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  • 1
    facet.materialart.
    Unknown
    Hydrographical time series data of Helgoland, Southern North Sea, 2022 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-03
    Description: The dataset contains temperature, salinity, oxygen saturation, chlorophyll a and turbidity data from the Helgoland MarGate underwater observatory from the year 2022 in a temporal resolution of 1 hour. The cabled observatory is located in 10m water depth and comprises single or multiple sensors for a specific parameter (see https://www.awi.de/en/science/biosciences/shelf-sea-system-ecology/main-research-focus/cosyna/underwater-node-helgoland.html). For a detailed description of the data see associated metadatafile metadata_heluwobs_2022_hydrography.pdf.
    Keywords: ACROSS; Advanced Remote Sensing – Ground-Truth Demo and Test Facilities; Alfred-Wegener-Institute; BAH; Chlorophyll a; Chlorophyll a, confidence value; Coastal Observing System for Northern and Arctic Seas; COSYNA; DATE/TIME; Helgoland, North Sea; Helgoland-UWO; Hereon; in situ observations; MarGate; MarGate underwater experimental area; Modular Observation Solutions for Earth Systems; MOSES; OBSE; Observation; Observatory; observatory data; Oxygen saturation; Oxygen saturation, confidence value; Salinity; Salinity, confidence value; Scientific diving; See further details: Metadata for the Helgoland underwater observatory; Shelf Seas Systems Ecology @ AWI (former Biologische Anstalt Helgoland); Temperature, water; Temperature, water, confidence value; Turbidity, confidence value; Turbidity (Formazin Turbidity Unit)
    Type: Dataset
    Format: text/tab-separated-values, 49614 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
    facet.materialart.
    Unknown
    Occurrence of Globorotalia cavernula in the water column and sediments: global compilation of sightings and abundances (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-03
    Description: Here, we present a global compilation of previously reported sightings of the rare planktic foraminifer Globorotalia cavernula Bé, 1967 as well as new observations of live-collected specimens from the Southern Ocean (Subantarctic south of Africa). The goal of this synthesis is to provide the geographic and stratigraphic context needed to investigate the past and present-day distributions of this rare but possibly under-recognized species. The previous records include modern occurrences in the water column (collected by plankton net tows and a single sediment trap) and seafloor sediments ranging in age from recent to Eocene. Seafloor sediment samples were collected by dredge, sediment grabs and core-tops. Deeper sediments came from drilling cores. Existing databases provided a foundation for this compilation, particularly ForCenS for surface sediments (Siccha & Kucera, 2017) and FORCIS for water-column collections (de Garidel-Thoron et al., 2022; Chaabane et al., 2022, 2023). These records were supplemented with occurrences from the literature, PANGEA, and cruise reports of the Deep Sea Drilling Project (DSDP) / Ocean Drilling Program (ODP). Searches were conducted in October 2022 using Google Scholar, GBIF, EOL (Encyclopedia of Life, "http://eol.org", which includes records from the Smithsonian NMNH). Where available, we include information on the abundance of G. cavernula in each collection, and indicate whether photographic evidence (or drawings) could be found to support the identification. Globorotalia crozetensis Thompson, 1973 (reclassified as G. cavernula by Brummer & Kučera, 2022) and closely related Globorotalia petaliformis Boltovskoy, 1974 were also included in compilation.
