cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.967374
title: New splice for the late Pliocene interval ODP Hole 145-883B

description: Here we present new splice for the late Pliocene interval site 883 hole B. The composite depth scale was created by visual correlation of the shipboard gamma ray attenuation and porosity evaluator (GRAPE) wet bulk density (WBD) measurements between 883B and 883C starting at core 9H and ending at 18H. 883B 11H-1 0–57 cm, 883B 12H-1 0–10 cm, 883B 15H-1 0–20 cm, 883C 15H-1 0–5 cm were not considered in the correlation exercise because the recovered sediments had sidewall cave-in characterized by pebbles typical of the overlying Pleistocene sediments. In almost all cores, recovery was &gt; 100%. To account for this in terms of depth, cores with &gt; 100% recovery were compressed uniformly and fixed to the top drill log depth (depth mbsf) assigned to that core. Subsequent correlation of cores between holes B and C revealed apparent gaps in recovery. Cores were further uniformly compressed to account for the unrecovered sediments and a composite stratigraphic section was stitched together by switching between the two holes. On average, cores were compressed 17% and at most by 28% of their drilled depth (9.5 m). GRAPE WBD from 883B and 883C was then correlated to the composite section to generate tie points for each core to the composite section. The result of this exercise is a composite section of comparable depth to the driller's shipboard depth scale (109.4 meters below sea floor vs. 108.3 meters common depth) that accounts for all the major stratigraphic features present in the GRAPE WBD profiles of 883B and 883C.Depth mbsf can be converted to depth MCD using two methods, depending on preferences. The first is to convert all your depth mbsf values to depth mbsfc. To do that, one must go to the site 883 initial report and compress all the cores by the amount of core expansion greater than 9.5 m (i.e., &gt; 100%). One can then use the splice tiepoints to convert from depth mbsfc to depth mcd that are listed in the table. The advantage of this approach is that you only have to interpolate the data from depth mbsf to depth mbsfc once. The other option is to go directly from depth mbsf to depth mcd. To do this, one will have to interpolate the data for each core of hole B and hole C seperately. The reason for this being that there is significant overlap between cores on the depth mbsf scale that were drilled in the same hole, so if one interpolates all the data from all the cores in hole B, for example, to depth mcd at once, one will notice in your data table that data from, for example, 883 B 17H section 7 is overlapping with data from 883B 18H section 1. This is obviosly wrong - the way to fix it is to use the mcd scale tiepoints from each core seperately rather than all together.
DOI: 10.13130/rd_unimi/n9enq4/n4qzrs
title: force_disp_init-180.dat

description: 250729_SIMULATION_DATA/TENS-N_1.zip
DOI: 10.13130/rd_unimi/n9enq4/9eoyoi
title: force_disp_init-162.dat

description: 250729_SIMULATION_DATA/TENS-N_1.zip
DOI: 10.13130/rd_unimi/n9enq4/sprxqt
title: edges_init-151.dat

description: 250729_SIMULATION_DATA/TENS-N_1.zip
DOI: 10.1594/pangaea.933415
title: Automatic weather station buoy data PS81/506-1 from Weddell Sea, Antarctica, 2013-2014

description: Automatic weather station buoy data PS81/506 from Weddell Sea, Antarctica, 2013-2014. The buoy was deployed together with an ice mass balance buoy (see under related) on sea ice station PS81/506 from Research Vessel Polarstern in the Antarctic Weddell Sea in austral winter 2013 (cruise leg ANT-XXIX/6, AWECS campaign). The automatic weather station provides data between 2013-07-12T14:00 and 2013-08-13T14:00. Time is in UTC.
description: Automatic weather station (AWS) description:============================================- Data contains date time, air temperature, relative humidity, incoming shortwave radiation, snow depth, wind speed and direction, snow particle counters for snow drift, latitude and longitude.- See drawing PS81-506_AWS.pdf (=&gt; Further details) for installation details.- Processing done here is only correction of snow depth for temperature, and correction of relative to absolute wind direction. To correct wind direction data for floe rotation, data from IMB was used. However the IMB GPS receiver gave positions with a high degree of scatter (&gt;50m), and was unusable for floe rotation correction, therefore IMB magnetometer data was used. Offset between wind direction from the AWS and from the Polarstern is -4° (using average of data from first 22 hours after AWS installed). Therefore at installation on 2013-07-12T14:15 UTC: [true wind direction] = [AWS wind direction - 4°]- Snow depth quality good range is 152 - 210.- Snow depth temperature correction is SDcorr = SD*sqrt[(273.15+Tair)/273.15]- Average wind direction is identical to the instantaneous wind direction value for all 10-minute periods, most likely a datalogger code issue.
DOI: 10.13130/rd_unimi/n9enq4/fp3zoe
title: edge_data_final-180.dat

