cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.894421
title: CICE output from Navy Earth System Model (NESM) for 2018091112

description: INITIALIZATION: 2018091112FORECASTS:daily at 00Z out to 45 days (t1068)GRIDS:ARCu0.08 -- poleward of 40NANTu0.08 -- poleward of 49.52SPARAMETERS:hi:standard_name = "sea_ice_thickness" ;hs:standard_name = "surface_snow_thickness" ;Tsfc:standard_name = "surface_temperature_where_sea_ice" ;aice:standard_name = "sea_ice_area_fraction" ;uvel:standard_name = "eastward_sea_ice_velocity" ;vvel:standard_name = "northward_sea_ice_velocity" ;sst:standard_name = "sea_water_temperature" ;uocn:standard_name = "eastward_sea_water_velocity" ;vocn:standard_name = "northward_sea_water_velocity" ;Tair:standard_name = "air_temperature" ;strength:standard_name = "compressive_strength_of_sea_ice" ;
DOI: 10.1594/pangaea.894393
title: Lithology of sediment core PILUGAN1, Pilugani, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894362
title: Lithology of sediment core BISOCLM1, Lacul cu Muschi, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894395
title: Lithology of sediment core PILUGAN2, Pilugani, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894363
title: Lithology of sediment core BISOCLM2, Lacul cu Muschi, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894397
title: Lithology of sediment core PILUGAN3, Pilugani, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894386
title: Pollen profile of sediment core COLIBI, Colibii, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net). Date analyzed: 1929
DOI: 10.1594/pangaea.894402
title: Lithology of sediment core POBRAZI1, Poiana Brazilor, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894410
title: Lithology of sediment core RASCA2, Rasca, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894381
title: Lithology of sediment core COLACEL1, Colacel Rosu, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894404
title: Lithology of sediment core POBRAZI2, Poiana Brazilor, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894406
title: Lithology of sediment core POSTAMPI, Poiana Stampei, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894412
title: Lithology of sediment core RHEIDE29, Rheiderland 29, Germany

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894408
title: Lithology of sediment core RASCA1, Rasca, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894414
title: Lithology of sediment core RHEIDE37, Rheiderland 37, Germany

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894416
title: Lithology of sediment core RHEIDER7, Rheiderland 7, Germany

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894424
title: Lithology of sediment core RUT2, Rut, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894431
title: Lithology of sediment core SALICEA1, Salicea, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894433
title: Lithology of sediment core SALICEA2, Salicea, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894466
title: Lithology of sediment core SARDORN1, Sarul Domei, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894422
title: Lithology of sediment core RUT1, Rut, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894468
title: Lithology of sediment core SARDORN2, Sarul Domei, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894470
title: Lithology of sediment core SARDORN3, Sarul Domei, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894471
title: Pollen profile of sediment core SARDORN3, Sarul Domei, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.894474
title: Lithology of sediment core SCHWI1SA, Schwindebeck, Germany

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.843280
title: Near-coastal circum-Antarctic iceberg size distributions determined from Synthetic Aperture Radar images

