cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.886171
title: MFM and microscope images of Hawaiian lavas, sample HW-22

description: Raw data files were added on 2018-05-15.
DOI: 10.1594/pangaea.886172
title: MFM and microscope images of Hawaiian lavas, sample HW-25

description: Raw data files were added on 2018-05-15.
DOI: 10.1594/pangaea.723349
title: Description of profile 7140-334
DOI: 10.1594/pangaea.950246
title: Rock temperature variability in the alpine cryosphere

description: In a context of cryosphere degradation caused by climate warming, rock temperature is one of the main driving factors of rockfalls that occur on high-elevation mountain slopes. In order to improve the knowledge of this critical relationship, it is necessary to increase measurement capability of rock temperature and its variability in different lithological and slope/aspect conditions, and also to increase local scale studies, increasing the quality and the comparability of the data. Rock temperature data, acquired from July 2018 to July 2022 in an alpine experimental glacial basin (https://deims.org/f8718e56-fb4d-49a3-92a9-3670e7f10ee9), in different two temperature monitoring sites (TMS) with the same lithological conditions (calc-schists) but in two different aspect conditions (South and North), at an elevation range from 2653 to 2667 m a.s.l, are present. The temperature data have been acquired by using six MadgeTech MicroTemp Data Logger (MT), metrologically referenced and with known measurement uncertainty (0.098 °C).
description: The number -9999 indicates the division between one year of acquisitions and the next.The work was carried out in the framework of the GioMon project (https://geoclimalp.irpi.cnr.it/progetti/).
DOI: 10.1594/pangaea.884662
title: Results from multiple independent observers classifying one aerial image of an American kestrel nest box site in Massachusetts, USA using ENVI

description: Five naive observers (graduate students at Tufts University, MA, USA) each classified an aerial photo around an American Kestrel nest box site in Massachusetts, USA. Five different cover categories were used (Grass, Herbaceous, Woody, Human-modified, and Bare Ground) but each observer drew their own training samples. The results of a confusion matrix evaluating how many pixels of each type were correctly identified by the Supervised Classification scheme are included here. Each observer (five naive observers and the authors) was assigned a number, 1 through 6, and summary statistics of kappa coefficients are included.
DOI: 10.1594/pangaea.680569
title: Other measurements at 30 m from station Payerne (1997-06)
DOI: 10.1594/pangaea.893658
title: Meteorological synoptical observations from station Payerne (2013-11)
DOI: 10.1594/pangaea.912811
title: Ultra-violet measurements from station Fort Peck (2019-04)
DOI: 10.1594/pangaea.723251
title: Description of profile 7137-138
DOI: 10.1594/pangaea.898014
title: A High-Resolution (0.25 degree) Historical Global Gridded Dataset of Climate Extreme Indices (1970-2016) using GLDAS data

