cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.917488
title: COSMOS simulated basic surface ocean characteristics for comparison with palynological data

description: Here we provide simulated seasonal (DJF and JJA) sea surface temperature (THO), sea surface salinity (SAO) as well as surface zonal (UKO) and meridional (VKE) ocean currents velocities. THO and SAO are provided on the regular grid in 360x180 resolution while UKO and VKE on the curvilinear grid in 122x101 resolution (which is the resolution of the ocean component MPIOM). The simulations were produced with COSMOS in a coupled atmosphere-ocean configuration. All of the simulations were run with 4 x pre-industrial (PI) CO2 level (1120 ppm). The experiments differ by alterations in gateway configurations between the Arctic Ocean and North proto-Atlantic Basin. Our spin-up experiment (C-1120) employs Maastrichtian (~70 Ma) paleogeography of Markwick and Valdes [2004, doi:10.1016/j.palaeo.2004.06.015]. The experiment was run to the model year 10 600. Two other experiments were branched off from C-1120 from the model year 9200. One of them differs from C-1120 by the closure of Hudson Seaway (HUD-0) and was run for the next 1400 years. The other one (GNS-47) has each gateway between the Arctic Ocean and North proto-Atlantic basin closed apart Greenland-Norwegian Sea and was run for the next 2100 years. More information about the geological background and COSMOS configuration can be found in Radmacher et al. [2020, doi:10.1127/nos/2019/0527].
DOI: 10.1594/pangaea.663221
title: Oceanography at CTD/bottle station IFREMER_0061
DOI: 10.1594/pangaea.664571
title: Oceanography at CTD/bottle station IFREMER_1411
DOI: 10.1594/pangaea.917557
title: A homogenized daily in situ PM2.5 concentration dataset in China during 2015-2019

description: A five-year long homogenized daily in situ PM2.5 concentration dataset was generated on the basis of discrete data records retrieved from the China National Environmental Monitoring Center (CNEMC) via a web crawler during 2015-2019. A set of methods for the purposes of gap filling, data merging, homogeneity test, and bias correction were geared up seamlessly to improve the data integrity and to make essential adjustments to the inherent discontinuities detected in each PM2.5 concentration record. After essential quality control, a dataset including 1,309 long-term coherent yet temporally complete PM2.5 concentration time series at a daily resolution between 2015 and 2019 was carefully compiled.
DOI: 10.1594/pangaea.664970
title: Oceanography at CTD/bottle station IFREMER_1810
DOI: 10.1594/pangaea.869911
title: West Coast time Series Coastal Zone Color Scanner Imagery - Volume 1, Version 2 (1979-1981) - ISO-image of CD

description: This is the first CD-ROM of a series of volumes containing images returned by the Nimbus-7 Coastal Zone Color Scanner (CZCS) of the western coastal region of North America. The images on this volume were collected beginning in February, 1979 and run through the end of 1981. The study area is from the northern tip of Vancouver Island to the southern tip of Baja California (55N to 20N) and from 105W to 140W.See file README1.TXT on CD for further details.
DOI: 10.1594/pangaea.712498
title: Geochemistry of sediment core GeoB3707-4
DOI: 10.1594/pangaea.665913
title: Oceanography at CTD/bottle station IFREMER_2739
DOI: 10.1594/pangaea.810511
title: Distribution of sulphide and its oxidation intermediates in seep sediments of the Dvurechenskii mud volcano at station M72/2_270
DOI: 10.1594/pangaea.870460
title: Statistics for grain size analysis of surface sediments off Sylt collected during HEINCKE cruise HE311
DOI: 10.1594/pangaea.696190
title: Total organic carbon in waters of the Arabian Sea in sommer 1995 at Station M32/5_419
DOI: 10.1594/pangaea.696200
title: Organic carbon and nitrogen concentrations in waters of the Arabian Sea at Station M32/3_237
DOI: 10.1594/pangaea.696216
title: Organic carbon and nitrogen concentrations in waters of the Arabian Sea at Station M32/3_270
DOI: 10.1594/pangaea.877830
title: (Table S4) Oregon margin Sediment leachate minor, trace and rare earth element concentrations

description: &lt;0 = BMDL
DOI: 10.1594/pangaea.696219
title: Organic carbon and nitrogen concentrations in waters of the Arabian Sea at Station M32/3_276
DOI: 10.1594/pangaea.497630
title: Physical oceanography from BT during cruise U58JH00066B_1964
DOI: 10.1594/pangaea.830644
title: Xray-ct-scanner images from IODP Hole 338-C0002L

