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  • 1
    Publication Date: 2024-01-30
    Description: The ability to use data produced by different sources (social networks, governments, weather sensors etc.) is widely recognized as a key to capitalize the value of data. In the scientific field, such usage may incredibly boost the innovation and foster new discoveries. However, one of the main hurdles is currently represented by the difficulties in achieving the required interoperability to provide integrated access to multi-disciplinary data. The current work presents a metadata-driven approach that uses in a combined way metadata, semantics, and services as key components for providing integrated access to heterogeneous data sources. The integration occurs within a central data integration system, which is driven by a rich metadata catalogue and that can present the data provided by the different data sources in a harmonised way to the end user, by means of RESTful APIs. A real application demonstrating metadata-driven semantic and service interoperability for achieving homogeneous access to multi-disciplinary heterogeneous data sources is illustrated in the case of EPOS, a Research Infrastructure for Solid Earth Science. The advantages in terms of ease of maintenance, of flexibility in plugging different standard without perturbating communities’ long-lasting technical practices, and of ability to track provenance are discussed. Future work for providing open-source implementation of a system built following the proposed approach is also envisaged.
    Description: Published
    Description: 235–247
    Description: OST5 Verso un nuovo Monitoraggio
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: book chapter
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  • 2
    Publication Date: 2024-01-30
    Description: The Shapes Constraint Language (SHACL) has been recently introduced as a W3C recommendation to define constraints for validating RDF graphs. In this paper a novel SHACL-driven multi-view editor is presented: SHAPEness. It empowers users by offering them a rich interface for assessing and improving the quality of metadata represented as RDF graphs. SHAPEness has been developed and tested in the framework of the European Plate Observing System (EPOS). In this context, the SHAPEness features have proven to be a valuable solution to easily create and maintain valid graphs according to the EPOS data model. The SHACL-driven approach underpinning SHAPEness, makes this tool suitable for a broad range of domains, or use cases, which structure their knowledge by means of SHACL constraints.
    Description: Published
    Description: 274–288
    Description: OST5 Verso un nuovo Monitoraggio
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: book chapter
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  • 3
    Publication Date: 2024-02-01
    Description: The ability to predict the mobility of rock avalanches is necessary when designing strategies to mitigate the risks they pose. A popular mobility indicator of the flow front is the Heim’s apparent friction coefficient muH. In the field, muH shows a decrease in value as flow volume V increases. But this correlation has been a mystery as to whether it is due to a causal relationship between V and mobility since: (1) field data of muH do not collapse onto a single curve because typically widely scattered and (2) laboratory experiments have shown an opposite volume effect on the center of mass mobility of miniature flows. My numerical simulations confirm for the first time the existence of a functional relationship of scaling parameters where muH decreases as V increases in unsteady and nonuniform 3D flows. Data scatter is caused by muH that is affected by numerous other variables besides V. The interplay of these variables produces different granular regimes with opposite volume effects. In particular, muH decreases as V increases in the regime characterized by a relatively rough subsurface. The relationship holds for large-scale flows that, like rock avalanches, consist of a very large number of fine clasts traveling in wide channels. In these dense flows, flow front mobility increases as flow volume increases, as channel width increases, as grain size decreases, as basal friction decreases and as flow scale increases. Larger-scale flows are more mobile because they have larger Froude number values.
    Description: In press
    Description: OSV1: Verso la previsione dei fenomeni vulcanici pericolosi
    Description: JCR Journal
    Keywords: Pyroclastic Flows ; Rock Avalanches ; Flow Front ; Mobility
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 4
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    Springer
    In:  EPIC3Springer, 24 p., pp. 281-304, ISBN: 9783031455537
    Publication Date: 2024-01-08
    Description: Calving of iceberg at ice shelves and floating glacier tongues is a poorly understood process, hence a physically motivated calving law is not yet existing. The demands on developing appropriate models for calving is large, as calving rates are needed for large scale ice sheet models that simulate the evolution of ice sheets. Here, we present a new approach for simulating fracture in ice. Our model is based on a finite strain theory for a viscoelastic Maxwell material, as the large simulation time leads to high strains. The fracturing process is simulated using a fracture phase field model that takes into account the elastic strain energy. We conduct simulations for a typical calving front geometry, with ice rises governing the formation of cracks. To represent the stress state adequately, we first conduct a spin-up to allow the viscous contribution to develop before the fracture phase field is computed. The analysis comprises the assessment of the crack path in comparison to observations, the influence of the spin-up, as well as elastic versus viscous strain contributions based on Hencky strain. Additionally, an estimate of released energy based on high resolution optical imagery of a Greenlandic calving front is presented.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Inbook , peerRev
    Format: application/pdf
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  • 5
    Publication Date: 2024-03-12
    Description: We have provided the first estimate of scat- tering and intrinsic attenuation for the Gargano Prom- ontory (Southern Italy) analyzing 190 local earthquakes with M L ranging from 1.0 to 2.8. To separate the intrin- sic Q i and scattering Q s quality factors with the Wen- nerberg approach (1993), we have measured the direct S waves and coda quality factors ( Q 𝛽 , Q c ) in the same volume of crust. Q 𝛽 parameter is derived with the coda normalization method (Aki 1980) and Q c factor is derived with the coda envelope decay method (Sato 1977). We selected the coda envelope by performing an automatic picking procedure from T start = 1.5T S up to 30 s after origin time (lapse time T L ). All the obtained quality factors clearly increase with frequency. The Q c values correspond to those recently obtained for the area. The estimated Q i are comparable to the Q c at all frequencies and range between 100 and 1000. The Q s parameter shows higher values than Q i , except for 8 Hz, where the two estimates are closer. This implies a pre- dominance of intrinsic attenuation over the scattering attenuation. Furthermore, the similarity between Q i and Q c allows us to interpret the high Q c anomaly previ- ously found in the northern Gargano Promontory up to a depth of 24 km, as a volume of crust characterized by very low seismic dumping produced by conversion of seismic energy into heat. Moreover, most of the earth- quake foci fall in high Q i areas, indicating lower level of anelastic dumping and a brittle behavior of rocks.
    Description: Published
    Description: 827-846
    Description: OST1 Alla ricerca dei Motori Geodinamici
    Description: JCR Journal
    Keywords: Seismic attenuation · Coda normalization method · Intrinsic quality factor · Scattering quality factor · Southern Italy · Gargano Promontory · OTRIONS seismic network ; 04.06. Seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 6
    Publication Date: 2024-01-10
    Description: This data set integrates findings of 16 years (2005 to 2020) of collaborative monitoring efforts across multiple institutions in the Gulf of California.The data encompasses information of 13 species of marine herbivorous fishes belonging to five families: Acanthuridae, Girellidae, Kyphosidae, Pomacentridae and Scaridae. This database presents 884 records of biomass from 15,542 visual censuses assessed by scuba diving in 34 localities (comprising 268 rocky and coral reefs sites). Visual censuses consisted of belt transects (250 m2, 100 m2, and 60 m2) laid parallel to the coastline preserving a similar depth profiles. Along these transects, trained underwater monitors, identified the species, recorded the abundance of all the adult individuals of the 13 targeted species and visually estimated the total length (cm) of each fish. The information for each transect in the database, is presented as the biomass (grams per square meter), which was estimated based on the size per individual as well as the weight-length relationship for each species, available on the literature. In the database is also integrated the information of the latitude and longitude of each locality, type of management, localities in the Gulf of California, institutions, the initial and final year of data, total number of years, as well as the mean, standard deviation, sample size, slope (annual rate of change), probability value, standard error and minimum and maximum value calculated for each species within each locality. This dataset represents a historical reference point for the condition of the 13 species found in the Gulf of California. It can be used to perform evaluations of how herbivorous fish communities have changed over time and across different locations. This is particularly relevant due to the influence of global changes leading to tropicalization in the study area. Furthermore, this information holds significance as it supplies essential insights to those responsible for the management of protected zones in the Gulf and the broader eastern tropical Pacific region. communities have changed over time and across different locations. This is particularly relevant due to the influence of global changes leading to tropicalization in the study area. Furthermore, this information holds significance as it supplies essential insights to those responsible for the management of protected zones in the Gulf and the broader eastern tropical Pacific region.
    Keywords: Abundance; Activity description; Area/locality; Biomass; Calculated; density; Estimated; Event label; Family; GOC_Loc_1; GOC_Loc_10; GOC_Loc_11; GOC_Loc_12; GOC_Loc_13; GOC_Loc_14; GOC_Loc_15; GOC_Loc_16; GOC_Loc_17; GOC_Loc_18; GOC_Loc_19; GOC_Loc_2; GOC_Loc_20; GOC_Loc_21; GOC_Loc_22; GOC_Loc_23; GOC_Loc_24; GOC_Loc_25; GOC_Loc_26; GOC_Loc_27; GOC_Loc_28; GOC_Loc_29; GOC_Loc_3; GOC_Loc_30; GOC_Loc_31; GOC_Loc_32; GOC_Loc_33; GOC_Loc_34; GOC_Loc_4; GOC_Loc_5; GOC_Loc_6; GOC_Loc_7; GOC_Loc_8; GOC_Loc_9; Gulf of California; Herbivorous; Identification; Institution; Latitude of event; Longitude of event; Monitoring; Number of samples; Number of years; Probability; Probability, standard error; Rocky and coral reefs; SCUBA-DIVE; Slope; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Standard deviation; Year of observation; Zone
    Type: Dataset
    Format: text/tab-separated-values, 7849 data points
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  • 7
    Publication Date: 2024-01-10
    Description: Through collaborative monitoring involving multiple academic, government, and civil institutions over a span of 16 years (2005 to 2020), we compiled 884 records of the density of 13 species of marine herbivorous fishes. The data was collected through 15,542 visual censuses conducted by scuba diving in 34 localities, encompassing 268 rocky and coral reef sites. These censuses utilized belt transects (250 m², 100 m², and 60 m²) parallel to the coastline at similar depth profiles. Trained underwater monitors recorded abundances of all adult individuals of the 13 targeted species along the transects. The information for each transect in the database is presented as the average fish density (individuals per square meter), estimated based on the abundance for each species. The database integrates information on latitude, longitude, type of management, localities in the Gulf of California, institutions, initial and final years of data collection, total number of years, as well as mean, standard deviation, sample size, slope (annual rate of change), probability value, standard error, and minimum and maximum values calculated for each species within each locality. This dataset serves as a historical benchmark for assessing the status of 13 species in the Gulf of California. It enables the examination of changes in herbivorous fish communities over time and across various locations, which is crucial given the impact of global changes leading to tropicalization in the study area. The data is particularly important for providing valuable insights to those managing protected areas in the Gulf and the broader eastern tropical Pacific region.
