cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.903731
title: Nearshore sub-bottom profiles at Herschel Island - Qikiqtaruk, Yukon, Canada

description: Shallow reflective seismic surveys were carried out in the vicinity of Herschel Island in 2013. These data were collected to investigate the depositional dynamics to the west, north and east of the island. A portion of the Herschel Basin was also surveyed. The surveys were carried out in nearshore waters ca. 3-45 m deep and to about 5 km offshore, with a total line length of about 80 km.The data were recorded using an Innomar SES-2000 compact sub-bottom profiler. The primary frequency for this instrument is approximately 100 kHz. The secondary frequency was varied between 5 and 15 kHz. Gain was applied during acquisitition (24-50 dB) depending on conditions. Positional data was recorded using a Trimble R4 Global Positioning System (GPS) where the antenna was mounted directly over the transducer without offset. Survey speed was generally &lt;5 knots.Data are provided as several SEG-Y files in a zip archive. The data were converted from the manufacturer's SES format using the proprietary SES Convert software. The 16 bit Integer SEG-Y files have little endian (PC) byte order. Navigational data was recorded in UTM Zone 7 N, in meters. Navigational data is also provided in tab separated files containing trace number, northing, easting and survey line ID. In addition, a zip file containing a shape file (polylines) is also provided.
DOI: 10.1594/pangaea.736368
title: (Table 1) Isotope record and major element chemistry of interstitial waters of ODP Site 104-642
DOI: 10.1594/pangaea.902130
title: In vivo magnetic resonance images and cardiovascular performance of Cancer pagurus at 9.4 T

description: MRI of living edible crabs Cancer pagurus submerged in seawater were recorded at 9.4 T. The dataset contains the DICOM files for the respective figures. Anatomical images of the heart were recorded using gradient-echo sequences (FLASH). The structure of the cardiovascular system in vivo was investigated using time-of-flight angiography scans. Haemlymph flow in various vessels was quantified over time with phase-contrast angiography. Self-gated IntraGate CINE MRI could reveal the extent of the heart contraction. FLOWMAP measurements of haemolymph velocity in left and right gills are given, averaging three flow velocities for either side at a specific point in time. Signal and noise values were recorded from anatomical MRI. These values were used to calculate the signal-to-noise ratio for different radiofrequency hardware setups: Images were recorded with either the volume resonator in transmit-receive mode or using the volume resonator for signal excitation and a receive-only surface coil (SUC) for signal reception.
description: Supplement to: Maus, Bastian; Pörtner, Hans-Otto; Bock, Christian (2019): Studying the cardiovascular system of a marine crustacean with magnetic resonance imaging at 9.4 T. Magnetic Resonance Materials in Physics, Biology and Medicine
DOI: 10.1594/pangaea.896914
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2018121212

description: INITIALIZATION: 2018121212FORECASTS: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.905703
title: WRF model output for Typhoon Longwang (2005)
DOI: 10.1594/pangaea.587237
title: Physical oceanography at CTD station M1_CTD381 of the Persian Gulf
DOI: 10.1594/pangaea.897056
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2018122712

description: INITIALIZATION: 2018122712FORECASTS: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.730151
title: (Table 16) Chemical composition of vein smectites from basalts and bleached hyalobasalt of the California Gulf, DSDP Hole 65-485A
DOI: 10.1594/pangaea.897461
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2019011112

description: INITIALIZATION: 2019011112FORECASTS: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.497522
title: Physical oceanography from BT during cruise U58GJ01074B_1948
DOI: 10.1594/pangaea.871128
title: Sea water stable oxygen isotope reconstruction of sediment core MINMC06-1
DOI: 10.1594/pangaea.694123
title: Nutrient concentrations in water samples from the Aegean Sea at Station FEBR-1999-S08
DOI: 10.1594/pangaea.871127
title: Sea water stable oxygen isotope reconstruction of sediment core HER_MC_MR03_3
DOI: 10.1594/pangaea.859765
title: Continuous thermosalinograph oceanography along HEINCKE cruise track HE399
DOI: 10.1594/pangaea.900856
title: CICE output from Navy Earth System Prediction Capability (ESPC) for 2019022312

description: INITIALIZATION: 2019022312FORECASTS: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.497797
title: Physical oceanography from BT during cruise U58X000043B_1959
DOI: 10.1594/pangaea.497862
title: Physical oceanography from BT during cruise U58X001096B_1923
DOI: 10.1594/pangaea.495058
title: Water temperature XBT profiles from cruise K7442_1988
DOI: 10.1594/pangaea.499193
title: Physical oceanography from BT during cruise U90X008531B_1987
DOI: 10.1594/pangaea.495182
title: Water temperature IBT profiles from cruise U06FI87062I_1987
DOI: 10.1594/pangaea.919937
title: Gridded datasets of animal manure nitrogen and phosphorus production and application in the continental U.S. from 1860 to 2017

