cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.846807
title: Model simulation output data (CCSM3) related to uplift of African topography and the intensification of upwelling in the Benguela region

description: The Benguela Current, located off the west coast of southern Africa, is tied to a highly productive upwelling system**1. Over the past 12 million years, the current has cooled, and upwelling has intensified**2, 3, 4. These changes have been variously linked to atmospheric and oceanic changes associated with the glaciation of Antarctica and global cooling**5, the closure of the Central American Seaway**1, 6 or the further restriction of the Indonesian Seaway**3. The upwelling intensification also occurred during a period of substantial uplift of the African continent**7, 8. Here we use a coupled ocean-atmosphere general circulation model to test the effect of African uplift on Benguela upwelling. In our simulations, uplift in the East African Rift system and in southern and southwestern Africa induces an intensification of coastal low-level winds, which leads to increased oceanic upwelling of cool subsurface waters. We compare the effect of African uplift with the simulated impact of the Central American Seaway closure9, Indonesian Throughflow restriction10 and Antarctic glaciation**11, and find that African uplift has at least an equally strong influence as each of the three other factors. We therefore conclude that African uplift was an important factor in driving the cooling and strengthening of the Benguela Current and coastal upwelling during the late Miocene and Pliocene epochs.
description: The data was created by the CCSM3 model. The experiments that are considered are experiments run with 1) present.-day topography (HIGH) and 2) low African topography (LOW). The model results included are 100 year annual means. The ocean data comprise the upper 17 model layers. The atmospheric data was interpolated from model levels to 10 pressure levels. Included are model data from the ocean model POP and the atmosphere model CAM3.0 including the following variables: -atmospheric temperature -horizontal wind velocities -zonal and meridional wind stress -surface temperature -ocean temperature -vertical and horizontal oceanic velocity components -sensible and latent heat fluxes -radiative and heat fluxes
description: Supplement to: Jung, Gerlinde; Prange, Matthias; Schulz, Michael (2014): Uplift of Africa as a potential cause for Neogene intensification of the Benguela upwelling system. Nature Geoscience, 7(10), 741-747
DOI: 10.1594/pangaea.705786
title: Documentation of sediment core GIK13584-2
DOI: 10.1594/pangaea.705787
title: Documentation of sediment core GIK13585-1
DOI: 10.1594/pangaea.831439
title: Variation in sedimentation sources on the East Greenland Shelf

description: This record is a composite from sediment cores PO175/1_9, PO175/1_8 and PO175/1_7.
DOI: 10.1594/pangaea.878053
title: Geochemistry of Lake Verney sediment core
DOI: 10.1594/pangaea.757630
title: (Appendix) Major element analyses of glasses from dispersed tephra layers of ODP Site 120-747
DOI: 10.1594/pangaea.819297
title: (Table 2) Geochemistry of plagioclase at DSDP Holes 63-469 and 63-471

description: Formula basis = 8 oxygens.
DOI: 10.1594/pangaea.918199
title: Wave-in-ice Statistics from IS-2 (10/2018-09/2019)

description: Contains netcdf files with statistics from collected IS-2 data over the period from October 2018 to September 2019, which are used in Horvat, Blanchard-Wrigglesworth, and Petty (2020): Observing waves in sea ice from IS-2.Each month and beam (i.e. 2018-gt1l) contains relevant geographically collated information about wave affected fraction, dynamic topography, and other variables.A list of contents is given as README.txt with instructions for how to visualize.These netcdf files were compiled with the help of Lettie Roach (lettier@uw.edu).
DOI: 10.1594/pangaea.705789
title: Documentation of sediment core GIK13586-3
DOI: 10.1594/pangaea.831231
title: (Fig. 6B) Goodness-of-fit statistics per size class for seven end-member models with 2 - 10 end members of sediment core MD00-2361
DOI: 10.1594/pangaea.677740
title: Ozone measurements from station South Pole (1994-12)
DOI: 10.1594/pangaea.835589
title: Total sediment thickness grid of the Southern Pacific Ocean off West Antarctica, links to NetCDF files