    Keywords: Abundance; Activity description; Area/locality; Calculated; density; Estimated; Event label; Family; GOC_Loc_1; GOC_Loc_10; GOC_Loc_11; GOC_Loc_12; GOC_Loc_13; GOC_Loc_14; GOC_Loc_15; GOC_Loc_16; GOC_Loc_17; GOC_Loc_18; GOC_Loc_19; GOC_Loc_2; GOC_Loc_20; GOC_Loc_21; GOC_Loc_22; GOC_Loc_23; GOC_Loc_24; GOC_Loc_25; GOC_Loc_26; GOC_Loc_27; GOC_Loc_28; GOC_Loc_29; GOC_Loc_3; GOC_Loc_30; GOC_Loc_31; GOC_Loc_32; GOC_Loc_33; GOC_Loc_34; GOC_Loc_4; GOC_Loc_5; GOC_Loc_6; GOC_Loc_7; GOC_Loc_8; GOC_Loc_9; Gulf of California; Herbivorous; Identification; Individuals per area; Institution; Latitude of event; Longitude of event; Monitoring; Number of samples; Number of years; Probability; Probability, standard error; Rocky and coral reefs; SCUBA-DIVE; Slope; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Standard deviation; Year of observation; Zone
    Type: Dataset
    Format: text/tab-separated-values, 7849 data points
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  • 8
    Publication Date: 2024-01-03
    Description: A newly developed method to derive melt pond bathymetry from aerial images allowed us to compile spatially fully resolved maps of pond depth on the MOSAiC floe from three measurement flights on 30 June, 17 July, and 22 July 2020. The pond bathymetry maps provide an unprecedented comprehensive insight into the spatial and temporal development of ponds and their geometry. They were derived to better understand pond evolution, determine the volume of water contained in the ponds, and eventually obtain improved parameterizations for ponds. The data is provided in GeoTIFF raster format, with every pixel in ponds containing the depth at that location in meters, downward negative. Pond bathymetry was calculated from orthomosaics and digital elevation models processed from helicopter aerial images collected on MOSAiC floe grid surveys. Pond bathymetry is stored in GeoTIFFs, containing pond depth in meters, in the negative downward direction. Only regions classified as ponds with the classification algorithm PASTA-ice are included. Some pond-like objects on the floe were classified as submerged ice/open water due to their visual appearance or connection to the floe edge and are therefore not included. The raster data is projected in WGS 84 / NSIDC Sea Ice Polar Stereographic North (EPSG:3413). It was derived from the orthomosaics and DEMs presented in doi:10.1594/PANGAEA.949433 and can therefore be overlaid directly with this data.
    Keywords: Aerial Images; Arctic Ocean; DATE/TIME; Event label; HELI; Helicopter; melt pond; melt pond depth; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Photogrammetry; Polarstern; pond bathymetry; PS122_4_45_36_2020063001; PS122_4_47_96_2020071701; PS122_4_48_69_2020072201; PS122/4; PS122/4_45-36; PS122/4_47-96; PS122/4_48-69; Raster graphic, GeoTIFF format; Raster graphic, GeoTIFF format (File Size); Sea ice
    Type: Dataset
    Format: text/tab-separated-values, 3 data points
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  • 9
    Publication Date: 2024-01-03
    Keywords: AGE; Antarctic Circumpolar Current; Clay; DEPTH, sediment/rock; Diatoms; Giant piston corer (Calypso); GPC-C; Grain size, Mastersizer S, Malvern Instrument Inc.; magnetic parameters; Marion Dufresne (1995); MD12-3401; MD128; mineralogic parameters; Silt; Summer sea surface temperature; SWAF
    Type: Dataset
    Format: text/tab-separated-values, 498 data points
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  • 10
    Publication Date: 2024-01-03
    Keywords: AGE; Anhysteretic susceptibility/magnetic susceptibility; Antarctic Circumpolar Current; Cryogenic magnetometer, 2G Enterprises; DEPTH, sediment/rock; Giant piston corer (Calypso); GPC-C; magnetic parameters; Magnetic susceptibility; Marion Dufresne (1995); MD12-3401; MD128; mineralogic parameters; Summer sea surface temperature; SWAF
    Type: Dataset
    Format: text/tab-separated-values, 320 data points
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  • 11
    Publication Date: 2024-01-03
    Keywords: AGE; Antarctic Circumpolar Current; calculated, 1 sigma; DEPTH, sediment/rock; Giant piston corer (Calypso); GPC-C; magnetic parameters; Marion Dufresne (1995); MD12-3401; MD128; mineralogic parameters; Reconstructed from the percentage of Neogloboquadrina pachyderma sinistral; Reconstructed from the percentage of planktic foraminifera; Sea surface temperature, summer; Sea surface temperature, summer, standard deviation; Summer sea surface temperature; SWAF
    Type: Dataset
    Format: text/tab-separated-values, 186 data points
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  • 12
    Publication Date: 2024-01-04
    Description: Concentrations of particulate and dissolved organic carbon from water samples collected throughout the ice-free season in the Lena River Delta, supplemented with samples from Central Siberian Rivers Kochechum and Nizhnyaya Tunguska. Particulate samples were obtained by filtering water through pre-combusted glass-fibre filters, dissolved organic matter was studied in the filtrate. Molar concentration ratios of organic carbon to nitrogen in particulate samples are additionally reported as well as stable carbon isotopic composition (δ13C in ‰ VPDB) and radiocarbon content (∆14C in ‰) of particulate and dissolved organic carbon.
    Keywords: AWI Arctic Land Expedition; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon, organic, particulate/Nitrogen, particulate ratio; CARBOPERM; Comment; Cruise/expedition; d13C; D14C; DATE/TIME; DEPTH, water; DOC; Event label; Formation, turnover and release of carbon in Siberian permafrost landscapes; Kochechum_River; Kochechum River; L10-05; L10-10; L11-06; L11-08/09; L11-10/11; L11-12/13; L11-14/15; L14-01; L14-03; L14-05; L14-06; L14-07; L14-14; L14-16; L14-17; L14-18; L14-19; L14-22; L14-27; L14-29; L14-K1; L14-K2; L14-K3; L14-K4; Laboratory code/label; LATITUDE; Lena2010; Lena2011; LONGITUDE; N_Tunguska_River; Nizhnyaya Tunguska River at Tura; POC; Reference/source; RU-Land_2010_Lena; RU-Land_2010_Lena-L10-05; RU-Land_2010_Lena-L10-10; RU-Land_2011_Lena; RU-Land_2011_Lena-L11-06; RU-Land_2011_Lena-L11-08/09; RU-Land_2011_Lena-L11-10/11; RU-Land_2011_Lena-L11-12/13; RU-Land_2011_Lena-L11-14/15; RU-Land_2014_Lena; RU-Land_2014_Lena-L14-01; RU-Land_2014_Lena-L14-03; RU-Land_2014_Lena-L14-05; RU-Land_2014_Lena-L14-06; RU-Land_2014_Lena-L14-07; RU-Land_2014_Lena-L14-14; RU-Land_2014_Lena-L14-16; RU-Land_2014_Lena-L14-17; RU-Land_2014_Lena-L14-18; RU-Land_2014_Lena-L14-19; RU-Land_2014_Lena-L14-22; RU-Land_2014_Lena-L14-27; RU-Land_2014_Lena-L14-29; RU-Land_2014_Lena-L14-K1; RU-Land_2014_Lena-L14-K2; RU-Land_2014_Lena-L14-K3; RU-Land_2014_Lena-L14-K4; Sample ID; Water sample; WS; Δ14C, dissolved organic carbon; Δ14C, particulate organic carbon; Δ14C, particulate organic carbon, standard deviation; Δ14C, standard deviation; δ13C, dissolved organic carbon; δ13C, dissolved organic carbon, standard deviation; δ13C, particulate organic carbon; δ13C, particulate organic carbon, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 411 data points
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  • 13
    Publication Date: 2024-01-04
    Description: This data set consists of isotopic and molecular information obtained from samples of particulate and dissolved organic matter collected throughout the ice-free season in the Lena River Delta, supplemented with samples from Central Siberian Rivers Kochechum and Nizhnyaya Tunguska. Particulate samples were obtained by filtering water through pre-combusted glass-fibre filters, dissolved organic matter was studied in the filtrate. Molar concentration ratios of organic carbon to nitrogen in particulate samples are additionally reported as well as stable carbon isotopic composition (δ13C in ‰ VPDB) and radiocarbon content (∆14C in ‰) of particulate and dissolved organic carbon. Concentrations of long-chain n-alkanes (n-C17 to n-C33) in suspended particulate matter samples collected on glass-fibre filters in the Lena Delta. The data set also contains stable hydrogen isotopic composition (δD) of odd-chain n-alkanes n-C23 to n-C31 expressed in permille relative to VSMOW. Contents of long-chain n-alkanes (n-C17 to n-C33) in soil samples as well as particles settled from a large-volume water sample collected in the Lena Delta. The data set also contains stable hydrogen isotopic composition (δD) of odd-chain n-alkanes n-C23 to n-C31 expressed in permille relative to VSMOW.
    Keywords: Biomarkers; CARBOPERM; d13C; D14C; DOC; Formation, turnover and release of carbon in Siberian permafrost landscapes; POC
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    Format: application/zip, 3 datasets
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  • 14
    Publication Date: 2024-01-31
    Description: Here we present paleo-environmental datasets derived from early Eocene sedimentary strata in the Xining Basin, China. The sedimentary rocks were formed in a terrestrial alluvial mudflat environment and the datasets include: 1) Pollen counts, 2) Bulk rock organic carbon content and δ13C values, 3) Plant wax compound specific (C27-C33) δ13C values, 4) Bulk mineralogy X-Ray Diffraction (XRD) data and 5) Carbonate (pedogenic and vadose-grown) δ13C and δ18O values as well as clumped isotopes (∆47 values). The latter also includes temperature reconstructions derived from the ∆47 values and soil water δ18O reconstructions derived from these temperatures and the carbonate δ18O values. Individual clumped isotope measurements of sample and standard replicates are shown in: 6) Clumped isotope replicate analyses. Samples were collected during four field campaigns in 2015, 2016, 2017 and 2018 and analyzed as part of the MAGIC project (ERC 649081) and the VeWA consortium by the LOEWE programme of the Hessen Ministry of Higher Education, Research and Arts, Germany. Samples were collected from the following outcrop sections: Bingling Shan (36.45°N, 101.98°E, 2360 m elevation), Caijia (36.62°N, 101.98°E, 2480 m elevation), Dazhai (36.44°N, 102.02°E, 2440 m elevation), East Xining (36.58°N, 101.90°E, 2285 m elevation ), Ledu (36.43°N, 102.38°E, ) and Xiejia (36.52°N, 101.87°E, 2450 m elevation).
    Keywords: Bulk organic geochemistry; Clumped isotope thermometry; palynology; pedogenic carbonate; Plant wax; stable isotope geochemistry; XRD
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    Format: application/zip, 6 datasets
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  • 15
    Publication Date: 2024-01-31
    Description: This dataset presents relative abundance data of subfossil cladoceran remains obtained from sediment cores retrieved from six lakes at Sierra Nevada Mountains (Granada, Spain) during 2008 and 2011. The files show data over the past 180 years approximately. Sediment cores were taken from the deepest part of the lake by a slide-hammer gravity corer (Aquatic Research Instruments, USA), with a 6.9 cm inner diameter during the summer of 2011, except for Río Seco Lake core which was sampled in 2008. The cores were sectioned on-site into 0.25 cm thick layers for the upper sections of the cores and into 0.5 cm intervals for the remainder of the cores, except for Río Seco Lake core which was sectioned at 0.5 cm contiguous intervals for the entire core length. Sediment cores were dated using gamma spectrometry (DSPec, Ortec®) techniques by measuring activities of radioisotopes (210Pb, 214Bi and 137Cs) and sediment ages were estimated from unsupported 210Pb activities using the constant rate of supply (CRS) model. Cladoceran samples were processed by heating them in 10% KOH and sieved through a 38 µm mesh. The samples were mounted onto microscope slides using glycerol gelatin dyed with safranin. A minimum of 200 remains were identified and enumerated from each sediment interval under a light microscope at 200x magnification.
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 16
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-01-31
    Description: Raw data acquired by GPS1 position sensors on board research aircraft Polar 5 during the campaign P5_242_IceBird_Summer_2023 were processed to receive a validated master track which can be used as reference of further expedition data. Novatel FlexPak6 GPS receiver was used as navigation sensors during the campaign. 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 and a generalized track with a reduced set of the most significant positions of the master track. A detailed report on processing is also available for each flight.