description: 250729_SIMULATION_DATA/TENS-N_1.zip
DOI: 10.1594/pangaea.271528
title: Airchemistry at Neumayer Station, Antarctica during the year 1994

description: Please note that the Ozone data was provided by P. Winkler. The complete dataset for Ozone can be found at: https://doi.pangaea.de/10.1594/PANGAEA.942386
description: Data processing by Johannes Kässbohrer, Fielax
DOI: 10.1594/pangaea.934409
title: Intercalibrated dataset of in situ dissolved organic matter fluorescence from ice tethered profile 65 in the Central Arctic (2012-2013)

description: Here we present a merged and calibrated dataset of temperature, practical salinity and dissolved organic matter (DOM) fluorescence obtained from several Ice Tethered Profilers (ITPs) deployed across the central Arctic (2011-2016). The data offer a unique spatial coverage of the distribution of DOM in the surface 800 m below Arctic sea ice. A total of 5044 profiles are gathered. The ITP data are level 3 data products pressure-bin-averaged at 1-db vertical resolution with depth down to either 200 or approximately 750 m. Data (max 800m depth) from CTD casts made during two oceanographic cruises are also included. These were used as part of the calibration and validation of the ITP calibration routines. The cruises were PS94 (ARK-XXIX/3) with POLARSTERN in 2015 and NAACOS with DANA in 2012. The presented DOM fluorescence data are smoothed, corrected for instrument drift and calibrated to provide intercomparable data across the sensors. Fluorescence is reported in Raman Units (nm-1), and comparable to laboratory measurements conducted according to current community recommendations.
DOI: 10.13130/rd_unimi/n9enq4/etcndc
title: force_disp_final-188.dat

description: 250729_SIMULATION_DATA/TENS-N_1.zip
DOI: 10.13130/rd_unimi/n9enq4/ptqy5r
title: edges_init-163.dat

description: 250729_SIMULATION_DATA/TENS-N_1.zip
DOI: 10.1594/pangaea.984843
title: Ship-borne atmospheric methane measurements during MOSAiC Leg 4-5

description: This dataset contains minute-averaged CH4 concentrations and its isotopic composition (δ13C-CH4) in air above the Arctic Ocean measured during Leg 4 (4 June 2020 – 12 August 2020) and Leg 5 (12 August 2020 – 12 October 2020) of the MOSAiC expedition. The continuous ship-borne measurements were recorded by Cavity Ring-Down Spectroscopy (CRDS) using a Picarro G2132-i isotope analyser (Picarro, Inc., Santa Clara, USA). Air was drawn in from the starboard side of compass deck of RV Polarstern at about 21 m above the sea-ice and ocean surface using a Teflon tube with a length of 75 m and an inside diameter of 4.5 mm. A flow rate of 2.4 l min−1 was generated with a 3KQ Diaphragma pump (Boxer, Ottobeuren, Germany). The Picarro G2132-i isotope analyser then continuously measured in the "High Precision" mode with 1 Hz temporal resolution. To identify and flag local pollution in the data sets, the Pollution Detection Algorithm (PDA) developed by Beck et al. (2022) was applied to the raw concentration data. The PDA employs a five-step statistical filter to detect and flag contaminated measurement points, which were subsequently removed from the concentration and isotopy data. Using this approach, 17.3 % of the raw data were identified as polluted and removed from the time series. The data columns include the Date and Time in Coordinated Universal Time (UTC), the latitude and longitude of the Research Vessel Polarstern, the methane concentration in ppm and the isotopic composition of CH4 (δ13C-CH4) in ‰.
DOI: 10.1594/pangaea.987055
title: Snow depth and snow-base backscatter intensity from AWI's airborne UWBM quad-polarized radar over Atka Bay (December 2022; ANTSI Project)