description: Users are recommended to consult the author (malcolm.mistry@unive.it / malmistry1977@gmail.com) for an updated version which includes more recent years.71 core and non-core climate extreme indices (CEIs) based on the Expert Team on Climate Change Detection and Indices (ETCCDI), and the Expert Team on Sector-specific Climate Indices (ET-SCI). The indices are computed using R ClimPACT2 package. The dataset does not include two indices (Heating and Cooling Degree Days) as these are computed separately for various baseline temperature (thresholds) -See 'Historical Global-Gridded Degree-Days: A High Spatio-Resolution Database of CDD and HDD'-. All indices are computed using daily near-surface maximum and minimum temperature (deg C), and near-surface precipitation (mm/day) variables from Global Land Data Acquisation System (GLDAS) ver. 2 (@ 0.25 degree)Important: GLDAS ver-2 comprises of two sub-versions (ver. 2.0 for period 1970-2010 and ver 2.1 for period 2000-present day). The CEIs computed using the input temperature and precipitation variables may report a break in time-series at a few locations around the years 2010-11. Users are therefore advised caution when using the data for trend analysis for instance. Further details on the merging of the two versions can be found below:https://disc.gsfc.nasa.gov/information/faqs?title=Should%20I%20use%20GLDAS%20Version%202.0%20(GLDAS-2.0)%20or%20GLDAS%20Version%202.1%20(GLDAS-2.1)%3F
description: Data are in netCDF-4 format, at a spatial resolution of 0.25 degree by 0.25 degree (latitude by longitude)on a regular lon-lat grid. Some indices have data both at monthly and annual time-steps (as identified by the netCDF file name). Missing values are identified by values '1.e+20f'. Further details of the variables in the individual netCDF files can be checked using either NCO or CDO command line utilites as follows: "ncdump -h netcdf_file_name", "cdo sinfo netcdf_file_name". The developement of this dataset has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme under grant agreement No 756194 (ENERGYA).
description: Supplement to: Mistry, Malcolm Noshir (2019): A high resolution global gridded historical dataset of climate extreme indices. Data, 4(1)
DOI: 10.1594/pangaea.915119
title: Radiosonde raw data from tandem soundings at Neumayer Station (2019-08), links to files

description: At Neumayer station the transition of sonde type from Vaisala RS92-SGP to RS41-SGP is controlled by tandem soundings starting in July 2018. Each file in this dataset was acquired together with the corresponding data file in doi:10.1594/PANGAEA.915088.
DOI: 10.1594/pangaea.878261
title: Distribution of pelagic diatoms of the Southern Ocean, links to model results in NetCDF format
DOI: 10.1594/pangaea.950393
title: Ultra-violet measurements from station Izaña (2022-10)
DOI: 10.1594/pangaea.918663
title: Paleobathymetry and sediment thickness of the Southern Ocean since 34 Ma

description: Paleobathymetric models and sediment thickness estimations give insight into the development of the Antarctic Ice Sheets, Southern Ocean current systems and opening of the Southern Ocean Gateways since the Eocene/Oligocene Boundary. A more sophisticated assessment of the paleobathymetry and the sediment deposition in the Southern Ocean are essential for robust reconstructions of paleoclimate and paleooceanographic scenarios.For this reconstruction, we used all available reflection seismic data (refer to Hochmuth et al. (2020) Fig. 1 for data coverage) and borehole information within the Southern Ocean. Paleobathymetric grids are calculated using the backstripping method as implemented in the BalPal code (Wold et al. 1992). Plate tectonic reconstruction follows Müller et al. (2018). The following paleobathymetric reconstruction time slices are available: Eocene/Oligocene Boundary (34 Ma), early Oligocene (27 Ma), Oligocene/Miocene Transition (24 Ma), early Miocene (21 Ma), middle Miocene (14 Ma), late Miocene (10.5 Ma), early Pliocene (5 Ma), Pliocene/Pleistocene Boundary (2.6 Ma) and middle Pleistocene (0.65 Ma).The sediment thickness maps presented here include pre- and post-34 Ma sediment deposition as well as the specific time intervals of the early Oligocene (34 Ma – 27 Ma), late Oligocene to early Miocene (27 Ma – 24 Ma), early Miocene (24 Ma – 21 Ma), early to middle Miocene (21 Ma – 14 Ma), middle to late Miocene (14 Ma – 10.5 Ma), late Miocene (10.5 Ma – 5 Ma), Pliocene (5 Ma – 2.65 Ma) and Pleistocene (2.6 Ma to recent).
DOI: 10.1594/pangaea.912813
title: Ultra-violet measurements from station Fort Peck (2019-05)
DOI: 10.1594/pangaea.701950
title: Meteorological synoptical observations from station Tateno (2008-05)
DOI: 10.1594/pangaea.723356
title: Description of profile 7339-106
DOI: 10.1594/pangaea.896826
title: Solid phase overview of different sediment cores from the Öre Estuary on the Swedish coast sampled in Arpril 2015
DOI: 10.1594/pangaea.949579
title: Water samples from the river Elbe (Neu-Darchau-Geesthacht), May 2021