    Type: Dataset
    Format: application/zip, 14 datasets
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  • 17
    Publication Date: 2024-01-31
    Keywords: Age; AGE; Alona elegans; Alona quadrangularis; Bosmina longispina; Chydorus sphaericus; Counting 〉38 µm fraction; DEPTH, sediment/rock; Lake Mosca, Sierra Nevada, Spain; Mosca_2011; Sample code/label; Slide-hammer gravity corer
    Type: Dataset
    Format: text/tab-separated-values, 150 data points
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  • 18
    Publication Date: 2024-01-31
    Keywords: Age; AGE; Alona elegans; Alona quadrangularis; Alona rustica; Bosmina sp.; Chydorus sphaericus; Counting 〉38 µm fraction; Daphnia longispina group; Daphnia pulex group; DEPTH, sediment/rock; Lake Río Seco, Sierra Nevada, Spain; Macrothrix sp.; Rio_Seco_2008; Sample code/label; Slide-hammer gravity corer
    Type: Dataset
    Format: text/tab-separated-values, 320 data points
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  • 19
    Publication Date: 2024-01-31
    Description: Temperature, salinity, and isotopic values data from sea ice samples taken during MOSAiC leg 4 (PS122/4). Sea ice samples were taken from Jaridge, Alli's Ridge, and the Remote Sensing site. The ice cores were extracted either with a 9-cm (Mark II) or 7.25-cm (Mark III) internal diameter ice corers (Kovacs Enterprise, US). During each coring event, ice temperature was measured in situ from a separate temperature core, using Testo 720 thermometers in drill holes with a length of half-core-diameter at 5–20 cm vertical resolution. Salinity ice cores were stored in sterile U-Lines bags and transported back to the ship within 2 hours of sampling. Ice bulk practical salinity was measured from melted core sections at 5 cm resolution using a YSI 30 conductivity meter (practical salinity scale, unitless). The relative volume of brine was estimated from ice salinity and temperature using Cox and Weeks (1983) for cold ice and Leppäranta and Manninen (1988) for ice warmer than –2°C. The data contains the event label (1), time (2), and global coordinates (3,4) of each coring measurement. The location (5) refers to the ridge name with other installations and measurements (Jaridge, Alli's Ridge, and Remote Sensing site). Each separate core has its local coordinates X (5) and Y (6) in meters. Each salinity core has its manually measured ice thickness (8), ice draft (9), and mean snow height (10). Each core section has the total length of its middle (11) measured in situ, as well as the estimated depth of the section middle (12). Each core section has the value of its temperature (14), as well as sea ice practical salinity (15) and isotopic values (16, 17) (doi:10.1594/PANGAEA.943746), co-located to the depth of temperature measurements. Brine volume (14) fraction estimates are presented only for fraction values from 0 to 30%. Each core section also has material (23) describing if the sample is from ice, ridge void, snow, or air. For Jaridge, a drill hole with local coordinates of (0,0) coincides with the ice mass balance buoy 2020M26 installation described in doi:10.1594/PANGAEA.938354. For Alli's ridge, a drill hole with local coordinates of (7.5,0) coincides with the ice mass balance buoy SIMBA 2020T61 installation described in doi:10.1594/PANGAEA.926580. The Remote Sensing site was close to the Infrared camera installation described in doi:10.1594/PANGAEA.940717.
    Keywords: Arctic Ocean; Core length; DATE/TIME; DEPTH, ice/snow; Distance, relative, X; Distance, relative, Y; Event label; HAVOC; IC; Ice corer; isotope composition; LATITUDE; LONGITUDE; Material; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; pressure ridges; PS122/4; PS122/4_45-131; PS122/4_45-163; PS122/4_46-178; PS122/4_47-157; PS122/4_47-199; PS122/4_48-229; PS122/4_49-103; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Salinity; Sea ice; Sea ice draft; Sea ice salinity; Sea ice thickness; Site; Snow height; Temperate; Temperature, ice/snow; Volume, brine; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 4110 data points
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  • 20
    Publication Date: 2024-01-31
    Keywords: Age; AGE; Alona rustica; Chydorus sphaericus; Counting 〉38 µm fraction; Cuadrada_2011; Daphnia pulex group; DEPTH, sediment/rock; Lake Cuadrada, Sierra Nevada, Spain; Sample code/label; Slide-hammer gravity corer
    Type: Dataset
    Format: text/tab-separated-values, 184 data points
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  • 21
    Publication Date: 2024-01-31
    Description: Field investigations were performed in the central Lena Delta. In total, 25 sites were investigated. The sites were chosen to represent a variety of vegetation communities of the investigated region. 30 m2 sample plots (sites) were demarcated in the most homogeneous locations. Heterogeneity was accommodated by roughly assorting vegetation into two to three vegetation types per sampling plot. Within each area of roughly estimated vegetation types we selected one 0.5 x 0.5 m subplot for representative ground-layer above-ground biomass (ABG) harvesting (major taxa and other). For moss and lichen AGB harvesting inside 0.5 x 0.5 m subplots representative 0.1 x 0.1 m subplots were chosen. All ground-layer vegetation AGB assessments were calculated for the fifteen-meter radius plot in g m2 for each sample plot. All harvested AGB samples were weighed fresh in the field. In general, AGB samples with a weight of more than 15 g were subsampled. All samples were oven dried (60 °C, 24 h and weighed again). All data was collected by scientists from Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research and University of Potsdam, Germany.
    Keywords: above ground biomass; Above-ground vegetation survey; Arctous alpina, biomass, dry mass; AWI_Envi; AWI Arctic Land Expedition; Betula exilis, biomass, dry mass; Biomass, aboveground, dry mass; Carbon in Permafrost / Kohlenstoff im Permafrost; central Lena Delta; Comarum palustre, biomass, dry mass; Dryas punctata, biomass, dry mass; Equisetum arvense, biomass, dry mass; Eriophorum spp., biomass, dry mass; Event label; KoPF; LATITUDE; LD18VP001; LD18VP002; LD18VP003; LD18VP004; LD18VP005; LD18VP006; LD18VP007; LD18VP008; LD18VP009; LD18VP010; LD18VP011; LD18VP013; LD18VP014; LD18VP015; LD18VP016; LD18VP017; LD18VP018; LD18VP019; LD18VP020; LD18VP021; LD18VP022; LD18VP023; LD18VP025; LD18VP026; LD18VP027; Lena 2018; Lena Delta; Litter, aboveground, biomass, dry mass; Location; LONGITUDE; Moss and lichen, biomass, dry mass; Plants, other, biomass, dry mass; Plot size, description; Polar Terrestrial Environmental Systems @ AWI; RU-Land_2018_Lena; Salix spp., biomass, dry mass; Site; Tofieldia coccinea, biomass, dry mass; Vaccinium vitis-idaea, biomass, dry mass; Vegetation survey; VEGSUR
    Type: Dataset
    Format: text/tab-separated-values, 400 data points
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  • 22
    Publication Date: 2024-01-31
    Description: The natural gamma radiation (NGR) data were acquired each 10 cm (see details below) on fluvio-lacustrine and palustrine sediment materials, from the continental CDB1 drill-core located in the Rennes Basin (Chartres de Bretagne, France, geographic coordinates: 48.04412074N; 1.71899076W, Elevation: +37m NGF, Nivellement Général de France). The studied geological time interval covers the Eocene-Oligocene transition interval, roughly from 31 to 38.5 Ma. NGR measurements were conducted by the Semm Logging company during the drilling campaign of the CINERGY project (CDB1 borehole) during summer 2010, under the supervision of BRGM (Bureau de Recherches Géologiques et Minières, France), on behalf the contracting authority of Chartres-de Bretagne. The main objective of the CINERGY project was to explore the Cenozoic cover of the Armorican shield preserved in a small strike-slip basin. The CINERGY Project was funded by the BRGM, the AELB (Agence de l'Eau Loire-Bretagne) and the ADEME (Agence de l'Environnement et de la Maitrise de l'Energie) French agencies. The NGR probe used during the CDB1 well logging consists of a scintillation detector (sodium iodide crystal coupled to a photo-multiplication tube), which converts gamma rays into electric pulses. The measured values are expressed in API (American Petroleum Institute) unit. This unit was calculated using a linear interpolation of raw data expressed in pulses per second (pps) according to a calibration set with a very stable source, the radioactivity of which is known in API unit. Because disintegration is a random phenomenon, raw measurements taken every 2 cm are integrated over a 25 cm long window and restored at a 10 cm step, which is consistent both with the crystal size and the average dip of the strata, nearly 15 degrees.
    Keywords: CDB1; Continental; DEPTH, sediment/rock; DRILL; Drilling/drill rig; France; Gammaray; Natural gamma ray; sediment core data
    Type: Dataset
    Format: text/tab-separated-values, 3406 data points
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  • 23
    Publication Date: 2024-01-31
    Keywords: Age; AGE; Alona quadrangularis; Alona rustica; Chydorus sphaericus; Counting 〉38 µm fraction; Daphnia pulex group; DEPTH, sediment/rock; Lake Río Seco, Sierra Nevada, Spain; Rio_Seco_Superior_2011; Sample code/label; Slide-hammer gravity corer
    Type: Dataset
    Format: text/tab-separated-values, 144 data points
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  • 24
    Publication Date: 2024-01-31
    Keywords: Bulk organic geochemistry; Calculated; Carbon, organic, total; China; Clumped isotope thermometry; Event label; Instrument; Latitude of event; Lithology/composition/facies; Longitude of event; OUTCROP; Outcrop sample; palynology; pedogenic carbonate; Plant wax; Reference/source; Sample ID; Section; stable isotope geochemistry; Stratigraphic height; Uniform resource locator/link to reference; Xining_Basin_Bingling_Shan; Xining_Basin_Caijia; Xining_Basin_Ledu; XRD; δ13C
    Type: Dataset
    Format: text/tab-separated-values, 1017 data points
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  • 25
    Publication Date: 2024-01-31
    Keywords: aff. Acer; aff. Betulaceae; aff. Caprifolicaceae; aff. Fagaceae; aff. Juglandaceae; aff. Pinaceae; Angiosperm, other; Angiosperm indeterminata; Angiosperms; Araliaceoipollenites; Broadleaved, temperate forest; Broadleaved, warm forest; Bulk organic geochemistry; Celtipollenites; cf. Engelhardia; cf. Euphorbiacidites; China; Classopollis; Clumped isotope thermometry; Coniferae, temperate forest; Counting, palynology; Cycadopites; Ephedripites spp.; Event label; Fraxinoipollenites; Graminidites; Group size; Heterocolpites; Ilexpollenites; Jianhanpollis; Labitricolpites; Laricoidites; Latitude of event; Liquidambarpollenites; Longitude of event; Magnolipollis; Nitraripollis spp.; OUTCROP; Outcrop sample; palynology; pedogenic carbonate; Pentapollenites; Piceapollenites; Plant wax; Pollen, steppe/desert; Proxapertites-type; Psilabrevitricolpites; Pteridophytes; Quercoidites sp.; Reference/source; Reworked; Salixpollenites spp.; Sample ID; Sapindaceidites cangxianensis; Sapindaceidites spp.; Sapotaceipollenites; Section; Spinizonocolpites; stable isotope geochemistry; Stratigraphic height; Subtotal; Tiliaepollenites; Total counts; Tricolporopollenites; Tsugaepollenites; Ulmipollenites spp.; Uniform resource locator/link to reference; Xining_Basin_Caijia; Xining_Basin_Dazhai; Xining_Basin_East_Xining; XRD
    Type: Dataset
    Format: text/tab-separated-values, 504 data points
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  • 26
    Publication Date: 2024-01-31
    Description: Carbonate (pedogenic and vadose-grown) δ13C and δ18O values as well as clumped isotopes (∆47 values). The latter also includes temperature reconstructions derived from the ∆47 values and soil water δ18O reconstructions derived from these temperatures and the carbonate δ18O values.