description: This dataset contains snow depth and snow-base backscatter intensity for four polarizations (HH, VH, VV, HV) derived from airborne radar data acquired using the quad-polarized AWI ultra-wideband microwave radar (UWBM) during the Antarctic season of 2022/23 (December 5th, 2022). The profiles extend across Atka Bay's snow-covered landfast sea ice in western Dronning Maud Land, East Antarctica. UWBM data was acquired to study snow drifts around icebergs and their radar signatures with a quad-polarized high-resolution radar system. The snow depth is defined as the snow between the snow-ice interface or the snow-flooded snow (slush or brine-wetted snow) interface.
description: Project: ANTSI (ANTarctic Sea Ice and platelet ice survey)Region: Atka Bay's landfast sea ice, Dronning Maud Land, East AntarcticaUWBM Radar Data Owner/Correspondence:Christian Haas (Alfred Wegener Institut Bremerhaven, Germany), Contact: christian.haas@awi.deVeit Helm (Alfred Wegener Institut Bremerhaven, Germany), Contact: veit.helm@awi.de--The tab-delimited file contains (1) snow depths over Atka Bay's landfast sea ice, (2) the backscatter intensity of the snow-base interface for all four polarizations (HH, VH, VV, HV), and (3) the ratio of snow-base interface backscatter intensity of VV/HV and HH/VH. Since the UWBM data were acquired over sea ice with areas of potential flooding and superimposed brine-wetted snow layer development due to a critical snow load, we specifically define our snow column thickness as fresh, non-saline and non brine-wetted snow thickness. The fresh-snow depth represents either the interface between snow and ice or the interface between fresh snow and a two-layer package consisting of flooded snow (i.e., slush) and brine-wetted snow above.
DOI: 10.13130/rd_unimi/n9enq4/iznpe7
title: opt-169.txt

description: 250729_SIMULATION_DATA/TENS-N_1.zip
DOI: 10.1594/pangaea.771193
title: Ultra fine particle concentration at Neumayer station from February 1996 to December 2008
DOI: 10.1594/pangaea.982610
title: AWI airborne laserscanner (ALS) data products over Atka Bay landfast sea ice (East Antarctica) during the ANTSI campaign acquired on December 5, 2022

description: This dataset contains three airborne laserscanner data products (1: Digital Elevation Model of the ice/snow surface, 2: topographic surface roughness, 3: Laser reflectivity map) acquired over Atka Bays landfast sea ice during the Antarctic season of 2022/23 (date of aquisition: December 5th, 2022). The data set covers significant parts of Atka Bay focusing on areas where icebergs were embedded in the landfast sea ice. The scientific focus was to investigate the influence of iceberg on wind-driven snow distribution and slush formation on Antarctic landfast sea ice. The data are available as Geotiff files and have the following coordinate system: EPSG:3031 - WGS 84 / Antarctic Polar Stereographic.
DOI: 10.13130/rd_unimi/n9enq4/ijsifr
title: force_disp_init-159.dat

description: 250729_SIMULATION_DATA/TENS-N_1.zip
DOI: 10.13130/rd_unimi/n9enq4/ms43jj
title: edge_data_final-186.dat

description: 250729_SIMULATION_DATA/TENS-N_1.zip
DOI: 10.13130/rd_unimi/n9enq4/pibngu
title: edges_final-179.dat

description: 250729_SIMULATION_DATA/TENS-N_1.zip
DOI: 10.1594/pangaea.932262
title: Permafrost-Region Lake-DOC version1 Database (PeRL-DOCv1)