description: The Radarsat-1 Antarctic Mapping Project (RAMP) compiled a mosaic of Antarctica and the adjacent ocean zone from more than 3000 high-resolution Synthetic Aperture Radar (SAR) images acquired in September and October 1997. The mosaic with a pixel size of 100 m was used to determine iceberg size distributions around Antarctica, combining an automated detection with a visual control of all icebergs larger than 5 km**2 and correction of recognized false detections. For icebergs below 5 km**2 in size, the numbers of false detections and accuracies of size retrievals were analyzed for three test sites. Nearly 7000 icebergs with horizontal areas between 0.3 and 4717.7 km**2 were identified in a near-coastal zone of varying width between 20 and 300 km. The spatial distributions of icebergs around Antarctica were calculated for zonal segments of 20° angular width and related to the types of the calving fronts in the respective section. Results reveal that regional variations of the size distributions cannot be neglected. The highest ice mass accumulations were found at positions of giant icebergs (&gt; 18.5 km) but also in front of ice shelves from which larger numbers of smaller icebergs calve almost continuously. Although the coastal oceanic zone covered by RAMP is too narrow compared to the spatial coverage needed for oceanographic research, this study nevertheless demonstrates the usefulness of SAR images for iceberg research and the need for repeated data acquisitions extending ocean-wards over distances of 500 km and more from the coast to monitor iceberg melt and disintegration and the related freshwater input into the ocean.
description: Supplement to: Wesche, Christine; Dierking, Wolfgang (2015): Near-coastal circum-Antarctic iceberg size distributions determined from Synthetic Aperture Radar images. Remote Sensing of Environment, 156, 561-569
DOI: 10.1594/pangaea.855893
title: Mangrove cover in the Red Sea in 2000
DOI: 10.1594/pangaea.855894
title: Mangrove cover in the Red Sea in 1972
DOI: 10.1594/pangaea.855895
title: Mangrove cover in the Red Sea in 2013
DOI: 10.1594/pangaea.812215
title: (Table 1) Physicochemical properties of 35 Icelandic lakes housing a single morph of Arctic charr (Salvelinus alpinus)
DOI: 10.1594/pangaea.815147
title: (Table 3) Sea ice habitat characteristics and number of narwhal (Monodon monoceros) sightings in Baffin Bay in April 2008
DOI: 10.1594/pangaea.823412
title: (Table 1) Summary of Central Alps lake sedimentology and ages

description: DEPTH, water gives the maximum water depth.
DOI: 10.1594/pangaea.870994
title: (Table 1) River characteristics, clay minerals and abundance of detrital matter sampled during the southwest monsoon (July–August) and the postmonsoon (November–December) season in 2007 from different stations in the Arabian Sea

description: SW = southwest monsoon seasonPM = postmonsoon season
DOI: 10.1594/pangaea.884028
title: (Table 1) Locations and general properties of lakes in Minnesota and Iowa
DOI: 10.15468/dl.9c4je8
title: Occurrence Download

description: A dataset containing 19061 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Solidago rugosa var. sphagnophila C.Graves, Solidago rugosa var. aspera (Aiton) Fernald, Solidago rugosa Mill., Solidago rugosa f. rugosa, Solidago rugosa var. rugosa, Solidago rugosa var. celtidifolia (Small) Fernald, Solidago rugosa subsp. aspera (Aiton) Cronquist, Solidago rugosa var. typica Fernald, Solidago rugosa var. pallida Peck, Solidago rugosa subsp. rugosa, Solidago rugosa var. cronquistiana Semple, Solidago rugosa f. villosa (Pursh) Beaudry)"
 ]
}

 The dataset includes 19061 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031516-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.883894
title: Water level, areal extent and volume change of Lake Constance: Multi-year time series from satellite altimetry and remote sensing
DOI: 10.1594/pangaea.817211
title: (Table 5) Elevation dependent volume changes of Jacobshavn Isbrae during 1985-1997

description: Volume changes and uncertainties in four areas derived by comparing 1997 ATM (Airborne Topographic Mapper) data and the 1985 DEM (Digital Elevation Model, derived by aerial photos).
DOI: 10.1594/pangaea.883895
title: Water level, areal extent and volume change of Lake Tanganyika: Multi-year time series from satellite altimetry and remote sensing
DOI: 10.1594/pangaea.883896
title: Water level, areal extent and volume change of Lake Tonle Sap: Multi-year time series from satellite altimetry and remote sensing
DOI: 10.1594/pangaea.883897
title: Water level, areal extent and volume change of Lake Turkana: Multi-year time series from satellite altimetry and remote sensing
DOI: 10.1594/pangaea.819057
title: (Table 3) Narwhal (Monodon monoceros) sightings, group sizes and surface estimates in the Canadian High Arctic 2002-2004