    Keywords: According to Anderson et al. (2021); According to Kim and O'Neil (1997); Bulk organic geochemistry; Calculated; Calculated, see abstract; China; Clumped isotope thermometry; Comment; Event label; Instrument; Latitude of event; Lithology/composition/facies; Longitude of event; OUTCROP; Outcrop sample; palynology; pedogenic carbonate; Plant wax; Reference/source; Replicates; Sample ID; Section; stable isotope geochemistry; Stratigraphic height; Temperature, technical; Temperature, technical, standard error; Uniform resource locator/link to reference; Xining_Basin_Caijia; Xining_Basin_Ledu; XRD; Δ47; Δ47, standard deviation; δ13C; δ18O; δ18O, soil water; δ18O, soil water, standard error
    Type: Dataset
    Format: text/tab-separated-values, 748 data points
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  • 27
    Publication Date: 2024-01-31
    Keywords: Average chain length, n-Alkane, C14-C37; Average chain length, n-Alkane, C25-C37; Bulk organic geochemistry; Carbon Preference Index; China; Clumped isotope thermometry; Event label; GASC; Gas chromatograph; Instrument; Latitude of event; Lithology/composition/facies; Longitude of event; n-Alkane C27, δ13C; n-Alkane C27, δ13C, standard deviation; n-Alkane C27, δD; n-Alkane C27, δD, standard deviation; n-Alkane C28, δ13C; n-Alkane C28, δ13C, standard deviation; n-Alkane C28, δD; n-Alkane C28, δD, standard deviation; n-Alkane C29, δ13C; n-Alkane C29, δ13C, standard deviation; n-Alkane C29, δD; n-Alkane C29, δD, standard deviation; n-Alkane C30, δ13C; n-Alkane C30, δ13C, standard deviation; n-Alkane C30, δD; n-Alkane C30, δD, standard deviation; n-Alkane C31, δ13C; n-Alkane C31, δ13C, standard deviation; n-Alkane C31, δD; n-Alkane C31, δD, standard deviation; n-Alkane C32, δ13C; n-Alkane C32, δ13C, standard deviation; n-Alkane C32, δD; n-Alkane C32, δD, standard deviation; n-Alkane C33, δ13C; n-Alkane C33, δ13C, standard deviation; n-Alkane C33, δD; n-Alkane C33, δD, standard deviation; OUTCROP; Outcrop sample; palynology; pedogenic carbonate; Plant wax; Reference/source; Sample ID; Section; stable isotope geochemistry; Stratigraphic height; Uniform resource locator/link to reference; Xining_Basin_Bingling_Shan; Xining_Basin_Caijia; XRD
    Type: Dataset
    Format: text/tab-separated-values, 753 data points
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  • 28
    Publication Date: 2024-01-31
    Keywords: Albite; Albite, full width at half maximum, 3.2Å; Albite (Intensity, 3.2Å); Albite (Peak 3.2Å); Albite (Peak Area 3.2Å); Analcime; Analcime, full width at half maximum, 3.43Å; Analcime (Intensity, 3.43Å); Analcime (Peak 3.43Å); Analcime (Peak Area 3.43Å); Bulk organic geochemistry; Calcite; Calcite, full width at half maximum, 3.04Å; Calcite (Intensity, 3.04Å); Calcite (Peak 3.04Å); Calcite (Peak Area 3.04Å); China; Chlorite; Chlorite, full width at half maximum, 14Å; Chlorite, full width at half maximum, 3.53Å; Chlorite, full width at half maximum, 7.1Å; Chlorite (Intensity, 14Å); Chlorite (Intensity, 3.53Å); Chlorite (Intensity, 7.1Å); Chlorite (Peak 14Å); Chlorite (Peak 3.53Å); Chlorite (Peak 7.1Å); Chlorite (Peak Area 14Å); Chlorite (Peak Area 3.53Å); Chlorite (Peak Area 7.1Å); Clumped isotope thermometry; Dolomite, full width at half maximum, 2.91Å; Dolomite (Intensity, 2.91Å); Dolomite (Peak 2.91Å); Dolomite (Peak Area 2.91Å); Event label; Illite/muscovite; Illite-Muscovite, full width at half maximum, 10Å; Illite-Muscovite (Intensity, 10Å); Illite-Muscovite (Peak 10Å); Illite-Muscovite (Peak Area 10Å); Instrument; Kalifeldspar; Kalifeldspar, full width at half maximum, 3.25Å; Kalifeldspar (Intensity, 3.25Å); Kalifeldspar (Peak 3.25Å); Kalifeldspar (Peak Area 3.25Å); Latitude of event; Lithology/composition/facies; Longitude of event; Magnesium carbonate; Magnesium-Dolomite; Mixed layer illite/muscovite; Mixed layer illite/smectite, full width at half maximum, 10.4Å; Mixed layer illite/smectite (Intensity, 10.4Å); Mixed layer illite/smectite (Peak 10.4Å); Mixed layer illite/smectite (Peak Area 10.4Å); OUTCROP; Outcrop sample; palynology; pedogenic carbonate; Plant wax; Quartz; Quartz, full width at half maximum, 3.34Å; Quartz, full width at half maximum, 4.26Å; Quartz (Intensity, 3.34Å); Quartz (Intensity, 4.26Å); Quartz (Peak 3.34Å); Quartz (Peak 4.26Å); Quartz (Peak Area 3.34Å); Quartz (Peak Area 4.26Å); Reference/source; Relative abundance (bulk minerals); Sample ID; Section; stable isotope geochemistry; Stratigraphic height; Uniform resource locator/link to reference; Xining_Basin_Caijia; Xining_Basin_Ledu; X-ray diffraction (XRD); XRD
    Type: Dataset
    Format: text/tab-separated-values, 1950 data points
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  • 29
    Publication Date: 2024-01-30
    Description: The Učja aquifer, located in the E-W-orientated Učja Valley in NW Slovenia, presents a potential cross-border water resource. Due to the difficult access and steep mountain morphology and complex structural conditions, only basic geological research was done. Despite the fact that the groundwater is already used as a source of drinking water (public and local supply), comprehensive analysis of the aquifer has not yet been carried out. Water for geochemical and isotopic analysis was sampled at 13 locations in the Učja Valley; groundwater was sampled at 12 locations, and the surface water (Učja River) at one location. The sampling sites were located at different elevations and due to accessibility practically all of them were on the southern slopes of the valley. Water measurements, sampling, and analysis were carried out from December 2017 to March 2019. Physico-chemical parameters (pH, temperature, electrical conductivity, oxidation-reduction potential, and dissolved oxygen) were measured on a monthly basis and in-situ at sampling sites using a digital Multimeter 3430 (WTW GmbH, Weilheim, Germany). The missing measurements from some sampling sites are the result of the springs running dry at the time of sampling. Water samples for further geochemical (cations and anions) and isotopic analysis were collected in HDPE bottles for isotopic composition of oxygen (δ¹⁸O), hydrogen (δ²H), total alkalinity (TA), tritium activity (³H), and in Labco glass ampoules for isotopic composition of dissolved inorganic carbon (δ¹³CDIC). Water samples for cations and δ¹³CDIC were filtered using a 0.45 μm pore-sized membrane, and for some analyses water was also chemically treated and stored in a refrigerator until they were analysed. A total of 22 water samples were collected for geochemical analyses (cations, anions), 37 water samples (seasonally) for isotopic analyses δ¹⁸O, δ²H, total alkalinity and δ¹³CDIC, and 10 water samples for ³H. The database comprises information on sampling sites, sampling dates, and the results of field measurements and laboratory analyses.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; ALTITUDE; Aluminium; Antimony; Arsenic; Barium; Beryllium; Bismuth; Bromide; Cadmium; Caesium; Calcium; Cerium; Chloride; Chromium; Cobalt; Comment; Conductivity, electrical; Continuous flow isotope ratio mass spectrometer (CF-IRMS), Sercon, Europa Scientific 20-20, ANCA-TG preparation module; Copper; cross-border karst aquifer; Date; Dual inlet-isotope-ratio mass spectrometer (DI-IRMS), Finnigan MAT GmbH, Finnigan MAT Delta plus; Dysprosium; Erbium; Europium; Event label; Fluoride; Gallium; Germanium; Gran titration; according to Gieskes, 1974; with pH electrode, Mettler Toledo, AG 8603; groundwater; Hafnium; Holmium; hydrogeochemistry; Indium; Inductively coupled plasma - mass spectrometry (ICP-MS), PerkinElmer, Thermo icapQ; Ion Chromatograph, Thermo Fisher Scientific, Dionex DX-120; Iron; isotopic composition; Lanthanum; LATITUDE; Lead; Liquid Scintillation Counting- Guard Compensation Technology (LSC-GCT), PerkinElmer, Quantulus GCT 6220 [Super Low Level LSC]; Lithium; LONGITUDE; Lutetium; Magnesium; Manganese; Mercury; Molybdenum; Multi-parameter meter, Xylem Analytics, Multi 3430; Neodymium; Nickel; Niobium; Nitrate; Nitrite; Oxidation reduction (RedOx) potential; Oxygen, dissolved; pH; Phosphate; Potassium; Praseodymium; Rubidium; Samarium; Sample code/label; Sample ID; Sample method; Scandium; Selenium; Silicon; Silver; Slovenia; Sodium; Strontium; Sulfate; Tantalum; Tellurium; Temperature, water; Terbium; Thallium; Thorium; Thulium; Tin; Titanium; Tritium; Tritium, standard deviation; Tungsten; Type; Ucja_UC1_1; Ucja_UC1_10; Ucja_UC1_11; Ucja_UC1_12; Ucja_UC1_2; Ucja_UC1_3; Ucja_UC1_4; Ucja_UC1_5; Ucja_UC1_6; Ucja_UC1_7; Ucja_UC1_8; Ucja_UC1_9; Ucja_UC10_1; Ucja_UC10_2; Ucja_UC10_3; Ucja_UC10_4; Ucja_UC10_5; Ucja_UC11_10; Ucja_UC11_11; Ucja_UC11_12; Ucja_UC11_2; Ucja_UC11_3; Ucja_UC11_4; Ucja_UC11_5; Ucja_UC11_6; Ucja_UC12_10; Ucja_UC12_11; Ucja_UC12_12; Ucja_UC12_2; Ucja_UC12_3; Ucja_UC12_4; Ucja_UC12_5; Ucja_UC12_6; Ucja_UC12_9; Ucja_UC13_6; Ucja_UC2_1; Ucja_UC2_10; Ucja_UC2_11; Ucja_UC2_12; Ucja_UC2_2; Ucja_UC2_3; Ucja_UC2_4; Ucja_UC2_5; Ucja_UC2_6; Ucja_UC3_1; Ucja_UC3_10; Ucja_UC3_11; Ucja_UC3_12; Ucja_UC3_2; Ucja_UC3_3; Ucja_UC3_4; Ucja_UC3_5; Ucja_UC3_6; Ucja_UC3_7; Ucja_UC3_8; Ucja_UC3_9; Ucja_UC4_1; Ucja_UC4_10; Ucja_UC4_11; Ucja_UC4_12; Ucja_UC4_2; Ucja_UC4_3; Ucja_UC4_4; Ucja_UC4_5; Ucja_UC4_6; Ucja_UC4_7; Ucja_UC4_8; Ucja_UC4_9; Ucja_UC5_1; Ucja_UC5_10; Ucja_UC5_11; Ucja_UC5_12; Ucja_UC5_2; Ucja_UC5_3; Ucja_UC5_4; Ucja_UC5_5; Ucja_UC5_6; Ucja_UC5_7; Ucja_UC5_8; Ucja_UC5_9; Ucja_UC6_1; Ucja_UC6_10; Ucja_UC6_11; Ucja_UC6_12; Ucja_UC6_2; Ucja_UC6_3; Ucja_UC6_4; Ucja_UC6_5; Ucja_UC6_6; Ucja_UC6_7; Ucja_UC6_8; Ucja_UC6_9; Ucja_UC7_1; Ucja_UC7_10; Ucja_UC7_11; Ucja_UC7_12; Ucja_UC7_2; Ucja_UC7_3; Ucja_UC7_4; Ucja_UC7_5; Ucja_UC7_6; Ucja_UC7_7; Ucja_UC7_8; Ucja_UC7_9; Ucja_UC8_1; Ucja_UC8_10; Ucja_UC8_11; Ucja_UC8_12; Ucja_UC8_2; Ucja_UC8_3; Ucja_UC8_4; Ucja_UC8_5; Ucja_UC8_6; Ucja_UC8_7; Ucja_UC8_8; Ucja_UC8_9; Ucja_UC9_1; Ucja_UC9_10; Ucja_UC9_11; Ucja_UC9_12; Ucja_UC9_2; Ucja_UC9_3; Ucja_UC9_4; Ucja_UC9_5; Ucja_UC9_6; Ucja_UC9_7; Ucja_UC9_8; Ucja_UC9_9; Uranium; Vanadium; Water sample; WS; Ytterbium; Yttrium; Zinc; Zirconium; δ13C, dissolved inorganic carbon; δ13C, dissolved inorganic carbon, standard deviation; δ18O, water; δ18O, water, standard deviation; δ Deuterium, water; δ Deuterium, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 3448 data points
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  • 30
    Publication Date: 2024-01-15
    Description: This dataset was created to provide an overview on the seasonal dynamics of contaminants in the Niger Delta Africa and their relationship to parameters that are likely be affected by future climatic changes. Therfore surface water samples were collected monthly from the three major ecosystem types of the Niger Delta, the Bonny estuary, the Imo river and the Lagos lagoon in the year 2021 (January to December). We sampled 3-4 stations at each of the sites, representing upper, middle, lower reaches16 (〉 5 km apart). We determined analytically the concentrations of total petroleum hydrocarbons (TPHs) and heavy metals (HMs: Mn, Al, Co, B, Zn, Cr, Cu, Ni, Pb, Cd, Hg) , measured in µg/L. Other abiotic parameters such as temperature (°C), salinity (ppt), conductivity (mS/cm), DO (mg/L), TDS (mg/L), pH, were measured in-situ using a Horiba U–52 Multi-parameter meter, while, nutrients PO43- (mg/L), NO3- (mg/L), NH4+ (mg/L), and SO42- (mg/L), turbidity (NTU)) were determined using established standard methods.