    Keywords: 15-147; 154-925; 164-997A; 180-1108B; 26-253; 26-254; 26-258A; 2803; 2804; 29-284; 40-362A; 49-411A; 49-412; 54-423; 54-424; 54-425; 73-519; Abundance; abundance data; Abundance per volume; Age, comment; Antarctic Ocean/Tasman Sea/PLATEAU; ATLANTIS_II_cruise31_36; Author(s); Be67_EL_10-1-130; Be67_EL_10-1-131; Be67_EL_10-19-186; Be67_EL_10-19-187; Be67_EL_10-20-190; Be67_EL_10-2-133; Be67_EL_10-24-208; Be67_EL_10-28-219; Be67_EL_10-29-221; Be67_EL_10-31-225; Be67_EL_10-31-226; Be67_EL_10-31-227; Be67_EL_10-3-136; Be67_EL_10-32-230; Be67_EL_10-4-139; Be67_EL_10-5-141; Be67_EL_11-5-249; Be67_EL_13-1-443; Be67_EL_13-2-449; Be67_EL_13-3-456; Be67_EL_13-6-474; Be67_EL_14-4-594; Be67_EL_15-17-806; Be67_EL_15-23-843; Be67_EL_15-26-864; Be67_EL_15-5-751; Be67_EL_15-5-752; Be67_EL_17-34-1112; Be67_EL_18-1-1137; Be67_EL_18-2-1138; Be67_EL_18-3-1150; Be67_EL_19-1171; Be67_EL_19-13-1233; Be67_RC9_80; Be67_RC9_92; Be67_V16_202; BOFS31/1K; BOFS31#1; Caribbean Sea/RIDGE; CD53; Charles Darwin; Closing Discovery net, Manufacturer unknown, N70V; Comment; COMPCORE; Composite Core; Core tops; CP_trap; Cruise/expedition; Depth, description; Disc2_1951_2803; Disc2_1951_2804; DRILL; Drilling/drill rig; EL 10-1-130; EL 10-1-131; EL 10-19-186; EL 10-19-187; EL 10-20-190; EL 10-2-133; EL 10-24-208; EL 10-28-219; EL 10-29-221; EL 10-31-225; EL 10-31-226; EL 10-31-227; EL 10-3-136; EL 10-32-230; EL 10-4-139; EL 10-5-141; EL 11-5-249; EL 13-1-443; EL 13-2-449; EL 13-3-456; EL 13-6-474; EL 14-4-594; EL 15-17-806; EL 15-23-843; EL 15-26-864; EL 15-5-751; EL 15-5-752; EL 17-34-1112; EL 18-1-1137; EL 18-2-1138; EL 18-3-1150; EL 19-1171; EL 19-13-1233; ELT10; ELT11; ELT13; ELT14; ELT15; ELT17; ELT18; ELT19; Eltanin; Event label; GeoB1728-3; Giant box corer; GIK15612-2; GIK15637-1; GIK15667-1; GIK15669-2; GIK15672-2; GIK17933-2; GKG; Globorotalia cavernula; Globorotalia crozetensis; Globorotalia petaliformis; Glomar Challenger; Gravity corer (Kiel type); Hayward86_station17; Indian Ocean//PLATEAU; Indian Ocean//RIDGE; Joides Resolution; KAL; Kasten corer; Knorr73_MOC131; KOL; LATITUDE; Leg15; Leg154; Leg164; Leg180; Leg26; Leg29; Leg40; Leg49; Leg54; Leg73; LONGITUDE; M20/2; M35/1; M35027-1; M53; M53_167; M53_169; M53_172-1; M57; M6; M9; Meteor (1964); Meteor (1986); MOC; MOCNESS opening/closing plankton net; MONITOR MONSUN; Namibia Continental Margin; net tows; Nicaraguan Rise, North Atlantic Ocean; North Atlantic; North Atlantic/BASIN; North Atlantic/FRACTURE ZONE; Northeast Atlantic; North Pacific/MOUND; North Pacific/SEDIMENT POND; Number of specimens; occurrence data; Ocean and sea region; off West Africa; Optional event label; PC; Persistent Identifier; Piston corer; Piston corer (Kiel type); PLA; planktic foraminifera; Plankton net; R/V_Knorr_73_MOC131; RC08; RC08-39; RC 9-80; RC 9-92; Reference/source; Robert Conrad; S. A. Agulhas II; Sample method; Sediment cores; Sediment sample; SES; Site; SL; SO95; Solomon Sea; Sonne; South Atlantic/RIDGE; South Atlantic Ocean; South China Sea; Species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); station 17; Trap; TRAP; Uniform resource locator/link to reference; V16; V 16-202; van Veen Grab; Vema; VGRAB; VOY016; VOY016_W2; VOY016_W3; VOY019; VOY019_M6; VOY019_M9; W2; W3
    Type: Dataset
    Format: text/tab-separated-values, 1061 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 3
    facet.materialart.