description: The covered area given for each stratum is calculated from a strip width equal to the maximum distance at which a sighting wasreported and multiplied by the average probability of detection over that strip, g(x). The estimated coverage is calculated from a strip width equal to the maximum distance at which any sighting was reported in each year, minus the left truncation distance. The strip is then multiplied by the linear survey effort (km) and the average probability of detection over that stratum, g(x), to give the approximate survey coverage.
DOI: 10.1594/pangaea.884814
title: Mangrove distribution in the Arabian Gulf for the year 2017

description: Mangroves are the natural protectors of the coast, carbon sinks, and a nursery to many terrestrial as well as aquatic organisms. Different effects caused by natural forces together with anthropogenic factors have reduced mangrove cover on a global scale, yet little is known about the overall surface covered by mangroves in the Arabian Gulf. Therefore, the aim of this study was to examine their spatial coverage and distribution along the Gulf coastlines, using 25 satellite imagery recently acquired from Landsat 8 data for the year 2017. This study found about 165 km**2 of fragmented scattered mangroves, mostly intense in the United Arab Emirates, where plantation projects have likely played a significant role in increasing their cover over the years. Whereas mangrove in Kuwait is rare, areas like Bahrain, Qatar and Saudi Arabia remained stable with a slight increase. However, mangroves in Iran appear to suffer a decline throughout the years.
description: Supplement to: Almahasheer, Hanan (2018): Spatial coverage of mangrove communities in the Arabian Gulf. Environmental Monitoring and Assessment, 190(2), 85
DOI: 10.1594/pangaea.778629
title: (Tables 1-3) Water chemistry of cloud forest streams at baseflow conditions, Rio San Francisco, Ecuador

description: We investigated controls on the water chemistry of a South Ecuadorian cloud forest catchment which is partly pristine, and partly converted to extensive pasture. From April 2007 to May 2008 water samples were taken weekly to biweekly at nine different subcatchments, and were screened for differences in electric conductivity, pH, anion, as well as element composition. A principal component analysis was conducted to reduce dimensionality of the data set and define major factors explaining variation in the data. Three main factors were isolated by a subset of 10 elements (Ca2+, Ce, Gd, K+, Mg2+, Na+, Nd, Rb, Sr, Y), explaining around 90% of the data variation. Land-use was the major factor controlling and changing water chemistry of the subcatchments. A second factor was associated with the concentration of rare earth elements in water, presumably highlighting other anthropogenic influences such as gravel excavation or road construction. Around 12% of the variation was explained by the third component, which was defined by the occurrence of Rb and K and represents the influence of vegetation dynamics on element accumulation and wash-out. Comparison of base- and fast flow concentrations led to the assumption that a significant portion of soil water from around 30 cm depth contributes to storm flow, as revealed by increased rare earth element concentrations in fast flow samples. Our findings demonstrate the utility of multi-tracer principal component analysis to study tropical headwater streams, and emphasize the need for effective land management in cloud forest catchments.
description: Water grab samples were taken between April 2007 and May 2008. Digits of concentration values are adapted to detection limit accuracy. This work was funded by the Deutsche Forschungsgemeinschaft DFG in the frame of the project FOR816 "Biodiversity and Sustainable Management of a Megadiverse Mountain Ecosystem in South Ecuador".
description: Supplement to: Bücker, Amelie; Crespo, Patricio; Frede, Hans-Georg; Vaché, Kellie; Cisneros, Felipe; Breuer, Lutz (2010): Identifying controls on water chemistry of tropical cloud forest catchments: Combining descriptive approaches and multivariate analysis. Aquatic Geochemistry, 16(1), 127-149
DOI: 10.1594/pangaea.825012
title: Etna flank lava flows between 1610 and 2008

description: ? means uncertain/estimate
DOI: 10.1594/pangaea.894484
title: Pollen profile of sediment core STOBOR, Stobor, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net). Date analyzed: 1945
DOI: 10.1594/pangaea.894489
title: Pollen profile of sediment core TAUBAITI, Tau-Baitii, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net). Date analyzed: 1962
DOI: 10.1594/pangaea.786381
title: (Table 1) Water storage changes of the 33 world's largest river basins between 2002-2009

