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  • 1
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    Unknown
    In:  Utrecht Studies in Earth Sciences vol. 64
    Publication Date: 2024-06-04
    Description: Foraminifera are unicellular eukaryotic organisms that live individually autonomous in the sea (Hottinger, 2005). They form mechanically resistant tests, either by gluing material found in the environment or by secreting organic or calcareous shells. Along with the test, main characteristic of foraminifera are their pseudopodia emerging from the cell body through multiple apertures. Foraminifera are extremely abundant in marine sediments, which makes them useful in recent and fossil paleoenvironmental studies. The first simple forms of foraminifera appeared in Cambrian and since provide a long and well recorded evolutionary record throughout Paleozoic, Mesozoic and Cenozoic (BouDagher‐ Fadel, 2008). Based on life strategy, foraminifera are divided in two groups: benthic and planktonic foraminifera. Planktonic foraminifera passively float through the waters of open oceans moved by currents. Benthic foraminifera live on the sea floor; on the surface, buried into the sediment, or attached to plants, rocks or sediment particles. Based on their size and internal morphological structure benthic foraminifera can be divided into two groups; smaller and larger benthic foraminifera. The main criteria for identifying LBF is the complex internal structure which evolved to efficiently host photosymbionts, the key elements in the ecology of LBF. The symbiotic algae utilize the waste product of the foraminifera, allowing them to efficiently recycle of nutrients and to facilitate calcification (Ross, 1974; Leutenegger, 1984). This life strategy, LBF as a greenhouse, limits their occurrences to photic zone since algal symbionts are dependent on light for photosynthesis (Leutenegger, 1984). Besides light levels, the distribution and abundance of LBF is determined by relatively well‐known parameters, including hydrodynamic energy, water temperature, salinity, food availability and substrate type (Hottinger, 1983; Hohenegger, 1994; Renema, 2006). Therefore, the assemblage composition of fossil LBF can provide important and valuable data for paleoenvironmental reconstructions (Hallock and Glenn, 1986; Renema and Troelstra, 2001). Present day Southeast Asia represents the region that supports the most diverse marine ecosystems on Earth. The origin of this biodiversity is still unresolved, but it is proposed to be present at least since the Early Miocene (Renema et al., 2008). Therefore, the data acquired from the fossil assemblages may contribute to our understanding of this biodiversity hotspot. In this thesis Miocene LBF were investigated in order to provide new insights regarding their biostratigraphy and depositional paleonvironments of Indonesia. The focus of the research includes mixed carbonate‐siliciclastic (MCS) systems of the Kutai Basin in East Kalimantan. However, to provide a comparative model with the blue‐water systems (Wilson, 2012), the study also included localities from Bulu Formation with carbonate platform deposits in Central Java. Until recently, MCS systems were considered to be environments inhospitable for carbonate producers compared to the blue‐water marine systems, and hence were often neglected in biodiversity studies (Friedman, 1988). However, recent studies reveal high biodiversity in these turbid water settings, including corals (Santodomingo et al., in press), LBF (Novak and Renema, in press), algae (Rosler et al., in press), and bryozoans (Di Martino and Taylor, 2014). The Kutai Basin was a host for the development of numerous MCS systems, with a peak of their deposition during the Miocene (Wilson and Rosen, 1998; Wilson, 2005). Herein MCS systems are defined as in situ mixing (Mount, 1984) with the carbonate fraction consisting of autochthonous or parautochthonous death assemblages of calcareous organisms accumulated on or within siliciclastic substrates. In these systems LBF are important contributors to carbonate production, and combined with their high tolerance of terrigenous input, individually they are the most suitable taxa for paleoenvironmental reconstruction and interpretation in MCS systems (Lokier et al., 2009; Novak et al., 2013). By investigating LBF assemblages of Miocene MCS systems of the Kutai Basin by updating their biostratigraphy, providing environmental reconstructions, and comparing them with contemporaneous carbonate platform deposits, this research helps in untangling the origins of the Indo‐Pacific biodiversity hotspot.
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/doctoralThesis
    Format: application/pdf
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  • 2
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    PANGAEA
    In:  Supplement to: Checkley, David M; Dickson, Andrew G; Takahashi, Motomitsu; Radich, J Adam; Eisenkolb, Nadine; Asch, Rebecca (2009): Elevated CO2 enhances otolith growth in young fish. Science, 324(5935), 1683, https://doi.org/10.1126/science.1169806
    Publication Date: 2024-06-04
    Description: A large fraction of the carbon dioxide added to the atmosphere by human activity enters the sea, causing ocean acidification. We show that otoliths (aragonite ear bones) of young fish grown under high CO2 (low pH) conditions are larger than normal, contrary to expectation. We hypothesize that CO2 moves freely through the epithelium around the otoliths in young fish, accelerating otolith growth while the local pH is controlled. This is the converse of the effect commonly reported for structural biominerals.
