cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.896938
title: Isoscape of precipitation weighted annual mean tritium activities across the Adriatic-Pannonian Region (1976-2017); AP3H_v1 database

description: Precipitation weighted annual mean tritium activities have been calculated from tritium records of 41 precipitation stations covering the Adriatic-Pannonian Region with a focus on Slovenia and Hungary. The monthly 3H data were checked for database errors via sequential univariate outlier detection on the amount-weighted annual averages. If more than 15% of the annual sum precipitation amount did not have corresponding tritium measurements at a given station, then it was discarded from interpolation for the sake of result robustness.The final data density allowed to establish interpolated (1 x 1 km) products using point kriging. The weights for kriging were obtained from Gaussian semivariograms assuming isotropy. The 42 annual grids were combined into the AP3H_v1 database.For out-of-sample verification of the data and further details, the user is referred to the accompanying data description paper.Tritium concentrations are expressed in tritium units (TU; 1TU = 0.118 Bq kg^-1^)
DOI: 10.1594/pangaea.898345
title: Sea-bed videos (benthos) from the shelf west of Svalbard along ROV profile HE153/1289-4

description: Positions and depths from the ship's automatic data recording system. The ROV-system sprint 103 was equipped with two video- and one 36mm still camera, lights, flash-lights, compass, and parallel lasers providing a scale in the images, a tether-management system (TMS), a winch, and the board units. All cameras used the same main lens and could be tilted. Videos were recorded in Betacam-format. Videos were uploaded for documentation reasons independently of partly low quality due to a ROV driving strategy responding to varying environmental conditions such as sunlight and turbidity. Photographs along the same ROV-transect are available at https://doi.pangaea.de/10.1594/PANGAEA.320062. J. Gutt: mailto:Julian.Gutt@awi.de
DOI: 10.1594/pangaea.828901
title: Pass-through measurements of magnetic susceptibility from IODP Hole 339-U1387B

description: Geocode = Depth CSF-A (m)
DOI: 10.1594/pangaea.897265
title: Number of microplastic particles on periwinkle pedal mucus in experimental setups

description: The rapid dissemination of microplastics in many habitats of the oceans has raised concerns about the consequences for marine biota and ecosystems. Many adverse effects of microplastics on marine invertebrates are consequences of ingestion. Accordingly, the identification of mechanisms that facilitate the uptake of microplastics is essential for the evaluation of possible implications for marine organisms and food webs. Gastropods produce mucus for locomotion. Gastropod pedal mucus naturally retains formerly suspended micro-organisms, such as bacteria, microalgae, and seaweed spores. The retained organisms are consumed by gastropods that forage on pedal mucus. Here, we investigated the potential of gastropod pedal mucus to retain suspended microplastic particles and make them available for ingestion by periwinkles that forage on the contaminated mucus. In laboratory experiments, mucus of the periwinkles Littorina littorea and Littorina obtusata efficiently retained microplastics. Retention of microplastics varied between mucus from conspecifics of different size but not between mucus from either species. The density of microplastics in mucus trails increased concomitantly with the experimental particle concentration but was independent of incubation time. Aging of mucus and, particularly, desiccation affected the retention of microplastics. Periwinkles ingested microplastics when foraging on the contaminated mucus. Our results reveal a functional link between biogenic accumulation of microplastics and their trophic transfer by marine benthic herbivores into marine food webs.
description: Tabs of the xlsx correspond to the respective experiments described in the published article.
description: Supplement to: Gutow, Lars; Bartl, Kevin; Saborowski, Reinhard; Beermann, Jan (2019): Gastropod pedal mucus retains microplastics and promotes the uptake of particles by marine periwinkles. Environmental Pollution, 246, 688-696
DOI: 10.1594/pangaea.897299
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2019010712

description: INITIALIZATION: 2019010712FORECASTS:12-hrly out to 7.5 days (t180)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.811350
title: (Table 1) Stable oxygen and carbon isotopic ratios of tree rings, and tree ring width of white spruce (Picea glauca), Ennadai Lake

