cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.912746
title: 10-min averages of ambient ClNO2, N2O5, HNO3, and O3 measured at 12 m above ground level in Ann Arbor, Michigan, USA, from February 1 to March 10, 2016

description: These data represent continuous measurements of tropospheric nitryl chloride (ClNO2), dinitrogen pentoxide (N2O5), and nitric acid (HNO3) using chemical ionization mass spectrometry, and ozone (O3) using a chemiluminescence O3 monitor. The study was conducted from February 1 to March 10, 2016, at the University of Michigan in Ann Arbor, MI, USA. All measurements were conducted at 12 m above ground level.
description: CIMS-specific parameters (Mc Namara et al, 2019):- Average CIMS sensitivity to Cl2 (as I(Cl2)- at m/z 197): 3.0 ± 0.4 Hz/ppt (note a)- Relative sensitivity factors used (all relative to I(Cl2)- sensitivity at m/z 197): I(35ClNO2)- (m/z 208): 3.7 ± 0.4 (note b), I(N2O5)- (m/z 235): 0.85 ± 0.08 (note c), I(HNO3)- (m/z 190): 2.3 ± 0.5 (note d)- Detection limits (corresponding to 2 min background periods), campaign average: ClNO2: 0.9 ppt, N2O5: 4 ppt, HNO3: 34 ppt- Sampling line loss correction, to account for wall losses of ClNO2, N2O5, and HNO3 within the sampling line, was applied to the ambient CIMS data as follows: ClNO2: +20%, N2O5: +14%, HNO3: +3%Calibration:- Note a: Cl2 calibrations were performed every 2 h during the campaign by adding Cl2 from a permeation source (VICI Metronics), in N2, to the CIMS inlet air flow. Characterization of the permeation source was completed via the absorption method described by Liao et al (2011). All other species were calibrated offline relative to Cl2 (noted above).- Note b: ClNO2 was synthesized similarly to Thaler et al (2011) and quantified by thermal dissociation to NO2. - Note c: N2O5 was synthesized similarly to Bertram et al (2009) and quantified via measurement of NO2.- Note d: HNO3 was obtained using a permeation source (VICI Metronics) and quantified via measurement of NO3- using ion chromatography (McNamara et al, 2019).Background measurements were performed every 15 min by passing the air flow through a scrubber containing glass wool and stainless steel wool, heated to 120°C (McNamara et al, 2019).
DOI: 10.1594/pangaea.950992
title: List of tie points used to create the revised composite depth section (rmcd) for ODP Site 198-1210 (S11)
DOI: 10.13130/rd_unimi/n9enq4/gy9fx7
title: nodes_init-147.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.965571
title: Terrigenous grain size as sortable silt from IODP Sites 342-U1411
DOI: 10.13130/rd_unimi/n9enq4/jo0mzc
title: nodes_final-141.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/l3dzos
title: force_disp_init-135.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.965573
title: ε-Hafnium and ε-Neodymium from IODP Site 342-U1411
DOI: 10.1594/pangaea.965576
title: Lead ratios of IODP Site 342-U1411
DOI: 10.13130/rd_unimi/n9enq4/3hfcn0
title: nodes_init-133.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.954277
title: Calculated ratios and offsets of brGDGTs, brGMGTs, TOC, and TLE in Sebangau peats and Morwell lignites
DOI: 10.1594/pangaea.954718
title: Concentrations of brGDGTs and brGMGTs in Sebangau peats and Morwell lignites
DOI: 10.13130/rd_unimi/n9enq4/iuzz7u
title: edge_data_final-147.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/tuwb9w
title: edges_final-132.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.942964
title: C37-38 alkenone of ODP Hole 184-1143A in the Indo-Pacific Warm Pool
DOI: 10.1594/pangaea.954300
title: Carbon isotopic compositions of brGDGTs and brGMGTs, TOC, and TLE in Sebangau peats and Morwell lignites
DOI: 10.13130/rd_unimi/n9enq4/awjv6f
title: edges_init-147.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.946719
title: Ar-Ar ages of iceberg-rafted debris from Scotia Sea IODP Site 382-U1538

