cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.983802
title: Pore-water pH, H2S, Cl-, SO42-, SiO2, NO2-, PO43-, NH4+, NO3-, major and trace element data from MUC cores taken during RV HEINCKE cruises HE575 and HE595 in the Helgoland Mud Area, German Bight

description: This dataset includes downcore measurements of pH values, H2S, Cl-, SO42-, SiO2, NO2-, PO43-, NH4+, NO3-, As, Ba, Ca, Cu, Fe, K, Li, Mg, Mn, Mo, P, Si and Sr concentrations for sediment cores retrieved using multi-corer sampling during RV Heincke expeditions HE575 and HE595 in 2021 and 2022, respectively. The samples were collected in the framework of the Project APOC (Anthropogenic impacts on particulate organic carbon cycling in the North Sea).All measurements were performed in the laboratories of the Alfred Wegener Institute (AWI) in Bremerhaven, Germany, except pH values, which were determined onboard the research vessel.
DOI: 10.1594/pangaea.983806
title: Pore-water DIC and δ13C-DIC data, as well as solid-phase porosity and TOC data from a MUC core from RV HEINCKE cruise HE595 at Tonne E3 in the Helgoland Mud Area, SE German Bight

description: This dataset includes downcore measurements of dissolved inorganic carbon (DIC) and its stable carbon isotopic composition (δ13C-DIC), as well as solid-phase porosities and total organic carbon (TOC) contents from a sediment core retrieved using multi-corer sampling during RV Heincke expedition HE595 in 2022. The samples were collected in the framework of the Project APOC (Anthropogenic impacts on particulate organic carbon cycling in the North Sea). DIC contents were determined in the laboratories of the Alfred Wegener Institute (AWI) in Bremerhaven, Germany. The δ13C-DIC data were produced at MARUM—Center for Marine Environmental Sciences, University of Bremen, Bremen, Germany. Solid-phase porosity data were produced in the laboratories of the Alfred Wegener Institute (AWI) in Bremerhaven, Germany. Total organic carbon contents were determined at the Faculty of Geosciences at the University of Bremen, Bremen, Germany.
DOI: 10.1594/pangaea.728578
title: Table 2: AMS radiocarbon ages from carbonate microfossils of sediment core MD97-2130

description: The ages are initially presented in conventional radiocarbon years (5730 a half-life), corrected for isotopic fractionation, and without reservoir correction. Samples with d13C values shown as 0 per mil produced insufficient CO2 to prepare an aliquot for 13C determination. The d13C value of 0 is assumed for these samples. An error in d13C of 1 per mil corresponds to an error of 8 radiocarbon years. The calibrated 14C ages (an approximate calendar timescale, pre-1950 AD) were calculated using the relationships provided by Stuiver and Reimer (1993), for samples with conventional ages less than 10 ka; and using Bard et al. (1998), for samples older than 10ka. For marine samples a reservoir correction of 400 years has been applied. No reservoir correction is applied for lacustrine samples (OZE 254, 259, 250, 251, 252, 253) because of the current absence of information concerninglacustrine 14C reservoir values for Lake Carpentaria.
DOI: 10.1594/pangaea.842826
title: Mineral geochemistry of Lake Anterne sediments, 10 years running average, determined by Itrax Core scanner
DOI: 10.1594/pangaea.900588
title: Regolith water content of Kangerl_WGreenl_TDR_2_3
DOI: 10.1594/pangaea.900589
title: Regolith water content of Kangerl_WGreenl_TDR_2_4
DOI: 10.1594/pangaea.900583
title: Regolith water content of Kangerl_WGreenl_TDR_1_2
DOI: 10.1594/pangaea.900577
title: Regolith temperature at Kangerl_WGreenl_TBL
DOI: 10.1594/pangaea.932647
title: Benthic foraminiferal assemblages from cold water coral habitats off northwest Scotland

description: The dataset compiles counts of fossil benthic foraminifera from 69 sediment samples collected from marine sediment core +59-07/293VE retrieved in cold-water coral mounds. Vibrocore +59-07/293VE (59°43.40 N; 06°28.90 W) was retrieved at 282 m water depth with a total recovery of 495 cm during a British Geological Survey campaign in August 1984, at the junction with the Wyville Thomson Ridge and the West Shetland shelf/Hebridean shelf off northwest Scotland onboard the MV British Enterprise Four (Long et al., 1999). Foraminiferal assemblage data was collected in 2015, and the resulting record covers the last glacial period to the late Holocene. The purpose was to i) better constrain the paleoenvironmental changes that took place in the region since the last glacial time and ii) define the environmental conditions that allowed the onset, formation and decline of cold-water corals in this area.
DOI: 10.1594/pangaea.120915
title: Fig. 17: Geochemistry of sediment core MD97-2130
DOI: 10.1594/pangaea.846754
title: Stable isotopic composition of Cibicidoides wuellerstorfi of sediment core KNR140-37JPC
DOI: 10.1594/pangaea.957437
title: Snow stable water isotopes of a surface transect at the EastGRIP deep drilling site, summer season 2017, 1 cm