    Keywords: Aluminium; Ammonium; APAPA; Atomic absorption spectrometry (AAS); Barium; BNN1; BNN2; BNN3; Boron; C_BRIG; Cadmium; CARTERBRIDGE; Chromium; Climate change; Cobalt; Conductivity; Copper; DATE/TIME; Event label; heavy metals; IJORA; IMO1; IMO2; IMO3; Iron; Latitude of event; Lead; Longitude of event; Manganese; Mercury; Molybdenum; Multi Water Quality Checker, HORIBA, U-52; Nickel; Niger Delta; Nitrate; Oxygen, dissolved; pH; Phosphate; Salinity, absolute; Site; Standard Methods for the Examination of Water and Waste Water (APHA, 2012); Sulfate; Temperature, water; Total dissolved solids; total petroleum hydrocarbons; Total petroleum hydrocarbons; Turbidity (Nephelometric turbidity unit); UNILAG; UV-visible spectrophotometer; Water sample; WS; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 3240 data points
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  • 31
    Publication Date: 2024-02-01
    Description: Some of the highest specific mass change rates in Antarctica are reported for the Antarctic Peninsula. However, the existing estimates for the northern Antarctic Peninsula (〈70°S) are either spatially limited or are affected by considerable uncertainties. The complex topography, frequent cloud cover, limitations in ice thickness information, boundary effects, and uncertain glacial-isostatic adjustment estimates affect the ice sheet mass change estimates using altimetry, gravimetry, or the input-output method. Within this study, the first assessment of the geodetic mass balance throughout the ice sheet of the northern Antarctic Peninsula is carried out employing bi-static SAR data from the TanDEM-X satellite mission. Repeat coverages from austral-winters 2013 and 2017 are employed. Overall coverage of 96.4% of the study area by surface elevation change measurements and a total mass budget of -24.1±2.8 Gt/a is revealed. The spatial distribution of the surface elevation and mass changes points out, that the former ice shelf tributary glaciers of the Prince-Gustav-Channel, Larsen-A&B, and Wordie ice shelves are the hotpots of ice loss in the study area, and highlights the long-lasting dynamic glacier adjustments after the ice shelf break-up events. The highest mass change rate is revealed for the Airy-Seller-Fleming glacier system of -4.9±0.6 Gt/a and the highest average surface elevation change rate of -2.30±0.03 m/a is observed at Drygalski Glacier. The obtained results provide information on ice surface elevation and mass changes for the entire northern Antarctic Peninsula on unprecedented spatially detailed scales and high precision, and will be beneficial for subsequent analysis and modeling.
    Keywords: Antarctic_Peninsula_Ice_Sheet_2013-2017; Antarctic Peninsula; File content; geodetic mass balance; InSAR; Raster graphic, GeoTIFF format; Raster graphic, GeoTIFF format (File Size); Raster graphic, GeoTIFF format (MD5 Hash); remote sensing; SAT; Satellite remote sensing; TanDEM-X
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
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  • 32
    Publication Date: 2024-02-02
    Description: The data sets contains the age model as well as bulk organic and n-alkane data of sediment core GeoTü SL167 to reconstruct changes of the oxygen minimum zone strength for the late Quaternary. The age model is based on 14C AMS measurements of planktonic foraminifera and is calibrated with the BACON v. 2.5.6 software for R (Blauuw & Christen, 2011) and a marine reservoir age of ΔR = 93 ± 61 years. The ΔR is based on the weighted mean of two regional marine reservoir corrections (Muscat) by Southon et al. (2002) using the marine calibration database (Reimer and Reimer, 2001, http://calib.org/marine/). Total organic carbon and nitrogen measurements were carried out with an Euro EA3000 elemental analyser and δ15N measurements with a Thermo Scientific Flash EA1112 coupled to a Finnigan MAT 252 IRMS. Total organic carbon mass accumulation rates (TOC MAR) based on calculation using the organic carbon content and total mass accumulation rates. A description of the calculation of the total mass accumulations rates is given in Burdanowitz et al 2021. The measurements of n-alkanes were carried out using Thermo Scientific Trace 1310 GC-FID and Thermo Scientific DSQ II (GC-MS). Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Age model; Arabian Sea; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; n-alkanes; OMZ; Quaternary
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 33
    Publication Date: 2024-01-25
    Description: DIC measurement: an aliquot of the slurry was filtered with a 0.2-µm filter to remove cells and other particles. After filtration, 1 mL of samples were acidified with 100 μL 45% phosphoric acid overnight in an Exetainer® vial pre-purged with CO2-free air before analysis. All samples were measured with a Delta Ray Isotope Ratio Infrared Spectrometer (IRIS) with URI Connect and autosampler (Thermo Fisher Scientific, Germany) with an analytical error of ±1‰. All isotopic values are reported in the delta notation as δ13C relative to the Vienna PeeDee Belemnite (VPDB) standard. Deviations of triplicate isotopic measurement of sample DIC were between ± 1‰ and ± 1,000‰ (for DIC with label uptake of 〉10,000‰). DIC concentration was calculated from the released amount of CO2 by calibration with sodium hydrogen carbonate solution.
    Keywords: amino acids; Carbon, inorganic, dissolved; Center for Marine Environmental Sciences; ClusterOceanFloor; Delta Ray Isotope Ratio Infrared Spectrometer (IRIS) with URI Connect and autosampler (Thermo Fisher Scientific, Germany); Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DIC; HE483; HE483/25-2; Heincke; lipidomics; MARUM; MUC; MultiCorer; North Sea; Priming effect; RNA-SIP; Sample ID; Secondary production; stable isotope probing; Substrate type; The Ocean Floor - Earth's Uncharted Interface; Time in days; Volume; δ13C, dissolved inorganic carbon
    Type: Dataset
    Format: text/tab-separated-values, 560 data points
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  • 34
    Publication Date: 2024-01-11
    Description: This dataset contains bulk geochemical information (TOC, S, Tmax, Hydrogen and Oxygen Indices), relative and absolute abundances of selected plant wax and bacterial hopanoid biomarkers as well as stable carbon and hydrogen isotope signatures of selected compounds. Samples were analysed with a Leco C/S analyser, a Rock-Eval 6 pyrolysis unit, a gas chromatograph-triple quad mass spectrometer and gas chromatograph isotope ratio mass spectrometer (for d13C and d2H). The samples originate from two onshore outcrops at the Stenkul Fiord (Ellesmere Island) and are mostly coal samples of the lignite thermal maturity stage. The age of the samples are Paleogene and cover the Paleocene Eocene Thermal Maximum (PETM; Margaret Formation), and they were taken in 2017 (BGR CASE 19 expedition). The data were generated to reconstruct the terrestrial paleovenvironment in this high-latitude setting. More information on the studied sections can be found elswhere (Reinhardt et al., 2022).
    Keywords: 17alpha,21beta-homohopane, δ13C; 17beta,21beta-homohopane, δ13C; 2-methyl hop-17(21)-ene/hop-17(21)-ene ratio; Biomarkers; Carbon, organic, total; Carbon Preference Index, n-Alkanes; CASE19; Diterpenoids, total, per unit mass total organic carbon; Element analyser CS, LECO; Ellesmere Island; Epoch; Gas chromatography - Isotope ratio mass spectrometer (GC-IRMS); Gas chromatography triple quadrupole mass spectrometry (GC-QQQ-MS); Hop-17(21)-ene, per unit mass total organic carbon; Hop-17(21)-ene, δ13C; Hopanoids; Hopene, total, per unit mass total organic carbon; Hydrogen index, mass HC, per unit mass total organic carbon; Isopimarane, per unit mass total organic carbon; Isopimarane, δ13C; Location; LR17_Stenkul_Fiord_earlyEocene; n-Alkane, average chain length; n-Alkane, sum, per unit mass total organic carbon; n-Alkane C25, δD; n-Alkane C27, δD; n-Alkane C29, δD; n-Alkane C31, δ13C; neohop-13(18)-ene, δ13C; Nor-Isopimarane, δ13C; OUTCROP; Outcrop sample; Oxygen index, mass CO2, per unit mass total organic carbon; PETM; Pyrolysis temperature maximum; Rock-Eval analysis; Sample ID; SECTION, height; Site; Stable carbon and hydrogen isotopes of plant-waxes; Stable carbon isotope (δ13C); Sulfur, total; δ Deuterium, n-alkane; δ Deuterium, n-alkane, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 781 data points
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  • 35
    Publication Date: 2024-01-11
    Description: This dataset contains bulk geochemical information (TOC, S, Tmax, Hydrogen and Oxygen Indices), relative and absolute abundances of selected plant wax and bacterial hopanoid biomarkers as well as stable carbon and hydrogen isotope signatures of selected compounds. Samples were analysed with a Leco C/S analyser, a Rock-Eval 6 pyrolysis unit, a gas chromatograph-triple quad mass spectrometer and gas chromatograph isotope ratio mass spectrometer (for d13C and d2H). The samples originate from two onshore outcrops at the Stenkul Fiord (Ellesmere Island) and are mostly coal samples of the lignite thermal maturity stage. The age of the samples are Paleogene and cover the Paleocene Eocene Thermal Maximum (PETM; Margaret Formation), and they were taken in 2017 (BGR CASE 19 expedition). The data were generated to reconstruct the terrestrial paleovenvironment in this high-latitude setting. More information on the studied sections can be found elswhere (Reinhardt et al., 2022).