description: Geocode = [m CSF-A] Top Core depth (below sea floor)
DOI: 10.1594/pangaea.817973
title: Xray-ct-scanner images from IODP Hole 343-C0019E

description: Geocode = [m CSF-A] Top Core depth (below sea floor).Measurements data just above (negative section depth) and below (depth exceed section length) a core section are utilized in the deconvolution (http://en.wikipedia.org/wiki/Deconvolution).
DOI: 10.1594/pangaea.771109
title: (Table 4.2.17) Consumption of organic carbon for microbial methane formation in recent bottom sediments of the Baltic Sea
DOI: 10.1594/pangaea.667476
title: Mg/Ca and Sr/Ca ratios in Candona schweyeri versus age of sediment core GeoB7608-1
DOI: 10.1594/pangaea.777134
title: Section images from IODP Hole 331-C0014A

description: Geocode = [m CSF-A] Top Core depth (below sea floor)
DOI: 10.1594/pangaea.910178
title: High-resolution maps of ice wedge polygon occurrence and geomorphology

description: We mapped the occurrence of more than one million ice wedge polygons over a landscape of approximately 1,200 square kilometers, just south of Prudhoe Bay in northern Alaska, USA. The microtopographic relief at the center of each polygon was then calculated relative to the periphery, as a proxy for low-centered or high-centered form. Polygon boundaries are presented as shapefiles in UTM Zone 6N coordinates; the centroid, area, and relative elevation at the center of each instance are included in the associated attribute tables. Each shapefile covers one square kilometer of terrain; a unified attribute table in tab-delineated format is also provided. Additionally, the lidar-derived elevation data used as input for the mapping procedure are presented in GeoTIFF (rasterized) and LAZ (point-cloud) formats, and code (written in MATLAB vR2017b) has been uploaded. Additional information regarding the creation of the data sets can be found in the accompanying manuscript in Scientific Data.
DOI: 10.1594/pangaea.696188
title: Total organic carbon in waters of the Arabian Sea in sommer 1995 at Station M32/5_404
DOI: 10.1594/pangaea.907321
title: GI-31 ice history: global ice history spanning the last deglaciation

description: The GI-31 ice history is constructed based on the ICE-6G ice history (Peltier et al., 2015, doi:10.1002/2014JB011176). We construct an alternate ice model (GI-31) by modifying the deglaciation geometry of the ICE-6G model while requiring that the total ice volume (or global mean sea level) history of that model be preserved in order to satisfy far-field sea-level constraints. We delay ice loss in the CIS/western LIS region within the zone west of 110°W, preserving the ICE-6G ice distribution at 15 ka in this specific region until 13 ka. The ice distribution from 15-13 ka is modified to be consistent with the median ages reported in a large dataset (n= 818) constraining the deglaciation chronology of this region. In particular, we require that regions with minimum ages older than 13 ka must be ice-free by 13 ka in the GI-31 ice history. Peltier, W.R., Argus, D.F. and Drummond, R. (2015, doi:10.1002/2014JB011176). Available here: http://www.atmosp.physics.utoronto.ca/~peltier/data.php
description: Supplement to: Pico, Tamara; Robel, Alexander; Powell, Evelyn; Mix, Alan C; Mitrovica, Jerry X (2019): Leveraging the Rapid Retreat of the Amundsen Gulf Ice Stream 13,000 Years Ago to Reveal Insight Into North American Deglaciation. Geophysical Research Letters, 46(21), 12101-12107
DOI: 10.1594/pangaea.828548
title: P-Wave velocity (PWL) from IODP Hole 323-U1342C

description: Geocode = Depth CSF-A (m)
DOI: 10.1594/pangaea.858559
title: Organic geochemical analyses of sediment core GeoB7702-3
DOI: 10.1594/pangaea.907455
title: High-resolution surface global solar radiation and the diffuse component dataset over China (2016)