description: Stable isotope ratios from tree rings and peatland mosses have become important proxies of past climate variations. We here compare recent stable carbon and oxygen isotope ratios in cellulose of tree rings from white spruce (Picea glauca), growing near the arctic tree line; and cellulose of Sphagnum fuscum stems, growing in a hummock of a subarctic peatland, in west-central Canada. Results show that carbon isotopes in S. fuscum correlate significantly with July temperatures over the past ~20 yr. The oxygen isotopes correlate with both summer temperature and precipitation. Analyses of the tree-ring isotopes revealed summer temperatures to be the main controlling factor for carbon isotope variations, whereas tree-ring oxygen isotope ratios are controlled by a combination of spring temperatures and precipitation totals. We also explore the potential of combining high-frequency (annual) climate signals derived from long tree-ring series with low-frequency (decadal to centennial) climate signals derived from the moss remains in peat deposits. This cross-archive comparison revealed no association between the oxygen isotopes, which likely results from the varying sensitivity of the archives to different seasons. For the carbon isotopes, common variance could be achieved through adjustments of the Sphagnum age model within dating error.
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: Holzkämper, Steffen; Tillman, Päivi Kaislahti; Kuhry, Peter; Esper, Jan (2012): Comparison of stable carbon and oxygen isotopes in Picea glauca tree rings and Sphagnum fuscum moss remains from subarctic Canada. Quaternary Research, 78(2), 295-302
DOI: 10.1594/pangaea.897315
title: CICE output from Navy Earth System Prediction Capability (ESPC) for 2019010512

description: INITIALIZATION: 2019010512FORECASTS: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.897316
title: CICE output from Navy Earth System Prediction Capability (ESPC) for 2019010612

description: INITIALIZATION: 2019010612FORECASTS: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.792883
title: Physical oceanography and current meter data from mooring F2

description: Gear ID 1: RCM7/8, SN 10907; Gear ID 2: RCM7/8, SN 4040; Gear ID 3: RCM7/8, SN 5294; Gear ID 4: RCM7/8, SN 9193; Gear ID 5: SBE37, SN 138
DOI: 10.1594/pangaea.898270
title: River morphology and survey point density data from the Logie Burn, Scotland (2011 to 2014), links to files in GeoTIFF format
DOI: 10.1594/pangaea.912536
title: Basic measurements of radiation at station Cener (2019-11)
DOI: 10.1594/pangaea.912537
title: Basic measurements of radiation at station Cener (2019-12)
DOI: 10.1594/pangaea.896907
title: Remotely sensed surface velocities, Lagrangian basal melt rates, terminus positions, grounding lines as well as modelling results of Peterman Glacier (northern Greenland)

description: This study assesses the response on ice dynamics of Petermann Glacier, a major outlet glacier in northern Greenland, to the 2012 and a possible future calving event. So far Petermann Glacier has been believed to be dynamically stable as another large calving event in 2010 had no significant impact on flow velocity or grounding line retreat. By analyzing a time series of remotely sensed surface velocities, we find an average acceleration of 10% between winter 2011/2012 and winter 2016/2017. This increase in surface velocity is not linear but can be separated into two parts, starting in 2012 and 2016 respectively. By conducting modelling experiments, we show that the first speed-up can be directly connected to the 2012 calving event, while the second speed-up is not captured. However, on recent remote sensing imagery newly developing fractures are clearly visible ~12,km upstream from the terminus, propagating from the eastern fjord wall to the center of the ice tongue, indicating a possible future calving event. By including these fracture zones as a new terminus position in the modelling domain we are able to reproduce the second speed-up, suggesting that surface velocities remain on the 2016/2017 level after the anticipated calving event. This indicates that, from a dynamical point of view, the terminus region has already detached from the main ice tongue.
description: Supplement to: Rückamp, Martin; Neckel, Niklas; Berger, Sophie; Humbert, Angelika; Helm, Veit (2019): Calving Induced Speedup of Petermann Glacier. Journal of Geophysical Research-Earth Surface
DOI: 10.1594/pangaea.484910
title: Sea surface temperature data during cruise Hvidfirken_18860430

description: Values of air and water temperature are corrected if corrections are given. If correction value is missing, it is taken 0.0. If correction is given for a range of temperature, particular value is computed by linear interpolation.
DOI: 10.1594/pangaea.894686
title: The fate of carbon and nutrients exported out of the Southern Ocean, links to model results