    Keywords: 2-methyl hop-17(21)-ene/hop-17(21)-ene ratio; Biomarkers; Carbon, organic, total; Carbon Preference Index, n-Alkanes; CASE19; Diterpenoids, total, per unit mass total organic carbon; Element analyser CS, LECO; Ellesmere Island; Epoch; Gas chromatography - Isotope ratio mass spectrometer (GC-IRMS); Gas chromatography triple quadrupole mass spectrometry (GC-QQQ-MS); Hop-17(21)-ene, per unit mass total organic carbon; Hop-17(21)-ene, δ13C; Hopanoids; Hopene, total, per unit mass total organic carbon; Hydrogen index, mass HC, per unit mass total organic carbon; Isopimarane, per unit mass total organic carbon; Location; LR17_Stenkul_Fiord_EAST; n-Alkane, average chain length; n-Alkane, sum, per unit mass total organic carbon; OUTCROP; Outcrop sample; Oxygen index, mass CO2, per unit mass total organic carbon; PETM; Pyrolysis temperature maximum; Rock-Eval analysis; Sample ID; SECTION, height; Site; Stable carbon and hydrogen isotopes of plant-waxes; Stable carbon isotope (δ13C); Sulfur, total
    Type: Dataset
    Format: text/tab-separated-values, 141 data points
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  • 36
    Publication Date: 2024-01-16
    Description: Since 1991, the first author has been running a project to study ice height change, flow velocity and deformation using GNSS ground measurements at Swiss Camp near the equilibrium line in the western margin of the Greenland Ice Sheet. The data so far came from 12 campaigns in the period 1991 to 2014, i.e. on average every two years. Recently, the HEIM-group has crossed the Greenland Ice Sheet from east to west with sleds and also determined the surface heights in 2021, it was also possible to measure the Swiss Camp area. The measurements in 2021 were made using kinematic GNSS at one-second intervals, which were evaluated using the Precise Point Positioning (PPP) method. With their results, it was now possible to extend the height change to 30 years and thus form a unique long-term time series.
    Keywords: Distance, relative, X; Distance, relative, Y; ELEVATION; kinematic GPS; ORDINAL NUMBER; Precise Point Positioning (PPP); surface heigts; Swiss_camp_2021_106-99
    Type: Dataset
    Format: text/tab-separated-values, 130864 data points
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  • 37
    Publication Date: 2024-01-09
    Description: Divergent sea ice motion breaks the ice and opens fractures and leads. Depending on the air temperature, those open-water areas can quickly refreeze. The open water or thin ice in leads play a crucial role in the heat and gas exchange between the ocean and the atmosphere, impacting atmospheric, ecological, and oceanic processes. Leads can be detected from space, using different types of instruments, e.g., thermal infrared, passive microwave, active microwave, or optical sensors. The retrieval methods have different sensitivities, especially concerning the minimum lead width and the maximum ice thickness, different spatial resolutions, and different limits. We presented a time series of lead fractions from different lead products (Oct 2019 - May 2020) along the drift of the Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition in the Transpolar Drift. We compared 7 different lead products based on 1. accumulated divergence derived from SAR images, 2. divergence in linear kinematic features, 3. classified SAR data, 4. thermal infrared data from MODIS, 5. passive microwave data from AMSR-2, 6. radar altimetry from CryoSat-2 (lead fractions and total lead count), and 7. thermal infrared data from helicopter surveys. We extracted daily lead fractions in a circle with a radius of 50 km along the drift of MOSAiC. Data is available from 5 October 2019 to 15 May 2020 with shorter time series for some of the sensors. We found that the mean lead fractions varied by 1 magnitude across different lead products due to different physical lead and sea ice properties observed by the sensors and methodological factors such as spatial resolution. Thus, the choice of lead product should align with the specific application. Each file contains time and lead fraction for a circular area (radius 50 km) around the MOSAiC position of the particular time stamp. The thermal infrared data from helicopter surveys are available from doi:10.1594/PANGAEA.951569.
    Keywords: Arctic Ocean; CSV text file; CSV text file (File Size); CSV text file (MD5 Hash); CT; File content; leads; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Ocean-ice-atmosphere interaction; Open-water fraction; Polarstern; PS122/1; PS122/1-track; PS122/2; PS122/2-track; PS122/3; PS122/3-track; PS122/4; PS122/4-track; PS122/5; PS122/5-track; sea ice deformation; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
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  • 38
    Publication Date: 2024-01-26
    Description: We examined the growth response of a brackish snail (Hydrobiidae) against multiple temperature treatments in a mesocosm located beside the Alfred Wegener Institute Wadden Sea Station on Sylt (55°01′19.2″N, 8°26′17.7″E). Bulk sediments were collected south of Pellworm (54° 31' 55.83"N, 8° 42' 40.36"E) at low tide on March 22, 2022, transferred to mesh-lined crates and introduced to mesocosm tanks (170 cm × 85 cm × 1800 L). Experimental warming treatments were conducted using three heaters per tank (Titanium heater 500 W, Aqua Medic, Bissendorf, Germany). The full specifications for the mesocosms are already published (Pansch et al., 2016). Throughout the experimental warming period, four sampling events (March 30, April 25, May 24, June 20) were conducted to core sediments. Sediment cores were washed and sieved (1mm mesh size) to disaggregate infauna. Individuals were separated for the common hydrobiid mudsnail, which were subsequently imaged in groups on a typical petri plate under stereomicroscopy. A semi-automatic object segmentation and size measurement approach was developed to rapidly differentiate and measure individuals from images. Segmentation was highly accurate and precise against manual length measurements (end-to-end; mm) collected in ImageJ for 4595 snails. Scaling the segmentation method across the full dataset estimated 〉40,000 snails and presented a complex species-specific response to warming. The enclosed dataset represents all raw, processed, and segmented images (n= 3201) produced by this study.
    Keywords: Computer vision; DAM sustainMare - iSeal: Trans- and interdisciplinary Social-ecological network analysis based on long-term monitoring, experimental data and stakeholders' assessment; File type; Gastropods; Identification; Image, specimens; Image, specimens (File Size); Image, specimens (MD5 Hash); Image, specimens (Media Type); Image number/name; Image segmentation; iSeal; Magnification; MESO; mesocosm experiment; Mesocosm experiment; Method comment; Object Based Image Analysis; Research Mission of the German Marine Research Alliance (DAM): Protection and sustainable use of marine areas; Resolution; Sample code/label; Sampling date/time, experiment; Stereo microscope, Nikon, SMZ18; coupled with Microscope camera, Nikon, DS-Fi3 [5.39 megapixels, LED base light with oblique coherent contrast]; sustainMare; Sylt_Mesocosm_2022; Tank number; Taxon/taxa, unique identification; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Treatment: temperature description; Type; Type of study; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 44814 data points
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  • 39
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Event label; heatflow; Heat flow; Heat-Flow probe; HF; Latitude of event; Longitude of event; M186; M186_12-1; M186_20-1; M186_26-1; M186_44-1; M186_47-1; M186_53-1; M186_66-1; M186_83-1; M186_85-1; MARUM; Meteor (1986); Sample code/label; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 280 data points
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  • 40
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_20-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1134 data points
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  • 41
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_12-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1512 data points
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  • 42
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_26-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 891 data points
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  • 43
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_47-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 946 data points
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  • 44
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_85-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1029 data points
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  • 45
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_83-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 526 data points
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  • 46
    facet.materialart.
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_66-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 389 data points
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  • 47
    facet.materialart.
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_53-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 504 data points
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  • 48
    facet.materialart.
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    PANGAEA
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_53-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 654 data points
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  • 49
    Publication Date: 2024-02-02
    Description: The data sets contains bulk organic data of sediment core GeoTü SL167. Total organic carbon and nitrogen measurements were carried out with an Euro EA3000 elemental analyser and δ15N measurements with a Thermo Scientific Flash EA1112 coupled to a Finnigan MAT 252 IRMS. Total organic carbon mass accumulation rates (TOC MAR) based on calculation using the organic carbon content and total mass accumulation rates. A description of the calculation of the total mass accumulations rates is given in Burdanowitz et al 2021. Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Accumulation rate, total organic carbon per year; AGE; Age model; Arabian Sea; Calculated; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Element analyzer, Thermo Scientific, Flash EA1112; coupled with a Finnigan MAT 252 IRMS; Gravity corer (Kiel type); M74/1b; M74/1b_960-1; Meteor (1986); n-alkanes; Oman Margin; OMZ; Quaternary; SL; SL 167; δ15N; δ15N, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 1846 data points
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  • 50
    Publication Date: 2024-02-02
    Description: The age model of sediment core GeoTü SL167 is based on 14C AMS measurements of planktonic foraminifera and is calibrated with the BACON v. 2.5.6 software for R (Blaauw & Christen, 2011) and a marine reservoir age of ΔR = 93 ± 61 years. The ΔR is based on the weighted mean of two regional marine reservoir corrections (Muscat) by Southon et al. (2002) using the marine calibration database (Reimer and Reimer, 2001, http://calib.org/marine/). Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Age, 14C AMS; Age, 14C calibrated, BACON v. 2.5.6 (Blaauw and Christen, 2011); Age, dated; Age, dated standard deviation; Age model; Arabian Sea; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Gravity corer (Kiel type); M74/1b; M74/1b_960-1; Meteor (1986); n-alkanes; Oman Margin; OMZ; Quaternary; SL; SL 167
    Type: Dataset
    Format: text/tab-separated-values, 147 data points
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  • 51
    Publication Date: 2024-02-03
    Description: In situ measurements from sparsely distributed networks worldwide are a valuable source of data for validating satellite products. However, the significant differences in spatial scale between in situ and satellite measurements pose a challenge for validation. To address this challenge, we propose a new global coarse pixel-scale ground truth dataset which provide sequential pixel scale albedo on a 500 m resolution over the period 2000-2021. The creation of data set is done using ground measurements from 368 sparsely distributed networks worldwide and high-resolution long-term time series data corresponding to site-based data. Furthermore, we carefully evaluate the effectiveness of the new dataset over sites with different degrees of spatial representativeness. The results demonstrate superior overall accuracy compared to in situ measurement, especially in regions with strong spatial heterogeneity while most in situ measurements have poor spatial representativeness and cannot represent the pixel scale. The dataset offers a unique collection of pixel-scale relative ground "truth" with the widest spatial distribution and longest time series. Its ability to capture both spatial and temporal variations of surface albedo at coarse spatial scales makes it an invaluable resource for validating and correcting global surface albedo products.