    Unknown
    Temperate deciduous shrub and tree In situ autumn phenology 2017, 2018, 2020, 2021. Downer Woods, Milwaukee, Wisconsin, USA (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-03
    Description: This data set includes in situ observations (Day of year) of a range of spring (budburst, leaf-out and full leaf unfolded) and autumn (leaf color and leaf fall) phenology (2017-2021) of a range of co-occurring species of tree (Fraxinus spp. (ash), Tilia americana (American-basswood), Quercus rubra (red-oak), Quercus alba (white-oak) and Acer negundo (boxelder)) and shrub (Native species: Prunus virginiana (chokecherry), Cornus alternifolia (pagoda-dogwood), Viburnum lentago (nannyberry), Ribes americanum (American-wild-currant) and Euonymus atropurpureus (Eastern wahoo) and Non-native species: Rhamnus cathartica (buckthorn), Lonicera morrowii (honeysuckle), Ligustrum vulgare (European-privet) and Viburnum opulus (European-highbush-cranberry)) in an urban woodland fragment in Wisconsin, USA. Spring data span 2017, 2018, 2020 and 2021 whereas autumn data span 2018-2021. The reason data for spring 2019 are omitted is due to observer error which resulted in a number of inconsistencies so the entire season has been omitted.
    Keywords: autumn; budburst; Description; Downer_Woods; FORESTOBS; Forest observation; full-leaf; HAND; leaf color; leaf fall; Leaf fall, end, day of the year; Leaf fall, start, day of the year; leaf-out; Leaf senescence, end, day of the year; Leaf senescence, start, day of the year; Milwaukee, WI, USA; native and non-native; Number; phenology; phenology duration; Plot; Sampling by hand; Species; Species, common name; spring; temperate deciduous shrubs; temperate deciduous trees; Vegetation category; Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 2821 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 4
    facet.materialart.
    Unknown
    Triple oxygen and hydrogen isotope data of gypsum from Cyprus (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-03
    Description: Gypsum samples collected in two outcrops located in the Polemi basin, Cyprus, have been analyzed for their triple oxygen and hydrogen isotopic composition. Respective methods are described in the original publication. The oxygen and hydrogen data provided here is derived from the crystal bound H2O within the Gypsum (CaSO4*2H2O), which allows calculating paleo-water isotopic compositions of the mother brine from which this gypsum precipitated during the Messinian Salinity Crisis. Because the isotopic composition of the mother brine is affected by the local hydroclimate at that time, such analyses allow reconstructing paleo-hydroclimate. One aim of the study was to reconstruct paleo-relative humidity of the Messinian Salinity Crisis. For this purpose, the triple oxygen and hydrogen isotope data was fitted to an appropriate isotope model that is based on the Craig and Gordon formula, which provides absolute paleo-relative humidity estimates. Model input and output data are summarized in Table S2.
    Keywords: Cyprus; Date of determination; Deuterium excess; Deuterium excess, standard deviation; Event label; Isotope ratio mass spectrometer (IRMS), Thermo Fisher, MAT253; Messinian Salinity Crisis; Outcrop; OUTCROP; Outcrop 1; Outcrop 2; Outcrop sample; Oxygen-17 excess; Oxygen-17 excess, standard deviation; Paleoceanography; paleohumidity; Polemi_basin_gypsum_outcrop_1; Polemi_basin_gypsum_outcrop_2; Sample code/label; Sample ID; Seawater δ18O; Sr isotopes; Time point, descriptive; triple oxygen isotopes; δ17O, water; δ17O, water, standard deviation; δ18O, water; δ18O, water, standard deviation; δ Deuterium; δ Deuterium, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 672 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 5
    facet.materialart.
