ice rich Yedoma-dominated landscapes store considerable amounts of organic carbon (C) and nitrogen (N) and are vulnerable to degradation under climate warming. We investigate the C and N pools in two thermokarst-affected Yedoma landscapes - on Sobo-Sise Island and on Bykovsky Peninsula in the North of East Siberia. Soil cores up to three meters depth were collected along geomorphic gradients and analysed for organic C and N contents. A high vertical sampling density in the profiles allowed the calculation of C and N stocks for short soil column intervals and enhanced understanding of within-core parameter variability. Profile-level C and N stocks were scaled to the landscape level based on landform classifications from five-meter resolution, multispectral RapidEye satellite imagery. Mean landscape C and N storage in the first meter of soil for Sobo-Sise Island is estimated to be 20.2 kg C/m**-2 and 1.8 kg N/m**-2 and for Bykovsky Peninsula 25.9 kg C/m**-2 and 2.2 kg N/m**-2. Radiocarbon dating demonstrates the Holocene age of thermokarst basin deposits but also suggests the presence of thick Holocene aged cover layers which can reach up to two meters on top of intact Yedoma landforms. Reconstructed sedimentation rates of 0.10 mm/yr - 0.57 mm/yr suggest sustained mineral soil accumulation across all investigated landforms. Both Yedoma and thermokarst landforms are characterized by limited accumulation of organic soil layers (peat). We further estimate that an active layer deepening by about 100 cm will increase organic C availability in a seasonally thawed state in the two study areas by ~5.8 Tg (13.2 kg C/m**-2). Our study demonstrates the importance of increasing the number of C and N storage inventories in ice-rich Yedoma and thermokarst environments in order to account for high variability of permafrost and thermokarst environments in pan-permafrost soil C and N pool estimates.
    Keywords: AWI_PerDyn; Permafrost Research (Periglacial Dynamics) @ AWI
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 11
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    Lowered Acoustic Doppler Current Profiler (LADCP) backscatter attached to the rosette sampler during the Malaspina Circumnavigation Expedition (2020)
    PANGAEA
    In:  Spanish Institute of Oceanography
    Details
    Publication Date: 2024-06-14
    Description: As a proxy for zooplankton and micronekton biomass in the water column, acoustic backscatter intensity (dB), acquired using a Lowered Acoustic Doppler Current Profiler (LADCP) down to ca. 4000 m depth along the Malaspina Expedition (CSD2008-00077). Datasets are from 7 different legs around the World (1-7): 1 Spain-Brazil, 2 Brazil-South Africa, 3 South Africa-West Australia, 4 West Australia-East Australia, 5 East Australia-Hawaii, 6 Hawaii-Panamá, 7 Panamá-Spain.
    Keywords: Backscatter; Bioacoustics; LADCP; MALASPINA-2010; Malaspina circumnavigation expedition; Malaspina Expedition; SUMMER; Sustainable Management of Mesopelagic Resources; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 12
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    Physical oceanography, picoplankton biomass, chlorophyll a and nutrients during RV Atlantic Explorer cruise ESTELA (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: Data were collected from 9 to 12 of May of 2011 on board RV Atlantic Explorer from a section across a wind-shear convergent front south of Gran Canaria Island (Canary Island). In order to assess both spatial and temporal variability at submesoscale range, a section consisting in 6-7 oceanographic stations, separated ~4 km (25 km in total), was entirely sampled every 24 h, during a 96 h period (there are no data for 72h). At each station CTD data and discrete water samples were collected for chlorophyll a, nutrients and picophytoplankton abundances at six levels, from surface to 150 m, including the deep chlorophyll maximum (DCM) by means of CTD mounted onto an oceanographic rosette implemented with six Niskin bottles of 12 L.
    Keywords: Biogeochemical impact of mesoscale and sub-mesoscale processes along the life history of cyclonic and anticyclonic eddies: plankton variability and productivity; Canary Current; Canary Islands; CTD; e-IMPACT; Front; picoplankton biomass; spatiotemporal variability; submesoscale; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 13
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    Measurements in soil and air at Samoylov Station (2002-2018) (2018)
    PANGAEA
    In:  Supplement to: Boike, Julia; Nitzbon, Jan; Anders, Katharina; Grigoriev, Mikhail N; Bolshiyanov, Dimitry Yu; Langer, Moritz; Lange, Stephan; Bornemann, Niko; Morgenstern, Anne; Schreiber, Peter; Wille, Christian; Chadburn, Sarah; Gouttevin, Isabelle; Burke, Eleanor J; Kutzbach, Lars (2019): A 16-year record (2002–2017) of permafrost, active-layer, and meteorological conditions at the Samoylov Island Arctic permafrost research site, Lena River delta, northern Siberia: an opportunity to validate remote-sensing data and land surface, snow, and permafrost models. Earth System Science Data, 11(1), 261-299, https://doi.org/10.5194/essd-11-261-2019
    Details
    Publication Date: 2024-06-14
    Description: Most of the world's permafrost is located in the Arctic, where its frozen organic carbon con-tent makes it a potentially important influence on the global climate system. The Arctic climate appears to be changing more rapidly than the lower latitudes, but observational data density in the region is low. Permafrost thaw and carbon release into the atmosphere is a positive feed-back mechanism that has the potential for climate warming. It is therefore particularly im-portant to understand the links between the energy balance, which can vary rapidly over hour-ly to annual time scales, and permafrost condition, which changes slowly on decadal to cen-tennial timescales. This requires long-term observational data such as that available from the Samoylov research site in northern Siberia, where meteorological parameters, energy balance, and subsurface observations have been recorded since 1998. This paper presents the temporal data set produced between 2002 and 2017, explaining the instrumentation, calibration, pro-cessing and data quality control. Additional data include a high-resolution digital terrain mod-el (DTM) obtained from terrestrial LiDAR laser scanning. Since the data provide observations of temporally variable parameters that influence energy fluxes between permafrost, active lay-er soils, and the atmosphere (such as snow depth and soil moisture content), they are suitable for calibrating and quantifying the dynamics of permafrost as a component in earth system models. The data also include soil properties beneath different microtopographic features (a polygon center, a rim, a slope, and a trough), yielding much-needed information on landscape heterogeneity for use in land surface modeling. For the record from 1998 to 2017, the average mean annual air temperature was -12.3°C, with mean monthly temperature of the warmest month (July) recorded as 9.5°C and for the coldest month (February) -32.7°C. The average annual rainfall was 169mm. The depth of zero annual amplitude niveau is at 20.8m, and has warmed from -9.1°C in 2006 to -7.7°C in 2017.
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 14
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    Radiocarbon ages and pollen record of Kongor Lake sediments (2019)
    PANGAEA
    In:  Supplement to: Shumilovskikh, Lyudmila S; Hopper, Kristen; Djamali, Morteza; Ponel, Philippe; Demory, François; Rostek, Frauke; Tachikawa, Kazuyo; Bittmann, Felix; Golyeva, Alexandra; Guibal, Frédéric; Talon, Brigitte; Wang, Liang-Chi; Nezamabadi, Masoud; Bard, Edouard; Lahijani, Hamid A K; Nokandeh, Jebrael; Omrani Rekavandi, Hamid; de Beaulieu, Jacques-Louis; Sauer, Eberhard; Andrieu-Ponel, Valerie (2016): Landscape evolution and agro-sylvo-pastoral activities on the Gorgan Plain (NE Iran) in the last 6000 years. The Holocene, 26(10), 1676-1691, https://doi.org/10.1177/0959683616646841
    Details
    Publication Date: 2024-06-14
    Description: The Gorgan Plain (NE Iran) is characterized by fertile soils formed on a loess plateau and is at present primarily exploited for intensive agriculture. However, the timing and intensity of the human impact on the landscape in the past are still unclear. A sediment core, taken from the centre of the eastern Gorgan Plain in the Kongor Lake covering the major part of the Holocene from 6.1 to 0.8 ka (all ages are calibrated before present), has been studied for pollen, non-pollen palynomorphs, botanical macroremains, insects, charcoal, geochemistry, biomarkers and magnetism in order to provide new insights into the evolution of the landscape and to estimate the intensity of human activities. The data obtained suggest a dry period between 5.9 and 3.9 ka and an increase in regional humidity afterwards with a maximum between 2.7 and 0.7 ka, during the period of the Persian empires (Achaemenid through Sasanian) and the Islamic era. The eastern part of the Gorgan Plain was characterized by open steppe landscapes during the last 6 ka, which most likely were used for pasture and at least since 2.7 ka for agriculture including arboriculture. The strongest anthropogenic impact on the environment around the Kongor site is documented during the Parthian and Sasanian Empires (200 BC–651 AD) and the Islamic era up to the eve of the Mongol invasion.
    Keywords: Kongor_Lake; pollen; radiocarbon; SEDCO; Sediment corer
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 15
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    Physical oceanography, abundance, migrant biomass and carbon flux data of micronekton (fishes and crustaceans) from CAPEGOLCA cruises (June-October 2018) in Gulf of California (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: Physical oceanography variables and carbon flux (for juveniles/adults of dominant mesopelagic migratory species) were determined during the CAPEGOLCA XIII and CAPEGOLCA XIV cruises (June-October 2018). This dataset contains the depth, temperature, and conductivity that were recorded with a Star-ODDI CTD attached to a Bongo net during CAPEGOLCA XIII and with a SeaBird SB11 CTD attached to an oceanographic rosette in CAPEGOLCA XIV. Values of numerical abundance, migrant biomass, specific respiration and respiration flux data for each individual of fishes, decapods and large euphausiids analyzed at the north-central regions in the Gulf of California are given. Specimens were collected during the nighttime (20:00–05:00 h local) using a standard Bongo net (0.61 m mouth diameter, 505 µm mesh net). The integrated layer from maximum depth to surface (32–272 m) was evaluated through oblique hauls for each cruise. Collected specimens were identified on board to the lowest possible taxonomic level and those selected for electron transfer system (ETS) activity analysis were immediately frozen in liquid nitrogen contained for posterior chemical analyses in the land-based laboratory. Values of abundance, migrant biomass, specific respiration and respiration flux were integrated from sampling depth to surface.
    Keywords: active flux; biological carbon pump; CAPEGOLCA; Carbon; Cardúmenes de peces pelágicos menores en el Golfo de California; Decapoda; epipelagic; Euphausiacea; fish; Gulf of California; mesopelagic; SUMMER; Sustainable Management of Mesopelagic Resources; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 16
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    Upper-ocean microstructure data from the tropical Angolan upwelling system (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: The tropical Angolan upwelling system is a highly productive ecosystem with a distinct seasonal cycle in surface temperature and primary production. The lowest sea surface temperature, strongest cross-shore temperature gradient, and maximum productivity occur in austral winter when seasonally prevailing upwelling favorable winds are weakest. A multi cruise dataset of microstructure profiles collected between 2013 and 2022 in the tropical Angolan upwelling system was used to analyze the importance of mixing for cooling of the mixed layer. The data were collected during six cruises on board of the R/V Meteor. The results show that cooling due to turbulent heat fluxes at the base of the mixed layer is an important cooling term. This turbulent cooling, that is strongest in shallow shelf regions, is capable of explaining the observed negative cross-shore temperature gradient.
    Keywords: BANINO; Benguela Niños: Physikalische Prozesse und langperiodische Variabilität; SACUS/SACUS-II; Southwest African Coastal Upwelling System and Benguela Niños; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 17
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    Standard length, weight, body mass-density and swim bladder measurements data of Cyclothone species from the IDEADOS, BATHYPELAGIC and SUMMER cruises in Northeast Atlantic Ocean and Mediterranean Sea (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: Size, weight, body-mass density and swim bladder measurements of Cyclothone species were analysed during the IDEADOS (Mediterranean Sea, July 2010), Bathypelagic (North Atlantic, May-June 2018) and SUMMER (Mediterranean Sea and North Atlantic, September-October 2020), and cruises. Specimens used to analyse size and weight were collected with a Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS-1 m²), fitted with nets of 0.2 mm mesh size. Hauls were carried out between the surface and 700-800 m, in IDEADOS and SUMMER cruises, and up to 1800 m in Bathypelagic survey. Measures of body mass-density were obtained during the SUMMER cruise from specimens collected using the "Mesopelagos" midwater trawl. Finally, measures of swim bladder length, height, width, angle, volume, equivalent spherical radius, and aspect ratio were measured from specimens collected during the Bathypelagic cruise.