description: Paleotopographic models of the West Antarctic margin, which are essential for robust simulations of paleoclimate scenarios, lack information on sediment thickness and geodynamic conditions, resulting in large uncertainties. A new total sediment thickness grid spanning the Ross Sea-Amundsen Sea-Bellingshausen Sea basins is presented and is based on all the available seismic reflection, borehole, and gravity modeling data offshore West Antarctica. This grid was combined with NGDC's global 5 arc minute grid of ocean sediment thickness (Whittaker et al., 2013, doi:10.1002/ggge.20181) and extends the NGDC grid further to the south. Sediment thickness along the West Antarctic margin tends to be 3-4 km larger than previously assumed. The sediment volume in the Bellingshausen, Amundsen, and Ross Sea basins amounts to 3.61, 3.58, and 2.78 million km³, respectively. The residual basement topography of the South Pacific has been revised and the new data show an asymmetric trend over the Pacific-Antarctic Ridge. Values are anomalously high south of the spreading ridge and in the Ross Sea area, where the topography seems to be affected by persistent mantle processes. In contrast, the basement topography offshore Marie Byrd Land cannot be attributed to dynamic topography, but rather to crustal thickening due to intraplate volcanism. Present-day dynamic topography models disagree with the presented revised basement topography of the South Pacific, rendering paleotopographic reconstructions with such a limited dataset still fairly uncertain.
description: Supplement to: Wobbe, Florian; Lindeque, Ansa; Gohl, Karsten (2014): Anomalous South Pacific lithosphere dynamics derived from new total sediment thickness estimates off the West Antarctic margin. Global and Planetary Change, 123, 139-149
DOI: 10.1594/pangaea.911299
title: Three largest midwinter thaw events over Greenland derived from Seawinds QuikScat 2000-2008 - Shape files
DOI: 10.1594/pangaea.705764
title: Documentation of sediment core GIK13521-1
DOI: 10.1594/pangaea.817108
title: (Table 3) The formation factors and salt-corrected porosities of DSDP Site 68-503
DOI: 10.1594/pangaea.757903
title: (Table 3) Analyses of sheet silicates of selected ODP Hole 119-738C samples

description: Calculations based on O = 22 and iron as Fe2+.
DOI: 10.1594/pangaea.695932
title: Radiosonde measurements from station De Aar (2005-01)

description: Station use digital radiosondes.
DOI: 10.1594/pangaea.816370
title: Results of a Finite-Element Sea-Ice Ocean Model (FESOM) set-up to study the interannual to decadal variability in the deep-water formation rates

description: The characteristics of a global set-up of the Finite-Element Sea-Ice Ocean Model under forcing of the period 1958-2004 are presented. The model set-up is designed to study the variability in the deep-water mass formation areas and was therefore regionally better resolved in the deep-water formation areas in the Labrador Sea, Greenland Sea, Weddell Sea and Ross Sea. The sea-ice model reproduces realistic sea-ice distributions and variabilities in the sea-ice extent of both hemispheres as well as sea-ice transport that compares well with observational data. Based on a comparison between model and ocean weather ship data in the North Atlantic, we observe that the vertical structure is well captured in areas with a high resolution. In our model set-up, we are able to simulate decadal ocean variability including several salinity anomaly events and corresponding fingerprint in the vertical hydrography. The ocean state of the model set-up features pronounced variability in the Atlantic Meridional Overturning Circulation as well as the associated mixed layer depth pattern in the North Atlantic deep-water formation areas.
description: Supplement to: Scholz, Patrick; Lohmann, Gerrit; Wang, Qiang; Danilov, Sergey (2013): Evaluation of a Finite-Element Sea-Ice Ocean Model (FESOM) set-up to study the interannual to decadal variability in the deep-water formation rates. Ocean Dynamics, 63(4), 347-370
DOI: 10.1594/pangaea.898416
title: Forest loss classified by forest disturbance type in the conterminous United States from 2003-2011

description: This dataset consists of 30 m spatial resolution forest cover loss, classified by disturbance type, for the conterminous United States for the period 2003-2011. Disturbance types considered include: stem removal, fire, and stress (for further detail see referenced article). The dataset is distributed as GeoTIFF format files and is based upon data from the University of Maryland Landsat-based Global Forest Change Product and Web-Enabled Landsat Data (WELD). The dataset described here is split into four files representing general United States regions: 'West_US.zip', 'Central_US.zip', 'Southeast_US.zip', and 'Northeast_US.zip'. U.S. regions can be referenced with the file 'US_region_map.jpg'. Each 30 m pixel is classified as one of the following classes: 0 - No loss in the current period, 1 - Stem removal, 2 - Fire, 3 - Stress, and 255 - No data. Further information on classes can be found in the referenced article. Files are in GeoTIFF format using a geographic coordinate system based on the World Geodetic System (WGS84) reference ellipsoid and using the Albers Equal Area projection with standard parallels of 29.5 degrees N and 45.5 degrees N and a central Meridian of 96 degrees W. For further information on the dataset and its format see the referenced article.
description: Supplement to: Huo, Lian-Zhi; Boschetti, Luigi; Sparks, Aaron M (2019): Object-Based Classification of Forest Disturbance Types in the Conterminous United States. Remote Sensing, 11(5), 477
DOI: 10.1594/pangaea.832189
title: (Table 2) Age determination of ODP Hole 117-724B
DOI: 10.1594/pangaea.834333
title: Ceilometer raw data measured at Neumayer Station (2009-03), links to files
DOI: 10.1594/pangaea.834353
title: Ceilometer raw data measured at Neumayer Station (2010-11), links to files
DOI: 10.1594/pangaea.806982
title: (Table 7) Geochemistry of the basalt alteration products at DSDP Hole 81-554
DOI: 10.1594/pangaea.817078
title: (Table 1) Magnetic properties of specimens from DSDP Hole 68-503A