    Unknown
    (Table 3) Percentages of planktonic foraminiferal species and varieties from the sediment surface samples from the South China Sea (1999)
    PANGAEA
    Details
    Publication Date: 2024-06-03
    Keywords: Candeina nitida; Counting 〉150 µm fraction; CTD/Rosette; CTD-RO; DEPTH, sediment/rock; Elevation of event; Event label; Giant box corer; GIK/IfG; GIK17920-1; GIK17921-1; GIK17928-1; GIK17929-1; GIK17930-1; GIK17931-1; GIK17932-1; GIK17933-2; GIK17934-1; GIK17935-1; GIK17937-1; GIK17938-1; GIK17939-1; GIK17940-1; GIK17941-1; GIK17942-1; GIK17943-1; GIK17944-1; GIK17945-1; GIK17948-1; GIK17949-1; GIK17950-1; GIK17951-1; GIK17952-2; GIK17954-1; GIK17955-1; GIK17957-1; GIK17958-1; GIK17959-1; GIK17960-1; GIK17961-1; GIK17962-1; GIK17963-2; GIK17964-1; GIK17965-1; GKG; Globigerina bulloides; Globigerina calida; Globigerina digitata; Globigerina falconensis; Globigerina rubescens; Globigerinella aequilateralis; Globigerinita glutinata; Globigerinoides conglobatus; Globigerinoides ruber; Globigerinoides ruber highspired; Globigerinoides tenellus; Globigerinoides trilobus sacculifer; Globigerinoides trilobus trilobus; Globorotalia cavernula; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia menardii; Globorotalia scitula; Globorotalia truncatulinoides dextral; Globorotalia truncatulinoides sinistral; Globorotalia tumida; Globorotaloides hexagonus; Hastigerina pelagica; Institute for Geosciences, Christian Albrechts University, Kiel; Latitude of event; Longitude of event; MONITOR MONSUN; Neogloboquadrina dutertrei; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma dextral and dutertrei integrade; Neogloboquadrina pachyderma sinistral; Orbulina universa; Pulleniatina obliquiloculata; SO95; Sonne; South China Sea; Sphaeroidinella dehiscens
    Type: Dataset
    Format: text/tab-separated-values, 1120 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 6
    facet.materialart.
    Unknown
    Hydrographical time series data of the littoral zone of Kongsfjorden, Svalbard 2023 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-03
    Description: The dataset contains temperature, salinity, oxygen saturation, chlorophyll a and turbidity data from the AWIPEV underwater observatory from the year 2023 in a temporal resolution of 1 hour. The cabled observatory is located in 12m water depth and comprises single or multiple sensors for a specific parameter (see https://www.awi.de/en/science/biosciences/shelf-sea-system-ecology/main-research-focus/cosyna/underwater-node-spitsbergen.html). For a detailed description of the data see associated metadatafile metadata_svulobs_2023_hydrography.pdf
    Keywords: AWIPEV; AWIPEV_based; AWIPEV_UW-Observatory; Centre for Scientific Diving; Chlorophyll a; Chlorophyll a, confidence value; Coastal Observing System for Northern and Arctic Seas; COSYNA; CSD; DATE/TIME; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; HZG; Kongsfjorden, Spitsbergen, Arctic; Modular Observation Solutions for Earth Systems; MOSES; OBSE; Observation; Oxygen saturation; Oxygen saturation, confidence value; Salinity; Salinity, confidence value; See further details: Metadata for the AWIPEV underwater observatory; Temperature, water; Temperature, water, confidence value; Turbidity, confidence value; Turbidity (Formazin Turbidity Unit)
    Type: Dataset
    Format: text/tab-separated-values, 77732 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 7
    facet.materialart.
    Unknown
    Basic and other measurements of radiation at station Tateno (1996-03) (2007)
    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Details
    Publication Date: 2024-06-03
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; Pyranometer, EKO, MS-801, SN F87021, WRMC No. 16001; Pyranometer, EKO, MS-801, SN F87023, WRMC No. 16003; Pyrgeometer, Eppley, PIR, SN 29460F3, WRMC No. 16009; Pyrgeometer, Eppley, PIR, SN 30700F3, WRMC No. 16010; Pyrheliometer, Eppley, NIP, SN 26662E6, WRMC No. 16007; Short-wave upward (REFLEX) radiation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 226895 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 8
    facet.materialart.