    Keywords: BATHYPELAGIC; Biomass and Active Flux in the Bathypelagic Zone; body-mass density; bristlemouth; Estructura y dinámica del ecosistema bentopelágico de talud en dos zonas oligotróficas del Mediterráneo: una aproximación multidisciplinar y a distintas escalas temporales en las Islas Baleares; fatty-tissue; Gas; Histology; ICM_Excellence_Centre; IDEADOS; micronekton; Severo Ochoa Centre of Excellence; SUMMER; Sustainable Management of Mesopelagic Resources; swimbladder; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 18
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    Pollen profile LOCLAT1A, Le Loclat, Switzerland (2010)
    PANGAEA
    In:  European Pollen Database (EPD)
    Details
    Publication Date: 2024-06-14
    Keywords: Abies; Acer; Allium-type; Alnus; Anemone nemorosa-type; Artemisia; Asteroideae; Betula; Boraginaceae; Botrychium; Bryales; Bupleurum-type; Buxus sempervirens; Calluna vulgaris; Caltha-type; Campanulaceae; Cannabaceae; Carpinus betulus; Caryophyllaceae; Castanea sativa; Centaurea; Centaurea cyanus; Centaurea montana; Centaurea nigra-type; Centaurea scabiosa; Cerealia; Chenopodiaceae-type; Cichorioideae; Cirsium-type; Cladium mariscus; Coniferae indeterminable; Cornus mas; Cornus sanguinea; Corylus avellana; Counted exote; Cruciferae; Cyperaceae; Cystopteris fragilis; DEPTH, sediment/rock; Dinoflagellates; Dipsacaceae; Dryas octopetala; Empetrum-type; Ephedra distachya-type; Ephedra fragilis-type; Equisetum; Ericaceae; Euonymus; Fagus; Fern spores, monolete; Fern spores, trilete; Filipendula; Frangula alnus; Fraxinus excelsior; Gentiana pneumonanthe-type; Geranium; Gramineae; Gypsophila repens-type; Hedera helix; Helianthemum; Heracleum; Hippophae rhamnoides; Hypericum; Indeterminable: unknown; Juglans; Juniperus; Knautia; Labiatae; Le Loclat, Switzerland; LeLoclatL-P1a; Liliaceae-type; Linum; Linum usitatissimum-type; LOCLAT1A; Lotus-type; Lycopodium; Lycopodium tablets; Lysimachia; Lythrum; Malvaceae; Mentha-type; Mercurialis; Myriophyllum alterniflorum; Myriophyllum spicatum; Nuphar; Nymphaea; Onobrychis-type; Ononis-type; Ophioglossum vulgatum; Papaver rhoeas-type; Papilionaceae; Pediastrum; Picea; Pinus; Plantago; Plantago alpina-type; Plantago lanceolata-type; Plantago major; Plantago major-type; Plantago media; Pollen, cf. upland herbs; Pollen, reworked; Polygala; Polygonum aviculare; Polygonum bistorta-type; Polygonum persicaria-type; Polypodium; Populus; Potamogeton-type; Potentilla-type; Pteridium aquilinum; Quercus; Ranunculaceae; Ranunculus acris-type; Rhamnus; Rhinanthus; Rosaceae; Rosaceae tree; Rubiaceae; Rumex-type; Salix; Sambucus nigra-type; Sample volume; Sanguisorba minor-type; Sanguisorba officinalis; Saxifraga oppositifolia-type; Scabiosa; Scrophulariaceae; Secale; Selaginella selaginoides; SMCOR; Smith corer; Solanum; Sparganium-type; Taxus baccata; Thalictrum; Thelypteris palustris; Tilia; Trifolium-type; Typha latifolia-type; Ulmus; Umbelliferae; Urtica; Utricularia; Valeriana; Valerianella; Viburnum; Viscum; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 34034 data points
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  • 19
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    Pollen and dinoflagellate cyst counts on sediment core M72/5_628-1 (MD72/5-25-GC1) from the Black Sea (2014)
    PANGAEA
    In:  Supplement to: Shumilovskikh, Lyudmila S; Fleitmann, Dominik; Nowaczyk, Norbert R; Behling, Hermann; Marret, Fabienne; Wegwerth, Antje; Arz, Helge Wolfgang (2014): Orbital- and millennial-scale environmental changes between 64 and 20 ka BP recorded in Black Sea sediments. Climate of the Past, 10(3), 939-954, https://doi.org/10.5194/cp-10-939-2014
    Details
    Publication Date: 2024-06-14
    Description: High-resolution pollen and dinoflagellate cyst records from sediment core M72/5-25-GC1 were used to reconstruct vegetation dynamics in northern Anatolia and surface conditions of the Black Sea between 64 and 20 ka BP. During this period, the dominance of Artemisia in the pollen record indicates a steppe landscape and arid climate conditions. However, the concomitant presence of temperate arboreal pollen suggests the existence of glacial refugia in northern Anatolia. Long-term glacial vegetation dynamics reveal two major arid phases ~64-55 and 40-32 ka BP, and two major humid phases ~54-45 and 28-20 ka BP, correlating with higher and lower summer insolation, respectively. Dansgaard-Oeschger (D-O) cycles are clearly indicated by the 25-GC1 pollen record. Greenland interstadials are characterized by a marked increase in temperate tree pollen, indicating a spread of forests due to warm/wet conditions in northern Anatolia, whereas Greenland stadials reveal cold and arid conditions as indicated by spread of xerophytic biomes. There is evidence for a phase lag of ~500 to 1500 yr between initial warming and forest expansion, possibly due to successive changes in atmospheric circulation in the North Atlantic sector. The dominance of Pyxidinopsis psilata and Spiniferites cruciformis in the dinocyst record indicates brackish Black Sea conditions during the entire glacial period. The decrease of marine indicators (marine dinocysts, acritarchs) at ~54 ka BP and increase of freshwater algae (Pediastrum, Botryococcus) from 32 to 25 ka BP reveals freshening of the Black Sea surface water. This freshening is possibly related to humid phases in the region, to connection between Caspian Sea and Black Sea, to seasonal freshening by floating ice, and/or to closer position of river mouths due to low sea level. In the southern Black Sea, Greenland interstadials are clearly indicated by high dinocyst concentrations and calcium carbonate content, as a result of an increase in primary productivity. Heinrich events show a similar impact on the environment in the northern Anatolia/Black Sea region as Greenland stadials.
    Keywords: 25-GC1; Abies; Acer; AGE; Alisma-type; Alnus; Apiaceae; Artemisia; Asteraceae; Ballota-type; Betula; Bistorta-type; Bitectatodinium tepikiense; Black Sea; Botryococcus; Brassicaceae; Buxus; Campanula trachelium-type; Cannabaceae; Carpinus betulus; Carya; Caryophyllaceae; Caspidinium rugosum; Castanea; Cedrus; Celtis; Centaurea alpina-type; Centaurea cyanus; Centaurea jacea-type; Cerealia-type; Chenopodiaceae; Cirsium; Cistus salvifolius; Coniferae; Cornus mas-type; Corylus; Cotinus coggygria; Counting, palynology; Cymatiosphaera; Cynoglossum; Cyperaceae; DEPTH, sediment/rock; Dinoflagellate cyst indeterminata; Dinoflagellate cyst reworked; Ephedra distachya-type; Ephedra fragilis-type; Ericaceae; Fabaceae; Fagus; Filipendula; Frangula alnus; Fraxinus angustifolia var. oxycarpa; Fraxinus excelsior-type; Galeopsis-type; GC; Gentiana pneumonanthe-type; Glomus; Gravity corer; Haloxylon; Hedera helix-type; Hedysarum hedysaroides; Helianthemum nummularium group; Helianthemum oelandicum-type; Helleborus foetidus; Hippophae; Ilex; Indeterminata; Jasione montana-type; Juglans; Juniperus; Knautia; Liguliflorae; Liliaceae; Lingulodinium machaerophorum; Linum; Liquidambar; Lycopodium spores counted; Lycopodium spores per tablet; Lycopodium tablets; M72/5; M72/5_628-1; Matricaria-type; Mentha-type; Meteor (1986); Micrhystridium; Multiplicisphaeridium; Muscari neglectum-type; Myrica; Olea; Operculodinium centrocarpum; Ornithogalum umbellatum-type; Ostrya-type; Papaver rhoeas group; Pediastrum; Phillyrea; Picea; Pinus; Pinus diploxylon-type; Pinus haploxylon-type; Pistacia; Plantago lanceolata-type; Plantago major/media-type; Plantago maritima-type; Platanus orientalis; Plumbaginaceae; Poaceae; Pollen, reworked; Polygonum aviculare-type; Potamogeton natans-type; Potentilla-type; Prunus-type; Pterocarya; Pulmonaria-type; Pyxidinopsis psilata; Quercus cerris-type; Quercus ilex-type; Quercus robur-type; Ranunculus acris-type; Rhamnus-type; Rheum; Rhinanthus-type; Rubiaceae; Rumex; Salix; Sambucus ebulus; Sanguisorba minor-type; Saussurea-type; Saxifraga aizoides-type; Saxifraga cuneifolia-type; Saxifraga stellaris-type; Scabiosa argentea; Scrophulariaceae; Senecio-type; Sorbus group; Sparganium-type; Spiniferites bentori; Spiniferites cruciformis; Spiniferites pachydermus; Spiniferites spp.; Symphytum; Tamarix; Taxus; Tectatodinium pellitum; Thalictrum; Tilia; Tribulus terrestris; Tsuga; Tuberculodinium vancampoae; Ulmus/Zelkova; Valeriana saxatilis-type; Varia; Verbena officinalis; Viburnum lantana; Vitis; Xanthium spinosum-type; Zygnemataceae
    Type: Dataset
    Format: text/tab-separated-values, 24450 data points
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  • 20
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    Pollen profile TMGM2, Gomishan, Islamic Republic of Iran (2014)
    PANGAEA
    In:  European Pollen Database (EPD)
    Details
    Publication Date: 2024-06-14
    Keywords: Abies; Acer; Alnus; Anthoceros; Apiaceae; Artemisia; Asteraceae Liguliflorae; Asteraceae Tubuliflorae; Azolla/Salvinia; Betula; Botrychium; Brassicaceae; Buxus; Calligonum; Cannabaceae; Carpinus betulus; Carpinus orientalis; Caryophyllaceae; Cedrus; Centaurea; Cerealia-type; Chenopodiaceae/Amaranthaceae; Cistus; Cladium; Convolvulus; Corylus; Counting, palynology; Cyperaceae; DEPTH, sediment/rock; Diospyrus; Dipsacaceae; Dryopteris filix-mas; Echium; Ephedra alata-type; Ephedra major-type; Ephedra sp.; Eremurus; Fabaceae; Fagus; Filipendula; Fraxinus excelsior; Gomishan, Islamic Republic of Iran; Haplophyllum; Hedera; Hippophae; Indeterminable: undifferentiated; Indeterminable: unknown; Juglans; Juniperus; Lamiaceae; Ligustrum; Liliaceae; Lotus; Lythrum; Monolete non-psilate; Monolete psilate; Myriophyllum verticillatum; Olea; Parrotia persica; Picea; Pinaceae; Pinus; Pistacia; Plantago; Plumbaginaceae; Poaceae; Pollen, reworked; Pollen, total; Polygonum aviculare/P. bistorta-type; Populus; Potamogeton; Primula; Pteridium aquilinum; Pteris; Pterocarya; Quercus, deciduous; Quercus sempervirens; Ranunculaceae; RCD; Rosaceae; Rotary core drilling; Rubiaceae; Rumex; Ruppia; Salix; Salvinia/Azolla massulae; Sanguisorba minor; Saxifraga; Tamarix; Taxus; Thalictrum; Thelypteris palustris; TMGM2; Trilete non-psilate; Trilete psilate; Typha/Sparganium; Typha (tetrad); Ulmus/Zelkova; Urticaceae/Moraceae; Valerianaceae; Viscum; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 3648 data points
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  • 21
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    Physical oceanography, abundance, biomass and respiration data of fishes (Stomiiformes) from the BATHYPELAGIC cruise (June 2018) to the Northeast Atlantic Ocean (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: Physical oceanography variables and carbon remineralisation (juveniles/adults of Cyclothone species and Argyropelecus hemigymnus) were analysed during the BATHYPELAGIC cruise (North Atlantic, June 2018). This dataset contains the depth, temperature, and conductivity which were recorded from surface to a maximum depth of 2000 m using a SeaBird SBE 25plus CTD equipped with a Seabird-43 Dissolved Oxygen sensor and a Seapoint Fluorometer. Values of numerical abundance, biomass, specific ETS activity, specific respiraton and respiration flux data analyzed from Northwest Africa (20° N, 20° W) to the South of Iceland are presented. A. hemigymnus specimens were collected using a ''Mesopelagos” net (5 x7 m mouth opening, 58 m total length) equipped with graded-mesh netting (starting with 30 mm and ending with 4 mm) and a multi-sampler for collecting samples from 5 different depth layers. However, Cyclothone specimens were collected using the Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS-1 m²) zooplankton net with a 0.2 mm mesh size and with several nets for collecting samples from 8 different depth layers. The Mesopelagos catches were sorted out and identified on board to the lowest possible taxon, and specimens selected for Electron Transfer System (ETS) analyses were immediately frozen in liquid nitrogen for later analysis in the laboratory. MOCNESS samples were preserved in 5% buffered formalin, and specimens were sorted out later in the laboratory. Stomiiforms respiration in the meso- and bathypelagic zones of the ocean were estimated along the transect. Abundance, biomass, specific ETS activity, specific respiration and respiration are given by layer between e.g. 100 m and 1000 m depth (MOCNESS net, 1900–1600 m, 1600–1300 m, 1300–1000 m, 1000–700 m, 700–400 m, 400–200 m, 200–100 m and 100–0 m; Mesopelagos, 1900–1200 m, 1200–800 m, 800–500 m, 500–200 m and 200–0 m).
    Keywords: bathypelagic; BATHYPELAGIC; biological carbon pump; Biomass and Active Flux in the Bathypelagic Zone; Carbon; fish; ICM_Excellence_Centre; mesopelagic; Northeast Atlantic; remineralization; respiration flux; Severo Ochoa Centre of Excellence; SUMMER; Sustainable Management of Mesopelagic Resources; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 22
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    Pollen profile GS05 (2014)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Keywords: Acer; Aesculus; Alnus; Anabaena; Apiaceae; Artemisia; Asteraceae Liguliflorae; Asteraceae Tubuliflorae; Azolla/Salvinia; Betula; Boraginaceae; Botryococcus braunii; Brassicaceae; Calligonum; Campanula; Cannabaceae; Carpinus betulus; Caryophyllaceae; Castanea; Cedrus; Centaurea; Cerealia-type; Chenopodiaceae/Amaranthaceae; Convolvulaceae; Cornus; Corylus; Counting, palynology; Cousinia; Cyperaceae; DEPTH, sediment/rock; Dryopteris filix-mas; Echium; Elaeagnus; Ephedra; Ephedra alata-type; Ephedra major-type; Eremurus; Ericaceae; Erodium; Euphorbia; Fabaceae; Fagus; Filipendula; Fraxinus excelsior; Gloeotrichia; GS05; Haplophyllum; Heliotropium; Hippophae; Incertae sedis; Indeterminable: unknown; Juglans; Juniperus; KULC; KULLENBERG corer; Lamiaceae; Ligustrum; Liliaceae; Littorella; Menyanthes; Mercurialis annua; Monolete non-psilate; Monolete psilate; Mougeotia; Nitraria; Olea; Ophioglossum; Parrotia persica; Pediastrum boryanum; Picea; Pinaceae; Pinus; Pinus haploxylon; Pistacia; Plantago; Plumbaginaceae; Poaceae; Pollen, reworked; Pollen and spores per unit sediment mass; Pollen indeterminata; Polygonum; Polygonum bistorta-type; Polypodium vulgare; Potamogeton; Pteridium aquilinum; Pterocarya; Pterosperma; Quercus; Quercus sempervirens; Radiosperma; Ranunculaceae; Ranunculus acris-type; Rhamnaceae; Rhus; Riccia; Rosaceae; Rubiaceae; Rumex sp.; Ruppia; Salix; Sambucus; Sanguisorba minor; Sanguisorba officinalis; Sphagnum; Tamarix; Taxus; Teucrium; Thalictrum; Thymelaeaceae; Tilia; Trilete non-psilate; Trilete psilate; Typha/Sparganium; Typha latifolia-type; Ulmus/Zelkova; Urticaceae/Moraceae; Vitis; Zygnema
    Type: Dataset
    Format: text/tab-separated-values, 7181 data points
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  • 23
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    Data product of full-depth current velocity observations at 0°N, 23°W from 2001-2021 (v1.0) (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: Since 2001, current velocities have been measured continuously as part of a multilateral collaboration, the Prediction and Research Moored Array in the Tropical Atlantic (PIRATA), that regularly services a moored observatory located at 0°N, 23°W. Here, we present 20 years of full-depth current velocity observations at 0°N, 23°W. With the presented current velocity data product, we aim to provide an important and accessible reference data set against which models and reanalysis output could be validated. The velocity time series will also be helpful for studies focusing on long-term climate variability to search for connections with changes in the equatorial circulation over the last 20 years. Earlier versions of this data product have already been used in a variety of studies and provided a significant contribution to an overall improved understanding of equatorial ocean dynamics. The moored observatory at 0°N, 23°W is an ongoing example of a successful multinational collaboration extending over more than two decades.