description: Measurements were made of the magnetic properties of 13 sediment samples from cores spanning the entire depth of Hole 503A. The principal aim was to make a preliminary assessment of the magnetic fabric of material obtained from hydraulic piston coring (HPC) which, though considerably bioturbated, might retain substantial traces of any depositional alignment of magnetic grains. Earlier measurements on Deep Sea Drilling Project cores (Rees, 1971; Rees and Frederick, 1974; Hailwood and Sayre, 1979) suggested that the improved HPC sampling technique should, other things being equal, provide good magnetic fabric information. The Hole 503A sediments were known from shipboard measurements to possess comparatively strong stable remanence and therefore seemed likely subjects for this assessment.
description: All magnitudes are quoted in emu.
DOI: 10.1594/pangaea.818111
title: (Table 11) Geochemistry of smectites at DSDP Hole 65-483A
DOI: 10.1594/pangaea.667131
title: (Table 1) Element concentrations of basalts from ODP Hole 124-770C, Celebes Basin, western Pacific
DOI: 10.1594/pangaea.820183
title: (Table 3) Major elements of basalts at DSDP Sites 60-454 and 60-456
DOI: 10.1594/pangaea.834360
title: Ceilometer raw data measured at Neumayer Station (2011-06), links to files
DOI: 10.1594/pangaea.816576
title: A probabilistic model estimating oil spill clean-up costs - a case study for the Gulf of Finland

description: Existing models estimating oil spill costs at sea are based on data from the past, and they usually lack a systematic approach. This make them passive, and limits their ability to forecast the effect of the changes in the oil combating fleet or location of a spill on the oil spill costs.In this paper we make an attempt towards the development of a probabilistic and systematic model estimating the costs of clean-up operations for the Gulf of Finland. For this purpose we utilize expert knowledge along with the available data and information from literature. Then, the obtained information is combined into a framework with the use of a Bayesian Belief Networks. Due to lack of data, we validate the model by comparing its results with existing models, with which we found good agreement.We anticipate that the presented model can contribute to the cost-effective oil-combating fleet optimization for the Gulf of Finland. It can also facilitate the accident consequences estimation in the framework of formal safety assessment (FSA).
description: Supplement to: Montewka, Jakub; Weckström, Mia; Kujala, Pentti (2013): A probabilistic model estimating oil spill clean-up costs – A case study for the Gulf of Finland. Marine Pollution Bulletin, 76(1-2), 61-71
DOI: 10.1594/pangaea.744731
title: (Table 4) Chemical composition of olivines of basalts from lavas of the Spiess Ridge
DOI: 10.1594/pangaea.828332
title: Core summary for IODP Hole 323-U1344D
DOI: 10.1594/pangaea.832993
title: Empirical Orthogonal Function (EOF) decomposition of the reconstructed monthly sea level anomaly fields from 1901-09 to 2008-05 with link to NetCDF file

description: This data set contains the EOF decomposition of the reconstructed monthly sea level anomaly (SLA) fields from 1901-09 to 2008-05. The decomposition consists of the global mean sea level anomaly (GMSLA), 12 Empirical Orthogonal Functions (EOF's) estimated from filtered altimetry data (source: CSIRO sea level web page, http://www.cmar.csiro.au/sealevel/sl_data_cmar.html) and the corresponding monthly Principal Components (PC's). The stored GMSLA and PC's are reconstructed using data from 178 tide gauges (see Wenzel and Schröter,2014, for details) considering nine different sets of constraints. The method of reconstruction as well as the constraints are described in Wenzel and Schröter (2014). NOTE: there is no annual cycle in the reconstructed timeseries! The GMSLA is stored as part of the PC and EOF arrays with pcnum=0. The monthly sea level anomaly (SLA) fields can finally be composed from the PC's and the EOF's by matrix multiplication: SLA(time,lat,lon) = PC(time,pcnum). EOF(pcnum,lat,lon) as outlined in Wenzel and Schröter (2014).
DOI: 10.1594/pangaea.783513
title: (Table T5) Major element oxides of glass shards from ODP Holes 186-1150A and 186-1151C tephra
DOI: 10.1594/pangaea.832053
title: (Table TS07) Lithic grains of sediment core RC11-87
DOI: 10.1594/pangaea.832054
title: (Table TS08) Carbonate content of sediment core RC17-55
DOI: 10.1594/pangaea.810931
title: (Table 5) Major element chemistry of sedimentary deposits at DSDP Hole 73-520, recalculated on CaO-free basis
DOI: 10.1594/pangaea.832153
title: Circumpolar surface soil moisture and freeze/thaw surface status remote sensing products (version 4) with links to geotiff images and NetCDF files (2007-01 to 2013-12)