    Unknown
    Extended radiosonde profiles 2019/09-2020/10 during MOSAiC Legs PS122/1 - PS122/5 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-03
    Description: During the MOSAiC expedition 2019-2020 atmospheric thermodynamic profile measurements have been conducted from a meteorological (Met) Tower on the sea ice, as well as via collocated radiosondes that were launched approximately every six hours from aboard Polarstern. While the radiosondes lack the lowermost 10 m above the sea ice, the Met Tower profile can be used to fill this gap (observations at 0, 2, 6 and 10 meters). This is a blended data product that merges the Met Tower profile (data version 3.4, doi:10.18739/A2PV6B83F) in the minute of the radiosonde launch with the radiosonde profile aloft (data version 3, doi:10.1594/PANGAEA.943870). Parameters included are temperature (T), relative humidity (RH), wind speed and -direction, and air pressure. The aim of this product is two-fold: (1) To provide comprehensive atmospheric profiles for each radiosonde launch, that additionally retain the lowermost meters of the atmospheric boundary layer above the sea ice and (2) to remove potential unrealistic T/RH values from the radiosonde profiles that can emerge in the lowermost 100 m due to the influence of the ship on the measurement. Examples for the latter are occasional warm anomalies due to the heat island effect of the ship, or elevated, vertically confined peaks that can arise from the ship's exhaust plume. The potential effect of the exhaust plume on the T profile is estimated by comparing the radiosonde at 30 m height to the concurring Polarstern meteorological observation (doi:10.1594/PANGAEA.935263 - doi:10.1594/PANGAEA.935267). Given the geometrical constellation of the Polarstern observation towards the bow of the ship and the sounding launch platform at the aft of the ship, and depending on the wind direction relative to the ship, it can be assumed that at least one of the T measurements is less impacted from the ship exhaust than the other, and is retained. In a next step, the 10 - 30 m height segment in T and RH is filled with a linear interpolation between the Met Tower at 10 m and the radiosonde observation at 30 m. When identified, remaining T/RH peaks in the lowermost 100 m of the profile are removed and filled with a linear interpolation from below to above the peak. T/RH flags are provided to indicate where the profiles have been manipulated from the original data, and to indicate the reason for missing data in the profile. Compared to the original profiles, this blended product adds value and quality control in the lowest 100 m, which makes it better suitable, for example, for boundary layer analyses.