description: The pan-Arctic Permafrost-Region Lake-DOC version1 database contains surface water samples of lakes in the permafrost regions of Alaska (49.3 %), Canada (24.2 %), Greenland (3.2 %) and Siberia (23.3 %). It includes concentrations of dissolved organic carbon (DOC) for each of the 1,833 lakes of our synthesis dataset. The lakes of the dataset are located in permafrost regions between 59.2° and 82.5° northern latitude and were sampled between the years 1979 and 2017. We synthesised published datasets and unpublished samples from the author team.We assigned the following information to each lake using existing secondary environmental parameter datasets:- permafrost zone (Brown et al., 1997; Jorgenson et al., 2008),- ecoregion (Olson et al., 2004),- deposit type (Fulton, 1995; Nielsen, 2010; Petrov et al., 2014; Strauss et al., 2016),- ground ice content (Brown et al., 1997; Jorgenson et al., 2008), and- soil organic carbon content (Hugelius et al., 2014).The lakes cover the full range of permafrost extent from the isolated permafrost to continuous permafrost zone. They are located in the boreal forest ecoregion, in the tundra ecoregion and in the boreal-tundra transition zone. For a regionalization we subdivided the data into 13 study areas (22 sites).
DOI: 10.1594/pangaea.974497
title: Age model of sediment core M144_5-6 from the central western Aegean Sea

description: The dataset contains an age-depth model, dry bulk density measurements and sedimentation rates for the Kasten Core M144 KC5-6, collected in the central western Aegean Sea (Eastern Mediterranean). Dry bulk density (DBD) was estimated for every 1cm sample slice, by dividing dry bulk sediment mass by sample volume. Sedimentation rates were calculated for each sample depth through the age-depth model, which is based on radiocarbon dating and Bayesian modelling. Eleven radiocarbon dates (14C) were taken along the 272 cm core, obtained from different depths. Planktic foraminifera (Globigerinoides ruber white) tests, isolated from the 250 to 315 µm fraction, were analysed, by using the accelerator mass spectrometry (AMS) at the NOSAMS facility at Woods Hole Oceanographic Institution. Considering the globally averaged mixed-layer reservoir age of ~400 yr., we calculated the age depth model through Bayesian statistics applying the R-code package rbacon (version 3.1.1) using the calibration curve Marine20 to transform 14C dates to calendar ages.
DOI: 10.13130/rd_unimi/n9enq4/6lqdxv
title: edges_init-180.dat

description: 250729_SIMULATION_DATA/TENS-N_1.zip
DOI: 10.1594/pangaea.974492
title: Otolith accumulation rates in sediment core M144_5-6 from the central western Aegean Sea

description: Otolith accumulation rates (OAR) and fish family composition were analyzed throughout core M144 KC5-6, including Myctophidae, Sternoptychidae, Engraulidae, Gadidae, and Gonostomatidae, representing the most common taxa of the otolith record. A total number of 3272 otoliths has been classified. Otolith count and identification was performed on both cores A and B, with lower resolution between 0.5 cm and 151.5 cm, and highest resolution between 152.5 cm and 272.5 cm, using a binocular stereo microscope (magnification 10x – 20x) and a bifurcated illuminator. OAR was estimated by dividing raw otolith counts by dry bulk sediment mass, and further multiplied with sediment accumulation rate and dry bulk density of each sample and multiplied by ten. Identification of otoliths to the lowest taxonomic level is based on an automatic taxon identification software, web database, and otolith catalogs from the Mediterranean region. The predominance of the target families "Myctophidae, Engraulidae, and Sternoptychidae" comprising over 81% of the fossil assemblage, provides a robust dataset for analyzing their population dynamics over the last 11.4 kyr, to describe fish response to changing environmental conditions, before, during and after sapropel S1 deposition, as discussed in Pallacks et al. (in review).
DOI: 10.1594/pangaea.976695
title: Calcium and Trace Elemental Ratios of Late Triassic-Early Jurassic Carbonate Platforms (Val Adrara)