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; Enhancing Prediction of Tropical Atlantic Climate and its Impact; Equatorial Atlantic; Physical oceanographic data; PIRATA; Prediction and Research Moored Array in the Tropical Atlantic; PREFACE; RACE; Regional Atlantic Circulation and global Change; SFB754; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management
    Type: Dataset
    Format: 23 datasets
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  • 24
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    Data product of full-depth current velocity observations at 0°N, 23°W (v1.0) (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); Climate - Biogeochemistry Interactions in the Tropical Ocean; Description; Equatorial Atlantic; Physical oceanographic data; PIRATA; Prediction and Research Moored Array in the Tropical Atlantic; RACE; Regional Atlantic Circulation and global Change; SFB754; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
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  • 25
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    Data product of full-depth current velocity observations at 0°N, 23°W from 2001-2023 (v2.0) (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: Since 2001, current velocities have been measured continuously as part of a multilateral collaboration, the Prediction and Research Moored Array in the Tropical Atlantic (PIRATA), that regularly services a moored observatory located at 0°N, 23°W. Here, we present an update of 20 years of full-depth current velocity observations at 0°N, 23°W. With the presented current velocity data product, we aim to provide an important and accessible reference data set against which models and reanalysis output could be validated. The velocity time series will also be helpful for studies focusing on long-term climate variability to search for connections with changes in the equatorial circulation over the last 20 years. Earlier versions of this data product have already been used in a variety of studies and provided a significant contribution to an overall improved understanding of equatorial ocean dynamics. The moored observatory at 0°N, 23°W is an ongoing example of a successful multinational collaboration extending over more than two decades.
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; Equatorial Atlantic; Physical oceanographic data; PIRATA; Prediction and Research Moored Array in the Tropical Atlantic; RACE; Regional Atlantic Circulation and global Change; SFB754; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management
    Type: Dataset
    Format: 24 datasets
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  • 26
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    Master tracks in different resolutions of POLARSTERN cruise PS138, Tromsø - Bremerhaven, 2023-08-02 - 2023-10-01 (2023)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-14
    Description: Raw data acquired by position sensors on board RV Polarstern during expedition PS138 was processed to receive a validated master track which can be used as reference of further expedition data. During PS138 two Trimble Marine R750 GPS receivers and the iXBlue HYDRINS hydrographic survey inertial navigation system were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
    Keywords: ArcWatch-1; Calculated; Course; CT; DATE/TIME; LATITUDE; LONGITUDE; Polarstern; PS138; PS138-track; Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 17214 data points
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  • 27
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    Geochemical data for SOB14-A-21, a Lena Delta 1st terrace exposure (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: The Holocene delta deposit (1st terrace) exposure SOB14-A-21 (72.53671°N, 127.98945°E) was sampled on 17 August 2014 North of Sobo-Sise Island in the Lena Delta during the framework of the joint Russian-German Expedition LENA 2014. The surface (top) of the exposure was characterized by mosses and sedges. The exposure itself was predominately sandy with few organic remnants. The top organic layer is thin (1.5 cm) and the active layer depth could not be determined exactly. However, the top 170 cm of the exposure were unfrozen although the thaw front might not only be from the top down but also horizontally due to the nature of the exposure. The exposure was first cleaned with a spade and then sampled with a knife and a hole saw from top to bottom. The entire exposure had a depth of 605 cm whereof the bottom 35 cm consisted of ice. Every 25 cm a sample was collected resulting in 22 samples (20 sediment samples and 2 ice samples). The samples were kept cool during the transport and later analyzed in the laboratory for bulk density, total organic carbon, and total nitrogen with a Vario EL III Elemental Analyzer. Prior to analysis, samples were freeze-dried, homogenized, and ground before measuring the samples with the elemental analyzer. The ice samples were not analyzed.
    Keywords: Arctic Delta; AWI_Perma; AWI Arctic Land Expedition; Carbon; Carbon, organic, total; Carbon/Nitrogen ratio; Carbon and nitrogen and sulfur (CNS) isotope element analyzer, Elementar, Vario EL III; DATE/TIME; Density, dry bulk; Density, wet bulk; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Description; EXPO; Exposure; Ice content, gravimetric; Ice content, volumetric; LATITUDE; Lena_Delta_Sobo-Byk_2014; Lena Delta; LONGITUDE; Nitrogen; Nitrogen, total; permafrost; Permafrost Research; PETA-CARB; PG-SOB14-A-21; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; RU-Land_2014_Lena_Sobo-Byk; Sample, dry mass; Sample, wet mass; Sample code/label; Sample comment; Sample thickness; Sample volume; Sampling; Site; Size fraction 〉 2 mm, gravel; Soil organic carbon storage; Soil total nitrogen storage; Type; Water loss per dry weight
    Type: Dataset
    Format: text/tab-separated-values, 480 data points
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    DATA PANGAEA
  • 28
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    Basic measurements of radiation at station Lampedusa (2024-04) (2024)
    PANGAEA
    In:  Italian National Agency for New Technologies, Energy and Sustainable Economic Development
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Lampedusa; LMP; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Mediterranean; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 211429, WRMC No. 90101; Pyranometer, Kipp & Zonen, CMP21, SN 211437, WRMC No. 90103; Pyrgeometer, Kipp & Zonen, CGR4, SN 190329, WRMC No. 90200; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110532, WRMC No. 90001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 803024 data points
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    DATA PANGAEA
  • 29
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    Basic measurements of radiation at station Izaña (2012-03) (2012)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 837193 data points
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    DATA PANGAEA
  • 30
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    Basic measurements of radiation at station Izaña (2012-05) (2012)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 837987 data points
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  • 31
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    Basic measurements of radiation at station Izaña (2012-07) (2012)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 837532 data points
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  • 32
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    Basic measurements of radiation at station Izaña (2012-09) (2012)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 758761 data points
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  • 33
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    Basic measurements of radiation at station Izaña (2012-11) (2012)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 743639 data points
    Location Call Number Expected Availability
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  • 34
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    Basic measurements of radiation at station Gobabeb (2012-05) (2013)
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Details
    Publication Date: 2024-06-14
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 158706 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 35
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    Basic measurements of radiation at station Gobabeb (2012-07) (2013)
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Details
    Publication Date: 2024-06-14
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 305514 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 36
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    Basic measurements of radiation at station Gobabeb (2012-09) (2013)
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Details
    Publication Date: 2024-06-14
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 297197 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 37
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    Basic and other measurements of radiation at station Gobabeb (2013-04) (2013)
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Details
    Publication Date: 2024-06-14
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, standard deviation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyranometer, Kipp & Zonen, CMP22, SN 120330, WRMC No. 20102; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrgeometer, Kipp & Zonen, CGR4, SN 120457, WRMC No. 20201; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 561204 data points
    Location Call Number Expected Availability
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  • 38
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    Basic measurements of radiation at station Izaña (2013-07) (2013)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 802982 data points
    Location Call Number Expected Availability
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  • 39
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    Basic and other measurements of radiation at station Gobabeb (2013-07) (2013)
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Details
    Publication Date: 2024-06-14
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, standard deviation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyranometer, Kipp & Zonen, CMP22, SN 120330, WRMC No. 20102; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrgeometer, Kipp & Zonen, CGR4, SN 120457, WRMC No. 20201; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 579522 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 40
    facet.materialart.
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    Basic measurements of radiation at station Izaña (2013-09) (2013)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 798117 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 41
    facet.materialart.
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    Basic and other measurements of radiation at station Gobabeb (2013-08) (2013)
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Details
    Publication Date: 2024-06-14
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, standard deviation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyranometer, Kipp & Zonen, CMP22, SN 120330, WRMC No. 20102; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrgeometer, Kipp & Zonen, CGR4, SN 120457, WRMC No. 20201; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 579990 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 42
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    Unknown
    Basic and other measurements of radiation at station Izaña (2017-05) (2017)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; EKO Instruments, MR-60, SN S15115.07, WRMC No. 61013; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Net radiation; Net radiation, maximum; Net radiation, minimum; Net radiation, standard deviation; Pyranometer, EKO, MS-802F, SN F15508FR, WRMC No. 61010; Pyranometer, EKO, MS-802F, SN F15509FR, WRMC No. 61011; Pyrgeometer, Kipp & Zonen, CGR4, SN 080022, WRMC No. 61004; Pyrheliometer, EKO, MS-56, SN P15048, WRMC No. 61012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1154915 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 43
    facet.materialart.
    Unknown
    Basic and other measurements of radiation at station Izaña (2017-06) (2017)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; EKO Instruments, MR-60, SN S15115.07, WRMC No. 61013; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Net radiation; Net radiation, maximum; Net radiation, minimum; Net radiation, standard deviation; Pyranometer, EKO, MS-802F, SN F15508FR, WRMC No. 61010; Pyranometer, EKO, MS-802F, SN F15509FR, WRMC No. 61011; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, EKO, MS-56, SN P15048, WRMC No. 61012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1203152 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 44
    facet.materialart.
    Unknown
    Basic and other measurements of radiation at station Izaña (2017-09) (2017)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; EKO Instruments, MR-60, SN S15115.07, WRMC No. 61013; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Net radiation; Net radiation, maximum; Net radiation, minimum; Net radiation, standard deviation; Pyranometer, EKO, MS-802F, SN F15508FR, WRMC No. 61010; Pyranometer, EKO, MS-802F, SN F15509FR, WRMC No. 61011; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, EKO, MS-56, SN P15048, WRMC No. 61012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1296643 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 45
    facet.materialart.
    Unknown
    Basic and other measurements of radiation at station Izaña (2017-10) (2017)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; EKO Instruments, MR-60, SN S15115.07, WRMC No. 61013; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Net radiation; Net radiation, maximum; Net radiation, minimum; Net radiation, standard deviation; Pyranometer, EKO, MS-802F, SN F15508FR, WRMC No. 61010; Pyranometer, EKO, MS-802F, SN F15509FR, WRMC No. 61011; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, EKO, MS-56, SN P15048, WRMC No. 61012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1354691 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 46
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Izaña (2009-12) (2014)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 840673 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 47
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Izaña (2014-11) (2014)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 763092 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 48
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Izaña (2010-01) (2014)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 841027 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 49
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Izaña (2010-02) (2014)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 657325 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 50
    facet.materialart.
    Unknown
    Basic and other measurements of radiation at station Gobabeb (2018-01) (2018)
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Details
    Publication Date: 2024-06-14
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, standard deviation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyranometer, Kipp & Zonen, CMP22, SN 120330, WRMC No. 20102; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrgeometer, Kipp & Zonen, CGR4, SN 120457, WRMC No. 20201; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 579944 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 51
    facet.materialart.
    Unknown
    Pollen profile data from polygon cores in the Siberian Arctic (2018)
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Details
    Publication Date: 2024-06-14
    Keywords: Algae; Alnus fruticosa-type; Artemisia; Asteraceae saussurea-type; Asteraceae senecio-type; AWI_12P-1707-1; AWI_12P-2107-1; AWI_PerDyn; AWI Arctic Land Expedition; Betula sect. Albae; Betula sect. Nanae; Botrychium; Botryoccocus; Brassicaceae; Bryophyta; Caryophyllaceae; Cercophora; cf. Caltha; cf. Chrysosplenium; cf. Hippurus; cf. Lagotis; cf. Myriophyllum; cf. Orthillia; cf. Parnassia; cf. Pedicularis; cf. Potamogeton; cf. Rubus chamaemorus; cf. Saxifraga hirculus; cf. Sparganium; Chenopodiaceae; Cichoriaceae taraxacum-type; Cyperaceae; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Encalypta; Equisetum; Ericales; Event label; Fabaceae; Fungi; Gelasinospora; Huperzia selago; Kytalyk-Pokhodsk_2012, Kolyma2012; Lamiaceae; LAND; Larix; Latitude of event; Liliaceae; Linum alpinum; Longitude of event; Lycopodium annotinum-type; Lycopodium appressum; Lycopodium complanatum; Lycopodium pungens; Lycopodium sp.; Lycopodium spike; Microthyrium; Number; Onagraceae; Ophioglossum; Osmuda; Papaveraceae; Pediastrum; Permafrost Research (Periglacial Dynamics) @ AWI; Pinaceae indeterminata; Pinus subgen. Haploxylon; Poaceae; POK1_C; POK4_W; Polemonium; Pollen; Pollen, reworked; Pollen indeterminata; Polygonaceae; Polypodiaceae; Potentilla sp.; Ranunculaceae; Riccia; Rosaceae; RU-Land_2012_Kytalyk_Kolyma; Salix; Sample code/label; Sample mass; Sampling/measurement on land; Saxifraga; Selaginella rupestris; Siberia, Russia; Sphagnum; Spikes; Spores; Sporormiella; Thalictrum; Ustulina; Valeriana; Zygnema-type
    Type: Dataset
    Format: text/tab-separated-values, 1479 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 52
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    Unknown
    Basic and other measurements of radiation at station Izaña (2018-05) (2018)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; EKO Instruments, MR-60, SN S15115.07, WRMC No. 61013; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Net radiation; Net radiation, maximum; Net radiation, minimum; Net radiation, standard deviation; Pyranometer, EKO, MS-802F, SN F15508FR, WRMC No. 61010; Pyranometer, EKO, MS-802F, SN F15509FR, WRMC No. 61011; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, EKO, MS-56, SN P15048, WRMC No. 61012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1286183 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 53
    facet.materialart.
    Unknown
    Basic and other measurements of radiation at station Gobabeb (2018-05) (2018)
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Details
    Publication Date: 2024-06-14
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, standard deviation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyranometer, Kipp & Zonen, CMP22, SN 120330, WRMC No. 20102; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrgeometer, Kipp & Zonen, CGR4, SN 120457, WRMC No. 20201; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 579876 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 54
    facet.materialart.