description: Livestock manure, as recyclable sources for nitrogen (N) and phosphorus (P) in the Soil-Plant-Animal system, plays an important role in nutrient cycling. Given the agricultural benefits and environmental pollutions brought by manure, it is of great importance to estimate the spatial variations and temporal trajectories of manure production and its application in croplands of the continental United States (U.S.). Here, we developed datasets of annual animal manure N and P production and application in the continental U.S. at a 30 arc-second resolution over the period of 1860-2017. The total production of manure N and P increased from 1.4 Tg N yr-1 and 0.3 Tg P yr-1 in 1860 to 7.4 Tg N yr-1 and 2.3 Tg P yr-1 in 2017. The increasing manure nutrient production was associated with increased livestock numbers before the 1980s and enhanced livestock weights after the 1980s. The high-nutrient region mainly enlarged from the Midwest toward the Southern U.S., and became more concentrated in numerous hot spots after the 1980s. The South Atlantic-Gulf and Mid-Atlantic basins were the two critical coastal regions with high environmental risks due to the enrichment of manure nutrient production and application from the 1970s to 2010s. Our long-term manure N and P datasets provide critical information for national and regional assessments of nutrient budgets and can also serve as the input data for ecosystem and hydrological models to examine biogeochemical cycles in terrestrial and aquatic ecosystems.
description: Data are in ascii-format at a spatial resolution of 30 arc-second. Header for ascii-format files - ncols: 6934 - nrows: 2981 - xllcorner: -124.733174 - yllcorner: 24.544701 - cellsize: 0.008333333333 - NODATA_value: -9999. The unit of these three datasets is kg N or P/km**2/yr.
DOI: 10.1594/pangaea.859711
title: Continuous thermosalinograph oceanography along HEINCKE cruise track HE340
DOI: 10.1594/pangaea.497055
title: Physical oceanography from BT during cruise M90DI00003B_1953
DOI: 10.1594/pangaea.496091
title: Water temperature MBT profiles from cruise U90X089113M_1989
DOI: 10.1594/pangaea.920894
title: Land cover fraction map of Germany at 10m spatial resolution based on Sentinel-1 and Sentinel-2 spectral temporal metrics

description: The increasing impact of humans on land and ongoing global population growth requires an improved understanding of land cover (LC) processes in general and of those related to settlements in particular. The heterogeneity of settlements and landscapes as well as the importance of not only mapping, but also characterizing anthropogenic and landscape structures suggests using a sub-pixel mapping approach for analysing related LC from space.This map has been created using a regression-based unmixing approach for mapping built-up surfaces and infrastructure, woody vegetation and non-woody vegetation for all of Germany at 10 m spatial resolution. Spectral-temporal metrics from all Sentinel-1 and Sentinel-2 observation in 2018 have been used to create synthetically mixed training data for regression. An elevation threshold of 1350m has been applied above which built-up surfaces and infrastructures were masked out.The mapping workflow has been established in the corresponding publication. This dataset is an enhanced dataset that uses an alternative set of spectral-temporal metrics for land cover modeling, including:- 25th, 50th and 75th quantile of Sentinel-2 reflectance- Average Sentinel-1 VH polarized backscatter- 90th quantile and standard deviation of Sentinel-2 Tasseled Cap GreennessThis enhanced set makes use of Sentinel-1 imagery, which reduces confusion of built-up features and seasonal soil-covered surfaces. Sentinel-2 Tasseled Cap Greenness is a more robust indicator for vegetation in temperate regions than the NDVI, which was used in the corresponding publication.The file is of GeoTiff format and contains three bands:Band 1 - Fraction of built-up surfaces and infrastructureBand 2 - Fraction of woody vegetationBand 3 - Fraction of non-woody vegetationFor further information, please see the publication or contact Franz Schug (franz.schug@geo.hu-berlin.de).Sentinel-1 data was kindly provided by TU Vienna (https://www.geo.tuwien.ac.at/) through EODC (https://www.eodc.eu/).This research has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 741950).
DOI: 10.1594/pangaea.897467
title: CICE output from Navy Earth System Prediction Capability (ESPC) for 2019011212

description: INITIALIZATION: 2019011212FORECASTS: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.908092
title: High-resolution surface global solar radiation and the diffuse component dataset over China (2017)

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 2017 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.918056
title: Compensatory responses to food limitation at metamorphosis in a marine invertebrate: is there temperature modulation?