description: Ar-Ar ages of 58 individual hornblendes and micas picked from a discrete iceberg-rafted layer deposited ~1.2 Ma at IODP U1538. The layer was recovered 310.79–310.82 meters below sea floor in Hole U1538A-36X-3W. All hornblende and mica (mostly biotite) were handpicked from the 250-μm to 1-mm size fraction, with additional mica picked from the 63–250-μm size fraction. Hornblende, biotite and standards were irradiated at the Cd-lined in-core facility (CLICIT) at the Oregon State reactor. 40Ar/39Ar ages were obtained using single-step CO2 laser fusion at the Lamont Doherty Earth Observatory argon geochronology lab (AGES: Argon Geochronology for the Earth Sciences) to release argon, followed by cleanup with Zr-Ar getters heated at 2-amps. Extracted and cleaned gases were measured on a VG5400 noble gas mass spectrometer in peak hopping mode on an analogue multiplier, using the program Massspec. Nuclear interference corrections used values for OSU from Renne et al. (1998), and data were also corrected for background and mass discrimination using measured blanks and air pipettes. J values used to calculate ages were based on co-irradiated Fish Canyon sanidine standard (28.201±0.046 Ma; Kuiper et al. (2008), with decay constants from Min et al. (2000)).
DOI: 10.1594/pangaea.954254
title: Relative abundances of brGDGTs and brGMGTs in Sebangau peats and Morwell lignites
DOI: 10.13130/rd_unimi/n9enq4/cau6fo
title: force_disp_init-100.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/jmsapk
title: nodes_final-110.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.943345
title: Principal components analysis (PCA) of sediment core KNR197-10CDH42
DOI: 10.1594/pangaea.967351
title: UAS-multisensor input imagery and random forest classification products for mapping vegetation species at a tallgrass prairie in Urbana, IL

description: Three mosaic raster files are provided depicting Uncrewed Aerial Systems (UAS) data collection from RGB, multispectral, and hyperspectral sensors, which were collected at Weaver Park in Urbana, IL. Along with spectral bands, all image products are fused with canopy height models (CHM), where RGB and multispectral products are fused with an SfM-derived (structure from motion) CHM and the hyperspectral product is fused with a LiDAR-derived (Light Detection and Ranging) CHM. A multispectral phenological time series product is also provided, where Normalized Difference Vegetation Index (NDVI) was calculated across six time periods in one growing season and where an additional 15 NDVI-derived metrics were calculated, resulting in a 21-band image product. Differential GPS (dGPS; 2cm resolution) data identifying vegetation species are also provided, which were used at the training and testing datasets for conducting random forest classifications on each image product. Random forest classification models were applied to each of the three UAS-sensor types both with and without CHM fusion, and to the multispectral phenology time series image, resulting in the 7 vegetation maps provided.
description: All data files have WGS 1984 World Mercator coordinate system
DOI: 10.13130/rd_unimi/n9enq4/if25em
title: edges_final-107.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.902774
title: (Supplement 1) Automated morphometric foraminifera data from a sediment trap from the West Antarctic Peninsula
DOI: 10.1594/pangaea.927865
title: Magnetic susceptibility of sediment core JR298-PC723
DOI: 10.13130/rd_unimi/n9enq4/jeswyd
title: opt-113.txt

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/ysh2ru
title: nodes_final-114.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.950427
title: Predicted mean grain size of the JPC42 sediment core from Wide Channel (Chile), calculated following Liu et al. (2019)

description: Mean grain size predicted at a 2 mm resolution using the XRF intensities of Fe, K, Ti, Rb, Zr and Mn following Liu et al. (2019, doi:10.1029/2018GC008154). A set of 112 samples was used to calibrate the prediction model.
DOI: 10.1594/pangaea.950428
title: Mean ages calculated by the bayesian age-depth model of sediment core JPC42 from Wide Channel, Chile

description: Age-depth model of the JPC42 sediment core. The core chronology is based on the radiocarbon ages published in Caniupán et al. (2014, doi:10.1016/j.yqres.2014.07.009). All radiocarbon ages were re-calibrated using the SHCal20 calibration curve (Hogg et al., 2020, doi:10.1017/RDC.2020.59) and a marine reservoir age of 780 yr (Caniupán et al., 2014). The age-depth model and sedimentation rates were calculated using the BACON 2.5.5 software (Blaauw and Christen, 2011, doi:10.1214/11-BA618) in R (R Core Team, 2020, https://www.R-project.org/), taking into account the instantaneous deposition of the four turbidites at 1089 - 1049, 551 - 516, 383 - 364, and 171 - 158 cm. The table contains the mean age of the sediment every 1 mm.
DOI: 10.13130/rd_unimi/n9enq4/vosts4
title: opt-133.txt