description: Surface solar radiation drives the water cycle and energy exchange on the earth's surface, and its diffuse component can promote carbon uptake in ecosystems by increasing the plant productivity. The accurate knowledge of their spatial distribution is of great importance to many studies and applications, such as the estimation of agricultural yield, carbon dynamics of terrestrial systems, site selection of solar power plants, as well as trends of regional climate changes. Therefore, we produce the hourly surface radiation datasets based on the hourly Multi-functional Transport Satellite (MTSAT) satellite imagery and the ground observations from the China Meteorology Administration (CMA) through deep learning techniques. The deep network is trained using training samples in 2008, and then utilized to generate the hourly radiation for other years. This dataset provides the gridded surface global and diffuse solar radiation in 2016 within 71.025°E - 141.025°E and 14.975°N - 59.975°N with an increment of 0.05°. Both the direct predicted hourly values and the integrated daily and monthly total values are available. The dataset should be useful for the analysis of the regional differences and temporal cycles of solar radiation in fine scales, and the impact of diffuse radiation on plant growth etc.
DOI: 10.1594/pangaea.890251
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2018050212

description: INITIALIZATION: 2018050212FORECASTS: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.828614
title: Thermal conductivity of IODP Hole 323-U1340A

description: Geocode = Depth CSF-A (m)
DOI: 10.1594/pangaea.907049
title: Vibration spectroscopy, X-ray diffraction, scanning electron microscopy and computational simulation data related to the growth of Li-carbonate crystals in different solutions

description: Data collected as part of a research study examining the growth of lithium carbonate (mineral name: zabuyelite, chemical formula: Li2CO3) from aqueous solution in the presence of inorganic additives. Ion-pair interactions within the solutions were examined using Raman spectroscopy, whereas the interactions between precipitated crystals and aqueous solution was tested using attenuated total reflectance infrared spectroscopy. In addition, computational simulations were used to study ion pairing in solution (PHREEQC) and adsorption to crystal surfaces (VASP). Precipitates from the experiments were characterised using Raman spectroscopy, diffuse reflectance Fourier transform infrared spectroscopy (DRIFTS) and X-ray diffraction (XRD). Images of the precipitates were obtained using scanning electron microscopy (SEM). For details of the set up for each instrument and specific parameters for the computational simulations, please see the linked publication.
description: Supplement to: King, Helen E; Salisbury, A; Huijsmans, J; Dzade, Nelson Y; Plümper, Oliver (2019): Influence of Inorganic Solution Components on Lithium Carbonate Crystal Growth. Crystal Growth & Design, 19(12), 6994-7006
DOI: 10.1594/pangaea.907161
title: High-resolution surface global solar radiation and the diffuse component dataset over China (2014)

description: Surface solar radiation drives the water cycle and energy exchange on the earth's surface, and its diffuse component can promote carbon uptake in ecosystems by increasing the plant productivity. The accurate knowledge of their spatial distribution is of great importance to many studies and applications, such as the estimation of agricultural yield, carbon dynamics of terrestrial systems, site selection of solar power plants, as well as trends of regional climate changes. Therefore, we produce the hourly surface radiation datasets based on the hourly Multi-functional Transport Satellite (MTSAT) satellite imagery and the ground observations from the China Meteorology Administration (CMA) through deep learning techniques. The deep network is trained using training samples in 2008, and then utilized to generate the hourly radiation for other years. This dataset provides the gridded surface global and diffuse solar radiation in 2014 within 71.025°E - 141.025°E and 14.975°N - 59.975°N with an increment of 0.05°. Both the direct predicted hourly values and the integrated daily and monthly total values are available. The dataset should be useful for the analysis of the regional differences and temporal cycles of solar radiation in fine scales, and the impact of diffuse radiation on plant growth etc.
DOI: 10.1594/pangaea.907380
title: High-resolution surface global solar radiation and the diffuse component dataset over China (2015)

description: Surface solar radiation drives the water cycle and energy exchange on the earth's surface, and its diffuse component can promote carbon uptake in ecosystems by increasing the plant productivity. The accurate knowledge of their spatial distribution is of great importance to many studies and applications, such as the estimation of agricultural yield, carbon dynamics of terrestrial systems, site selection of solar power plants, as well as trends of regional climate changes. Therefore, we produce the hourly surface radiation datasets based on the hourly Multi-functional Transport Satellite (MTSAT) satellite imagery and the ground observations from the China Meteorology Administration (CMA) through deep learning techniques. The deep network is trained using training samples in 2008, and then utilized to generate the hourly radiation for other years. This dataset provides the gridded surface global and diffuse solar radiation in 2015 within 71.025°E - 141.025°E and 14.975°N - 59.975°N with an increment of 0.05°. Both the direct predicted hourly values and the integrated daily and monthly total values are available. The dataset should be useful for the analysis of the regional differences and temporal cycles of solar radiation in fine scales, and the impact of diffuse radiation on plant growth etc.
DOI: 10.1594/pangaea.907103
title: House sparrows (Passer domesticus) Picrust functional composition, microbiota samples and microbiota sequences
DOI: 10.1594/pangaea.902098
title: Liquid water path of HATPRO microwave radiometer at AWIPEV, Ny-Ålesund (2017)