description: Under climate change, increased temperatures combined with food limitation may be critical for species with complex life cycles, if high growth rates characterise the larval development. We studied the effect of increased temperature and food limitation on larval survival and on functional traits (developmental time, body mass, elemental composition, growth) at moulting and metamorphosis in the crab Carcinus maenas collected in the North Sea (Helgoland, Germany). We followed the approach of models of metamorphosis integrating responses of body mass and developmental time to increased temperature and food limitation. We also evaluated if body mass decreased with temperature (according to the temperature-size rule) and if developmental time followed an inverse exponential reduction (expected from some metabolic theories), as both trends are relevant for modelling effects of climate change on fitness and population connectivity. Larvae produced by four females during the reproductive period (i.e. spring-summer 2016) were reared separately from hatching to metamorphosis to the megalopa at two food conditions (ad libitum and low food availability), and at four temperatures covering the range experienced in the field (&lt;20°C) and those expected from climate change (&gt;20°C). Survival and developmental rates were obtained by daily monitoring of the experiments. Biomass data (body mass and elemental composition) were obtained by sampling larvae at the zoea IV and megalopa stages and further processed with standard methods (see Torres & Giménez 2020 for details). We propose that integrative studies of traits at metamorphosis could be a basis to develop a mechanistic understanding of how species with complex life cycles will respond to climate change. Such models could eventually include hormonal and metabolic regulation of development as drivers of responses to environmental change.
DOI: 10.1594/pangaea.777131
title: Section images from IODP Hole 331-C0013H

description: Geocode = [m CSF-A] Top Core depth (below sea floor)
DOI: 10.1594/pangaea.897469
title: CICE output from Navy Earth System Prediction Capability (ESPC) for 2019011412

description: INITIALIZATION: 2019011412FORECASTS: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.511728
title: Physical oceanography and CFC measured on water bottle samples at station M59/2_536
DOI: 10.1594/pangaea.887983
title: Close-up images of IODP Hole 370-C0023A
DOI: 10.1594/pangaea.826015
title: Magnetic remanence from IODP Hole 327-U1362A

description: Geocode = Depth CSF-A (m)
DOI: 10.1594/pangaea.890967
title: FIMS database - supplementary files

description: Problem: Often spreadsheets are used as pseudo-databases for the storage of plot-based survey data, but they have major limitations in scalability, concurrent access and data retrieval. Paper-based surveys require time-consuming data entry. They contain potential inconsistencies (e.g. miss-spellings, abbreviations, missing values), particularly if coming from different observers due to unenforceable data standards.Methods: We analysed more than 30 years of data collected in the Northern Jarrah Forest (NJF) of south-western Australia, comprising c. 31,000 plots (c. 550,000 species records) and associated environmental variables stored across multiple spreadsheets in the development of our free and open source floristic information management system (FIMS). Data dictionaries were developed for each spreadsheet before being combined into a unified standard. OpenRefine software was used to ensure adherence to the standard, including correcting inconsistent field order in different files, removal of redundant or irrelevant fields, abolishing synonyms and abbreviations, and deleting incomplete rows. Database design and normalisation rules ensured the removal of repeating groups and the provision of fields for each retained attribute. Geometry was stored using spatial objects available in PostGIS whilst maintaining an otherwise relational database using PostgreSQL.Results: FIMS provides a spatial database system for storing, accessing and retrieving floristic survey data. FIMS includes a mobile data collection module for use on tablet technology with autonomous database synchronisation and one-step data entry to eliminate transcription and associated errors. Spatial data types enable the retrieval of data for viewing and analysis within most Geographic Information Systems and statistical software. It promotes portability and adaption to other locations and studies via the provision of all necessary code.
description: Supplement to: Trotter, Lewis; Robinson, Todd P; Wardell-Johnson, Grant; Grigg, Andrew; Luxton, Sarah (2018): FIMS: a free and open-source spatial database system for plant observation and mobile data collection. Phytocoenologia, 48(4), 393-405
DOI: 10.1594/pangaea.893602
title: 07. Annual glacier elevation change rate raster dataset, South American Andes, Lake District 2000 and 2011-2015

description: The dataset is a mosaic of several dh/dt fields for the region ‚07 Lake District' 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.893603
title: 08. Annual glacier elevation change rate raster dataset, South American Andes, Patagonia North 2000 and 2011-2015

description: The dataset is a mosaic of several dh/dt fields for the region '08 Patagonia North' 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.664776
title: Oceanography at CTD/bottle station IFREMER_1616
DOI: 10.1594/pangaea.895248
title: Temperature and oxygen data from monitoring station 8 located at the SW Baltic Sea coast from 2016-2017

description: All data values were flagged according to applied quality checks using the following flags: 1 = Pass, 2 = Suspect, 3 = Fail, 4 = Visually suspect, 5 = Salinity compensation fail (further explanations can be found in related article).
DOI: 10.1594/pangaea.890234
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2018050812

description: INITIALIZATION: 2018050812FORECASTS: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.890249
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2018050412

description: INITIALIZATION: 2018050412FORECASTS: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.826399
title: Interstitial water analysis from IODP Hole 329-U1366F

description: Geocode = Top depth CSF-A (m)#0 = bdl (below detection limit)