description: Surface water samples of the river Elbe were taken in May 2021 with the vessel Zwergseeschwalbe between Geesthacht and Neu Darchau. Connecting cruises were performed from colleagues from Geesthacht towards Hamburg and from Elster towards Dömitz.
DOI: 10.1594/pangaea.680438
title: Other measurements at 10 m from station Payerne (2000-02)
DOI: 10.1594/pangaea.949868
title: Water samples off Cuxhaven, for 48h, from anchored ship

description: The vessel Ludwig Prandtl was anchored for 48 h off Cuxhaven at Medem Reede. Water samples were taken approx. every 2 hours during daytime, while sensors were recording continuously. Water samples were taken from ferrybox outlet from surface (1 m).
DOI: 10.1594/pangaea.496773
title: Physical oceanography from BT during cruise K58JHB_1961
DOI: 10.1594/pangaea.950415
title: Chemical composition of carbonate-free fraction of sediments from the East Pacific Rise

description: The expedition "RISEPAC" in 1961 of Scripps Institution of Oceanography crossed the East Pacific Rise at about 12-14°S between 90° and 140 °W, securing heat flow measurements and sediment samples. The sediments are predominantly dark brown clayey sediments at deeper parts of the traverse, gradually becoming lighter brown to almost brownish white on the rise due to increase in carbonate content. On the very crest of the rise where the heat flow reaches a maximum, the sediments are very dark brown with lower carbonate content although well above the compensation depth. To avoid fortuitous results a thick layer from each core was sampled, usually the interval 30-70 cm. Before analysis the samples were dried at 60 °C and ground and further leached with 0.2-molar acetic acid at 50°C for 1 h in order to separate the carbonate free fraction which was then analysed using wet chemistry methods.
description: From 1983 until 1989 NOAA-NCEI compiled the NOAA-MMS Marine Minerals Geochemical Database from journal articles, technical reports and unpublished sources from other institutions. At the time it was the most extended data compilation on ferromanganese deposits world wide. Initially published in a proprietary format incompatible with present day standards it was jointly decided by AWI and NOAA to transcribe this legacy data into PANGAEA. This transfer is augmented by a careful checking of the original sources when available and the encoding of ancillary information (sample description, method of analysis...) not present in the NOAA-MMS database.This dataset represents the digitized Table 3, pp. 432-433 of the related publication.
DOI: 10.1594/pangaea.826376
title: Natural gamma radiation from IODP Hole 329-U1366B

description: Geocode = Depth CSF-A (m)
DOI: 10.1594/pangaea.911375
title: Radiosonde measurements from station Southern Great Plains (2017-08)

description: Launches may be at irregular time intervals. The radiosonde measurements from station Southern Great Plains are used for Billings and E13
DOI: 10.1594/pangaea.911436
title: Fine sand percentages of the total fraction of sediment core MD99-2348 from the Gulf of Lion, Mediterranean Sea
DOI: 10.1594/pangaea.664706
title: Oceanography at CTD/bottle station IFREMER_1546
DOI: 10.1594/pangaea.680666
title: Other measurements at 30 m from station Payerne (2005-08)
DOI: 10.1594/pangaea.484615
title: Hydrochemistry measured on water bottle samples at station SN97/3-1

description: This data sets is part of a compilation by James Swift for the Java OceanAtlas software. Data are from various pre-WOCE sources, mainly with contributions and quality control from Joseph Reid (SIO) and NODC.
DOI: 10.1594/pangaea.896536
title: Global wave power time series