    Keywords: Alkalinity, total; Animalia; Aragonite saturation state; Atractoscion nobilis; Atractoscion nobilis, dry mass; Atractoscion nobilis, larval age; Atractoscion nobilis, orientation; Atractoscion nobilis, otolith area; Behaviour; Bicarbonate ion; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Checkley_etal_09; Chordata; EPOCA; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; European Project on Ocean Acidification; EXP; Experiment; Experimental treatment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Image analysis NIH ImageJ; Laboratory experiment; Laboratory strains; Light:Dark cycle; Measured; Nekton; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Otolith; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Salinity; Single species; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 4392 data points
    Location Call Number Expected Availability
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  • 3
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    PANGAEA
    In:  Research School of Earth Sciences, The Australian National University, Canberra | Supplement to: Willmes, Malte; McMorrow, Linda; Kinsley, Les; Armstrong, R; Aubert, Maxime; Eggins, Stephen M; Falguères, Christophe; Maureille, Bruno; Moffat, Ian; Grün, R (2014): The IRHUM (Isotopic Reconstruction of Human Migration) database - bioavailable strontium isotope ratios for geochemical fingerprinting in France. Earth System Science Data, 6(1), 117-122, https://doi.org/10.5194/essd-6-117-2014
    Publication Date: 2024-06-04
    Description: The dataset consists of 87Sr/86Sr isotope ratios of plant samples and soil leachates covering the major geologic regions of France. In addition to the isotope data it provides the spatial context for each sample, including background geology, field observations and soil descriptions. The dataset can be used to create Sr isoscapes for France, which can be applied in a wide range of fields including archaeology, ecology, soil, food, and forensic sciences.
    Keywords: Age, comment; Age, maximum/old; Age, minimum/young; Area/locality; Comment; ELEVATION; Environment; Event label; F06(F)-001; F06(F)-002; F06(F)-004; F06(F)-006; F06(F)-008; F06(F)-012; F06(F)-016; F06(F)-018; F06(F)-021; F06(F)-023; F06(F)-024; F06(F)-025; F06(F)-027; F06(F)-033; F06(F)-034; F06(F)-035; F06(F)-037; F06(F)-038; F06(F)-040; F06-002; F06-003; F06-005; F06-007; F06-008; F06-009; F06-010; F06-011; F06-012; F06-014; F06-015; F06-016; F06-017; F06-019; F06-020; F06-023; F06-024; F06-026; F06-027; F06-029; F06-030; F06-031; F06-032; F06-033; F06-036; F06-037; F06-038; F06-040; F06-042; F06-043; F06-044; F06-045; F06-046; F06-047; F06-050; F06-051; F06-054; F06-055; F06-056; F06-057; F06-058; F06-059; F06-061; F06-062; F09-001; F09-002; F09-003; F09-004; F09-005; F09-006; F09-007; F09-008; F09-009; F09-010; F09-011; F09-012; F09-013; F09-014; F09-015; F09-016; F09-017; F09-018; F09-019; F09-020; F09-021; F09-022; F09-023; F09-024; F09-025; F09-026; F09-027; F09-028; F09-029; F09-030; F09-031; F09-032; F09-033; F09-034; F09-035; F09-036; F09-037; F09-038; F09-039; F09-040; F09-041; F09-042; F09-043; F09-044; F09-045; F09-046; F09-047; F09-048; F09-049; F09-050; F09-051; F09-052; F09-053; F09-054; F09-055; F09-056; F09-057; F09-058; F09-060; F09-061; F09-062; F09-063; F09-064; F09-065; F09-066; F09-067; F09-068; F09-069; F09-070; F09-071; F09-072; F09-073; F09-074; F09-075; F09-076; F09-077; F09-078; F09-079; F09-080; F09-081; F09-082; F09-083; F09-084; F09-085; F09-086; F09-087; F09-088; F09-089; F09-090; F09-091; F09-092; F09-093; F09-094; F09-095; F09-096; F09-097; F09-098; F09-099; F09-100; F09-101; F09-102; F09-103; F09-104; F09-105; F09-106; F09-107; F09-108; F09-109; F09-110; F09-111; F09-112; F09-113; F09-114; F09-115; F09