    Keywords: Arctic Ocean; boundary layer; DATE/TIME; Event label; FLUX_TOWER; Flux tower; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Other event; Polarstern; Profile; PS122/1; PS122/1_10-103; PS122/1_10-105; PS122/1_10-106; PS122/1_10-107; PS122/1_10-108; PS122/1_10-134; PS122/1_10-135; PS122/1_10-21; PS122/1_10-22; PS122/1_10-23; PS122/1_10-24; PS122/1_10-28; PS122/1_10-29; PS122/1_10-3; PS122/1_10-30; PS122/1_10-31; PS122/1_10-4; PS122/1_10-53; PS122/1_10-54; PS122/1_10-56; PS122/1_10-57; PS122/1_10-73; PS122/1_10-74; PS122/1_10-75; PS122/1_10-76; PS122/1_10-94; PS122/1_10-95; PS122/1_10-99; PS122/1_11-10; PS122/1_11-29; PS122/1_11-30; PS122/1_11-31; PS122/1_11-32; PS122/1_11-33; PS122/1_11-43; PS122/1_11-44; PS122/1_11-45; PS122/1_11-46; PS122/1_11-5; PS122/1_11-6; PS122/1_11-7; PS122/1_11-8; PS122/1_11-9; PS122/1_1-299; PS122/1_2-10; PS122/1_2-100; PS122/1_2-101; PS122/1_2-102; PS122/1_2-103; PS122/1_2-104; PS122/1_2-105; PS122/1_2-106; PS122/1_2-107; PS122/1_2-11; PS122/1_2-110; PS122/1_2-111; PS122/1_2-112; PS122/1_2-113; PS122/1_2-115; PS122/1_2-116; PS122/1_2-117; PS122/1_2-118; PS122/1_2-119; PS122/1_2-12; PS122/1_2-120; PS122/1_2-121; PS122/1_2-122; PS122/1_2-123; PS122/1_2-127; PS122/1_2-135; PS122/1_2-136; PS122/1_2-137; PS122/1_2-139; PS122/1_2-141; PS122/1_2-142; PS122/1_2-143; PS122/1_2-144; PS122/1_2-145; PS122/1_2-146; PS122/1_2-147; PS122/1_2-148; PS122/1_2-149; PS122/1_2-150; PS122/1_2-16; PS122/1_2-160; PS122/1_2-161; PS122/1_2-162; PS122/1_2-163; PS122/1_2-17; PS122/1_2-171; PS122/1_2-172; PS122/1_2-173; PS122/1_2-174; PS122/1_2-179; PS122/1_2-180; PS122/1_2-181; PS122/1_2-182; PS122/1_2-184; PS122/1_2-185; PS122/1_2-186; PS122/1_2-187; PS122/1_2-188; PS122/1_2-189; PS122/1_2-190; PS122/1_2-191; PS122/1_2-192; PS122/1_2-193; PS122/1_2-20; PS122/1_2-204; PS122/1_2-205; PS122/1_2-21; PS122/1_2-27; PS122/1_2-28; PS122/1_2-29; PS122/1_2-31; PS122/1_2-32; PS122/1_2-33; PS122/1_2-34; PS122/1_2-36; PS122/1_2-37; PS122/1_2-38; PS122/1_2-39; PS122/1_2-4; PS122/1_2-41; PS122/1_2-42; PS122/1_2-43; PS122/1_2-44; PS122/1_2-49; PS122/1_2-5; PS122/1_2-51; PS122/1_2-52; PS122/1_2-53; PS122/1_2-54; PS122/1_2-55; PS122/1_2-56; PS122/1_2-59; PS122/1_2-6; PS122/1_2-60; PS122/1_2-61; PS122/1_2-62; PS122/1_2-69; PS122/1_2-7; PS122/1_2-70; PS122/1_2-71; PS122/1_2-72; PS122/1_2-73; PS122/1_2-74; PS122/1_2-75; PS122/1_2-76; PS122/1_2-77; PS122/1_2-78; PS122/1_2-79; PS122/1_2-80; PS122/1_2-81; PS122/1_2-82; PS122/1_2-83; PS122/1_2-86; PS122/1_2-87; PS122/1_2-88; PS122/1_2-9; PS122/1_2-91; PS122/1_2-92; PS122/1_2-93; PS122/1_2-94; PS122/1_4-19; PS122/1_4-20; PS122/1_4-21; PS122/1_4-22; PS122/1_4-30; PS122/1_4-31; PS122/1_4-32; PS122/1_4-33; PS122/1_4-35; PS122/1_4-36; PS122/1_4-4; PS122/1_4-5; PS122/1_4-6; PS122/1_4-7; PS122/1_4-8; PS122/1_4-9; PS122/1_5-10; PS122/1_5-11; PS122/1_5-12; PS122/1_5-13; PS122/1_5-20; PS122/1_5-21; PS122/1_5-22; PS122/1_5-23; PS122/1_5-31; PS122/1_5-32; PS122/1_5-33; PS122/1_5-34; PS122/1_5-36; PS122/1_5-37; PS122/1_5-38; PS122/1_5-39; PS122/1_5-49; PS122/1_5-50; PS122/1_5-51; PS122/1_5-52; PS122/1_5-6; PS122/1_5-7; PS122/1_5-72; PS122/1_5-73; PS122/1_5-74; PS122/1_5-75; PS122/1_5-79; PS122/1_5-80; PS122/1_6-112; PS122/1_6-113; PS122/1_6-114; PS122/1_6-115; PS122/1_6-12; PS122/1_6-125; PS122/1_6-126; PS122/1_6-13; PS122/1_6-14; PS122/1_6-15; PS122/1_6-24; PS122/1_6-25; PS122/1_6-26; PS122/1_6-27; PS122/1_6-3; PS122/1_6-53; PS122/1_6-54; PS122/1_6-55; PS122/1_6-56; PS122/1_6-71; PS122/1_6-72; PS122/1_6-73; PS122/1_6-74; PS122/1_6-82; PS122/1_6-83; PS122/1_6-84; PS122/1_6-85; PS122/1_7-100; PS122/1_7-101; PS122/1_7-102; PS122/1_7-107; PS122/1_7-108; PS122/1_7-109; PS122/1_7-110; PS122/1_7-113; PS122/1_7-114; PS122/1_7-13; PS122/1_7-14; PS122/1_7-26; PS122/1_7-27; PS122/1_7-29; PS122/1_7-30; PS122/1_7-43; PS122/1_7-44; PS122/1_7-45; PS122/1_7-46; PS122/1_7-63; PS122/1_7-64; PS122/1_7-65; PS122/1_7-66; PS122/1_7-83; PS122/1_7-84; PS122/1_7-85; PS122/1_7-86; PS122/1_7-99; PS122/1_8-101; PS122/1_8-11; PS122/1_8-115; PS122/1_8-116; PS122/1_8-117; PS122/1_8-118; PS122/1_8-12; PS122/1_8-120; PS122/1_8-121; PS122/1_8-13; PS122/1_8-14; PS122/1_8-39; PS122/1_8-40; PS122/1_8-41; PS122/1_8-42; PS122/1_8-5; PS122/1_8-6; PS122/1_8-63; PS122/1_8-64; PS122/1_8-65; PS122/1_8-66; PS122/1_8-80; PS122/1_8-81; PS122/1_8-82; PS122/1_8-83; PS122/1_8-95; PS122/1_8-96; PS122/1_9-100; PS122/1_9-101; PS122/1_9-102; PS122/1_9-105; PS122/1_9-106; PS122/1_9-13; PS122/1_9-14; PS122/1_9-18; PS122/1_9-19; PS122/1_9-20; PS122/1_9-21; PS122/1_9-41; PS122/1_9-42; PS122/1_9-43; PS122/1_9-44; PS122/1_9-57; PS122/1_9-58; PS122/1_9-59; PS122/1_9-60; PS122/1_9-77; PS122/1_9-78; PS122/1_9-79; PS122/1_9-80; PS122/1_9-88; PS122/1_9-89; PS122/1_9-90; PS122/1_9-91; PS122/1_99-46; PS122/1_99-47; PS122/1_9-99; PS122/2; PS122/2_14-119; PS122/2_15-1; PS122/2_15-13; PS122/2_15-2; PS122/2_15-3; PS122/2_15-4; PS122/2_15-5; PS122/2_15-7; PS122/2_16-10; PS122/2_16-11; PS122/2_16-13; PS122/2_16-16; PS122/2_16-17; PS122/2_16-18; PS122/2_16-19; PS122/2_16-2; PS122/2_16-3; PS122/2_16-31; PS122/2_16-32; PS122/2_16-33; PS122/2_16-4; PS122/2_16-40; PS122/2_16-41; PS122/2_16-42; PS122/2_16-43; PS122/2_16-5; PS122/2_16-57; PS122/2_16-58; PS122/2_16-59; PS122/2_16-6; PS122/2_16-67; PS122/2_16-68; PS122/2_16-69; PS122/2_16-7; PS122/2_16-70; PS122/2_16-76; PS122/2_17-10; PS122/2_17-102; PS122/2_17-104; PS122/2_17-105; PS122/2_17-11; PS122/2_17-110; PS122/2_17-12; PS122/2_17-21; PS122/2_17-22; PS122/2_17-23; PS122/2_17-24; PS122/2_17-35; PS122/2_17-36; PS122/2_17-37; PS122/2_17-38; PS122/2_17-55; PS122/2_17-56; PS122/2_17-57; PS122/2_17-58; PS122/2_17-71; PS122/2_17-72; PS122/2_17-73; PS122/2_17-74; PS122/2_17-92; PS122/2_17-93; PS122/2_17-94; PS122/2_17-95; PS122/2_18-100; PS122/2_18-11; PS122/2_18-12; PS122/2_18-13; PS122/2_18-20; PS122/2_18-21; PS122/2_18-22; PS122/2_18-28; PS122/2_18-29; PS122/2_18-30; PS122/2_18-31; PS122/2_18-48; PS122/2_18-49; PS122/2_18-50; PS122/2_18-51; PS122/2_18-67; PS122/2_18-68; PS122/2_18-69; PS122/2_18-70; PS122/2_18-85; PS122/2_18-86; PS122/2_18-87; PS122/2_18-88; PS122/2_18-94; PS122/2_18-95; PS122/2_18-96; PS122/2_18-97; PS122/2_19-10; PS122/2_19-100; PS122/2_19-11; PS122/2_19-12; PS122/2_19-124; PS122/2_19-125; PS122/2_19-126; PS122/2_19-127; PS122/2_19-143; PS122/2_19-22; PS122/2_19-23; PS122/2_19-25; PS122/2_19-47; PS122/2_19-48; PS122/2_19-49; PS122/2_19-50; PS122/2_19-71; PS122/2_19-72; PS122/2_19-73; PS122