    Keywords: Albedo_surface_2000-2021; Binary Object; Binary Object (File Size); Event label; File content
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
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  • 52
    Publication Date: 2024-02-03
    Description: Liquid water content and total water content from the Nevzorov probe, collected during the HALO-AC³ campaign out of Longyearbyen, Svalbard in April 2022. The dataset contains measurements from the three collector sensors of the Nevzorov probe. These are the cylindrical LWC sensor, the 8 mm TWC cone and the 12 mm TWC cone (for a description of the probe see doi:10.1175/1520-0426(1998)015〈1495:TNAHWL〉2.0.CO;2, doi:10.5194/egusphere-2022-647 ). Furthermore, corrected LWC and TWC values are contained in the dataset. These values are best estimates of LWC and TWC. They are computed by solving a system of equations and they consider collection efficiencies, the different latent heats of water and ice and the sensitivity of the LWC sensor to ice particles. For a description of the computation see Lucke et al. (2023) (doi:10.4271/2023-01-1485). However, for this data, the 12 mm cone was not included in the computation, as its data were deemed to be too unreliable in conditions where droplet diameters are low. NaNs are represented as 9999.999 in the dataset. The dataset only contains research flight 8 - 13. For the previous flights a problem with the probe existed and no data was recorded.
    Keywords: AC; Aircraft; Arctic; Arctic Amplification; Date/Time of event; Event label; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220401_P6_RF08; HALO-AC3_20220404_P6_RF09; HALO-AC3_20220405_P6_RF10; HALO-AC3_20220408_P6_RF11; HALO-AC3_20220409_P6_RF12; HALO-AC3_20220410_P6_RF13; ice water content; IWC; liquid water content; LWC; mixed-phase clouds; netCDF file; netCDF file (File Size); NEVZ; Nevzorov probe; P6_231_HALO_2022; P6_231_HALO_2022_2204011101; P6_231_HALO_2022_2204041201; P6_231_HALO_2022_2204051301; P6_231_HALO_2022_2204081401; P6_231_HALO_2022_2204091501; P6_231_HALO_2022_2204101601; Polar 6; POLAR 6; Polarimetric Radar Observations meet Atmospheric Modelling (PROM) - Fusion of Radar Polarimetry and Numerical Atmospheric Modelling Towards an Improved Understanding of Cloud and Precipitation Processes; SPP2115_PROM; Svalbard; total water content; TWC
    Type: Dataset
    Format: text/tab-separated-values, 6 data points
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  • 53
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220320_P6_RF01; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203200401; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 16414 data points
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  • 54
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220401_P6_RF08; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2204011101; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 20114 data points
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  • 55
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220410_P6_RF13; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2204101601; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 20356 data points
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  • 56
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220330_P6_RF07; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203301001; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 23834 data points
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  • 57
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Australia; cave; cave climate; Comment; Date/Time local; GIAM-9; humidity; Humidity, relative; Mullamullang Cave (front); Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 20350 data points
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  • 58
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Abracurrie Cave; ASF-3; Australia; cave; cave climate; Comment; Date/Time local; humidity; Humidity, relative; Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 27119 data points
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  • 59
    Publication Date: 2024-02-02
    Description: The onset of the first sustained Antarctic glaciation at the Eocene-Oligocene Transition (~34 Ma; EOT) was marked by several changes in calcareous nannofossils coinciding with long-term cooling and modifications in the sea-surface water structure. Here, we combined a high-resolution calcareous nannofossil assemblage data (%) with bulk geochemical data from IODP Site U1509 (New Caledonia Trough, Tasman Sea) in order to give an overview of the paleoclimatic and palaeoceanographic evolution of the study area.
    Keywords: 371-U1509A; Calcareous nannofossils; Calcium carbonate; DEPTH, sediment/rock; DSDP/ODP/IODP sample designation; Eocene-Oligocene Transition.; Exp371; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP Depth Scale Terminology; Isotope ratio mass spectrometry; Joides Resolution; Sample code/label; Tasman Frontier Subduction Initiation and Paleogene Climate; Tasman Sea; δ13C, carbonate; δ18O, carbonate
    Type: Dataset
    Format: text/tab-separated-values, 732 data points
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  • 60
    Publication Date: 2024-02-02
    Description: The dataset contains abundances of dinoflagellate cysts (dinocysts) from sediment samples from sediment core GeoB19927-3 (73°35,26' N, 58°05,66' W) located in Southern Melville Bay (Baffin Bay). The dataset covers the depth interval between 760-0 cm top depths, corresponding to 7.7 kyrs BP – present. The core was taken at 932 meters of water depth by gravity coring during cruise MSM44 in 2015 (Dorschel et al., 2016). The core consists of 1147 cm of sediment. For dinocyst analysis, it was sub-sampled every centimetre within the top 25 cm, every 5 cm within the 25 cm to 280 cm interval and every 10 cm within the 280 cm to 760 cm interval, including 124 samples. Sample processing followed the procedure for palynological preparation described in Vernal et al. (2010). The taxonomy of dinocysts used here was based on Rochon et al. (1999) and de Vernal et al. (2020). At least 300 dinocyst specimens were counted per sample when possible. For samples with low dinocyst abundance as many specimens as possible were enumerated. In the sample with lowest dinocyst abundance, 89 specimens were counted. The chronology has been provided by Saini et al. (2020).
    Keywords: AGE; ArcTrain; Ataxiodinium choane; Baffin Bay; Bitectatodinium tepikiense; Brigantedinium spp.; Depth, sediment/rock, top/minimum; Dinoflagellate cyst; Echinidinium karaense; Echinidinium spp.; Foraminifera, linings; GC; GeoB19927-3; Gravity corer; Halodinium; Impagidinium pallidum; Islandinium minutum; Maria S. Merian; MSM44; MSM44_353-3; Nematosphaeropsis labyrinthus; Operculodinium centrocarpum; Pentapharsodinium dalei cyst; Polykrikos sp. cyst; Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic; Sample code/label; Selenopemphix quanta; Spiniferites elongatus; Spiniferites ramosus; Spiniferites spp.
    Type: Dataset
    Format: text/tab-separated-values, 2480 data points
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  • 61
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220328_P6_RF05; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203280801; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 6694 data points
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  • 62
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220326_P6_RF04; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203260702; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 11906 data points
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  • 63
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220329_P6_RF06; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203290901; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 26012 data points
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  • 64
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Australia; cave; cave climate; Date/Time local; GIAM-12; humidity; Humidity, relative; Kelly Cave (higher passage); Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 6822 data points
    Location Call Number Expected Availability
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  • 65
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: ASF-5; Australia; cave; cave climate; Comment; Date/Time local; humidity; Humidity, relative; Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500; Webbs Cave (front)
    Type: Dataset
    Format: text/tab-separated-values, 27149 data points
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  • 66
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220408_P6_RF11; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2204081401; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 19026 data points
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  • 67
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: ASF-1; Australia; Blowhole 6N-3372; cave; cave climate; Comment; Date/Time local; humidity; Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 14287 data points
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  • 68
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Australia; cave; cave climate; Comment; Date/Time local; GIAM-8; humidity; Humidity, relative; Mullamullang Cave (back); Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 20350 data points
    Location Call Number Expected Availability
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  • 69
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Australia; cave; cave climate; Date/Time local; GIAM-14; humidity; Humidity, relative; Kelly Cave (lower passage); Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 6822 data points
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  • 70
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Australia; cave; cave climate; Date/Time local; GIAM-13; humidity; Humidity, relative; Kelly Cave (entrance); Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 6822 data points
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  • 71
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: ASF-4; Australia; cave; cave climate; Comment; Date/Time local; humidity; Humidity, relative; Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500; Webbs Cave (back)
    Type: Dataset
    Format: text/tab-separated-values, 27152 data points
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  • 72
    Publication Date: 2024-01-25
    Description: Amino acids derivatization and analysis: Sediment slurries were centrifuged to separate the sediments from the medium and the sediments were freeze-dried and homogenized. 50 mg of samples spiked with the internal reference standard norleucine were decalcified and acid hydrolyzed (6M, 110℃) for 15 h. The hydrolysate was centrifuged to remove the sediments and subsequently defatted with hexane/ DCM mixture (V/V, 2:1) three times. The purification and derivatization of amino acids were performed by following the protocols described by Takano et al.53 and Chikaraishi et al.54, respectively. In brief, the hydrolysates were evaporated under N2 gas to dryness and purified using Dowex 50WX8 200 400 mesh cation exchange resin to eliminate the matrix effects. The purified amino acids were then isopropylated with a mixture of isopropanol and acetyl chloride (4/1, v/v) at 100 ℃ for 2 h. The solution was then evaporated to dryness and followed 3 times with DCM addition and evaporation to remove any remaining reagent. The AA isopropyl esters were then acylated using a mixture of pivaloyl chloride and DCM (1/1, v/v) at 100 ℃ for 2 h to obtain pivaloyl-isopropyl ester (Pv/AA/iPr). The Pv/AA/iPr solution was then evaporated to dryness and followed 3 times DCM addition and evaporation to remove any remaining reagent. Liquid-liquid extraction was performed by using MiliQ water and a hexane/DCM mixture (2/1, v/v). The Pv/AA/iPr were stored frozen (-20℃) and dissolved in ethyl acetate before analysis.
    Keywords: Amino acid, carbon; Amino acid, δ13C; amino acids; Center for Marine Environmental Sciences; ClusterOceanFloor; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DIC; HE483; HE483/25-2; Heincke; lipidomics; MARUM; MUC; MultiCorer; North Sea; Priming effect; RNA-SIP; Sample ID; Sample mass; Sample type; Secondary production; see description in data abstract; stable isotope probing; Substrate type; The Ocean Floor - Earth's Uncharted Interface; Time in days
    Type: Dataset
    Format: text/tab-separated-values, 3393 data points
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  • 73
    Publication Date: 2024-01-25
    Description: Incubation time was controlled based on the development of δ13C values of CO2 in the headspace. δ13C of CO2 was measured by Thermo Finnigan Trace GC coupled to a Thermo Finnigan Delta plus XP isotope ratio mass spectrometer (IRMS). Deviations of triplicate isotopic measurement of δ13C of CO2 were between ± 1‰ and ± 1,000‰ (for CO2 with label uptake of 〉10,000‰). Slurries were harvested at five time points for detailed analyses.
    Keywords: amino acids; Calculated; Center for Marine Environmental Sciences; ClusterOceanFloor; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DIC; HE483; HE483/25-2; Heincke; lipidomics; MARUM; MUC; MultiCorer; North Sea; Priming effect; Replicates; RNA-SIP; Secondary production; stable isotope probing; Standard error; Substrate type; The Ocean Floor - Earth's Uncharted Interface; Thermo Trace GC coupled to ThermoFinnigan DELTAplus XP (GC-C-IRMS); Time in days; δ13C, carbon dioxide; δ13C, carbon dioxide, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 720 data points
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  • 74
    Publication Date: 2024-02-01
    Description: Marine heat flow data from RV Meteor cruise M186. The GEOMAR project name is Azores Hot Vents. We used the 6 m Bremen heat probe with 21 channels @ 0.26 m spacing.