description: Wind-generated ocean waves drive important coastal processes that determine flooding and erosion. Ocean warming has been one factor affecting waves globally. Most studies have focused on studying parameters such as wave heights, but a systematic, global and long-term signal of climate change in global wave behavior remains undetermined. The global wave power, which is the transport of the energy transferred from the wind into sea-surface motion, has increased globally (0.4% per year) and by ocean basins since 1948. Results indicate the upper-ocean warming, a consequence of anthropogenic global warming, is changing the global wave climate, making waves stronger. This identifies wave power as a potentially valuable climate change indicator.
description: This repository includes the global wave power time series from GOW (Reguero et al. 2012, doi:10.1016/j.coastaleng.2012.03.003) and GOW-CFSR (Perez et al. 2017, doi:10.1016/j.coastaleng.2017.03.005) used in the study and the implementation of the algorithm for trend analysis that uses the Mann-Kendall test and the Wang and Swail (2001, doi:10.1175/1520-0442(2002)015&lt;1020:TOAWEA&gt;2.0.CO;2) algorithm for checking the autocorrelation.
description: Supplement to: Reguero, Borja; Losada, I J; Mendez, Fernando J (2019): A recent increase in global wave power as a consequence of oceanic warming. Nature Communications, 10(1)
DOI: 10.1594/pangaea.896425
title: Global aerosol emissions from biomass burning for the late preindustrial Holocene, link to data in NetCDF format

description: Global black carbon, organic carbon, and sulphur dioxide (BC, OC, SO2) emissions from biomass burning simulated for the late preindustrial Holocene (1770 CE) by the LPJ-LMfire Dynamic Global Vegetation Model (Pfeiffer et al., 2013). For full details of the simulation protocol and the emission factors, see Hamilton, et al. (2017, pages 8-9).Data are provided as a netCDF classic-format file, on a global 0.5-degree, pixel-centered grid (720 cols x 360 rows). The emissions of BC, OC, and SO2 are provided in units of kg m-2 s-1.
DOI: 10.1594/pangaea.911422
title: Danube freshwater species distribution models

description: In the species_probs_per_resolution file you will find 10 csv files. For each modelled resolution one file. The file indicates the basin ID and the predicted habitat suitability for each of the 50 species. In the Master_basins-Files you will find the geopackages for each resolution. This gives you the spatial arrangement of each basin and the ID of each basin.Basins were created in GRASS-GIS using the r.watershed command and the number behind the basin files indicates the threshold used in r.watershed to create the basins.
DOI: 10.1594/pangaea.771409
title: Radiosonde measurements from station Camborne (2007-05)
DOI: 10.1594/pangaea.911233
title: TLS surface scans from Owens Lake and Badwater Basin, central California, measured in 2016 and 2018

description: The data set contains surface scans from a salt desert showing salt polygons at the surface. The data set characterizes the patterned surface of the salt deserts and is used together with other data sets (which characterize the environmental conditions and subsurface of the deserts) to explain the driving mechanism of salt polygon growth in salt deserts.For every site, the raw point cloud from the scanner is uploaded. Additionally, subsets of the raw point clouds (squares) were extracted and transformed onto a regular grid and are also available here.Measurements were conducted for 21 sites at Owens Lake and 5 sites at Badwater Basin - both Central California. All data was recorded during two field campaigns in November / December 2016 and January 2018.Related to this data are also- grain size distributions of sand samples taken at the field sites at different depths (see data at https://doi.pangaea.de/10.1594/PANGAEA.910996),- pictures and videos characterizing the sites (see data at https://doi.pangaea.de/10.1594/PANGAEA.911054),- salinity profiles from cross-sections below polygons and background salt concentration measurements (see data at https://doi.pangaea.de/10.1594/PANGAEA.922264),- temperature and humidity time-series measured during one week in late 2016 (see data at https://doi.pangaea.de/10.1594/PANGAEA.922231),- and a chemical characterization of the salt species present in the crust (see data at https://doi.pangaea.de/10.1594/PANGAEA.911239).
DOI: 10.1594/pangaea.758871
title: Basic measurements of radiation at station Camborne (2005-03)
DOI: 10.1594/pangaea.793199
title: Basic measurements of radiation at station Nauru Island (2000-03)