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.930598
title: Pollen and spores of IODP Site 361-U1479
DOI: 10.13130/rd_unimi/n9enq4/fliryq
title: edges_init-101.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.937080
title: Table S7, Compilation of Eastern Mediterranean Sea records containing preserved diatom frustules during event S5

description: Compilation of Eastern Mediterranean Sea records in which diatom frustules have been reported during event S5, including: event, site, latitude, longitude, species, preservation quality, species, number of layers, and reference. All data were compiled from the literature.This work was supported by the Gordon and Betty Moore Foundation.
DOI: 10.13130/rd_unimi/n9enq4/askhbr
title: edges_final-113.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/ddmnnu
title: force_disp_init-114.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928519
title: Magnetic susceptibility of sediment core JR298-GBC735
DOI: 10.1594/pangaea.928527
title: Magnetic susceptibility of sediment core JR298-PC736
DOI: 10.13130/rd_unimi/n9enq4/vlc4ol
title: force_disp_final-101.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928411
title: Element analysis of sediment core JR298-PC732
DOI: 10.1594/pangaea.928488
title: Grain-size and mineral composition, and water content of sediment core JR298-PC727
DOI: 10.13130/rd_unimi/n9enq4/dpz9kj
title: nodes_init-104.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/stwctg
title: edges_final-122.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928412
title: Element analysis of sediment core JR298-PC734
DOI: 10.13130/rd_unimi/n9enq4/lgtya6
title: nodes_init-112.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928474
title: Grain-size composition and water content of sediment core JR298-GBC724
DOI: 10.1594/pangaea.928516
title: Magnetic susceptibility of sediment core JR298-GBC730
DOI: 10.13130/rd_unimi/n9enq4/2muxpc
title: edges_init-102.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/oah95l
title: force_disp_init-105.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928513
title: Magnetic susceptibility of sediment core JR298-GBC724
DOI: 10.13130/rd_unimi/n9enq4/fptqfj
title: force_disp_final-132.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928403
title: Element analysis of sediment core JR298-GBC730
DOI: 10.1594/pangaea.928493
title: Grain-size composition and water content of sediment core PS2556-2
DOI: 10.13130/rd_unimi/n9enq4/dqmttv
title: edges_init-129.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/lougnl
title: force_disp_init-129.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928476
title: Grain-size composition and water content of sediment core JR298-GBC729
DOI: 10.13130/rd_unimi/n9enq4/hw7vax
title: force_disp_init-110.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928471
title: Grain-size composition and water content of sediment core JR298-GBC722
DOI: 10.1594/pangaea.928477
title: Grain-size composition and water content of sediment core JR298-GBC731
DOI: 10.13130/rd_unimi/n9enq4/lmrblx
title: opt-115.txt

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928475
title: Grain-size composition and water content of sediment core JR298-GBC725
DOI: 10.1594/pangaea.940540
title: Results of calculations of various size fractions including the % of sediment &gt; 240 µm (ice rafted) and sortable silt estimates in sediment core MD99-2317 (Table 2)
DOI: 10.13130/rd_unimi/n9enq4/ipr1rk
title: force_disp_init-104.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/sbgulw
title: edges_final-100.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.965000
title: Early Eocene-early Oligocene carbon and oxygen stable isotope data of bulk carbonates from IODP Site U1558

description: Here, we present carbon and oxygen stable isotope data measured on bulk carbonates samples from Site U1558. The site was drilled during the International Ocean Discovery Program engineering Expedition 390C and Expedition 393 and is part of the South Atlantic Transect (SAT), a transect drilled across the western side of the southern Mid-Atlantic Ridge at ~31°S. The data set was built analyzing samples from Site U1558 Holes A and F. The data reported here span the early Eocene-early Oligocene, according to the shipboard preliminary age model for this site, and can be used to refine the age model for this site, to correlate this site with sites from other ocean basins, and could be of help in paleoceanography-related investigations.
DOI: 10.13130/rd_unimi/n9enq4/nhy6va
title: nodes_init-108.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928399
title: Element analysis of sediment core JR298-GBC722
DOI: 10.1594/pangaea.954744
title: Astrochronological age model (iron) from the Contessa Road (Italy)