    Unknown
    Basic and other measurements of radiation at station Izaña (2018-06) (2018)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; EKO Instruments, MR-60, SN S15115.07, WRMC No. 61013; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Net radiation; Net radiation, maximum; Net radiation, minimum; Net radiation, standard deviation; Pyranometer, EKO, MS-802F, SN F15508FR, WRMC No. 61010; Pyranometer, EKO, MS-802F, SN F15509FR, WRMC No. 61011; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, EKO, MS-56, SN P15048, WRMC No. 61012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1272636 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 55
    facet.materialart.
    Unknown
    Basic and other measurements of radiation at station Gobabeb (2018-07) (2018)
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Details
    Publication Date: 2024-06-14
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, standard deviation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyranometer, Kipp & Zonen, CMP22, SN 120330, WRMC No. 20102; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrgeometer, Kipp & Zonen, CGR4, SN 120457, WRMC No. 20201; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 579732 data points
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  • 56
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    Basic and other measurements of radiation at station Izaña (2018-07) (2018)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; EKO Instruments, MR-60, SN S15115.07, WRMC No. 61013; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Net radiation; Net radiation, maximum; Net radiation, minimum; Net radiation, standard deviation; Pyranometer, EKO, MS-802F, SN F15508FR, WRMC No. 61010; Pyranometer, EKO, MS-802F, SN F15509FR, WRMC No. 61011; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, EKO, MS-56, SN P15048, WRMC No. 61012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1303636 data points
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  • 57
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    Basic and other measurements of radiation at station Gobabeb (2018-06) (2018)
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Details
    Publication Date: 2024-06-14
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, standard deviation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyranometer, Kipp & Zonen, CMP22, SN 120330, WRMC No. 20102; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrgeometer, Kipp & Zonen, CGR4, SN 120457, WRMC No. 20201; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 561334 data points
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  • 58
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    Basic and other measurements of radiation at station Izaña (2018-08) (2018)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; EKO Instruments, MR-60, SN S15115.07, WRMC No. 61013; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Net radiation; Net radiation, maximum; Net radiation, minimum; Net radiation, standard deviation; Pyranometer, EKO, MS-802F, SN F15508FR, WRMC No. 61010; Pyranometer, EKO, MS-802F, SN F15509FR, WRMC No. 61011; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, EKO, MS-56, SN P15048, WRMC No. 61012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1296313 data points
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  • 59
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    Table 2 (page 260), Average chemical composition of the WALDA nodules (R/V Jean Charcot expedition) (1979)
    PANGAEA
    In:  Supplement to: Pignet, G; Martin, G; Bougault, Henri (1979): Les nodules polymétalliques et la dépollution des eaux (Polymetalic nodules and water depollution). Journal Français d'Hydrologie, 10(3), 179-188, https://archimer.ifremer.fr/doc/00000/5396/4850.pdf
    Details
    Publication Date: 2024-06-14
    Description: Manganese rich polymetallic nodules are used for trace element removal from fresh-water. The theory of kinetics and mechanisms of reactions are discussed for manganese removal. The efficiency of nodules is higher than efficiency related to other manganese removal methods. Pilot units involving continuous processes are discussed.
    Keywords: Atomic absorption spectrometry (AAS); DEPTH, sediment/rock; Description; Dredge; DRG; Elevation of event; Iron; Jean Charcot; Latitude of event; Longitude of event; Manganese; Method/Device of event; Nickel; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Sample ID; South Atlantic Ocean; WALDA-003_CH20; WALDA-DS17
    Type: Dataset
    Format: text/tab-separated-values, 5 data points
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  • 60
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    Observed transport variability of the Atlantic Subtropical Cells and their connection to tropical sea surface temperature variability (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: The shallow meridional overturning cells of the Atlantic Ocean, the Subtropical Cells (STCs), consist of poleward Ekman transport at the surface, subduction in the subtropics, equatorward flow at thermocline level and upwelling along the equator and at the eastern boundary. In this study we provide the first observational estimate of transport variability associated with the horizontal branches of the Atlantic STCs in both hemispheres based on Argo float data and supplemented by reanalysis products. Thermocline layer transport convergence and surface layer transport divergence between 10°N and 10°S are dominated by seasonal variability. Meridional thermocline layer transport anomalies at the western boundary and in the interior basin are anti-correlated and partially compensate each other at all resolved time scales. It is suggested that the seesaw-like relation is forced by the large-scale off-equatorial wind stress changes through low-baroclinic-mode Rossby wave adjustment. We further show that anomalies of the thermocline layer interior transport convergence modulate sea surface temperature (SST) variability in the upwelling regions along the equator and at the eastern boundary at time scales longer than 5 years. Phases of weaker (stronger) interior transport are associated with phases of higher (lower) equatorial SST. At these time scales, STC transport variability is forced by off-equatorial wind stress changes, especially by those in the southern hemisphere. At shorter time scales, equatorial SST anomalies are, instead, mainly forced by local changes of zonal wind stress.
    Keywords: BANINO; Benguela Niños: Physikalische Prozesse und langperiodische Variabilität; Climate - Biogeochemistry Interactions in the Tropical Ocean; RACE; Regional Atlantic Circulation and global Change; SFB754; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management
    Type: Dataset
    Format: 16 datasets
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  • 61
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    Transports and pathways of the tropical AMOC return flow from Argo data and shipboard velocity measurements (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: The upper-ocean circulation of the tropical Atlantic is a complex superposition of thermohaline and wind-driven flow components. The resulting zonally- and vertically-integrated upper-ocean meridional flow is referred to as the upper branch of the Atlantic Meridional Overturning Circulation (AMOC) - a major component and potential tipping element of the global climate system. We investigate the tropical part of the northward AMOC branch, i.e. the return flow covering the upper 1,200 m, based on Argo data and repeated shipboard velocity measurements. The western boundary mean circulation at 11°S is realistically reproduced from high-resolution Argo data showing a remarkably good representation of the vertical structure of meridional velocity and the volume transport of water mass layers when compared to results from direct velocity measurements along a repeated ship section. Thus, we extend the analysis to the inner tropical Atlantic. Within the AMOC return flow, a diapycnal upwelling of central water into the thermocline layer of ~2 Sv is derived between 11°S and 10°N which is about half the magnitude of previous estimates, likely due to improved horizontal resolution. The mean strength of the AMOC return flow is ~16 Sv across 11°S and 10°N. At 11°S, northward transport is concentrated at the western boundary where the AMOC return flow enters the tropics at all vertical layers above 1,200 m. At 10°N, northward transport is observed both at the western boundary and in the interior predominantly in the surface and intermediate layer indicating recirculation and transformation of thermocline and central water within the tropics.
    Keywords: BANINO; Benguela Niños: Physikalische Prozesse und langperiodische Variabilität; currents; physical oceanography; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; tropical Atlantic
    Type: Dataset
    Format: 46 datasets
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  • 62
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    Pollen profile CP14, Caspian Sea (2018)
    PANGAEA
    In:  European Pollen Database (EPD)
    Details
    Publication Date: 2024-06-14
    Keywords: Acer; AGE; Alnus; Alternanthera; Armeria; Artemisia; Asteroideae; Betula; Boraginaceae; Botrychium; Calligonum; Calluna; Carpinus betulus; Caryophyllaceae; Caspian Sea CP 14; Castanea; Centaurea; Centaurea collina; Centaurea cyanus; Centaurea montana; Centaurea sinaica; Cerealia; Chenopodiaceae/Amaranthaceae; Cichorioideae; Corylus; Counting, palynology; CP14; Cruciferae; Cupressaceae; Cyperaceae; DEPTH, sediment/rock; Dipsacus; Dryopteris filix-mas; Echium; Elaeagnus; EPD; Ephedra alata-type; Ephedra major-type; Ephedra undifferentiated; Eremurus; Ericaceae; Euphorbia; Fagus; Filipendula; Fraxinus; Gramineae; Haplophyllum; Hippophae; Indeterminable: undifferentiated; Indeterminable: unknown; Juglans; KULC; KULLENBERG corer; Labiatae (6); Legousia; Liliaceae; Littorella; Lycopodium annotinum; Lycopodium selago; Monolete non-psilate; Monolete psilate; Myrtaceae; Papilionaceae; Parrotia persica; Picea; Pinus; Pistacia; Plantago; Plantago lanceolata; Pollen; Pollen, reworked; Polypodium vulgare; Potamogeton; Pteridium aquilinum; Pterocarya; Quercus; Quercus sempervirens; Rhamnaceae; Riccia; Rosaceae; Rubiaceae; Rumex; Salix; Sanguisorba minor; Spergularia; Sphagnum; Tamarix; Thalictrum; Thelypteris palustris; Tilia; Trifolium; Trilete non-psilate; Trilete psilate; Tsuga; Typha/Sparganium; Ulmus/Zelkova; Umbelliferae; Urticaceae/Moraceae; Viscum; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 2668 data points
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  • 63
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    Pollen profile GS18, Caspian Sea (2018)
    PANGAEA
    In:  European Pollen Database (EPD)
    Details
    Publication Date: 2024-06-14
    Keywords: Abies; Acer; Aesculus; AGE; Alnus; Alternanthera; Anabaena; Anthoceros; Apiaceae; Artemisia; Asteroideae; Astragalus; Azolla/Salvinia; Betula; Boraginaceae; Botrychium; Botryococcus braunii; Brassicaceae; Buxus; Calligonum; Calluna; Campanulaceae; Cannabaceae; Carpinus betulus; Carpinus orientalis; Caryophyllaceae; Caspian Sea; Castanea; Cedrus; Centaurea; Ceratophyllum; Cerealia-type; Chenopodiaceae/Amaranthaceae; Cichorioideae; Concentricystes circulus; Convolvulaceae; Cornus; Corylus; Counting, palynology; Crassulaceae; Cyperaceae; Cystopteris; Debarya; DEPTH, sediment/rock; Dipsacaceae; Dryopteris filix-mas; Echium; Elaeagnus; Ephedra alata-type; Ephedra major-type; Ephedra undifferentiated; Eremurus; Ericaceae; Euphorbiaceae; Fabaceae; Fagus; Filipendula; Fraxinus excelsior; Gentianaceae; Gloeotrichia; GS18; Haplophyllum; Helianthemum; Heliotropium; Hippophae; Ilex; Incertae sedis; Indeterminable: undifferentiated; Indeterminable: unknown; Jasminum; Juglans; Juniperus; KULC; KULLENBERG corer; Lamiaceae; Liliaceae; Lilium; Liquidambar; Littorella; Lotus; Lycopodium clavatum; Melampyrum; Monolete non-psilate; Monolete psilate; Myrica; Myriophyllum alterniflorum; Myriophyllum verticillatum; Nitraria; Olea; Oleaceae; Orchidaceae; Parrotia persica; Pediastrum boryanum; Pediastrum simplex; Picea; Pinaceae; Pinus; Pinus haplostellate; Pistacia; Plantago; Plumbaginaceae; Poaceae; Pollen; Pollen, reworked; Polygonum aviculare; Polygonum bistorta-type; Polygonum undifferentiated; Potamogeton; Potentilla-type; Primulaceae; Pteridium aquilinum; Pteris; Pterocarya; Pterosperma; Quercus, deciduous; Quercus sempervirens; Radiosperma; Ranunculaceae; Ranunculus acris-type; Rhamnaceae; Riccia; Rosaceae; Rubiaceae; Rumex; Ruppia; Salix; Salvinia/Azolla massulae; Sanguisorba minor; Sanguisorba officinalis; Saxifraga; Scenedesmus; Scrophulariaceae; Secale; Selaginella selaginoides; Sphagnum; Spirogyra; Tamarix; Taxus; Tetraedron; Thalictrum; Thelypteris palustris; Tilia; Trilete non-psilate; Trilete psilate; Typha/Sparganium; Typha latifolia-type; Ulmus/Zelkova; Umbilicus; Urticaceae/Moraceae; Valerianaceae; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 16530 data points
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  • 64
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    Pollen profile CP18, Caspian Sea (2018)
    PANGAEA
    In:  European Pollen Database (EPD)
    Details
    Publication Date: 2024-06-14
    Keywords: Abies; Acer; Alnus; Artemisia; Asteroideae; Batrachium; Betula; Botrychium; Buxus; Calligonum; Calystegia; Campanulaceae; Carpinus betulus; Caryophyllaceae; Caspian Sea CP 18; Celtis; Centaurea; Cerealia; Chenopodiaceae/Amaranthaceae; Chrozophora; Cichorioideae; Corylus; Counting, palynology; CP18; Cruciferae; Cupressaceae; Cyperaceae; DEPTH, sediment/rock; Dryopteris filix-mas; Echium; Emex; EPD; Ephedra alata-type; Ephedra major-type; Equisetum; Ericaceae; Euphorbia; Fagus; Filipendula; Fraxinus; Gramineae; Hippophae; Ilex; Indeterminable: undifferentiated; Indeterminable: unknown; Juglans; KULC; KULLENBERG corer; Labiatae; Labiatae (6); Ligustrum; Liliaceae; Littorella; Mercurialis; Monolete non-psilate; Monolete psilate; Myriophyllum verticillatum; Nymphaea; Nymphoides peltata; Parrotia persica; Picea; Pinaceae; Pinus; Pistacia; Plantago; Plantago lanceolata; Plantago major-type; Plumbaginaceae; Pollen; Pollen, reworked; Polygonum bistorta-type; Polygonum persicaria-type; Polygonum undifferentiated; Polypodium vulgare; Potamogeton; Pteridium aquilinum; Pterocarya; Quercus; Quercus sempervirens; Ranunculaceae; Riccia; Rubiaceae; Rumex; Rumex acetosa; Rumex acetosella; Salix; Sanguisorba minor; Sphagnum; Tamarix; Thalictrum; Thelypteris palustris; Thymelaeaceae; Tilia; Trilete non-psilate; Trilete psilate; Typha/Sparganium; Typha latifolia-type; Ulmus/Zelkova; Umbelliferae; Urticaceae/Moraceae; Valerianaceae; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 3420 data points
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  • 65
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    Surface Drifter Data of the Equatorial Atlantic: Positions of Lagrangian Hereon Drifters deployed in the Equatorial Atlantic during METEOR Cruise M181 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: During the Transatlantic Equatorial Cruise II (TRATLEQ II) with the R/V METEOR (M181) from 17. April to 28. May 2022 (Brandt, 2022), 44 Lagrangian drifters were deployed along the Equator (between 7°W and 37°W) to monitor the surface flow in the upper meter. The equatorial section covered the region of the Atlantic cold tongue that seasonally develops during boreal summer east of 23°W and the western equatorial Atlantic characterized by warmer surface waters and deeper mixed layer depths. In particular, the cruise M181 took place during the warm phase with relatively homogeneous warm surface layer in the whole equatorial Atlantic. Drifters were deployed every 1° longitude (~111 km) between 7°W and 37°W. The drifters were designed and built at Helmholtz-Zentrum Hereon to follow the upper surface flow (approx. 50 cm). The main body of these Hereon drifters consists of a 7.5 cm x 20 cm long tube with a floatation ring at the top. It is attached to a drogue of 35 cm in both length and diameter through a flexible cord within a distance of 20 cm to the tube. When deployed about 5 cm of the tube protrude from the water surface, resulting in a ratio of drag area inside to drag area outside the water of 21. The tube contains a battery pack and an electronic board, which acquires and reports the GPS position every 5 minutes via a global satellite network in near real time. Table 1 provides some information on the 44 deployed Hereon Drifters, which consists of deployment and working time, total covered distance and number of recorded GPS positions.