description: Global change in land water storage and its effect on sea level is estimated over a 7-year time span (August 2002 to July 2009) using space gravimetry data from GRACE. The 33 World largest river basins are considered. We focus on the year-to-year variability and construct a total land water storage time series that we further express in equivalent sea level time series. The short-term trend in total water storage adjusted over this 7-year time span is positive and amounts to 80.6 ± 15.7 km**3/yr (net water storage excess). Most of the positive contribution arises from the Amazon and Siberian basins (Lena and Yenisei), followed by the Zambezi, Orinoco and Ob basins. The largest negative contributions (water deficit) come from the Mississippi, Ganges, Brahmaputra, Aral, Euphrates, Indus and Parana. Expressed in terms of equivalent sea level, total water volume change over 2002-2009 leads to a small negative contribution to sea level of -0.22 ± 0.05 mm/yr. The time series for each basin clearly show that year-to-year variability dominates so that the value estimated in this study cannot be considered as representative of a long-term trend. We also compare the interannual variability of total land water storage (removing the mean trend over the studied time span) with interannual variability in sea level (corrected for thermal expansion). A correlation of ~0.6 is found. Phasing, in particular, is correct. Thus, at least part of the interannual variability of the global mean sea level can be attributed to land water storage fluctuations.
description: GRACE data (RL04) were processed by D. P. Chambers, supported by the NASA Earth Science REASoN GRACE Project, and are available at: http://gracetellus.jpl.nasa.gov/data/. Further information can be found at: http://grace.jpl.nasa.gov/relatedSites/. Data extracted in the frame of a joint ICSTI/PANGAEA IPY effort, see http://doi.pangaea.de/10.1594/PANGAEA.150150
description: Supplement to: Llovel, William; Becker, Melanie; Cazenave, Anny; Crétaux, Jean-François; Ramillien, Guillaume (2010): Global land water storage change from GRACE over 2002-2009; Inference on sea level. Comptes Rendus Geoscience, 342(2), 179-188
DOI: 10.1594/pangaea.761824
title: Tab. 1: Muskoxen observed in the different geographical units

description: Muskoxen populations were surveyed in the course of 3 expeditions to North East Greenland to provide data on present status and habitat requirements in the region between 72 and 74 deg latitude North. The distribution is primarily affected by the snow cover pattern and shows densities from less than 0.1 ind/km**2 to 1.5 ind/km**2. Ranges unutilized by muskoxen prior to 1940 now support high densities. The snow cover influences also the population dynamics, as shown by the streng correlation between the calf crop and the amount of snow. The total population is estimated to be about 1000 to 1500 individuals far the whole region.
description: Supplement to: Sittler, Benoît (1988): Distribution and abundance of Muskoxen (Ovibos moschatus) in the North East Greenland National Park. Results of surveys carried out between 72° and 74° North. Polarforschung, 58(1), 1-12
DOI: 10.1594/pangaea.817850
title: (Table 1) Basin area, average late-summer speedup, number of sinks and runoff of West Greenland Ice Sheet catchments

description: We use interferometric synthetic aperture radar observations recorded in a land-terminating sector of western Greenland to characterise the ice sheet surface hydrology and to quantify spatial variations in the seasonality of ice sheet flow. Our data reveal a non-uniform pattern of late-summer ice speedup that, in places, extends over 100 km inland. We show that the degree of late-summer speedup is positively correlated with modelled runoff within the 10 glacier catchments of our survey, and that the pattern of late-summer speedup follows that of water routed at the ice sheet surface. In late-summer, ice within the largest catchment flows on average 48% faster than during winter, whereas changes in smaller catchments are less pronounced. Our observations show that the routing of seasonal runoff at the ice sheet surface plays an important role in shaping the magnitude and extent of seasonal ice sheet speedup.
description: Positions of catchments approximate. Data extracted in the frame of a joint ICSTI/PANGAEA IPY effort, see http://doi.pangaea.de/10.1594/PANGAEA.150150
description: Supplement to: Palmer, Steven J; Shepherd, Andrew; Nienow, Peter; Joughin, Ian (2011): Seasonal speedup of the Greenland Ice Sheet linked to routing of surface water. Earth and Planetary Science Letters, 302(3-4), 423-428
DOI: 10.1594/pangaea.808536
title: (Table 1) Water chemistry of lakes in Zackenbergdalen, East Greenland