description: This dataset is a partial update of the ESA Data User Element (DUE) Permafrost Full Product Set (doi:10.1594/PANGAEA.780111).The ASCAT Surface Status as well as the Surface Soil Moisture (SSM) Product is derived from the ASCAT sensor onboard Metop satellite. The surface status (also called freeze/thaw information) is described in Naeimi et al. (2012). The soil moisture derivation algorithm is based on a change detection method initially proposed by Wagner et al. (1999). ASCAT SSM product is the result of an improved SSM retrieval algorithm developed at the Institute for Photogrammetry and Remote Sensing (IPF) of the Vienna University of Technology (Naeimi et al., 2009). The SSM Product as defined in the DUE Permafrost project (Bartsch & Seifert 2012) is delivered as weekly average and with 25km spatial resolution. This average is derived on a daily basis for the preceding week in accordance with the DUE GlobSnow product definitions. The daily surface status information is valid for the given date. The circumpolar dataset covers the years 2007 - 2013 north of 50°N.The ASCAT Level 2 product including soil moisture data are produced by EUMETSAT in near-real time following the method developed and prototyped for EUMETSAT by the IPF. ASCAT data are distributed primarily via EUMETCast system and are available within about 2 hours after acquisition. Data are also accessible through EUMETSAT Data Centre.For integration into the Permafrost Information System ASCAT data are resampled to a Discrete Global Grid (DGG). The DGG is an adapted sinusoidal grid using an ellipsoid based on the GEM6 model (Kidd 2005).The soil moisture product also includes a quality flag which contains the number used measurements. Data are masked for frozen ground conditions also based on MetOp ASCAT. The frozen ground information (surface state flag) has been improved within the ESA STSE ALANIS project (http://www.alanis-methane.info) and is included in this dataset. Surface status information is provided for each single day.
DOI: 10.1594/pangaea.832453
title: Methanol and ethanol analysis of sediment core AT18-2_13
DOI: 10.1594/pangaea.832057
title: (Table TS11) Carbonate content of sediment core V19-225
DOI: 10.1594/pangaea.905142
title: Stalagmite 87Sr/86Sr records from Jaraguá cave, Brazil
DOI: 10.1594/pangaea.705609
title: Documentation of sediment core GIK12329-5
DOI: 10.1594/pangaea.705610
title: Documentation of sediment core GIK12329-6
DOI: 10.1594/pangaea.705729
title: Documentation of sediment core GIK13168-1
DOI: 10.1594/pangaea.914358
title: Geopositioning time series from offshore platforms in the Adriatic Sea