description: 4-year means of 2D fields CO2 flux, nanophytoplankton NPP, diatom NPP, carbon export, and of 3D fields DIN, DIC, DSi, DFe, nanophytoplankton carbon biomass, diatom carbon biomass, detritus carbon.Six 200-year simulations as described in Table 1 in the paper:CTRLNOBIONOBIOGASEXCTRL-diseqNOBIO-diseqNOBIOGASEX-diseqFilenames start with above mentioned simulation names and then "diag2" for 2d fields and "TRACdiag" for 3d tracer fields.
description: Supplement to: Hauck, Judith; Lenton, Andrew; Langlais, Clothilde; Matear, Richard J (2018): The fate of carbon and nutrients exported out of the Southern Ocean. Global Biogeochemical Cycles, 32(10), 1556-1573
DOI: 10.1594/pangaea.886176
title: MFM and microscope images of Hawaiian lavas, sample HW-3

description: Raw data files were added on 2018-05-15.
DOI: 10.1594/pangaea.893149
title: Experiment of light effects on phytoplankton morphometric traits and nutrient utilization: abundances in nutrient experiment

description: Light intensity for the second experimental phase (Nutrient) was set at the moderately limiting to saturating conditions (medium light: 72 µmol quanta m-2 s-1) for all treatments.
DOI: 10.1594/pangaea.896615
title: High-resolution daily precipitation estimation data derived from Wuhan University Satellite and Gauge precipitation Collaborated Correction method (WHU-SGCC) in TIFF format

description: A daily precipitation estimation derived from WHU-SGCC method blending daily precipitation gauge data, gridded precipitation data and the Climate Hazards Group Infrared Precipitation (CHIRP, daily, 0.05°) satellite-derived precipitation estimates over Jinsha River Basin in summer 2016.
description: The differences between the this version and the new version (https://doi.org/10.1594/PANGAEA.900620) are: 1) different study period; 2) different input data; 3) modified WHU-SGCC method
DOI: 10.1594/pangaea.829220
title: Point measurements of magnetic susceptibility from IODP Hole 340-U1400C

description: Geocode = Depth CSF-A (m)
DOI: 10.1594/pangaea.895742
title: A monthly air temperature and precipitation gridded dataset on 0.025° spatial resolution in China during 1951-2011

description: The monthly air temperature in 1153 stations and precipitation in 1202 stations in China and neighboring countries were collected to construct a monthly climate dataset in China on 0.025 ° resolution (approximately 2.5 km) named LZU0025 dataset designed by Lanzhou University (LZU), using a partial thin plate smoothing method embedded in the ANUSPLIN software. The accuracy of the LZU0025 was evaluated from analyzing three aspects: 1) Diagnostic statistics from surface fitting model in the period of 1951-2011, and results show low mean square root of generalized cross validation (RTGCV) for monthly air temperature surface (1.1 °C) and monthly precipitation surface (2 mm1/2) which interpolated the square root of itself. This indicate exact surface fitting models. 2) Error statistics based on 265 withheld stations data in the period of 1951-2011, and results show that predicted values closely tracked true values with mean absolute error (MAE) of 0.6 °C and 4 mm and standard deviation of mean error (STD) of 1.3 °C and 5 mm, and monthly STDs presented consistent change with RTGCV varying. 3) Comparisons to other datasets through two ways, one was to compare three indices namely the standard deviation, mean and time trend derived from all datasets to referenced dataset released by the China Meteorological Administration (CMA) in the Taylor diagrams, the other was to compare LZU0025 to the Camp Tibet dataset on mountainous remote area. Taylor diagrams displayed the standard deviation derived from LZU had higher correlation with that induced from CMA (Pearson correlation R=0.76 for air temperature case and R=0.96 for precipitation case). The standard deviation for this index derived from LZU was more close to that induced from CMA, and the centered normalized root-mean-square difference for this index derived from LZU and CMA was lower. The same superior performance of LZU were found in comparing indices of the mean and time trend derived from LZU and those induced from other datasets. LZU0025 had high correlation with the Camp dataset for air temperature despite of insignificant correlation for precipitation in few stations. Based on above comprehensive analyses, LZU0025 was concluded as the reliable dataset.
description: Supplement to: Zhao, Hong; Huang, Wei; Xie, Tingting; Wu, Xian; Xie, Yaowei; Feng, Song; Chen, Fahu (2019): Optimization and evaluation of a monthly air temperature and precipitation gridded dataset with a 0.025° spatial resolution in China during 1951-2011. Theoretical and Applied Climatology, 1-17
DOI: 10.1594/pangaea.919726
title: Relative paleointensity (RPI) and virtual geomagnetic pole (VGP) latitude of IODP Hole 303-U1305A at the Matuyama-Brunhes boundary
DOI: 10.1594/pangaea.928774
title: ITRAX data from living mangrove trees in the Gulf of Carpentaria, Australia, upper intertidal site T5-2