    Keywords: MOPGA-TAD; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Tropical Atlantic Deoxygenation: gateway dynamics, feedback mechanisms and ecosystem impacts
    Type: Dataset
    Format: application/zip, 44 datasets
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  • 66
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    Pollen profile DS7, Dead Sea (2018)
    PANGAEA
    In:  European Pollen Database (EPD)
    Details
    Publication Date: 2024-06-14
    Keywords: Acacia; AGE; Alisma; Alnus; Apiaceae; Artemisia; Asphodelus; Asteroideae; Betula; Blepharisma; Boraginaceae; Brassicaceae; Calicotome villosa; Calligonum; Cannabaceae/Urticaceae; Cannabis; Carpinus betulus; Carpinus orientalis; Carya; Caryophyllaceae; Castanea; Casuarina; Casuarina/Corylus; Cedrus; Celtis; Centaurea; Centaurea collina-type; Centaurea cyanus; Centaurea jacea-type; Centaurea scabiosa; Ceratonia; Cerealia; Chenopodiaceae/Amaranthaceae; Chrozophora; Cichorioideae; Cistaceae; Cistus; Combretaceae; Convolvulaceae; Corylus; Counting, palynology; Cupressaceae; Cynoglossum officinale-type; Cyperaceae; Dead Sea 7; DEPTH, sediment/rock; Dipsacaceae; DRILL; Drilling/drill rig; DS7; Echinops-type; Echium; Emex spinosa; EPD; Ephedra distachya-type; Ephedra fragilis-type; Ericaceae; Erodium; Euphorbia; Euphorbiaceae; Fabaceae; Fagus; Fraxinus; Fraxinus excelsior; Fraxinus ornus; Geranium; Haplophyllum; Helianthemum; Hepatophyta; Indeterminable: undifferentiated; Indeterminable: unknown; Isoetes; Juglans; Lamiaceae; Liliaceae; Lycopodium; Lygeum; Malvaceae; Mercurialis annua-type; Monolete non-psilate; Monolete psilate; Myrtaceae; Nitraria; Olea; Oleaceae; Ornithogalum-type; Phillyrea; Phlomis; Picea; Pinus; Pistacia; Plantago; Plumbaginaceae; Poaceae; Pollen; Pollen, reworked; Polygonum bistorta-type; Populus; Potamogeton; Prosopis; Quercus boissieri-type; Quercus calliprinos; Ranunculaceae; Ranunculus acris-type; Rhamnaceae; Rhus; Riccia; Ricinus; Rosaceae; Rubiaceae; Rumex; Salix; Sarcopoterium; Scabiosa; Scabiosa argentea-type; Sphagnum; Styrax; Succisa; Tamarix; Teucrium; Thalictrum; Theligonum cynocrambe; Thymelaeaceae; Trilete non-psilate; Trilete psilate; Typha/Sparganium; Ulmus/Zelkova; Urticaceae; Vitis; Zygophyllum
    Type: Dataset
    Format: text/tab-separated-values, 6832 data points
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  • 67
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    Pollen profile CP21, Caspian Sea (2018)
    PANGAEA
    In:  European Pollen Database (EPD)
    Details
    Publication Date: 2024-06-14
    Keywords: Abies; Acer; Alnus; Armeria; Artemisia; Asteroideae; Astragalus; Azolla; Betula; Botrychium; Buxus; Calligonum; Calluna; Carpinus betulus; Carpinus orientalis; Carya; Caryophyllaceae; Caspian Sea CP 21; Castanea; Centaurea; Centaurea cyanus; Centaurea jacea; Centaurea montana; Cerealia; Chenopodiaceae/Amaranthaceae; Chrozophora; Cichorioideae; Cistus; Convolvulaceae; Corylus; Counting, palynology; CP21; Cruciferae; Cupressaceae; Cyperaceae; DEPTH, sediment/rock; Dryopteris filix-mas; Elaeagnus; EPD; Ephedra alata-type; Ephedra major-type; Ephedra undifferentiated; Equisetum; Eremurus; Ericaceae; Euphorbia; Fagus; Filipendula; Fraxinus; Gramineae; Haplophyllum; Hippophae; Indeterminable: undifferentiated; Indeterminable: unknown; Isoetes; Juglans; Juniperus; KULC; KULLENBERG corer; Labiatae; Liliaceae; Littorella; Lygeum; Mercurialis; Monolete non-psilate; Monolete psilate; Myrica; Myriophyllum alterniflorum; Myriophyllum verticillatum; Nymphaea; Olea; Osmunda; Papilionaceae; Parrotia persica-type; Picea; Pinaceae; Pinus; Pistacia; Plantago; Plantago intermedia; Plantago lanceolata; Plantago major-type; Plantago media-type; Plumbaginaceae; Pollen; Pollen, reworked; Polygonum bistorta-type; Polygonum undifferentiated; Polypodium vulgare; Potamogeton; Pteridium aquilinum; Pterocarya; Quercus, deciduous; Quercus sempervirens; Ranunculaceae; Ranunculus acris-type; Rhus; Riccia; Rosaceae; Rubiaceae; Rumex; Rumex acetosella; Salix; Sanguisorba minor; Secale; Sphagnum; Tamarix; Thalictrum; Thelypteris palustris; Tilia; Trilete non-psilate; Trilete psilate; Tsuga; Typha/Sparganium; Typha latifolia-type; Ulmus/Zelkova; Umbelliferae; Urticaceae/Moraceae; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 4144 data points
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  • 68
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    Pollen profile KBG801, Kara-Bogaz Gol, Turkmenistan (2018)
    PANGAEA
    In:  European Pollen Database (EPD)
    Details
    Publication Date: 2024-06-14
    Keywords: Acer; AGE; Alnus; Artemisia; Asteroideae; Batrachium; Betula; Buxus; Calligonum; Cannabis; Carpinus betulus; Caryophyllaceae; Cedrus; Centaurea; Centaurea cyanus; Cerealia; Chenopodiaceae/Amaranthaceae; Cichorioideae; Corylus; Counting, palynology; Cruciferae; Cupressaceae; Cyperaceae; DEPTH, sediment/rock; Echinops; Elaeagnus; EPD; Ephedra distachya-type; Ephedra fragilis-type; Euphorbia; Fagus; Filipendula; Fraxinus excelsior; Fraxinus ornus; Gramineae; Haplophyllum; Hedera; Indeterminable: undifferentiated; Indeterminable: unknown; Isoetes; Juglans; Kara-Bogaz Gol; KBG801; Mahonia; Mercurialis; Monolete psilate; Myrtus; Nitraria; Olea; Papilionaceae; Parrotia persica; PC; Picea; Pinaceae; Pinus; Pinus haplostellate; Pistacia; Piston corer; Plantago lanceolata; Plantago undifferentiated; Platanus; Plumbaginaceae; Pollen; Pollen, reworked; Polygonaceae; Polygonum aviculare; Polygonum romanum-type; Prosopis; Pterocarya; Quercus; Quercus sempervirens; Ranunculaceae; Rosaceae; Rubiaceae; Rumex acetosella; Rumex undifferentiated; Salix; Sanguisorba minor; Sanguisorba officinalis; Sphagnum; Tamarix; Taxus; Thalictrum; Trilete psilate; Typha/Sparganium; Ulmus/Zelkova; Umbelliferae; Urticaceae/Moraceae; Vitis; Zea mays; Zygophyllum
    Type: Dataset
    Format: text/tab-separated-values, 1428 data points
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  • 69
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    Pollen profile ZL11, Zibakenar Lagoon, Iran (2018)
    PANGAEA
    In:  European Pollen Database (EPD)
    Details
    Publication Date: 2024-06-14
    Keywords: Acer; Alnus; Alternanthera; Amaranthaceae; Anthoceros; Apiaceae; Armeria; Artemisia; Asteroideae; Azolla/Salvinia; Betula; Brassicaceae; Calligonum; Carpinus betulus-type; Caryophyllaceae; Centaurea; Ceratonia; Ceratophyllum: spines; Cerealia-type; Cichorioideae; Cladium; Corylus; Counting, palynology; Cyperaceae; DEPTH, sediment/rock; Diospyros; Dipsacaceae; Echium; Elaeagnus; EPD; Ephedra alata-type; Ephedra major-type; Eremurus; Eucalyptus; Euphorbia; Fabaceae; Fagus; Fraxinus; GC; Geum; Gravity corer; Hippophae rhamnoides; Ilex; Indeterminable: undifferentiated; Indeterminable: unknown; Juglans; Juniperus; Lamiaceae; Ligustrum; Liliaceae; Lythrum; Menyanthes; Monolete non-psilate; Monolete psilate; Myriophyllum spicatum; Nymphaea alba; Olea; Parrotia persica; Phyteuma; Picea; Pinus; Pistacia; Plantaginaceae; Plantago lanceolata-type; Plantago major-type; Platanus; Poaceae; Pollen, reworked; Polygonum aviculare/P. bistorta-type; Polygonum persicaria; Populus; Potamogeton; Pteridium aquilinum; Pteris; Pterocarya; Pteropyrum; Quercus, deciduous; Quercus sempervirens-type; Ranunculaceae; Ranunculus acris-type; Rhus; Riccia; Rosaceae; Rubiaceae; Rumex; Salix; Salvinia/Azolla massulae; Sambucus; Sanguisorba minor; Secale-type; Tamarix; Taxus; Thalictrum; Thelypteris palustris; Thymelaeaceae; Tilia; Trilete psilate; Typha/Sparganium; Typha latifolia-type; Ulmus/Zelkova; Urticaceae/Moraceae; Valerianaceae; Vitis; Zibakenar Lagoon; ZL11
    Type: Dataset
    Format: text/tab-separated-values, 1584 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 70
    facet.materialart.
    Unknown
    Pollen profile LL13, Langarud, Iran (2018)
    PANGAEA
    In:  European Pollen Database (EPD)
    Details
    Publication Date: 2024-06-14
    Keywords: Acer; AGE; Alnus; Alternanthera; Amaranthaceae; Anthoceros; Apiaceae; Artemisia; Asteroideae; Azolla/Salvinia; Betula; Brassicaceae; Buxus; Calligonum; Campanula; Carpinus betulus; Caryophyllaceae; Centaurea; Centaurea nigra-type; Cerealia-type; Chrozophora tinctoria; Cichorioideae; Citrus; Convolvulus; Corylus; Counting, palynology; Cousinia; Cyperaceae; DEPTH, sediment/rock; Dipsacaceae; Echinops; EPD; Ephedra distachya-type; Ephedra fragilis-type; Epilobium; Eremurus; Fabaceae; Fagus; Filipendula; Fraxinus; Hedera; Hippophae rhamnoides; Ilex; Indeterminable: undifferentiated; Indeterminable: unknown; Juglans; Juniperus; Knautia; Lamiaceae; Langarud; Ligustrum; Liliaceae; Littorella; LL13; Lythrum hyssopifolia; Monolete non-psilate; Monolete psilate; Myriophyllum verticillatum; Nymphaea; Nymphoides peltata; Oenotheraceae; Olea; Ophioglossum; Parrotia persica; PCOR; Percussion corer; Pinus; Pistacia; Plantaginaceae; Platanus; Poaceae; Pollen, reworked; Polygonum aviculare-type; Polygonum persicaria-type; Polypodium vulgare; Potamogeton; Potentilla-type; Pteridium aquilinum; Pteris; Pterocarya; Quercus, deciduous; Quercus sempervirens-type; Ranunculaceae; Ranunculus acris-type; Rhamnus; Riccia; Rosaceae; Rubiaceae; Rumex; Salix; Sanguisorba minor; Secale; Stellaria; Thalictrum; Theligonum; Thelypteris palustris; Trilete psilate; Typha/Sparganium; Typha latifolia-type; Ulmus/Zelkova; Urticaceae/Moraceae; Valerianaceae; Viburnum; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 1440 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 71
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    Unknown
    Pollen profile ML9811, Lake Manyas, Turkey (2018)
    PANGAEA
    In:  European Pollen Database (EPD)
    Details
    Publication Date: 2024-06-14
    Keywords: Abies; AGE; Alnus; Artemisia; Batrachium; Betula; Boraginaceae; Calluna; Carpinus betulus-type; Carpinus orientalis; Caryophyllaceae; Castanea; Centaurea; Cerealia; Chenopodiaceae/Amaranthaceae; Cistus; Corylus; Counting, palynology; Cruciferae; Cupressaceae; Cyperaceae; DEPTH, sediment/rock; Dryopteris filix-mas; EPD; Ephedra fragilis-type; Ericaceae; Fagus; Filipendula; Fraxinus excelsior-type; Gramineae; Haplophyllum; Hedera; Indeterminable: undifferentiated; Indeterminable: unknown; Isoetes; Juglans; Knautia; Labiatae; Lake Manyas; Liguliflorae; Ligustrum; Liliaceae; LIVC; Livingstone corer; Melampyrum; Mercurialis; ML9811; Monolete psilate; Myriophyllum alterniflorum; Myriophyllum verticillatum; Nymphaea; Olea; Papilionaceae; Phillyrea; Picea; Pinus; Pistacia; Plantago; Plantago lanceolata; Plantago major; Platanus; Pollen; Pollen, reworked; Polygonum bistorta-type; Polygonum undifferentiated; Populus; Potamogeton; Pteridium aquilinum-type; Pterocarya; Quercus, deciduous; Quercus sempervirens; Ranunculaceae; Rhamnus; Rosaceae; Rubiaceae; Rumex acetosella; Rumex undifferentiated; Salix; Sambucus; Sanguisorba minor; Tamarix; Thalictrum; Thymelaeaceae; Tilia; Trifolium; Trilete non-psilate; Trilete psilate; Tubuliflorae; Typha/Sparganium; Ulmus/Zelkova; Umbelliferae; Urticaceae; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 850 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 72
    facet.materialart.