description: Ages are presented in kyr relative to the PETM onset (0 kyr).
DOI: 10.13130/rd_unimi/n9enq4/eqwy8w
title: nodes_final-139.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/jv8cbm
title: edges_final-105.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928402
title: Element analysis of sediment core JR298-GBC729
DOI: 10.13130/rd_unimi/n9enq4/lunpo7
title: nodes_init-121.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.940541
title: Quantitative X-ray diffraction replicate results of the weight % of non-clay and clay minerals from the 7 A versus B samples of sediment core MD99-2317 (Table 3)
DOI: 10.1594/pangaea.940542
title: Grain-size data from the 7 A versus B samples of sediment core MD99-2317 (Table 4)
DOI: 10.13130/rd_unimi/n9enq4/xicbhw
title: nodes_final-116.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/zmevnn
title: edge_data_final-123.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928407
title: Element analysis of sediment core JR298-PC723
DOI: 10.1594/pangaea.954765
title: Astrochronological age model (silicon) from the Contessa Road (Italy)

description: Ages are presented in kyr relative to the PETM onset (0 kyr).
DOI: 10.13130/rd_unimi/n9enq4/to2sj9
title: nodes_init-131.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928400
title: Element analysis of sediment core JR298-GBC724
DOI: 10.1594/pangaea.928515
title: Magnetic susceptibility of sediment core JR298-GBC729
DOI: 10.13130/rd_unimi/n9enq4/diqhks
title: force_disp_final-115.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/z5dx6o
title: force_disp_final-148.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928478
title: Grain-size composition and water content of sediment core JR298-PC723
DOI: 10.1594/pangaea.928479
title: Grain-size composition and water content of sediment core JR298-PC726
DOI: 10.13130/rd_unimi/n9enq4/ppgore
title: force_disp_final-119.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928489
title: Grain-size and mineral composition, and water content of sediment core JR298-PC734
DOI: 10.1594/pangaea.954722
title: Replicate X-ray fluorescence measurements from the Contessa Road (Italy)
DOI: 10.13130/rd_unimi/n9enq4/mt7jha
title: edge_data_final-125.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.966487
title: Present day and end of century (2100) iron speciation in the surface ocean

description: The main component of this data set comprises calculated inorganic iron concentrations (Fe' = sum of iron hydroxide species). Inorganic iron is the most bioavailable chemical form of Fe in the ocean. Concentrations of Fe' were calculated according to two models, which we refer to as the discrete ligand model and the continuous binding site model. The discrete ligand model, which is currently applied to calculate Fe speciation in global biogeochemical models, combines dissolved Fe concentrations, conditional stability constants and ligand concentrations to obtain inorganic iron, whilst the continuous distribution model uses the NICA-Donnan model to obtain Fe'. The data supports the manuscript "Climate change decreases biologically available iron pool in the surface ocean." In this manuscript we use the continuous binding site model to show that surface ocean Fe' is sufficient for Fe-replete phytoplankton. We apply new estimates of Fe' to a simple phytoplankton growth model to show that both Fe' and relative growth rates will decrease under the high-end future climate scenario (SSP5-8.5) in all Fe-limited ocean regions, and will mitigate current projections of increased primary productivity in Fe-limited high latitudes regions such as the Southern Ocean. Overall, we demonstrate that Fe-binding site heterogeneity is critical for iron speciation, and must be considered when predicting the response of marine primary producers to ongoing changes in ocean chemistry.
DOI: 10.13130/rd_unimi/n9enq4/ifynlg
title: force_disp_final-141.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/nno0de
title: nodes_init-129.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928401
title: Element analysis of sediment core JR298-GBC725
DOI: 10.1594/pangaea.954747
title: Astrochronological age model (calcium) from the Contessa Road (Italy)

description: Ages are presented in kyr relative to the PETM onset (0 kyr).
DOI: 10.13130/rd_unimi/n9enq4/hluju5
title: edges_final-134.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.928454
title: Discrete element analysis of sediment core JR298-PC723
DOI: 10.13130/rd_unimi/n9enq4/pkrbup
title: edge_data_final-138.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/spyojv
title: force_disp_init-139.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/tx87iq
title: nodes_final-104.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.968180
title: Pond water properties in drained lake basins in northern Alaska, August 2018

description: These data originate from a field survey in early August 2018 in the Teshekpuk Lake region on the Alaskan North Slope. We sampled pond waters in drained lake basins. Electrical conductivity and pH of pond waters were measured in the field. Pond water samples were analyzed for dissolved organic carbon, total dissolved nitrogen, and methane concentrations. All analyses were conducted in AWI laboratories in Potsdam, Bremerhaven and Helgoland.
DOI: 10.13130/rd_unimi/n9enq4/aaickb
title: opt-103.txt