description: We provide a dataset of 3D coordinate time series of 37 continuous GNSS stations installed on onshore and offshore industrial settlements along a NW-SE-oriented and ~100-km-wide belt encompassing the eastern Italian coastal area and the Adriatic Sea. The dataset results from the analysis performed by using different geodetic software (Bernese, GAMIT/GLOBK and GIPSY) and is constituted by 6 raw position time series solutions (in ASCII pos format), referred to IGb08 and ITRF2014 reference frames.
description: The raw time series have been stored into a single zip file in different folders and accordingly renamed based on the solutions below described:- Solution IBO_GAMIT by Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Bologna. Software: GAMIT (Ver. 10.70)+QOCA. Reference frame: IGb08.- Solution IOE_GAMIT by Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo - Sezione di Catania. Software: GAMIT/GLOBK (Ver. 10.70). Reference frame: IGb08.- Solution ONT_BERNESE by Istituto Nazionale di Geofisica e Vulcanologia - Osservatorio Nazionale Terremoti. Software: Bernese (ver 5.0). Reference frame: IGb08.- Solution ONT_GIPSY by Istituto Nazionale di Geofisica e Vulcanologia - Osservatorio Nazionale Terremoti. Software: Gipsy (ver. 6.3). Reference frame: ITRF2014.- Solution UBO_GAMIT by Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali - Università di Bologna. Software: GAMIT/GLOBK (Ver. 10.61). Reference frame: IGb08.- Solution UBO_GIPSY by Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali - Università di Bologna. Software: GipsyX (Ver. rc0.4). Reference frame: IGb08. We included in the same repository:● A file, named “ENI_Offsets.json”, containing all manually picked offsets; as mentioned above it can be used as input for later use in the TSAnalyzer software.● Logs files as resulting from the analysis performed with the TSAnalyzer software; the logs files have been renamed accordingly to the associated solution.● Phasor diagrams for each station in png format. Top: annual signals; bottom: semiannual signals. Amplitudes of the estimated sine and cosine parameters are plotted for the North, East and Up components. The upper-right plot represents the key to correlate the maxima phase direction with the day year period. Phases are referred to January 1 and time increases clockwise.● Plots of row, modelled and residual time series in png format. Panels on the left show the North, East and Up components of i) all the row time series (red points) after correcting offsets and of ii) the modelled time time series (continuous blue line). Panels on the right show the residual (with respect to the estimated model) North, East and Up components.● Time series comparison plots in png format. Each time series is reported after correcting offsets and removing the linear trend.
DOI: 10.1594/pangaea.712785
title: Main and trace element geochemistry of sediment core POS158/1_0004/1
DOI: 10.1594/pangaea.705657
title: Documentation of sediment core GIK12678-1
DOI: 10.1594/pangaea.705611
title: Documentation of sediment core GIK12331-1
DOI: 10.1594/pangaea.821271
title: (Table 24) Geochemistry and minerals of basalts from DSDP Hole 59-451
DOI: 10.1594/pangaea.797441
title: (Appendix B) Major element oxides of ODP Hole 167-1017E sediments

description: Sediment depth is given in corrected mbsf.
DOI: 10.17632/gfzppjcsjy.1
title: Computer vision model for sorghum aphid detection using deep learning

description: Imagery collected will be shared upon request because of limited storage capacity on the Mendeley Data cloud. The computer algorithms used in this study are attached.
DOI: 10.1594/pangaea.705731
title: Documentation of sediment core GIK13203-1
DOI: 10.1594/pangaea.832385
title: Calcium (Ca), Titanium (Ti) and iron (Fe) intensity XRF logs and ln-ratio between Ti and Ca of sediment core GeoB10065-7
DOI: 10.1594/pangaea.736314
title: Radiosonde measurements from station Lindenberg (2001-11)
DOI: 10.1594/pangaea.705732
title: Documentation of sediment core GIK13205-1
DOI: 10.1594/pangaea.887172
title: Ultra-violet measurements from station Carpentras (2018-01)
DOI: 10.1594/pangaea.548873
title: Physical oceanography at CTD station Chan_2003-10-17_15, Chanavallita, Chile
DOI: 10.1594/pangaea.779754
title: Regional water bodies remote sensing products with links to geotiff images

description: Water is a class in all available global and regional land cover maps. The spatial resolution of those existing products ranges between 300 m to 1 km. The majority of lakes within tundra environment is however much smaller than the spatial resolution of those maps. ENVISAT ASAR Wide Swath data with 150 m resolution can identify 50% more open water surface areas than land over maps based on MODIS (Bartsch et al. 2008) and allows regular (annual) updates on regional scale.The DUE Permafrost SAR processing subsystem for the Water Bodies (WB) product uses ENVISAT ASAR Wide Swath level 1b data, a Digital Elevation Model and orbit state vector information (e.g. DORIS files).The data cover the years 2007 to 2011 for the regional sites Ob Estuary, Alaska, Mackenzie and Laptev Sea Coast. Product availability is limited due to availability of ASAR WS data. The site Central Yakutia is not included from 2009 to 2011 because of this problem.The Water Bodies maps represent extent of water bodies for the summer months and are produced on an annual basis. The unit is a binary indicator with the pixel value 1 representing water and 0 representing non-water. In addition to the water body indicator the number of measurements used to derive the water bodies product are also provided.See hdl:10013/epic.39140.d008 for an overview figure. The product guide: hdl:10013/epic.39140.d007.This dataset is part of the ESA Data User Element (DUE) Permafrost Full Product Set (doi:10.1594/PANGAEA.780111).
DOI: 10.1594/pangaea.705629
title: Documentation of sediment core GIK12654-1
DOI: 10.1594/pangaea.859785
title: Continuous thermosalinograph oceanography along HEINCKE cruise track HE425