description: Calcium isotope ratios (δ44Ca) and minor/trace elemental ratios (Mn, Sr, U, V, Cr, Fe /(Ca + Mg)) were measured from bulk carbonate powders in 2023 on samples collected in 2006 from an outcropping near Val Adrara, Lombardy Basin in the Italian Alps region using MC-ICP-MS at University of Chicago. Samples were collected with rock hammers and chemical measurements were performed on samples at an average resolution of 15 m. These deposits represent a shallow carbonate platform active during the Late Triassic (Rhaetian stage, ~199.7 Ma) to Early Jurassic (Hettangian stage, ~196.5 Ma)(van der Schootbrugge, 2008,doi:10.1029/2007GC001914). Carbon (δ13C), oxygen (δ18O), calcium (δ44Ca) isotope and minor/trace elemental ratios (Mn, Sr, U, V, Cr, Fe /(Ca + Mg)) were also measured in 2023 from samples collected from an outcrop near Mount Sparagio, Sicily in 2022. Carbon and oxygen isotope ratios were measured on a Finnigan MAT 253 mass spectrometer. Chemical analyses were performed at a resolution of approximately 5 m. These deposits represent a transitional to evaporitic setting during the Late Triassic (Rhaetian stage, exact dates uncertain) to Early Jurassic (Hettangian stage) (Todaro et al., 2022; doi:10.3389/feart.2022.875466). These analyses were performed to investigate potential differences in diagenetic alteration at the two sites, Val Adrara and Mount Sparagio, across the Triassic-Jurassic transition. The data is associated with the publication Prow-Fleischer et al., (2025), doi:10.1016/j.chemgeo.2024.122530.
DOI: 10.13130/rd_unimi/n9enq4/v3b4lj
title: edges_final-153.dat

description: 250729_SIMULATION_DATA/TENS-N_1.zip
DOI: 10.1594/pangaea.974494
title: Planktic foraminiferal accumulation rates in sediment core M144_5-6 from the central western Aegean Sea

description: Planktic foraminiferal accumulation rates (PFAR) were analyzed in Kasten Core M144 KC5-6, and a total of 108 samples were taken in a sample resolution of 2–4 cm. Around 250–300 specimens were taken from each sample, based on the &gt;125 µm size fraction. PFAR were calculated based on planktic foraminifera abundance, linear sedimentation rate (LSR), and dry bulk sediment (DBS).
DOI: 10.1594/pangaea.974496
title: Downcore color scan data from sediment core M144_5-6 from the central western Aegean Sea

description: The dataset contains a downcore color scan of Kasten Core M144 KC5-6 for each 1cm. The analysis was performed onboard the R/V Meteor using a A MINOLTA CM-700d hand-held spectrophotometer combined with a CM-A178 target mask (Ø 8 mm, with plate). Color data were reported in the CIELAB space using the L*a*b* system. To calibrate the spectrophotometer, a Konica Minolta White Calibration Cap CM-A177 and Zero Calibration Box CM-A182 were used. Spectral reflectance was measured over a wavelength spectrum from 400 to 700 nm. Low L* and a* values representing darker, organic rich layers were defined sapropel phases as discussed in Pallacks et al. (in review).
DOI: 10.13130/rd_unimi/n9enq4/e8hevc
title: force_disp_final-170.dat

description: 250729_SIMULATION_DATA/TENS-N_1.zip
DOI: 10.13130/rd_unimi/n9enq4/zjvetq
title: force_disp_final-152.dat

description: 250729_SIMULATION_DATA/TENS-N_1.zip
DOI: 10.1594/pangaea.975259
title: Calcium and Trace Elemental Ratios of Late Triassic-Early Jurassic Carbonate Platforms (Mount Sparagio)