description: A massive mangrove dieback event occurred in 2015/2016 along ~1000 km of pristine coastline in the Gulf of Carpentaria, Australia. Elemental analysis of wood cross sections of Avicennia marina revealed 30-90 fold increase in Fe concentrations in dead mangroves just prior to their mortality. This ITRAX data contains multiple elements with radiocarbon dates from the beginning of the trees life to the time of sampling from site T5-2 in the upper intertidal zone.
DOI: 10.1594/pangaea.829130
title: Gas measurements from IODP Hole 340-U1398A

description: Geocode = Top depth CSF-A (m)
DOI: 10.1594/pangaea.895681
title: Global ecological impacts of marine exotic species
DOI: 10.1594/pangaea.896714
title: Ultra-violet measurements from station Carpentras (2018-10)
DOI: 10.1594/pangaea.829283
title: P-Wave velocity (PWL) from IODP Hole 340-U1399B

description: Geocode = Depth CSF-A (m)
DOI: 10.1594/pangaea.896618
title: List of taxa in the OFOS photographic survey images and in Agassiz trawl samples during POLARSTERN cruise PS80 (ARK-XXVII/3, IceArc)

description: A photographic survey was carried out during the expedition ARK-XXVII/3 to the Nansen and Amundsen basins. The seafloor was photographed using a towed Ocean Floor Observation System (OFOS). Nine transects were performed: four in the Nansen Basin between 83-84°N and 18-110°E at depths 3571-4066 m, and five in the Amundsen Basin between 83-89°N and 56-131°E at depths 4041-4384 m. All images were analysed and stored using the image analysis program and database BIIGLE (BIIGLE.de). Visible megafauna was identified to the lowest possible taxonomic level. Taxonomic identifications were made with the assistance of zoological experts. The following taxa/organisms were excluded from statistical analyses: infauna represented only by surface traces, gelatinous zooplankton, small-size organisms (&lt; 1 cm) and organisms that could not be identified at least to the phylum level. Frequency of occurrence at transects of different taxa was evaluated. Agassiz trawls were taken next to the photographic transects to obtain specimens for verification of taxonomic identifications based on images. In areas of stations 8 and 9 the thick ice prevented trawling operations.
description: Frequency of occurrence at transect:0 – no occurrence1 – met less than ten images (for transects 7 and 9: 1 - met less than five images)2 – met from ten to quarter of images3 – met from quarter to half of images4 - met from half to three-quarter of images5 – met from three-quarter to all images6 – species occurred at trawl samples.
DOI: 10.1594/pangaea.896639
title: Physical oceanography from mooring KPO_1111