    Unknown
    Pollen profile NISIB, Nisi Fen, Greece (2018)
    PANGAEA
    In:  European Pollen Database (EPD)
    Details
    Publication Date: 2024-06-14
    Keywords: Abies; Acer campestre-type; AGE; Alnus; Androsace; Artemisia; Asteroideae; Betula; Buxus; Caltha-type; Cannabis sativa-type; Carex; Carpinus betulus; Caryophyllaceae; Centaurea undifferentiated; Cerealia; Chenopodiaceae; Chrysosplenium-type; Cichorioideae; Cirsium; Cladium; Cornus suecica-type; Corylus avellana-type; Counting, palynology; Crassulaceae; Cruciferae; Cyperaceae undifferentiated; DEPTH, sediment/rock; Digitalis-type; EPD; Ephedra distachya-type; Ephedra fragilis-type; Ericaceae; Fagus; Filipendula; Frangula; Fraxinus excelsior-type; Fraxinus ornus; Gentianaceae undifferentiated; Gentianella campestris-type; Gramineae undifferentiated; Hedera; Helianthemum; Indeterminable: broken; Indeterminable: concealed; Indeterminable: corroded; Indeterminable: crumpled; Indeterminable: degraded; Juglans; Juniperus; Labiatae; Liliaceae undifferentiated; Livingstone piston corer; Lonicera; LPC; Lythrum portula; Lythrum salicaria-type; Mentha-type; Monolete spore(s); Myricaria germanica; Myriophyllum alterniflorum; Myriophyllum spicatum; Myriophyllum undifferentiated; Myriophyllum verticillatum; NISIB; Nisi Fen; Nuphar; Nymphaea; Olea; Ostrya-type; Oxyria-type; Pediastrum; Pedicularis; Phillyrea; Pinus; Pistacia; Plantago coronopus-type; Plantago lanceolata-type; Plantago undifferentiated; Platanus; Pollen, reworked; Polygala; Populus; Potamogeton subgen. Potamogeton; Potamogeton undifferentiated; Quercus, deciduous; Quercus evergreen; Ranunculus-type; Reseda lutea-type; Rhamnus; Rosaceae; Rubiaceae; Rumex undifferentiated; Salix; Sambucus nigra; Sample volume; Sanguisorba minor-type; Scrophularia-type; Solanum dulcamara; Sparganium; Spores, trilete undifferentiated; Tamarix; Thalictrum; Tilia cordata-type; Typha latifolia-type; Ulmus; Umbelliferae; Urtica pilulifera; Urtica undifferentiated; Urtica urens; Veronica-type; Viburnum; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 6090 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 73
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    Unknown
    Pollen profile PLES, Ples, Russia (2018)
    PANGAEA
    In:  European Pollen Database (EPD)
    Details
    Publication Date: 2024-06-14
    Keywords: Abies; Acer; Algae; Alisma plantago-aquatica; Alnus glutinosa; Alnus incana; Alnus viridis subsp. fruticosa; Apiaceae; Aquatics; Artemisia; Asteraceae; Betula alba; Betula humilis; Betula nana; Boraginaceae; Botrychium; Botryococcus; Brassicaceae; Bryales; Bupleurum; Caldesia; Campanulaceae; Cannabis; Carpinus betulus; Caryophyllaceae; Centaurea; Centaurium; Ceratophyllum; Chenopodiaceae; Chrysosplenium; Cichoriaceae; Convolvulaceae; Cornus cf. sanguinea; Corylus; Counting, palynology; Crassulaceae; Cyperaceae; Cystopteris sudetica; DEPTH, sediment/rock; Diphasiastrum tristachyum; Dipsacaceae; Drosera; Dryas; Echinops; Encalypta; EPD; Ephedra; Equisetum; Ericales; Euphorbia; Fabaceae; Filipendula ulmaria; Frangula alnus; Fraxinus excelsior; Gentianaceae; Geraniaceae; Helianthemum; Hepatica; Humulus lupulus; Hypericum; Iridaceae; Juniperus; Krascheninnikovia ceratoides; Lamiaceae; Larix; Lemna; Liliaceae; Linum; Lonicera; Lycopodium annotinum; Lycopodium clavatum; Lycopodium complanatum; Lycopodium selago; Lysimachia; Lythrum salicaria; Marker; Menyanthes trifoliata; Mercurialis; Myriophyllum; Nuphar; Nymphaea alba; Nymphaea candida; Onagraceae; Ophioglossum vulgatum; Osmunda cinnamomea; Pediastrum; Pedicularis; Picea; Pinus sibirica; Pinus sylvestris; Plantago lanceolata; Plantago undifferentiated; Ples; PLES; Plumbaginaceae; Poaceae; Polemonium; Pollen, redeposited; Pollen, reworked; Polygonaceae; Polygonum amphibium; Polygonum bistorta; Polypodiaceae; Potamogeton; Primulaceae; Pteridium aquilinum; Quercus; Ranunculaceae; Ribes; Riccia; Rosaceae; Rosaceae subf. Maloideae; Rubiaceae; Rubus chamaemorus; Rumex; Sagittaria; Salix; Sambucus; Sanguisorba; Saxifraga; Scabiosa; Scrophulariaceae; Selaginella selaginoides; Sparganium; Sphagnum; Spores; Stratiotes aloides; Thalictrum; Tilia cordata; Tilia platyphyllos; Typha latifolia; Ulmus; Urtica; Utricularia; Valeriana; Veronica; Viburnum
    Type: Dataset
    Format: text/tab-separated-values, 12144 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 74
    facet.materialart.
    Unknown
    Pollen profile SA71, Lake Sapanca, Turkey (2018)
    PANGAEA
    In:  European Pollen Database (EPD)
    Details
    Publication Date: 2024-06-14
    Keywords: Abies; Acer; Ailanthus; Alnus; Anagallis-type; Anthoceros; Apiaceae; Artemisia; Asplenium; Asteroideae; Betula; Boraginaceae; Brassicaceae; Buxus; Calligonum; Campanula; Cannabaceae; Carpinus betulus-type; Carpinus orientalis/Ostrya; Caryophyllaceae; Castanea; Cathaya-type; Cedrus; Celtis; Centaurea cyanus; Centaurea jacea; Chenopodiaceae/Amaranthaceae; Cichorioideae; Cistus; Cladium; Convolvulus; Cornus sanguinea; Corylus; Counting, palynology; Cupressaceae; Cyperaceae; Daphne; DEPTH, sediment/rock; Dryopteris filix-mas; Echium; Emex; EPD; Ephedra distachya; Ephedra fragilis; Equisetum; Ericaceae; Euphorbia; Fabaceae; Fagus; Filipendula; Fraxinus excelsior-type; Fraxinus ornus; GC; Gravity corer; Hedera; Hippophae; Humulus; Ilex; Indeterminable: undifferentiated; Indeterminable: unknown; Isoetes; Juglans; Knautia; Lake Sapanca; Lamiaceae; Lamium; Ligustrum; Liliaceae; Lythrum; Menyanthes; Mercurialis annua; Monolete non-psilate; Monolete psilate; Myrica; Myriophyllum alterniflorum; Myriophyllum verticillatum; Olea; Oleaceae; Ophioglossum; Parthenocissus; Phacelia; Phillyrea; Picea; Pinus; Pinus haploxylon; Pistacia; Plantago; Plantago lanceolata; Plantago major; Plantago media; Plantago sempervirens; Platanus; Poaceae; Polemonium; Pollen; Pollen, reworked; Polygonum aviculare/P. bistorta-type; Polygonum persicaria; Polypodium vulgare; Populus; Potamogeton; Potentilla; Pteridium aquilinum-type; Pterocarya; Quercus, deciduous; Quercus sempervirens; Ranunculaceae; Ranunculus acris-type; Rhamnus; Rhododendron; Rhus; Riccia; Rosaceae; Rubiaceae; Rumex acetosa; Rumex acetosella; Rumex undifferentiated; SA71; Sagina; Salix; Sambucus racemosa; Sanguisorba minor; Sanguisorba officinalis; Scabiosa; Scleranthus; Secale; Silene; Solanum; Sphagnum; Stellaria; Succisa; Symphytum; Tamarix; Taxus; Thalictrum; Thelypteris palustris; Tilia; Trifolium; Trilete non-psilate; Trilete psilate; Typha/Sparganium; Typha (tetrad); Ulmus/Zelkova; Urticaceae/Moraceae; Viburnum; Vitis; Zea mays
    Type: Dataset
    Format: text/tab-separated-values, 9729 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 75
    facet.materialart.
    Unknown
    Pollen profile SAR26, Lake Sapanca, Turkey (2018)
    PANGAEA
    In:  European Pollen Database (EPD)
    Details
    Publication Date: 2024-06-14
    Keywords: Abies; Acer; AGE; Alisma; Alnus; Anthoceros; Apiaceae; Artemisia; Asplenium; Asteroideae; Betula; Boraginaceae; Brassicaceae; Buxus; Calligonum; Calystegia; Cannabis; Carpinus betulus-type; Carpinus orientalis/Ostrya; Caryophyllaceae; Castanea; Cedrus; Celtis; Centaurea cyanus; Centaurea jacea; Chenopodiaceae/Amaranthaceae; Chrozophora; Cichorioideae; Cistus; Cladium; Corylus; Counting, palynology; Cupressaceae; Cyperaceae; DEPTH, sediment/rock; Dryopteris filix-mas; Elaeagnus; EPD; Ephedra fragilis-type; Equisetum; Ericaceae; Euphorbia; Fabaceae; Fagus; Filipendula; Fraxinus excelsior-type; Fraxinus ornus; Geranium; Hedera; Helianthemum; Hippophae; Ilex; Indeterminable: undifferentiated; Indeterminable: unknown; Juglans; Knautia; Lake Sapanca; Lamiaceae; Liliaceae; Littorella; Loranthus; Lycopodium; Lythrum; Melampyrum; Mercurialis annua; Monolete non-psilate; Monolete psilate; Myrica; Myriophyllum verticillatum; Nymphaea; Olea; PCOR; Percussion corer; Phacelia; Picea; Pinaceae; Pinguicula; Pinus; Pistacia; Plantago; Plantago lanceolata; Plantago major; Platanus; Poaceae; Pollen; Pollen, reworked; Polygonum aviculare/P. bistorta; Polygonum undifferentiated; Polypodium vulgare; Potamogeton; Pteridium aquilinum-type; Pterocarya; Quercus, deciduous; Quercus sempervirens; Ranunculaceae; Ranunculus acris-type; Rhododendron; Riccia; Rosaceae; Rubiaceae; Rumex acetosa; Rumex acetosella; Rumex undifferentiated; Sagina; Salix; Sambucus; Sanguisorba minor; SAR26; Secale; Silene; Taxus; Thalictrum; Thelypteris palustris; Tilia; Trilete non-psilate; Trilete psilate; Typha/Sparganium; Typha (tetrad); Ulmus/Zelkova; Urticaceae/Moraceae; Valerianella; Viburnum; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 4408 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 76
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    Unknown
    Pollen profile of sediment core NO2, Nogaret maar, France (2018)
    PANGAEA
    In:  European Pollen Database (EPD)
    Details
    Publication Date: 2024-06-14
    Keywords: Abies; Acer; Alnus; Araliaceae; Artemisia; Betula; Buxus; Carpinus; Carya; Caryophyllaceae; Castanea-type; Cedrus; Celtis; Centaurea; Centaurea jacea-type; Centaurea scabiosa-type; cf. Cathaya; cf. Gentianaceae; Chenopodiaceae/Amaranthaceae; Cistus; Corylus; Counting, palynology; Cruciferae; Cupressaceae; Cyperaceae; DEPTH, sediment/rock; Elaeagnus; Engelhardtia; EPD; Ephedra; Ericaceae; Erodium; Eucommia; Fagus; France; Fraxinus; Galium; Gramineae; Hedera; Helianthemum; Hippophae rhamnoides-type; Ilex; Indeterminable: undifferentiated; Indeterminable: unknown; Juglans; Knautia; Labiatae; Liguliflorae; Liquidambar; Lonicera; Loranthaceae; Lycopodium; Lycopodium cf. annotinum; Malvaceae; Monolete non-psilate; Monolete psilate; Moraceae; NO2_EPD; Nogaret maar; Nymphaea; Oenotheraceae; Oleaceae; Osmunda; Papilionaceae; Parrotia cf. persica; Parthenocissus; Passifloraceae; Picea; Pinaceae undifferentiated; Pinus haplostellate-type; Plantago; Pollen, reworked; Polygonaceae; Polygonum persicaria-type; Polypodium cf. vulgare; Populus; Potamogeton; Pteris; Pterocarya; Quercus, deciduous; Quercus ilex/Q. coccifera-type; Ranunculaceae; Riccia; Rosaceae; Rumex; Salix; Sanguisorba cf. minor; Scabiosa; Sphagnum; Thalictrum; Thelypteris palustris; Tilia; Trilete non-psilate; Trilete psilate; Tsuga; Tubuliflorae; Typha/Sparganium; Typha cf. latifolia; Ulmus/Zelkova; Umbelliferae; Urticaceae; Valerianaceae; Verbena-type; Viscum; Vitis
    Type: Dataset
    Format: text/tab-separated-values, 4653 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 77
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    Unknown
    Pollen profile of sediment core BO4, Lake Banyoles, Spain (2018)
    PANGAEA
    In:  European Pollen Database (EPD)
    Details
    Publication Date: 2024-06-14
    Keywords: Abies; Acer; Alnus; Anthoceros; Araliaceae; Artemisia; Asphodelus; Batrachium; Betula; BO4_EPD; Boraginaceae; Buxus; Calluna; Calystegia; Cannabaceae; Carpinus; Carya; Caryophyllaceae; Castanea-type; Cathaya-type; Celtis; Centaurea; Centaurea jacea-type; Centaurea scabiosa-type; cf. Gentianaceae; cf. Lycopodium; cf. Rhododendron; cf. Trifolium; Chenopodiaceae/Amaranthaceae; Cistus; Cladium cf. mariscus; Concentration spikes; Concentricystes; Convolvulus; Coriaria; Corylus; Counting, palynology; Crassulaceae; Cruciferae; Cupressaceae; Cyperaceae; DEPTH, sediment/rock; Dinoflagellata: cysts indeterminata; Dipsacaceae; DRILL; Drilling/drill rig; Dryopteris; Elaeagnus; Engelhardtia; EPD; Ephedra; Ericaceae; Erodium; Eucommia; Euphorbia; Fagus; Filipendula; Fraxinus; Galium; Geranium; Gramineae; Hedera; Helianthemum; Hippophae cf. rhamnoides; Ilex; Indeterminable: undifferentiated; Indeterminable: unknown; Juglans; Knautia; Labiatae; Lake Banyoles; Liguliflorae; Ligustrum; Liliaceae; Linum; Liquidambar; Lonicera; Lycopodium clavatum-type; Lygeum; Lythrum; Malvaceae; Monocotyledones; Monolete non-psilate; Monolete psilate; Mougeotia; Myrica; Myriophyllum; Myrtus; Nymphaea; Oenotheraceae; Olea; Oleaceae; Onagraceae; Osmunda; Pachysandra/Sarcococca; Papaveraceae; Papilionaceae; Parrotia cf. persica; Parthenocissus; Phillyrea; Picea; Pinaceae undifferentiated; Pinus haploxylon-type; Plantago; Platanus; Plumbaginaceae; Pollen, reworked; Polygonum; Polygonum persicaria-type; Polypodium cf. vulgare; Populus; Potamogeton; Potentilla; Pteridium aquilinum; Pteris; Pterocarya; Quercus; Ranunculaceae; Rosaceae; Rumex; Salix; Sambucus; Sample code/label; Sanguisorba cf. minor; Scabiosa; Sciadopitys; Selaginella; Selaginella cf. selaginoides; Selaginella cf. sibirica; Spain; Spirogyra; Succisa; Symplocos; Tamarix; Taxodium-type; Taxus; Thalictrum; Thelypteris cf. palustris; Tilia; Trilete non-psilate; Trilete psilate; Tsuga; Tubuliflorae; Typha/Sparganium; Typha latifolia-type; Ulmus/Zelkova; Umbelliferae; Urticaceae; Valerianaceae; Vigna-type; Viscum; Viscum cf. album; Vitis; Zygnema
    Type: Dataset
    Format: text/tab-separated-values, 25550 data points
    Location Call Number Expected Availability
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  • 78
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    Unknown
    Wind stress-induced multiyear predictability of annual extratropical North Atlantic sea surface temperature anomalies (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: Long-term predictability of the North Atlantic sea surface temperature (SST) is commonly attributed to buoyancy-forced changes of the Atlantic Meridional Overturning Circulation. Here we investigate the role of surface wind stress forcing in decadal hindcasts as another source of extratropical North Atlantic SST predictability. For this purpose, a global climate model is forced by reanalysis (ERA-interim) wind stress anomalies over the period 1979-2017. The simulated climate states serve as initial conditions for decadal hindcasts. Significant skill in predicting detrended observed annual SST anomalies is observed over the extratropical central North Atlantic with anomaly correlation coefficients exceeding 0.6 at lead times of 4 to 7 years. The skill is insensitive to the calendar month of initialization and linked to upper-ocean heat content anomalies that lead anomalous SSTs by several years.