description: The microwave radiometer HATPRO has seven K band (22.235-31.4 GHz) channels that are sensitive to the path integrated amount of cloud liquid water (clwvi) and the path integrated amount of water vapor (precipitable water, prw). These files contain clwvi as a function of measurement time, elevation and azimuth angle observing direction. clwvi is based on multi-variate regression retrievals (see also Crewell and Löhnert, 2003; doi:10.1029/2002RS002654). Provided uncertainties describe the expected standard error of clwvi. Note, that clwvi values are given for all available times so that it is up to the user to decide whether or not to use the values if quality flags are set. Additionally included are temperature, pressure and humidity at the instrument location as well quality flags characterizing the instrument and retrieval performance.
DOI: 10.1594/pangaea.902140
title: Integrated water vapor of HATPRO microwave radiometer at AWIPEV, Ny-Ålesund (2016)

description: The microwave radiometer HATPRO has seven K band (22.235-31.4 GHz) channels that are sensitive to the path integrated amount of cloud liquid water (clwvi) and the path integrated amount of water vapor (precipitable water, prw). These files contain prw as a function of measurement time, elevation and azimuth angle observing direction. prw is based on multi-variate regression retrievals (see also Crewell and Löhnert, 2003; doi:10.1029/2002RS002654). Provided uncertainties describe the expected standard error of prw. Note, that prw values are given for all available times so that it is up to the user to decide whether or not to use the values if quality flags are set. Additionally included are temperature, pressure and humidity at the instrument location as well quality flags characterizing the instrument and retrieval performance.
DOI: 10.1594/pangaea.828424
title: Gamma ray attenuation bulk density from IODP Hole 323-U1342C

description: Geocode = Depth CSF-A (m)
DOI: 10.1594/pangaea.902029
title: (Supplement 1) Weather pattern definitions for India (1979 to 2016), link to netCDF files

description: Mean u- and v- component wind fields at 850-hPa are provided over India for a set of 30 objectively derived weather patterns, which were generated by k-means clustering of daily (1200 UTC) reanalysis fields from ERA-interim between 1979 and 2016. The weather patterns are defined on a 1 x 1 degree resolution grid, which covers the area from 62 degrees west to 98 degrees west and 2 degrees north to 37 degrees north. The boundary coordinates represent the central positions of the outer grid points.
DOI: 10.1594/pangaea.910677
title: (Table S11) Age model of ODP Hole 119-744B

description: Chron/depth datums from Mackensen and Ehrmann 1992 (Table 3). 744B (Table 3 from the paper above).
DOI: 10.1594/pangaea.828425
title: Gamma ray attenuation bulk density from IODP Hole 323-U1342D

description: Geocode = Depth CSF-A (m)
DOI: 10.1594/pangaea.762660
title: (Table 5) Concentrations of particulate metals in waters of the River Kem' estuary during the flood tide from 30 July till 05 August 2003
DOI: 10.1594/pangaea.828562
title: Reflectance spectroscopy and colorimetry from IODP Hole 323-U1340A

description: Geocode = Depth CSF-A (m)
DOI: 10.1594/pangaea.902142
title: Integrated water vapor of HATPRO microwave radiometer at AWIPEV, Ny-Ålesund (2017)

description: The microwave radiometer HATPRO has seven K band (22.235-31.4 GHz) channels that are sensitive to the path integrated amount of cloud liquid water (clwvi) and the path integrated amount of water vapor (precipitable water, prw). These files contain prw as a function of measurement time, elevation and azimuth angle observing direction. prw is based on multi-variate regression retrievals (see also Crewell and Löhnert, 2003; doi:10.1029/2002RS002654). Provided uncertainties describe the expected standard error of prw. Note, that prw values are given for all available times so that it is up to the user to decide whether or not to use the values if quality flags are set. Additionally included are temperature, pressure and humidity at the instrument location as well quality flags characterizing the instrument and retrieval performance.
DOI: 10.1594/pangaea.902143
title: Integrated water vapor of HATPRO microwave radiometer at AWIPEV, Ny-Ålesund (2018)