description: mooring_id = kpo_1111latitude = 52.8656longitude = -51.4786principal_investigator = Johannes Karstenseninstrument = Label:kpo_1111_01 File:OS_OSNAP-3505_KPO_1111_K7_201408_D_MCTD_OSNAPstyleOceanSITES.nc Type: Seabird MicroCat SN:3505instrument = Label:kpo_1111_02 File:OS_OSNAP-3507_KPO_1111_K7_201408_D_MCTD_OSNAPstyleOceanSITES.nc Type: Seabird MicroCat SN:3507instrument = Label:kpo_1111_03 File:OS_OSNAP-2614_KPO_1111_K7_201408_D_MCTD_OSNAPstyleOceanSITES.nc Type: Seabird MicroCat SN:2614instrument = Label:kpo_1111_04 File:OS_OSNAP-5573_KPO_1111_K7_201408_D_CM_OSNAPstyleOceanSITES.nc Type: Aanderaa RCM 8 SN:5573instrument = Label:kpo_1111_05 File:OS_OSNAP-3503_KPO_1111_K7_201408_D_MCTD_OSNAPstyleOceanSITES.nc Type: Seabird MicroCat SN:3503instrument = Label:kpo_1111_06 File:OS_OSNAP-11576_KPO_1111_K7_201408_D_CM_OSNAPstyleOceanSITES.nc Type: Aanderaa RCM 8 SN:11576instrument = Label:kpo_1111_07 File:OS_OSNAP-10691_KPO_1111_K7_201408_D_MCTD_OSNAPstyleOceanSITES.nc Type: Seabird MicroCat SN:10691instrument = Label:kpo_1111_08 File:OS_OSNAP-4998_KPO_1111_K7_201408_D_CM_OSNAPstyleOceanSITES.nc Type: Aanderaa RCM 8 SN:4998instrument = Label:kpo_1111_09 File:OS_OSNAP-10633_KPO_1111_K7_201408_D_MCTD_OSNAPstyleOceanSITES.nc Type: Seabird MicroCat SN:10633instrument = Label:kpo_1111_10 File:OS_OSNAP-11617_KPO_1111_K7_201408_D_CM_OSNAPstyleOceanSITES.nc Type: Aanderaa RCM 8 SN:11617instrument = Label:kpo_1111_11 File:OS_OSNAP-10704_KPO_1111_K7_201408_D_MCTD_OSNAPstyleOceanSITES.nc Type: Seabird MicroCat SN:10704
DOI: 10.1594/pangaea.893599
title: 05. Annual glacier elevation change rate raster dataset, South American Andes, Dessert Andes 2000 and 2011-2015

description: The dataset is a mosaic of several dh/dt fields for the region '05 Dessert Andes' according the nomenclature of regions taken from Nature Climate Change Paper 'Glacier elevation and mass changes over entire South America between 2000 and 2011–15'. The product is derived from differencing of TanDEM-X and SRTM Digital Elevation Models. All TanDEM-X products were processed by the authors (cf. referenced paper for methods description).
DOI: 10.1594/pangaea.896396
title: Snow Water Equivalent in the Western US (1982 - 2017)

description: These data describes changes in western US snow water equivalent (SWE) over the 1982–2017 water years. This includes observations of SWE from the NRCS SNOTEL network, the parameters used to fit the observed annual cycles of SWE to a gamma distribution PDF, and the parameters needed to recreate western US SWE on an equal angle grid. SWE values for the beginning of the water years in the fitted and fitted+interpolated values are overestimated. Thus, these data do not constitute a continuous time series from one year to the next. This is due to the fact that the tail of the Gamma distribution PDF does not drop off quickly enough to capture the rise in SWE at the beginning of the water year.
description: Raw_SWE.nc: This file contains the SNOTEL station data used to create the fitted and fitted+interpolated files. This file contains the snow water equivalent (SWE) measurements (units are cm), the stations' lats and lons (units in degrees longitude and latitude), the water year day (with day 1 being October 1), and the years. Fitted_SWE.nc: This file contains coefficients to recreate annual time series of SWE, for the stations in "Raw_SWE.nc", via the first of a gamma distribution PDF to the observed annual SWE time series. To recreate the SWE time series, use Equation 2 in the above cited paper: SWE = C * (((zeta-x)/beta)^(alpha-1)*exp((x-zeta)/beta))/(beta*Gamma(alpha)) where "x" is the water year day and "Gamma(alpha)" is the gamma function with "alpha" as its argument. Fitted_Interpolated_SWE.nc: This file is similar to "Fitted_SWE.nc" except that the observed SWE data has additionally been spatially interpolated to an equal angle grid. Variables otherwise have the same definitions for the above files.
description: Supplement to: Evan, Amato T (2019): A New Method to Characterize Changes in the Seasonal Cycle of Snowpack. Journal of Applied Meteorology and Climatology, 58(1), 131-143
DOI: 10.1594/pangaea.894823
title: (Figure 06) Particle number size distributions between 90 nm and 1 μm (first season)
DOI: 10.1594/pangaea.894828
title: (Figure 06) Proportions air masses spend over different regions (first season)
DOI: 10.1594/pangaea.894834
title: (Figure 07) Proportions air masses spend over different regions (second season)
DOI: 10.1594/pangaea.829256
title: P-Wave velocity (PWC) from IODP Hole 340-U1396C

description: Geocode = Depth CSF-A (m)
DOI: 10.1594/pangaea.829268
title: P-Wave velocity (PWC) from IODP Hole 340-U1401C

description: Geocode = Depth CSF-A (m)