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); Description
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
    Location Call Number Expected Availability
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  • 79
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    Unknown
    Stable isotope data of mesozooplankton for depth layers along the Malaspina-2010 expedition (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: Carbon export (from the epipelagic towards the mesopelagic zone) and sequestration (from the mesopelagic towards the bathypelagic zone) in the ocean are reviewed. Particulate organic carbon (POC) flux, and active flux due to migrant zooplankton and micronekton are shown from the epipelagic to the mesopelagic zone, and from the latter to the bathypelagic zone. Values towards the meso- and bathypelagic zones are compared in oligotrophic and productive systems. Zooplankton and prokaryote respiration in the meso- and bathypelagic zones of the ocean are also reviewed for oligotrophic and productive systems. Values were integrated over a depth layer and are given as the flux or respiration under one square meter (in g/m**2/a) between e.g. 100 m and 1000 m depth.
    Keywords: 29HE20101215; 29HE20110117; 29HE20110211; 29HE20110317; 29HE20110416; 29HE20110513; bathypelagic; Carbon/Nitrogen ratio; DATE/TIME; DEPTH, water; epipelagic; Event label; Hespérides; Latitude of event; Longitude of event; MALASPINA_LEG1; MALASPINA_LEG1_005-1; MALASPINA_LEG1_010-1; MALASPINA_LEG1_013-1; MALASPINA_LEG1_015-1; MALASPINA_LEG1_017-1; MALASPINA_LEG2; MALASPINA_LEG2_035-1; MALASPINA_LEG2_043-1; MALASPINA_LEG3; MALASPINA_LEG3_045-1; MALASPINA_LEG3_049-1; MALASPINA_LEG3_064-1; MALASPINA_LEG3_066-1; MALASPINA_LEG4; MALASPINA_LEG4_069-1; MALASPINA_LEG4_071-1; MALASPINA_LEG4_076-1; MALASPINA_LEG4_077-1; MALASPINA_LEG5; MALASPINA_LEG5_084-1; MALASPINA_LEG5_086-1; MALASPINA_LEG5_092-1; MALASPINA_LEG5_096-1; MALASPINA_LEG5_100-1; MALASPINA_LEG6; MALASPINA_LEG6_103-1; MALASPINA_LEG6_117-1; MALASPINA_LEG6_119-1; MALASPINA-2010; Malaspina circumnavigation expedition; mesopelagic; MH007_005; MH012_010; MH015_013; MH017_015; MH019_017; MH044_035; MH052_043; MH061_045; MH065_049; MH086_066; MH095_069; MH097_071; MH102_076; MH103_077; MH128_084; MH130_086; MH136_092; MH140_096; MH144_100; MH152_103; MH166_117; MH168_119; MSN300; Multiple opening/closing net, 300 µm meshsize; Norther Equatorial Pacific Ocean; Northern Equatorial Pacific Ocean; Observation; ocean; Optional event label; South Atlantic; Southern Indian Ocean; Southern Pacific Ocean; Southern Subtropical Indian Ocean; Southern Subtropical Pacific Ocean; Southern Tropical Pacific Ocean; South Indian Ocean; Stable isotopes; Subtropical North Atlantic; Subtropical South Atlantic; SUMMER; Sustainable Management of Mesopelagic Resources; Taxon/taxa; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Zooplankton; δ13C; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 855 data points
    Location Call Number Expected Availability
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  • 80
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    Unknown
    Zooplankton biomass during the Malaspina Cruise (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: Carbon export (from the epipelagic towards the mesopelagic zone) and sequestration (from the mesopelagic towards the bathypelagic zone) in the ocean are reviewed. Particulate organic carbon (POC) flux, and active flux due to migrant zooplankton and micronekton are shown from the epipelagic to the mesopelagic zone, and from the latter to the bathypelagic zone. Values towards the meso- and bathypelagic zones are compared in oligotrophic and productive systems. Zooplankton and prokaryote respiration in the meso- and bathypelagic zones of the ocean are also reviewed for oligotrophic and productive systems. Values were integrated over a depth layer and are given as the flux or respiration under one square meter (in g/m**2/a) between e.g. 100 m and 1000 m depth.
    Keywords: 29HE20101215; 29HE20110117; 29HE20110211; 29HE20110317; 29HE20110416; 29HE20110513; 29HE20110619; bathypelagic; Date/Time of event; DEPTH, water; epipelagic; Event label; Hespérides; Image analysis; Latitude of event; Longitude of event; MALASPINA_LEG1; MALASPINA_LEG1_005-1; MALASPINA_LEG1_007-1; MALASPINA_LEG1_010-1; MALASPINA_LEG1_012-1; MALASPINA_LEG1_013-1; MALASPINA_LEG1_015-1; MALASPINA_LEG1_017-1; MALASPINA_LEG1_019-1; MALASPINA_LEG1_022-1; MALASPINA_LEG1_024-1; MALASPINA_LEG2; MALASPINA_LEG2_027-1; MALASPINA_LEG2_029-1; MALASPINA_LEG2_031-1; MALASPINA_LEG2_033-1; MALASPINA_LEG2_037-1; MALASPINA_LEG2_039-1; MALASPINA_LEG2_041-1; MALASPINA_LEG3; MALASPINA_LEG3_045-1; MALASPINA_LEG3_047-1; MALASPINA_LEG3_049-1; MALASPINA_LEG3_055-1; MALASPINA_LEG3_058-1; MALASPINA_LEG3_062-1; MALASPINA_LEG3_064-1; MALASPINA_LEG3_066-1; MALASPINA_LEG4; MALASPINA_LEG4_069-1; MALASPINA_LEG4_071-1; MALASPINA_LEG4_076-1; MALASPINA_LEG4_077-1; MALASPINA_LEG5; MALASPINA_LEG5_084-1; MALASPINA_LEG5_086-1; MALASPINA_LEG5_088-1; MALASPINA_LEG5_090-1; MALASPINA_LEG5_092-1; MALASPINA_LEG5_096-1; MALASPINA_LEG5_100-1; MALASPINA_LEG6; MALASPINA_LEG6_101-1; MALASPINA_LEG6_103-1; MALASPINA_LEG6_106-1; MALASPINA_LEG6_112-1; MALASPINA_LEG6_114-1; MALASPINA_LEG6_115-1; MALASPINA_LEG6_117-1; MALASPINA_LEG6_119-1; MALASPINA_LEG6_121-1; MALASPINA_LEG6_126-1; MALASPINA_LEG7; MALASPINA_LEG7_131-1; MALASPINA_LEG7_135-1; MALASPINA_LEG7_140-1; MALASPINA_LEG7_142-1; MALASPINA_LEG7_146-1; MALASPINA-2010; Malaspina circumnavigation expedition; Malaspina cruise; mesopelagic; MH007_005; MH009_007; MH012_010; MH014_012; MH015_013; MH017_015; MH019_017; MH021_019; MH024_022; MH026_024; MH036_027; MH038_029; MH040_031; MH042_033; MH046_037; MH048_039; MH050_041; MH061_045; MH063_047; MH065_049; MH075_055; MH078_058; MH082_062; MH086_066; MH095_069; MH097_071; MH102_076; MH103_077; MH128_084; MH130_086; MH132_088; MH134_090; MH136_092; MH140_096; MH144_100; MH150_101; MH152_103; MH155_106; MH161_112; MH163_114; MH164_115; MH166_117; MH168_119; MH170_121; MH175_126; MH193_131; MH197_135; MH202_140; MH204_142; MH208_146; MSN300; Multiple opening/closing net, 300 µm meshsize; Norther Equatorial Pacific Ocean; Northern Equatorial Pacific Ocean; Optional event label; Southern Indian Ocean; Southern Pacific Ocean; Southern Subtropical Indian Ocean; Southern Subtropical Pacific Ocean; Southern Tropical Pacific Ocean; South Indian Ocean; Subtropical North Atlantic; SUMMER; Sustainable Management of Mesopelagic Resources; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Zooplankton, biomass as carbon; Zooplankton biomass
    Type: Dataset
    Format: text/tab-separated-values, 124 data points
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  • 81
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    Carbon export and sequestration in the ocean (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: Carbon export (from the epipelagic towards the mesopelagic zone) and sequestration (from the mesopelagic towards the bathypelagic zone) in the ocean are reviewed. Particulate organic carbon (POC) flux, and active flux due to migrant zooplankton and micronekton are shown from the epipelagic to the mesopelagic zone, and from the latter to the bathypelagic zone. Values towards the meso- and bathypelagic zones are compared in oligotrophic and productive systems. Zooplankton and prokaryote respiration in the meso- and bathypelagic zones of the ocean are also reviewed for oligotrophic and productive systems. Values were integrated over a depth layer and are given as the flux or respiration under one square meter (in g/m**2/a) between e.g. 100 m and 1000 m depth.
    Keywords: active flux; biological carbon pump; Calculated, integrated over layer depth; Carbon, flux; Carbon, flux per year; Comment; Deep sea; Depth, description; DEPTH, water; MALASPINA-2010; Malaspina circumnavigation expedition; Ocean; Organisms; Parameter; passive flux; Reference/source; Respiration; Respiration rate, carbon; SUMMER; Sustainable Management of Mesopelagic Resources; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 902 data points
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  • 82
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    Unknown
    Review of global zooplankton biomass in the bathypelagic zone (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: We reviewed 274 profiles of zooplankton biomass smaller than 5 mm when this information was available but always excluding macrozooplankton and micronekton. Due to the different mesh sizes (200, 300 or 500 µm) used by the different authors in our review, the obtained values are in some cases an underestimation of mesozooplankton biomass for the smaller size classes. Data not available in Tables were obtained from data points of figures using GraphClick software v3.0. This data is marked with an asterisk in the Supplementary Table 5 of Hernández-León et al. (submitted). Biomass in different units were converted to carbon using different published conversion factors (Cushing et al., 1958). Values from different depth layers were centred at the mean depth, averaged in each profile, and expressed as standing stock below one square meter.
    Keywords: bathypelagic; Biomass; Calculated using Cushing et al. (1958), integrated over layer depth; DEPTH, water; Domain, biology; global; LATITUDE; LONGITUDE; MALASPINA-2010; Malaspina circumnavigation expedition; Ocean; Province; Reference/source; Station label; SUMMER; Sustainable Management of Mesopelagic Resources; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Uniform resource locator/link to reference; Year of observation; Zooplankton; Zooplankton, biomass as carbon
    Type: Dataset
    Format: text/tab-separated-values, 3348 data points
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  • 83
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    Natural abundance of stable isotopes in micronekton fish species from the BATHYPELAGIC cruise (North Atlantic, June 2018): carbon and nitrogen values in bulk tissues and nitrogen values in amino acids (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: The values of natural abundance of stable isotopes were measured in 13 micronekton fish species sampled during the BATHYPELAGIC cruise (North Atlantic, June 2018). This dataset contains the values obtained for carbon and nitrogen in bulk tissues, and nitrogen values in amino acids. Length and biomass data for each individual analyzed are also provided. Fishes were collected using a ''Mesopelagos” net (5x7 m mouth opening, 58 m total lenght) equipped with graded-mesh netting (starting with 30 mm and ending with 4 mm) and a multi-sampler for collecting samples from 5 different depth layers (Olivar et al., 2017). Individual fish were eviscerated, freeze-dried and weighted. Aliquots of muscular tissue (or whole individuals for species of small size) were analyzed in an elemental analyzer (bulk tissues, Olivar et al., 2019) or a gas chromatograph (derivatized amino acids, Mompeán et al., 2016) coupled to isotope-ratio mass spectrometers. Carbon analyses were made before and after removal of lipids with a mixture of trichloromethane:methanol:water.