    Keywords: Azores; Center for Marine Environmental Sciences; heatflow; MARUM
    Type: Dataset
    Format: application/zip, 10 datasets
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  • 75
    Publication Date: 2024-01-31
    Keywords: According to Anderson et al. (2021); Bulk organic geochemistry; Clumped isotope thermometry; Instrument; Laboratory code/label; palynology; pedogenic carbonate; Plant wax; Run Date/Time; Run Number; Sample ID; stable isotope geochemistry; Standard deviation; Temperature, technical; XRD; Δ47; Δ48; Δ49; δ13C; δ18O; δ45; δ46; δ47; δ48; δ49
    Type: Dataset
    Format: text/tab-separated-values, 61571 data points
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  • 76
    Publication Date: 2024-01-31
    Keywords: Age; AGE; Aguas_Verdes_2011; Alona quadrangularis; Alona rustica; Chydorus sphaericus; Counting 〉38 µm fraction; Daphnia pulex group; DEPTH, sediment/rock; Lake Aguas Verdes, Sierra Nevada, Spain; Sample code/label; Slide-hammer gravity corer
    Type: Dataset
    Format: text/tab-separated-values, 194 data points
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  • 77
    Publication Date: 2024-01-31
    Keywords: Age; AGE; Alona quadrangularis; Alona rustica; Borreguil_2011; Chydorus sphaericus; Counting 〉38 µm fraction; Daphnia pulex group; DEPTH, sediment/rock; Lake Borreguil, Sierra Nevada, Spain; Sample code/label; Slide-hammer gravity corer
    Type: Dataset
    Format: text/tab-separated-values, 200 data points
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  • 78
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-02-15
    Description: Raw data acquired by position sensors on board RV Heincke during expedition HE626_2 were processed to receive a validated master track which can be used as reference of further expedition data. During HE626_2 the inertial navigation system IXSEA PHINS III and the GPS receivers Trimble Marine SPS461 and SAAB R5 SUPREME NAV 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: 1 sec resolution; HE626/2; HE626/2-track; Heincke; SCANS; Gerätetest
    Type: Dataset
    Format: application/zip, 18.5 MBytes
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  • 79
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-02-15
    Description: Raw data acquired by position sensors on board RV Heincke during expedition HE631 were processed to receive a validated master track which can be used as reference of further expedition data. During HE631 the inertial navigation system IXSEA PHINS III and the GPS receivers Trimble Marine SPS461 and SAAB R5 SUPREME NAV 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: 1 sec resolution; HE631; HE631-track; Heincke; HIGHSEA
    Type: Dataset
    Format: application/zip, 9.1 MBytes
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  • 80
    Publication Date: 2024-02-15
    Keywords: Analytical Balance, Sartorius, A200S; followed by Calulation; Arctic; Biomarkers; DATE/TIME; DEPTH, water; HER; Herschel_Island; LATITUDE; LONGITUDE; MULT; Multiple investigations; organic carbon; Permafrost; Sample code/label; Sample ID; Sample type; sediment; Size fraction; Zone
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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  • 81
    Publication Date: 2024-02-17
    Description: Here we submitted modern core top radiolarian assemblage dataset in the Northwestern Australian Margin. The sample were collected during the German Sonne R/V Expedition SO 257. The dataset served as a calibration dataset to estimate past Summer Sea Surface Temperature (SST) of the Past using radiolarian species. We also submit herein IODP 363 Site U1483 (the Timor Sea), radiolarian assemblage data from the time interval between 500 and 1600 ka to discuss the impact of the Mid Pleistocene Transition on regional climate/ocean system such as the Indonesian Throughflow and the Australian Monsoon. For do so, we estimate the summer SST between 500 and 1600 ka relying on the SO 257 core top radiolarian assemblages.
    Keywords: Australian Monsoon Monsoon; Indonesian Throughflow; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Mid Pleistocene Transition; Radiolarians; Summer sea surface temperature
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 82
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_20-1; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 83
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_23-9; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 84
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_22-7; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 26 data points
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  • 85
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_23-8; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 86
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_22-6; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 87
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_23-8; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 88
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_23-11; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 89
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_22-7; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 90
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_23-10; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 91
    Publication Date: 2024-02-10
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; ARTofMELT2023/1_20-3; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; DATE/TIME; FRAM; FRontiers in Arctic marine Monitoring; Image; Oden; Remotely operated vehicle (ROV); Remote operated vehicle; ROV; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 92
    Publication Date: 2024-02-13
    Description: The rain regime in the Eastern Mediterranean is primarily controlled by Mediterranean winter cyclonic systems. The lake level of the Dead Sea responds sensitively to hydrological changes, and can be used to track the evolution of the Mediterranean hydroclimate during the late Quaternary. However, lake level reconstructions beyond 70 ka are limited by a lack of paleoshorelines and dating methodologies. Here, we reconstruct the Dead Sea lake level back to 237 ka using measurements of brine density from halite fluid inclusions of the deep ICDP core 5017-1-A. We combine our mass balance-based reconstruction with an age reevaluation of published sequence stratigraphy-based lake levels, by tying their chronology to the ICDP core. The lake levels obtained with the two different methods compare very well, within better than 10 m. Combined with a compilation of published paleoshorelines for the last 70 ka, our reconstruction covers three glacial-interglacial cycles.
    Keywords: Dead Sea; Eastern Mediterranean; Halite fluid inclusions; Lake level; Late Quaternary; Paleolimnology; Subsidence
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 93
    Publication Date: 2024-02-13
    Description: Interferometric Synthetic Aperture Radar (InSAR) images (L1 Single Look Complex data from ESA/Copernicus Sentinel-1) were acquired between May and September during the thawing seasons from 2015 to 2019, over the area of Ilulissat, West Greenland. Rasters of thaw-season ground surface displacements were obtained from the interferometric processing of the SAR scenes. The 2015-2019 average seasonal displacement (S) and long-term deformation rate (R) were derived by least-squares inversion from the surface displacement rasters. In addition, active layer thicknesses (ALT) probed in Ilulissat at the end of the summers of 2020 and 2021 were extrapolated using a vegetation map derived from a Random Forest classification of multi-temporal Sentinel-2 optical images. The average seasonal displacement and extrapolated ALT were finally used to estimate the amount of ice present in the active layer, indicating the frost susceptibility of the ground. This dataset first contains the yearly thaw-season surface displacement rasters in the radar line-of-sight (LOS) direction, and the derived average seasonal and long-term deformation rasters. Secondly, the ALT measurements and floristic data used as inputs and validation in the study are provided along with the land cover classification, extrapolated ALT and frost susceptibility index rasters.
    Keywords: Active Layer Thickness; Arctic infrastructure; Data type; DATE/TIME; Documentation file; File content; Ice content; Ilulissat_Mapping; Ilulissat, Greenland; InSAR; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; Permafrost; Raster graphic, GeoTIFF format; Text file
    Type: Dataset
    Format: text/tab-separated-values, 43 data points
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  • 94
    Publication Date: 2024-02-13
    Description: As the Arctic warms, the historic functioning of local ecosystems is changing in new and not always anticipated ways. One such change is the appearance and expansion of ice algal mats in the melt ponds of northern Svalbard. An expedition to this remote part of the planet was launched in July 2004 to measure the productivity of this new type of mat. Data were collected using oxygen micro electrodes, PAR sensors, and the visual analysis of samples via microscope. This dataset contains the oxygen profiles from this research. Also included are the surface temperature and salt concentrations for each core.
    Keywords: Arctic Biodiversity & Livelihoods; Arctic Ocean; Barents Sea; carbon turnover; Date; DEPTH, ice/snow; FACE-IT; High performance liquid chromatography, Agilent 1100, Agilent Technologies, Germany; ice algae; Identification; melt ponds; Oxygen; Oxygen, gas; Oxygen microsensor, Clark type (Revsbech, 1989); oxygen production and consumption; Oxygen sensor, SBE 44; Photosynthesis; Salinity; Salt content; Svalbard_Carbonara; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 5017 data points
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  • 95
    Publication Date: 2024-02-13
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023.
    Keywords: ARTofMELT; ARTofMELT2023; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 19 datasets
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  • 96
    Publication Date: 2024-02-13
    Description: Firn cores BAL-1 and PASO-1 were both retrieved in November 2015 from the Union Glacier region, located in the Ellsworth Mountains at the northern edge of the West Antarctic Ice Sheet. BAL-1 was drilled in a U-shaped glacial valley (Balish Glacier) at an altitude of approximately 1520 m above sea level (a.s.l.) to a depth of 17.28 m. PASO-1 was drilled on a plateau west of the Gifford Peaks at an altitude of about 1920 m a.s.l. to a depth of 15.04 m. Both firn cores were obtained using a portable solar-powered and electrically operated ice-core drill (Backpack Drill; icedrill.ch AG). Density measurements of the two firn cores were performed at the ice-core processing facilities of the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) in Bremerhaven, Germany, in spring and autumn 2016. X-ray microfocus computer tomography (ICE-CT; Freitag et al., 2013, doi:10.3189/2013JoG13J028) was used for the measurements, providing depth-density profiles with a resolution of better than 1 mm. The density data were used to analyse the firn core stratigraphy (e.g., determination of the snow-firn transition depth, identification of wind crusts), to calculate diffusion lengths as well as to derive accumulation rates for the firn-core drill sites.
    Keywords: Antarctica; density; firn core; snow density; Snowpack; West Antarctica
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 97
    Publication Date: 2024-02-13
    Description: Nitrate and UV-absorbance spectra were measured by a SUNA V2 UV-spectrometer (Satlantic) mounted in the sensor skid of a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023. The instrument header is SATSLS0847. Data use manufacturer calibration.
    Keywords: ARTofMELT; ARTofMELT2023; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 19 datasets
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  • 98
    Publication Date: 2024-02-13
    Keywords: Antarctica; density; Density, snow/firn/ice; DEPTH, ice/snow; FIRN; Firn auger; firn core; PASO-1; snow density; Snowpack; Union Glacier, West Antarctic Ice Sheet; West Antarctica
    Type: Dataset
    Format: text/tab-separated-values, 107620 data points
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  • 99
    Publication Date: 2024-02-13
    Keywords: AGE; Age, dated material; Age, standard deviation; Analytical method; Arubotaim; Arugot; calculated, 2 sigma; CDRILL; Comment; Core drilling; David; Dead Sea; Dead Sea Basin, Israel; Depth, relative; DSDDP_5017-1-A; Eastern Mediterranean; Ein-Qedem; En-Gedi; Event label; Halite fluid inclusions; Lake level; Lake level, standard deviation; Late Quaternary; Lithology/composition/facies; Massada; Nahal-Darga; Paleolimnology; Perazim; Reference/source; Stratigraphic Unit; Subsidence; Subsidence corrected; West-escarpment-Cave_S-181; West-escarpment-Cave_S-215; West-escarpment-Cave_S-34; West-escarpment-Cave_S-42; West-escarpment-Cave_S-54; West-escarpment-Cave_S-66; West-escarpment-Cave_SQ-18; West-escarpment-Cave_SQ-4; West-escarpment-Cave_SQ-8; West-escarpment-Cave_SQ-9; West-escarpment-terraces; Yizrah; Zeelim
    Type: Dataset
    Format: text/tab-separated-values, 2015 data points
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  • 100
    Publication Date: 2024-02-13
    Keywords: 95% Confidence interval, 2.5th percentile; 95% Confidence interval, 97.5th percentile; AGE; Arubotaim; Arugot; CDRILL; Core drilling; David; Dead Sea; Dead Sea Basin, Israel; DSDDP_5017-1-A; Eastern Mediterranean; Ein Gedi; Ein-Qedem; GEDI97; Halite fluid inclusions; Israel; Lake level; Late Quaternary; Massada; Nahal-Darga; Paleolimnology; Perazim; Subsidence; West-escarpment-Cave_S-181; West-escarpment-Cave_S-215; West-escarpment-Cave_S-34; West-escarpment-Cave_S-42; West-escarpment-Cave_S-54; West-escarpment-Cave_S-66; West-escarpment-Cave_SQ-18; West-escarpment-Cave_SQ-4; West-escarpment-Cave_SQ-8; West-escarpment-Cave_SQ-9; West-escarpment-terraces; Yizrah; Zeelim
    Type: Dataset
    Format: text/tab-separated-values, 422 data points
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