-116; F09-117; F09-118; F11-001; F11-002; F11-003; F11-004; F11-005; F11-006; F11-007; F11-008; F11-009; F11-010; F11-011; F11-012; F11-013; F11-014; F11-015; F11-016; F11-017; F11-018; F11-019; F11-020; F11-021; F11-022; F11-023; F11-024; F11-025; F11-026; F11-027; F11-028; F11-029; F11-030; F11-031; F11-032; F11-033; F11-034; F11-035; F11-036; F11-037; F11-038; F11-039; F11-040; F11-041; F11-042; F11-043; F11-044; F11-045; F11-046; F11-047; F11-048; F11-049; F11-050; F11-051; F11-052; F11-053; F11-054; F11-055; F11-056; F11-057; F11-058; F11-059; F11-060; F11-061; F11-062; F11-063; F11-064; F11-065; F11-066; F11-067; F11-068; F11-069; F11-070; F11-071; F11-072; F11-073; F11-074; F11-075; F11-076; F11-077; F11-078; F11-079; F11-080; F11-081; F11-082; F11-083; F11-084; F11-085; F11-086; F11-087; F11-088; F11-089; F11-090; F11-091; F11-092; F11-093; F11-094; F11-095; F11-096; F11-097; F11-099; F11-100; F11-101; F11-102; F11-103; F11-104; F11-105; F11-106; F11-107; F11-108; F11-109; F11-110; F11-111; F11-112; F11-113; F11-114; F11-115; F11-116; F11-117; F11-118; F11-119; F11-120; F11-121; F11-122; F11-123; F11-124; F11-125; F11-126; F11-127; F11-128; F11-129; F11-130; F11-131; F11-132; F11-133; F11-134; F11-135; F11-136; F11-137; F11-138; F11-139; F11-140; F11-141; F11-142; F11-143; F11-144; F11-145; F11-146; F11-147; F11-148; F11-149; F11-150; F11-151; F11-152; F11-153; F11-154; F11-155; F11-156; F11-157; F11-158; F11-159; F11-160; F11-161; F11-162; F11-163; F11-164; F11-165; F11-166; F11-167; F11-168; F11-169; F11-170; F11-171; F11-172; F11-173; F11-174; F11-175; F11-176; F11-178; F11-179; F11-180; F11-181; F11-182; F11-183; F11-184; F11-185; F11-186; F11-187; F11-188; F11-189; F11-190; F11-191; F11-192; F11-193; F11-194; F11-195; F11-196; F11-197; F11-198; F12-001; F12-002; F12-003; F12-004; F12-005; F12-006; F12-007; F12-008; F12-009; F12-010; F12-011; F12-012; F12-013; F12-014; F12-015; F12-016; F12-017; F12-018; F12-019; F12-020; F12-021; F12-022; F12-023; F12-024; F12-025; F12-026; F12-027; F12-028; F12-029; F12-030; F12-031; F12-032; F12-033; F12-034; F12-035; F12-036; F12-037; F12-038; F12-039; F12-040; F12-041; F12-042; F12-044; F12-045; F12-046; F12-047; F12-048; F12-049; F12-050; F12-051; F12-052; F12-053; F12-054; F12-055; F12-056; F12-057; F12-058; F12-060; F12-061; F12-062; F12-063; F12-064; F12-065; F12-066; F12-067; F12-068; F12-069; F12-070; F12-071; F12-072; F12-073; F12-074; F12-075; F12-076; F12-077; F12-078; F12-079; F12-080; F12-081; F12-082; F12-083; F12-084; F12-085; F12-086; F12-087; F12-088; F12-089; F12-090; F12-091; F12-092; F12-093; F12-094; F12-095; F12-096; F12-097; F12-098; F12-099; F12-100; F12-101; F12-102; F12-103; F12-104; F12-105; F12-106; F12-107; F12-108; F12-109; F12-110; F12-111; F12-112; F12-113; F12-114; F12-115; F12-116; F12-117; F12-118; F12-119; F12-120; F12-121; F12-122; F12-123; F12-124; F12-125; F12-126; F12-127; F12-128; F12-129; F12-130; F12-131; F12-132; F12-133; F12-134; F12-135; F12-136; F12-137; F12-138; F12-139; F12-140; F12-141; F12-142; F12-143; F12-144; F12-145; F12-146; F12-147; F12-148; F12-149; F12-150; F12-151; F12-153; F12-154; F12-155; F12-156; F12-157; F12-158; F12-159; F12-160; F12-161; F12-162; F12-163; F12-164; F12-165; F12-166; F12-167; F12-168; F12-169; F12-170; F12-171; F12-172; F12-173; F12-174; F12-175; F12-176; F12-177; F12-178; F12-179; F12-180; F12-181; F12-182; F12-183; F12-184; F12-185; F12-186; F12-187; F12-188; F12-189; F12-190; F12-191; F12-192; F12-193; F12-194; F12-195; F12-196; F12-197; F12-198; F12-199; F12-200; F12-201; F12-202; F12-203; F12-204; F12-205; F12-206; F12-207; F12-208; F12-209; F12-210; F12-211; F12-212; F12-213; F12-214; F12-215; F12-216; F12-217; F12-218; F12-219; F12-220; F12-221; F12-222; F12-223; F12-224; F12-225; F12-226; F12-227; F12-228; F12-229; F12-230; F12-231; F12-232; F12-233; F12-234; F12-235; F12-236; F12-237; F12-238; F13-001; F13-002; F13-003; F13-004; F13-005; F13-006; F13-007; F13-008; F13-009; F13-010; F13-011; F13-012; F13-013; F13-014; F13-015; F13-016; F13-017; F13-018; F13-019; F13-020; F13-021; F13-022; F13-023; F13-024; F13-025; F13-026; F13-027; F13-028; F13-029; F13-030; F13-031; F13-032; F13-033; F13-034; F13-035; F13-036; F13-037; F13-038; F13-039; F13-040; F13-042; F13-043; F13-044; F13-045; F13-046; F13-047; F13-048; F13-049; F13-051; F13-052; F13-053; F13-054; F13-055; F13-056; F13-057; F13-058; F13-059; F13-060; F13-061; F13-062; F13-063; F13-064; F13-065; F13-066; F13-067; F13-068; F13-069; F13-070; F13-071; F13-072; F13-073; F13-074; F13-075; F13-076; F13-077; F13-078; F13-079; F13-080; F13-081; F13-082; F13-084; F13-085; F13-086; F13-087; F13-088; F13-089; F13-090; F13-092; F13-093; F13-094; F13-095; F13-096; F13-097; F13-098; F13-099; F13-100; F13-101; F13-102; F13-103; F13-104; F13-105; F13-106; F13-107; F13-108; F13-109; F13-110; F13-111; F13-112; F13-113; F13-114; F13-115; F13-116; F13-117; F13-118; F13-119; F13-120; F13-121; F13-122; F13-123; F13-124; F13-125; F13-126; F13-127; F13-129; F13-130; F13-131; F13-132; F13-133; F13-134; F13-135; F13-136; F13-137; F13-138; F13-139; F13-140; F13-141; F13-142; F13-143; F13-144; F13-145; F13-146; F13-147; F13-148; F13-149; F13-150; F13-151; F13-152; F13-153; F13-154; F13-155; F13-156; F13-157; F13-158; F13-159; F13-160; F13-161; F13-162; F13-163; F13-164; F13-165; F13-166; F13-167; F13-168; F13-169; F13-170; F13-171; F13-172; F13-173; F13-174; F13-175; F13-176; F13-177; F13-178; F13-179; F13-180; F13-181; F13-182; F13-183; F13-184; F13-185; F13-186; F13-187; F13-188; F13-189; F13-190; F13-191; F13-192; F13-193; F13-194; F13-195; F13-196; F13-197; F13-198; F13-199; F13-200; F13-201; F13-202; F13-203; F13-204; F13-205; F13-206; F13-207; F13-208; F13-209; F13-210; F13-211; F13-212; F13-213; F13-214; F13-215; F13-216; F13-217; F13-218; F13-219; F13-220; F13-221; F13-222; F13-223; F13-224; F13-225; F13-226; F13-227; F13-228; France; HAND; Latitude of event; Lithologic unit/sequence; Longitude of event; Name; Observation; Outcrop ID; Rock type; Sample comment; Sample type; Sampling by hand; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, error
    Type: Dataset
    Format: text/tab-separated-values, 15675 data points
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  • 4
    Publication Date: 2024-06-04
    Keywords: Calculated average/mean values; ChRM, Declination; ChRM, Inclination; ChRM, Polarity; Comment; Geological profile sampling; GEOPRO; Horizon; Kulyumbe river, Siberia, Russia; Kulyumbe-section; Outcrop ID; POINT DISTANCE from start; Sample code/label; δ13C; δ18O
    Type: Dataset
    Format: text/tab-separated-values, 9284 data points
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  • 5
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    PANGAEA
    In:  Institute of Geology, Komi Scientific Cener, Ural Division, Russian Academy of Sciences
    Publication Date: 2024-06-04
    Keywords: Archive of Ocean Data; ARCOD; Bolshezemelskaya Tundra; Event label; Horizon; Latitude of event; Limestone; Longitude of event; Metamorphite; Outcrop ID; Quartzite; ShRV-1; ShRV-10; ShRV-11; ShRV-12; ShRV-13; ShRV-2; ShRV-3; ShRV-4; ShRV-6; ShRV-7; ShRV-8; Terrigenous
    Type: Dataset
    Format: text/tab-separated-values, 144 data points
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  • 6
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    PANGAEA
    In:  Institute of Geology, Komi Scientific Cener, Ural Division, Russian Academy of Sciences
    Publication Date: 2024-06-04