    Keywords: 29SG20180524; Alanine; Alanine, δ15N; amino acids; Aspartamine and Aspartic acid; Aspartamine and Aspartic acid, δ15N; bathypelagic; BATHYPELAGIC; BATHYPELAGIC_01_N; BATHYPELAGIC_02_D; BATHYPELAGIC_02_N; BATHYPELAGIC_03_D; BATHYPELAGIC_03_N; BATHYPELAGIC_04_D1; BATHYPELAGIC_04_D2; BATHYPELAGIC_04_D3; BATHYPELAGIC_05_D1; BATHYPELAGIC_05_D2; BATHYPELAGIC_05_D3; BATHYPELAGIC_05_N; BATHYPELAGIC_06_N1; BATHYPELAGIC_06_N2; BATHYPELAGIC_07_N; BATHYPELAGIC_10_D1; BATHYPELAGIC_10_D2; Biomass and Active Flux in the Bathypelagic Zone; Carbon; Carbon, total; Date/Time of event; DEPTH, water; Dry mass; Elemental analyser - isotope ratio mass spectrometry; epipelagic; Event label; Family; fish; Gas chromatography - Isotope ratio mass spectrometer (GC-IRMS); Glutamine and Glutamic acid; Glutamine and Glutamic acid, δ15N; Glycine; Glycine, δ15N; GRC-EPB; Isoleucine; Isoleucine, δ15N; Latitude of event; Length, standard; Leucine; Leucine, δ15N; Longitude of event; Lysine; Lysine, δ15N; Measured using callipers; mesopelagic; Mesopelagos; Methionine; Methionine, δ15N; micronekton; Midwater trawl, Mesopelagos (Meillat, 2012); nitrogen; Nitrogen, total; North Atlantic; Observation; ocean; Order; Phenylalanine; Phenylalanine, δ15N; Proline; Proline, δ15N; Sample ID; Sarmiento de Gamboa; Serine; Serine, δ15N; Species; Stable isotopes; Station label; SUMMER; Sustainable Management of Mesopelagic Resources; Threonine; Threonine, δ15N; Time of day; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Valine; Valine, δ15N; Weighted; δ13C; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 1501 data points
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  • 84
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    ROMS-PISCES organic carbon in the Canary Current System (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: This dataset include outputs from a coupled physical-biogeochemical model (ROMS-PISCES) forced by climatological fields that has been used to examine the role of upwelling filaments in the offshore exchange of particulate (POC) and dissolved (DOC) organic carbon in the Canary Current eastern boundary upwelling system (CanC EBUS). The data consists on monthly climatological means of total organic carbon (direct sum of dissolved and particulate pools) generated by 7 years of simulation.
    Keywords: CAIBEX; canary upwelling; Constraining organic carbon fluxes in an eastern boundary upwelling ecosystem (NW Africa): the role of non-sinking carbon in the context of the biological pump; FLUXES; organic carbon; PISCES; ROMS; Shelf-ocean exchanges in the Canaries-Iberian large marine ecosystem; SUMMER; Sustainable Management of Mesopelagic Resources; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management
    Type: Dataset
    Format: application/x-hdf, 174.8 MBytes
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  • 85
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    Stable isotope data for Stomiiform fishes from the MAFIA cruise (April 2015) (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: The values of natural abundance of stable isotopes were measured in 13 micronekton fish species sampled during the MAFIA cruise (North Atlantic, April 2015). This dataset contains the values obtained for carbon and nitrogen in bulk tissues, and nitrogen values in amino acids. Length data and the number of individuals analysed for each species are also provided. Mesopelagic fishes were collected using a ''Mesopelagos” net (5x7 m mouth opening, 58 m total lenght) equipped with graded-mesh netting (starting with 30 mm and ending with 4 mm) and a multi-sampler for collecting samples from 5 different depth layers (Olivar et al., 2017). For C:N and stable isotope analyses, individual fish were eviscerated, freeze-dried and weighted. Aliquots of muscular tissue (or whole individuals for species of small size) were analyzed in an elemental analyzer (bulk tissues, Olivar et al., 2019) or a gas chromatograph (derivatized amino acids, Mompeán et al., 2016) coupled to isotope-ratio mass spectrometers.
    Keywords: Alanine; Alanine, δ15N; amino acids; Aspartamine and Aspartic acid; Aspartamine and Aspartic acid, δ15N; BATHYPELAGIC; Biomass and Active Flux in the Bathypelagic Zone; Carbon/Nitrogen ratio; carbon isotope ratio (δ13C); Central Atlantic; DATE/TIME; DEPTH, water; Elemental analyser - isotope ratio mass spectrometry; Event label; Family; fish; Gas chromatography - Isotope ratio mass spectrometer (GC-IRMS); Glutamine and Glutamic acid; Glutamine and Glutamic acid, δ15N; Glycine; Glycine, δ15N; GRC-EPB; Hespérides; ICM_Excellence_Centre; Isoleucine; Isoleucine, δ15N; Latitude of event; Length, standard; Leucine; Leucine, δ15N; Longitude of event; Lysine; Lysine, δ15N; MAFIA; MAFIA_PEL_10D; MAFIA_PEL_10N; MAFIA_PEL_12N; MAFIA_PEL_7N; MAFIA_PEL_8D; MAFIA_PEL_8N; MAFIA_PEL_9D; MAFIA_PEL_9N; Measured using callipers; Mesopelagos; Methionine; Methionine, δ15N; micronekton; Midwater trawl, Mesopelagos (Meillat, 2012); Migrants and Active Flux In the Atlantic Ocean; nitrogen isotope ratios; North Atlantic; Number of individuals; Phenylalanine; Phenylalanine, δ15N; Proline; Proline, δ15N; Serine; Serine, δ15N; Severo Ochoa Centre of Excellence; Species; Stable isotopes; Station label; SUMMER; Sustainable Management of Mesopelagic Resources; Threonine; Threonine, δ15N; Time of day; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Valine; Valine, δ15N; δ13C; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 444 data points
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  • 86
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    Otolith morphological measures of stranding mesopelagic fishes in the Canary Islands during June 2021 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: Otolith of mesopelagic fishes stranded in the Canary Islands during June 2021 were measured. This dataset contains the standard length (SL, mm) of each species, as well as the otolith length (OL, in mm) and width (OW, in mm), the aspect ratio (OAR = OW/OL) and the otolith relative length (ORL = (100*(OL/SL)) for each specimen. The species were identified using the external morphological identification and the otoliths analysis. We used the AFORO website for the identification of species using the otolith contour (Lombarte et al. 2006).
    Keywords: Calculated; Central-Eastern Atlantic; DEPTH, water; Fish, standard length; Fish measuring board; Gran Canaria, Canary Islands, Spain; HAND; Myctophids; Otolith, aspect ratio; Otolith, length; Otolith, relative length; Otolith, width; Otolith reader; Otoliths; Sampling by hand; SE_Gran_Canaria_2021; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Stereo Microscope; Stranding; SUMMER; Sustainable Management of Mesopelagic Resources; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management
    Type: Dataset
    Format: text/tab-separated-values, 1038 data points
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  • 87
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    Ice distribution in Hornsund fjord, Svalbard from Sentinel-1A/B (2014-2023) (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: This dataset contains binary maps of ice (1) and open water (0) in Hornsund fjord, Svalbard at 50 m resolution. The maps are based on the Sentinel-1A/B Synthetic Aperture Radar (SAR) archive between 14.10.2014 and 29.06.2023 with an average image frequency of 1.57 days. An algorithm was run on the radar backscatter and incidence angle images to divide fjord into typically 5 discontinuous segments, which were then classified as either ice or open water. A document containing details on the scenes and polarisation channels used, the number of segments and the level of manual editing is provided.
    Keywords: Arctic; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); Cryosphere; Hornsund_fjord; remote sensing; SAR; Sea ice; Sentinel-1; Svalbard; Synthetic Aperture Radar (SAR), Sentinel, 1A/B
    Type: Dataset
    Format: text/tab-separated-values, 2032 data points
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  • 88
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    KOSMOS 2018 Gran Canaria mesocosm study: dissolved organic matter (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-14
    Description: This dataset contains the dissolved organic matter (DOM) quantification and optical characterisation results from a KOSMOS mesocosm experiment carried out in the framework of the Ocean Artificial Upwelling project. The experiment was carried out in the autumn of 2018 in the oligotrophic waters of Gran Canaria. During the 39 days of experiment nutrient-rich deep water was added to the mesocosms in two modes (singular vs recurring additions), with four levels of intensity. Dissolved organic carbon, nitrogen and phosphorus were quantified with a Shimadzu TOC-5000 and a QuAAtro AutoAnalyzer. The absorption and fluorescence proprieties of DOM were determined making use of an Ocean Optics USB2000+UV-VIS-ES Spectrometer and a Jobin Yvon Horiba Fluoromax-4 spectrofluorometer, respectively. The aim of this dataset was to study the effect of artificial upwelling on the dissolved organic matter pool and its potential implications for carbon sequestration.
    Keywords: Absorption coefficient, 254 nm; Absorption coefficient, 325 nm; artificial upwelling; Biogeochemical impact of mesoscale and sub-mesoscale processes along the life history of cyclonic and anticyclonic eddies: plankton variability and productivity; Calculated; Canarias Sea; Carbon, organic, dissolved; Carbon, organic, dissolved/Nitrogen, organic, dissolved ratio; Carbon, organic, dissolved/Phosphorus, organic, dissolved ratio; carbon sequestration; chromophoric dissolved organic matter; DATE/TIME; Day of experiment; Dissolved Organic Carbon; Dissolved Organic Matter; dissolved organic nitrogen; dissolved organic phosphorus; e-IMPACT; Event label; Fluorescence intensity, maximum, component 1; Fluorescence intensity, maximum, component 2; Fluorescence intensity, maximum, component 4; Fluorescence intensity, maximum, component 5; fluorescent dissolved organic matter; Jobin Yvon Horiba Fluoromax-4 spectrofluorometer; KOSMOS_2018; KOSMOS_2018_Mesocosm-A; KOSMOS_2018_Mesocosm-DW; KOSMOS_2018_Mesocosm-M1; KOSMOS_2018_Mesocosm-M2; KOSMOS_2018_Mesocosm-M3; KOSMOS_2018_Mesocosm-M4; KOSMOS_2018_Mesocosm-M5; KOSMOS_2018_Mesocosm-M6; KOSMOS_2018_Mesocosm-M7; KOSMOS_2018_Mesocosm-M8; KOSMOS_2018_Mesocosm-M9; KOSMOS Gran Canaria; MESO; Mesocosm experiment; Mesocosm label; mesocosm study; Nitrogen, organic, dissolved; Nitrogen, organic, dissolved/Phosphorus, organic, dissolved ratio; Ocean Artificial Upwelling; Ocean-artUp; Ocean Optics USB2000+UV-VIS-ES Spectrometer; Phosphorus, organic, dissolved; PUMP; QuAAtro AutoAnalyzer; Shimadzu Total Organic Carbon Analyzer (TOC-5000A); Slope ratio; Spectral slope, 275-295 nm; Spectral slope, 350-400 nm; Treatment; Treatment: nutrients; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Water pump
    Type: Dataset
    Format: text/tab-separated-values, 3962 data points
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  • 89
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    Basic measurements of radiation at station Izaña (2015-05) (2015)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 841979 data points
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  • 90
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    Basic measurements of radiation at station Izaña (2015-07) (2015)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 842747 data points
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  • 91
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    Basic and other measurements of radiation at station Gobabeb (2015-07) (2015)
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Details
    Publication Date: 2024-06-14
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, standard deviation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyranometer, Kipp & Zonen, CMP22, SN 120330, WRMC No. 20102; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrgeometer, Kipp & Zonen, CGR4, SN 120457, WRMC No. 20201; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 580162 data points
    Location Call Number Expected Availability
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  • 92
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    Basic and other measurements of radiation at station Gobabeb (2015-08) (2015)
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Details
    Publication Date: 2024-06-14
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, standard deviation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyranometer, Kipp & Zonen, CMP22, SN 120330, WRMC No. 20102; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrgeometer, Kipp & Zonen, CGR4, SN 120457, WRMC No. 20201; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 580068 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 93
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Izaña (2015-08) (2015)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 844710 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 94
    facet.materialart.
    Unknown
    Basic and other measurements of radiation at station Gobabeb (2015-09) (2015)
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Details
    Publication Date: 2024-06-14
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, standard deviation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyranometer, Kipp & Zonen, CMP22, SN 120330, WRMC No. 20102; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrgeometer, Kipp & Zonen, CGR4, SN 120457, WRMC No. 20201; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 561470 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 95
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Izaña (2015-09) (2015)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 814159 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 96
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Izaña (2015-10) (2015)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 838108 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 97
    facet.materialart.
    Unknown
    Basic measurements of radiation at station Izaña (2015-11) (2015)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-14
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 805795 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 98
    facet.materialart.
    Unknown
    Basic and other measurements of radiation at station Gobabeb (2015-10) (2015)
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Details
    Publication Date: 2024-06-14
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, standard deviation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyranometer, Kipp & Zonen, CMP22, SN 120330, WRMC No. 20102; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrgeometer, Kipp & Zonen, CGR4, SN 120457, WRMC No. 20201; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 580128 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 99
    facet.materialart.
    Unknown
    Basic and other measurements of radiation at station Gobabeb (2015-11) (2015)
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Details
    Publication Date: 2024-06-14
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, standard deviation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyranometer, Kipp & Zonen, CMP22, SN 120330, WRMC No. 20102; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrgeometer, Kipp & Zonen, CGR4, SN 120457, WRMC No. 20201; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 557897 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 100
    facet.materialart.
    Unknown
    Basic and other measurements of radiation at station Gobabeb (2015-12) (2016)
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Details
    Publication Date: 2024-06-14
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, standard deviation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyranometer, Kipp & Zonen, CMP22, SN 120330, WRMC No. 20102; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrgeometer, Kipp & Zonen, CGR4, SN 120457, WRMC No. 20201; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 580064 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
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