description: The microwave radiometer HATPRO has seven K band (22.235-31.4 GHz) channels that are sensitive to the path integrated amount of cloud liquid water (clwvi) and the path integrated amount of water vapor (precipitable water, prw). These files contain prw as a function of measurement time, elevation and azimuth angle observing direction. prw is based on multi-variate regression retrievals (see also Crewell and Löhnert, 2003; doi:10.1029/2002RS002654). Provided uncertainties describe the expected standard error of prw. Note, that prw values are given for all available times so that it is up to the user to decide whether or not to use the values if quality flags are set. Additionally included are temperature, pressure and humidity at the instrument location as well quality flags characterizing the instrument and retrieval performance.
DOI: 10.1594/pangaea.497912
title: Physical oceanography from BT during cruise U58X001473B_1949
DOI: 10.1594/pangaea.901295
title: China Merged Surface Temperature

description: A new global ST dataset, the China Merged Surface Temperature (CMST) dataset is developed recently. CMST is created by merging the China-Land Surface Air Temperature (C-LSAT) with the sea surface temperature (SST) data from the Extended Reconstructed Sea Surface Temperature version 5 (ERSSTv5). readme of the data files CMST The CMST（China Merged Surface Temperature） is produced by merging data from the C-LSAT land surface air temperature dataset and the ERSSTv5 sea-surface temperature dataset. ------------------------------------------------------------------------------------------------------------------- All values are stored as temperature anomalies in degrees celsius Missing data are set to the value -999.99 Grids are 5x5deg monthly reference_period = [1961 1990] Time：190001-201812（size：1416） Data Array (36x72) Item (1,1) stores the value for the 5-deg-area centred at 0° and 87.5°S Item (36,72) stores the value for the 5-deg-area centred at 360° and 87.5°N
description: This dataset has been in KNMI 's Climate Explorer online sharing and discovery services, see: http://climexp.knmi.nl/select.cgi?id=someone@somewhere&field=cmst
description: Supplement to: Yun, Xiang; Huang, Boyin; Cheng, Jiayi; Xu, Wenhui; Qiao, Shaobo; Li, Qingxiang (2019): A new merge of global surface temperature datasets since the start of the 20th century. Earth System Science Data, 11(4), 1629-1643
DOI: 10.1594/pangaea.902049
title: Long-term surface downward surface radiation dataset over the Tibetan Plateau

description: Calibrated by the Clouds and the Earth's Radiant Energy System Energy Balanced and Filled (CERES EBAF) Edition 4.0 surface downward radiation products, long-term (from 1850-2015) surface DSR and DLR datasets over the Tibetan Plateau are developed from 18 Coupled Model Intercomparison Project Phase 5 (CMIP5) models by using a non-negative least squares (NNLS) regression. The fused results show higher accuracy than the CMIP5 model outputs and other long-term radiation products based on validation using ground measurements. The spatial resolution is 1degree; the temporal resolution is 1 month; the time span is 1850-2015. The longitude range is 75E to 105E, and the latitude range is 25N to 40N.
description: Supplement to: Jia, Aolin; Liang, Shunlin; Wang, Dongdong; Jiang, Bo; Zhang, Xiaotong (2020): Air pollution slows down surface warming over the Tibetan Plateau. Atmospheric Chemistry and Physics, 20(2), 881-899
DOI: 10.1594/pangaea.901312
title: CRU and GCM data for SWAT model

description: Historical reanalysis climate data (TMAX, TMIN, PCP) at 0.5o resolution from Climate Research Unit East Anglia (CRU TS 3.1) is reformatted for use in SWAT models. The daily data covers the period of (1970-2005). This data can serve as observed data in regions where observed data is sparse or not available. For future data, we used the ISI-MIP data (Hempel et al., 2013, doi:10.5194/esd-4-219-2013). These were created using five GCM archives as input: HadGEM2-ES, IPSL-CM5A-LR, MIROC-ESM-CHEM, GFDL-ESM2M, and NorESM1-M. These models were selected because they had daily data for the period of 1950- 2099 for all Representative Concentration Pathway (RCP) scenarios.