description: Calcium isotope ratios (δ44Ca) and minor/trace elemental ratios (Mn, Sr, U, V, Cr, Fe /(Ca + Mg)) were measured from bulk carbonate powders in 2023 on samples collected in 2006 from an outcropping near Val Adrara, Lombardy Basin in the Italian Alps region using MC-ICP-MS at University of Chicago. Samples were collected with rock hammers and chemical measurements were performed on samples at an average resolution of 15 m. These deposits represent a shallow carbonate platform active during the Late Triassic (Rhaetian stage, ~199.7 Ma) to Early Jurassic (Hettangian stage, ~196.5 Ma)(van der Schootbrugge, 2008,doi:10.1029/2007GC001914). Carbon (δ13C), oxygen (δ18O), calcium (δ44Ca) isotope and minor/trace elemental ratios (Mn, Sr, U, V, Cr, Fe /(Ca + Mg)) were also measured in 2023 from samples collected from an outcrop near Mount Sparagio, Sicily in 2022. Carbon and oxygen isotope ratios were measured on a Finnigan MAT 253 mass spectrometer. Chemical analyses were performed at a resolution of approximately 5 m. These deposits represent a transitional to evaporitic setting during the Late Triassic (Rhaetian stage, exact dates uncertain) to Early Jurassic (Hettangian stage) (Todaro et al., 2022; doi:10.3389/feart.2022.875466). These analyses were performed to investigate potential differences in diagenetic alteration at the two sites, Val Adrara and Mount Sparagio, across the Triassic-Jurassic transition. The data is associated with the publication Prow-Fleischer et al., (2025), doi:10.1016/j.chemgeo.2024.122530.
DOI: 10.13130/rd_unimi/n9enq4/sydayn
title: opt-184.txt

description: 250729_SIMULATION_DATA/TENS-N_1.zip
DOI: 10.13130/rd_unimi/n9enq4/cosn2w
title: force_disp_init-188.dat

description: 250729_SIMULATION_DATA/TENS-N_1.zip
DOI: 10.13130/rd_unimi/n9enq4/w8jrlk
title: edge_data_final-198.dat

description: 250729_SIMULATION_DATA/TENS-N_1.zip
DOI: 10.1594/pangaea.938498
title: Calcareous nannofossil assemblage of the Smoky Hollow (SH#1) core in south central Utah

description: The data include nannofossil assemblages from the Cenomanian-Turonian boundary of the Smoky Hollow (SH#1) core in south central Utah. For assemblage studies, slides were made from more dilute solutions so that counts could be conducted. Nannofossil specimens were observed under a Carl Zeiss Axioskop 2 Plus light microscope at a magnification of 1000x and identified using standard taxonomy as described by Perch-Nielsen et al. (1985). Specimens one-half the size of a coccolith or larger were identified and a total of over 31,000 specimens were counted.
DOI: 10.1594/pangaea.979244
title: Ice velocity time series, rate of speed change and calving fronts in the Pope, Smith and Kohler region of West Antarctica

description: Ice velocity time series for the Pope, Smith and Kohler basin, Antarctica derived from European Space Agency Copernicus Sentinel-1 satellite data acquired from 2015 to 2022. This dataset consists of annual gridded velocity mosaics provided in GeoTIFF format with a 100 metre by 100 metre grid spacing. The associated spatially and temporally varying error estimate is also provided (see Selley et al., 2025). Also provided are the rate of speed change from 2005-2022 and 2015-2022. The calving front positions of the Crosson and Dotson Ice Shelves from 2005 to 2022. This dataset consisted of two shapefiles. All data is geocoded using a Polar stereographic projection, with a central meridian of 0.0 decimal degrees, and a central latitude of -71.0 decimal degrees. All product units are m/yr.
DOI: 10.13130/rd_unimi/n9enq4/iwws3v
title: edges_final-194.dat

description: 250729_SIMULATION_DATA/TENS-N_1.zip
DOI: 10.15468/dl.gbb8uu
title: Occurrence Download

description: A dataset containing 5409 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.41_1, USA.11_1)",
 "TaxonKey is Terrapene carolina"
 ]
}

 The dataset includes 5409 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040262-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/n9enq4/bz7uwm
title: force_disp_final-166.dat

description: 250729_SIMULATION_DATA/TENS-N_1.zip
DOI: 10.13130/rd_unimi/n9enq4/c4ajwz
title: force_disp_init-199.dat

description: 250729_SIMULATION_DATA/TENS-N_1.zip