    Keywords: Amphibole; Apatite; Archive of Ocean Data; ARCOD; Bolshezemelskaya Tundra; Counting, Stereo Microscope; Epidote; Event label; Garnet; Heavy minerals; Hematite, Fe2O3; Horizon; Ilmenite; Kyanite; Latitude of event; Leucoxene; Limonite; Longitude of event; Magnetite; Minerals; Outcrop ID; Pyrite, FeS2; Pyroxene; Rutile; Separation with use of heavy (2.9) liquid; ShRV-10; ShRV-11; ShRV-13; ShRV-4; ShRV-7; ShRV-9; Siderite; Staurolite; Titanite; Titanium minerals; Tourmaline; Zircon
    Type: Dataset
    Format: text/tab-separated-values, 138 data points
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  • 7
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    PANGAEA
    In:  Institute of Geology, Komi Scientific Cener, Ural Division, Russian Academy of Sciences
    Publication Date: 2024-06-04
    Keywords: Amphibole; Apatite; Archive of Ocean Data; ARCOD; Bolshezemelskaya Tundra; Counting, Stereo Microscope; Epidote; Event label; Garnet; Heavy minerals; Hematite, Fe2O3; Ilmenite; Kyanite; Latitude of event; Limonite; Longitude of event; Magnetite; Minerals; Outcrop ID; Pyrite, FeS2; Pyroxene; Rock type; Rutile; Separation with use of heavy (2.9) liquid; ShRV-13; ShRV-6; ShRV-7; Siderite; Sillimanite; Staurolite; Titanite; Titanium minerals; Tourmaline; Zircon
    Type: Dataset
    Format: text/tab-separated-values, 115 data points
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  • 8
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    PANGAEA
    In:  Institute of Geology, Komi Scientific Cener, Ural Division, Russian Academy of Sciences
    Publication Date: 2024-06-04
    Keywords: Amphibole; Apatite; Archive of Ocean Data; ARCOD; Bolshezemelskaya Tundra; Counting, Stereo Microscope; Epidote; Event label; Facies name/code; Garnet; Heavy minerals; Hematite, Fe2O3; Ilmenite; Kyanite; Latitude of event; Limonite; Longitude of event; Magnetite; Minerals; Outcrop ID; Pyrite, FeS2; Pyroxene; Rutile; Separation with use of heavy (2.9) liquid; ShRV-12; ShRV-13; ShRV-4; ShRV-9; Siderite; Sillimanite; Staurolite; Titanite; Titanium minerals; Tourmaline; Zircon
    Type: Dataset
    Format: text/tab-separated-values, 161 data points
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  • 9
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    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Publication Date: 2024-06-03
    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; Japan; 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; Pyranometer, Kipp & Zonen, CM21, SN 950236, WRMC No. 16017; Pyranometer, Kipp & Zonen, CM21, SN 960330, WRMC No. 16013; Pyranometer, Kipp & Zonen, CM21, SN 960331, WRMC No. 16014; Pyrgeometer, Eppley, PIR, SN 28849F3, WRMC No. 16008; Pyrgeometer, Eppley, PIR, SN 31239F3, WRMC No. 16016; Pyrheliometer, Kipp & Zonen, CH1, SN 950093, WRMC No. 16011; 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; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 907580 data points
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  • 10
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    Unknown
    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Publication Date: 2024-06-03
    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; Japan; 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; Pyranometer, Kipp & Zonen, CM21, SN 950236, WRMC No. 16017; Pyranometer, Kipp & Zonen, CM21, SN 960330, WRMC No. 16013; Pyranometer, Kipp & Zonen, CM21, SN 960331, WRMC No. 16014; Pyrgeometer, Eppley, PIR, SN 28849F3, WRMC No. 16008; Pyrgeometer, Eppley, PIR, SN 31239F3, WRMC No. 16016; Pyrheliometer, Kipp & Zonen, CH1, SN 950093, WRMC No. 16011; 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; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1061324 data points
    Location Call Number Expected Availability
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