description: Version 3, 2012-10-25
DOI: 10.1594/pangaea.758869
title: Basic measurements of radiation at station Camborne (2004-03)
DOI: 10.1594/pangaea.793213
title: Varve thickness of sediment core MFM09A/D
DOI: 10.1594/pangaea.897052
title: CICE output from Global Ocean Forecast System (GOFS) 3.1 for 2018122312

description: INITIALIZATION: 2018122312FORECASTS: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.903357
title: Profile of vertical fish echo sounding with Simrad EK60 during Helmer Hanssen cruise CAGE 13.7 with links to raw data files
DOI: 10.1594/pangaea.828570
title: Reflectance spectroscopy and colorimetry from IODP Hole 323-U1342C

description: Geocode = Depth CSF-A (m)
DOI: 10.1594/pangaea.676966
title: Grain size composition of sediments and sedimentary rocks from Hole VNIIO-1990-27 drilled at the Kanin Peninsula
DOI: 10.1594/pangaea.793163
title: (Table 1) Isotopes δ¹⁸O and δ¹³C in Globigerina angiporoides and Oridorsalis umbonatus at DSDP Holes 29-277, 90-592, 90-593, and 90-593A
DOI: 10.1594/pangaea.903260
title: Microphysics and chemical composition of particulate dry deposition measured in Longyearbyen, Svalbard, Norway

description: Samples were collected with a flat plate type sampler (Waza et al., 2019) on top of the University of Svalbard Building between 01 September 2017 and 24 September 2017. The geographical coordinates are N 78.2227° and E 15.6510°, height is approximately 30 m above sea level.Samples were subject to automated scanning electron microscopy with coupled X-ray analysis (Kandler et al., 2018).Each data file is one sample (approximately diurnal collection), an overview with meta data is given in the sample list file. Please refer to the description files for more details.
DOI: 10.1594/pangaea.905798
title: Vegetation succession and climate change across the Plio-Pleistocene transition in eastern Azerbaijan, central Eurasia (2.77-2.45 Ma)

description: The Plio-Pleistocene transition marked a key moment in global climate history, characterised by the onset of major glaciations in the Northern Hemisphere. The palaeoenvironmental history of the Plio-Pleistocene transition is not well known for the Caspian Sea region, despite its importance for global climate dynamics. Here we present an independently 40Ar/39Ar dated, high-resolution terrestrial palynological record spanning the Plio-Pleistocene boundary based on a lacustrine-marine sedimentary sequence from eastern Azerbaijan. Despite complex pollen transport pathways and the proximity of closely stacked mountain vegetation belts in the Greater and Lesser Caucasus, the record shows that regional vegetation responded to Milankovitch forced glacial-interglacial cycles, tentatively correlated with global climatic records spanning MIS G8 to 98 (~2.75-2.5 Ma). The persistence of mesophilous forests during glacial times indicates that some settings in the south Caspian basin acted as glacial refugia, and that vegetation response to glaciations was muted by increased moisture availability, linked to Caspian transgression. The palynological record shows a relationship with global δ18O stacks and specifically to the obliquity record, and we anticipate that precise correlation with this global climatostratigraphic timescale will allow better understanding of the nature and timing of important transgressive events in the Caspian Sea and their relevance on a global scale.
description: Supplement to: Hoyle, Thomas M; Leroy, Suzanne A G; López-Merino, Lourdes; Miggins, Daniel P; Koppers, Anthony AP (2019): Vegetation succession and climate change across the Plio-Pleistocene transition in eastern Azerbaijan, central Eurasia (2.77–2.45 Ma). Palaeogeography, Palaeoclimatology, Palaeoecology, 109386
DOI: 10.1594/pangaea.905691
title: High-resolution surface global solar radiation and the diffuse component dataset over China (2012)

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 2012 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.