description: The data shown are from the first survey on the particular lakes, and all chemistry data are means for the water column. The two lakes that were monitored every year are Sommerfuglesø and Langemandssø.
DOI: 10.1594/pangaea.819262
title: (Table 1) Accumulation and ice discharge of West Antarctic glaciers draining into the Amundsen Sea between 1974 and 2007

description: The Advanced Land Observation System (ALOS) Phased-Array Synthetic-Aperture Radar (PALSAR) is an L-band frequency (1.27 GHz) radar capable of continental-scale interferometric observations of ice sheet motion. Here, we show that PALSAR data yield excellent measurements of ice motion compared to C-band (5.6 GHz) radar data because of greater temporal coherence over snow and firn. We compare PALSAR velocities from year 2006 in Pine Island Bay, West Antarctica with those spanning years 1974 to 2007. Between 1996 and 2007, Pine Island Glacier sped up 42% and ungrounded over most of its ice plain. Smith Glacier accelerated 83% and ungrounded as well. Their largest speed up are recorded in 2007. Thwaites Glacier is not accelerating but widening with time and its eastern ice shelf doubled its speed. Total ice discharge from these glaciers increased 30% in 12 yr and the net mass loss increased 170% from 39 ± 15 Gt/yr to 105 ± 27 Gt/yr. Longer-term velocity changes suggest only a moderate loss in the 1970s. As the glaciers unground into the deeper, smoother beds inland, the mass loss from this region will grow considerably larger in years to come.
description: Data extracted in the frame of a joint ICSTI/PANGAEA IPY effort, see http://doi.pangaea.de/10.1594/PANGAEA.150150
description: Supplement to: Rignot, Eric (2008): Changes in West Antarctic ice stream dynamics observed with ALOS PALSAR data. Geophysical Research Letters, 35(12), L12505
DOI: 10.1594/pangaea.894481
title: Pollen profile of sediment core SIPOTEL, Sipotel, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net). Date analyzed: 1945
DOI: 10.1594/pangaea.754942
title: (Table 1) Distribution of oil slicks on the surface of the Red, Mediterranean and North seas, Persian Gulf, and English Channel

description: Observation height was 12 m.
DOI: 10.1594/pangaea.894486
title: Pollen profile of sediment core TATARU, Tataru, Romania

description: This dataset was archived on 2018-09-19 from the EPD database. (http://www.europeanpollendatabase.net). Date analyzed: 1942
DOI: 10.1594/pangaea.761423
title: Tab. 3: Counting of seals and penguins
DOI: 10.1594/pangaea.786385
title: (Table 1) Mass loss of the Greenland Ice Sheet

description: Using satellite radar interferometry observations of Greenland, we detected widespread glacier acceleration below 66° north between 1996 and 2000, which rapidly expanded to 70° north in 2005. Accelerated ice discharge in the west and particularly in the east doubled the ice sheet mass deficit in the last decade from 90 to 220 cubic kilometers per year. As more glaciers accelerate farther north, the contribution of Greenland to sea-level rise will continue to increase.
description: Position of glaciers estimated. Missing values of MB1996 and MB2005 columns are replaced by MB2000 column in totals.
description: Supplement to: Rignot, Eric; Kanagaratnam, Pannir (2006): Changes in the velocity structure of the Greenland Ice Sheet. Science, 311(5763), 956-990