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.13130/rd_unimi/n9enq4/qhnhex
title: edge_data_final-119.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.940553
title: NEEM-2011-S1 ice-core aerosol record (conductivity, NH4, NO3, BC, acidity, Na, Mg, S, Ca, Mn, Sr, Ce) in NW-Greenland at 2 cm resolution from 86-1997 CE on the annual-layer counted NS1-2011 chronology

description: A continuous ice core analytical system was used to analyze the ~410 m NEEM-2011-S1 ice core collected in summer 2011 near the NEEM deep drilling site in NW Greenland. The core was analyzed for a broad range of elements and chemical species using a coupled continuous flow analysis system with two inductively coupled plasma mass spectrometers and single-particle soot photometer. The aerosol records are provided at 2 cm depth resolution to account for signal dispersion in the online analytical system. All records are on the NS1-2011 ice-core chronology: Between 1258 and 1997 CE, this chronology is based on mannual annual-layer counting based on multi-parameter aerosol records constrained by historic volcanic age markers (i.e. Krakatao 1883; Tambora 1815; Laki 1783; Mount Parker 1641; Huaynaputina 1600; Veidivötn 1477; Samalas 1257). Between 86 CE and 1258 CE, this chronology is based on automated annual-layer counting using the StratiCounter program, an automated, objective, annual-layer detection method based on Hidden Markov Model algorithms based on multi-parameter aerosol records and constrained by a solar proton events in 775 and 993 CE, and documentary evidence of volcanic dust veils in 536, 626 and 939 CE.
DOI: 10.13130/rd_unimi/n9enq4/ogbehd
title: force_disp_init-102.dat

description: 250729_SIMULATION_DATA/TENS-M_1.zip
DOI: 10.1594/pangaea.946941
title: Planktic to benthic foraminifera ratio in the South Dover Bridge core
DOI: 10.1594/pangaea.966693
title: An ultra-high resolution water isotope record (d18O, dD) from the Renland ice cap spanning 120,000 years of climate history

description: The RECAP ice core was drilled at the Renland ice cap (71.30°N, 26.72°W, 2315 m asl) in 2015 from the surface to bedrock at a final depth of 584 m. Due to its close proximity to the east Greenland coast the record provides us with climate information reflecting past changes at the margins of the Greenland Ice Sheet. Stable water isotope ratios in polar ice record hydrological cycle changes due to isotope fractionation processes, occurring during evaporation, transportation and condensation. Here we present ultra high resolution water isotope measurements (δ18O, δ2H) obtained with Infrared-Laser Spectroscopy coupled to a state-of-the-art continuous melting system for ice core analysis. The measurements are calibrated to the VSMOW-SCALE following a daily two-point calibration. We used well defined local water standards calibrated against the primary IAEA standard waters. Using the results from the repeated VSMOW-SLAP calibrations we deduce an accuracy level of 0.02 and 0.3 ‰ for δ18O, δ2H respectively. Using spectral methods we estimate the compound noise level of the measurements directly from the δ18O and δ2H signals to be 0.08 and 0.2 ‰ respectively. Gaps in the record are filled using an iterative Maximum Entropy Method interpolation algorithm by Fahlmann and Ulrych (1982). The age scale is based on a linear interpolation of the water isotope record on the RECAP GICC05modelext Time Scale (version 1/3-2018 - PANGAEA, https://doi.org/10.1594/PANGAEA.906108).
description: Technical note on the MEM gap-filling methodology:The MEM infilled data have been generated using the Fahlmann and Ulrych (1982) MEM #interpolation scheme. The MEM infilling is carried out iteratively by first filling out the smallest gap in the #data, and then use progressively larger and larger data sections (connected by small infilled gaps) to infill larger and larger gaps in the data series. The AR order of the MEM infilling routine is adaptive (as it is limited by the length of the data sections without gaps used to calculate the AR coefficients), but the AR order #has nevertheless been capped at a maximum of 500 irrespective of data availability.
DOI: 10.13130/rd_unimi/n9enq4/sac1cd
title: opt-126.txt

description: 250729_SIMULATION_DATA/TENS-M_1.zip