/2_19-74; PS122/2_19-84; PS122/2_19-85; PS122/2_19-86; PS122/2_19-87; PS122/2_19-97; PS122/2_19-98; PS122/2_19-99; PS122/2_20-10; PS122/2_20-103; PS122/2_20-104; PS122/2_20-105; PS122/2_20-106; PS122/2_20-119; PS122/2_20-120; PS122/2_20-121; PS122/2_20-122; PS122/2_20-135; PS122/2_20-19; PS122/2_20-20; PS122/2_20-21; PS122/2_20-22; PS122/2_20-37; PS122/2_20-38; PS122/2_20-39; PS122/2_20-40; PS122/2_20-66; PS122/2_20-67; PS122/2_20-68; PS122/2_20-69; PS122/2_20-8; PS122/2_20-84; PS122/2_20-85; PS122/2_20-86; PS122/2_20-87; PS122/2_20-9; PS122/2_21-106; PS122/2_21-107; PS122/2_21-108; PS122/2_21-109; PS122/2_21-115; PS122/2_21-116; PS122/2_21-117; PS122/2_21-132; PS122/2_21-133; PS122/2_21-134; PS122/2_21-135; PS122/2_21-136; PS122/2_21-21; PS122/2_21-22; PS122/2_21-23; PS122/2_21-37; PS122/2_21-38; PS122/2_21-39; PS122/2_21-40; PS122/2_21-57; PS122/2_21-58; PS122/2_21-59; PS122/2_21-60; PS122/2_21-79; PS122/2_21-80; PS122/2_21-81; PS122/2_21-82; PS122/2_22-10; PS122/2_22-102; PS122/2_22-103; PS122/2_22-104; PS122/2_22-105; PS122/2_22-11; PS122/2_22-111; PS122/2_22-20; PS122/2_22-21; PS122/2_22-22; PS122/2_22-23; PS122/2_22-38; PS122/2_22-39; PS122/2_22-41; PS122/2_22-57; PS122/2_22-58; PS122/2_22-59; PS122/2_22-60; PS122/2_22-78; PS122/2_22-79; PS122/2_22-80; PS122/2_22-81; PS122/2_22-86; PS122/2_22-87; PS122/2_22-88; PS122/2_22-89; PS122/2_22-9; PS122/2_23-101; PS122/2_23-102; PS122/2_23-103; PS122/2_23-104; PS122/2_23-117; PS122/2_23-118; PS122/2_23-119; PS122/2_23-
    Type: Dataset
    Format: text/tab-separated-values, 3036 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 9
    facet.materialart.
    Unknown
    Basic and other measurements of radiation at station Tateno (1996-11) (2007)
    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Details
    Publication Date: 2024-06-03
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; Pyranometer, EKO, MS-801, SN F87023, WRMC No. 16003; Pyranometer, EKO, MS-801, SN F95127, WRMC No. 16012; Pyrgeometer, Eppley, PIR, SN 29460F3, WRMC No. 16009; Pyrgeometer, Eppley, PIR, SN 30700F3, WRMC No. 16010; Pyrheliometer, Kipp & Zonen, CH1, SN 950093, WRMC No. 16011; Short-wave upward (REFLEX) radiation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 347755 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 10
    facet.materialart.
    Unknown
    Basic and other measurements of radiation at station Tateno (1996-12) (2007)
    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Details
    Publication Date: 2024-06-03
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; Pyranometer, EKO, MS-801, SN F87023, WRMC No. 16003; Pyranometer, EKO, MS-801, SN F95127, WRMC No. 16012; Pyrgeometer, Eppley, PIR, SN 29460F3, WRMC No. 16009; Pyrgeometer, Eppley, PIR, SN 30700F3, WRMC No. 16010; Pyrheliometer, Kipp & Zonen, CH1, SN 950093, WRMC No. 16011; Short-wave upward (REFLEX) radiation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 357638 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
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