description: Snow samples were taken on a daily basis along a 100 m wind-parallel transect at the EastGRIP ice core deep drilling site. The snow was collected at 11 positions with 10 m spacing in 2 depth intervals. The depth intervals are top 1 cm and top 7 cm. In addition, cumulative samples were taken from the top 1 cm depth interval. Each day, undisturbed snow was sampled and the exact sample location was marked to avoid sampling disturbed snow during the next sampling event. The samples were shipped frozen to the Alfred-Wegener-Institut and stored at -25°C. Before measurements, the samples were melted in the sample bags at room temperature. For the measurement of the isotopic composition, the instruments Picarro L2120-i and Picarro L2130-i were used. The measurement set-up followed the Van-Geldern protocol (Van Geldern and Barth, 2012). Each sample was injected 4 times. As a measure of accuracy, we calculated the combined standard uncertainty (Magnusson et al., 2017) including the long-term reproducibility and bias of our laboratory by measuring a quality check standard in each measurement run and including the uncertainty of the certified standards. The combined uncertainty for δ18O is 0.11 ‰ and for δ2H is 0.6 ‰.
DOI: 10.1594/pangaea.957438
title: Snow stable water isotopes of a surface transect at the EastGRIP deep drilling site, summer season 2017, 7 cm

description: Snow samples were taken on a daily basis along a 100 m wind-parallel transect at the EastGRIP ice core deep drilling site. The snow was collected at 11 positions with 10 m spacing in 2 depth intervals. The depth intervals are top 1 cm and top 7 cm. In addition, cumulative samples were taken from the top 1 cm depth interval. Each day, undisturbed snow was sampled and the exact sample location was marked to avoid sampling disturbed snow during the next sampling event. The samples were shipped frozen to the Alfred-Wegener-Institut and stored at -25°C. Before measurements, the samples were melted in the sample bags at room temperature. For the measurement of the isotopic composition, the instruments Picarro L2120-i and Picarro L2130-i were used. The measurement set-up followed the Van-Geldern protocol (Van Geldern and Barth, 2012). Each sample was injected 4 times. As a measure of accuracy, we calculated the combined standard uncertainty (Magnusson et al., 2017) including the long-term reproducibility and bias of our laboratory by measuring a quality check standard in each measurement run and including the uncertainty of the certified standards. The combined uncertainty for δ18O is 0.11 ‰ and for δ2H is 0.6 ‰.
DOI: 10.1594/pangaea.120917
title: Fig. 17: Geochemistry of sediment core MD97-2132
DOI: 10.1594/pangaea.906582
title: Sedimentology, geochemistry and mineralogy of sediment core GN200 from the Gaxun Nur basin (Ejina basin), NW China

description: Sediment properties of a 223-m-long drill core from the Ejina basin, NW China, for reconstructing the palaeoenvironmental history of a part of the Gobi Desert. The sediment study is part of the Q-TiP project (Quaternary Tipping Points of Lake Systems in the Arid Zone of Central Asia) in the frame of the CAME II program (BMBF funded).
DOI: 10.5061/dryad.0vt4b8hbr
title: Data from: Sensory expectations shape neural population dynamics in motor circuits

description: The neural basis of movement preparation has been extensively studied
 during self-initiated actions where motor cortical activity during
 preparation shows a lawful relationship to the parameters of the
 subsequent action. However, movements are regularly triggered or corrected
 based on sensory inputs caused by disturbances to the body. Since such
 disturbances are often predictable and since preparing for disturbances
 would make movements better, we hypothesized that expectations about
 sensory inputs also influence preparatory activity in motor circuits. Here
 we show that when humans and monkeys are probabilistically cued about the
 direction of future mechanical perturbations, they incorporate sensory
 expectations into their movement preparation and improve their corrective
 responses. Using high-density neural recordings, we establish that sensory
 expectations are widespread across the brain, including the motor cortical
 areas involved in preparing self-initiated actions. The geometry of these
 preparatory signals in the neural population state is simple, scaling with
 the probability of each perturbation direction. After perturbation onset,
 a condition-independent signal shifts the neural state leading to rapid
 responses that initially reflect sensory expectations. Based on neural
 networks coupled to a biomechanical model of the arm, we show that this
 neural geometry emerges only when sensory inputs signal that a
 perturbation has occurred before resolving the direction of the
 perturbation. Thus, just as preparatory activity sets the stage for
 self-initiated movement, it also configures motor circuits to respond
 efficiently to sensory inputs.
description: # Data from: Sensory expectations shape neural population dynamics in
 motor circuits Dataset DOI:
 [10.5061/dryad.0vt4b8hbr](https://doi.org/10.5061/dryad.0vt4b8hbr) ##
 Description of the data and file structure Data are stored in matlab
 (.mat) format Each file contains neural and behavioral data from one
 recording session, labeled by monkey and recording session number. Details
 on each recording session can be found in the Recording Session Info
 Table. All variables include descriptors that detail the format of the
 data in each variable. The variables contained in each recording are: *
 "**neural**": binary spike timing information for all trials *
 "**kin**": hand and joint kinematics for all trials *
 "**trial**": timing and condition information for all trials *
 "**date**": date and time of recording session ### Files and
 variables #### File: Recording_Session_Info_Table.pdf
 **Description:** Information about each recording session, including date,
 monkey, trials, neurons, brain areas, etc. #### Data Files:
 Monkey-(M/P)-Recording-#.mat **Description:** Each recording session has a
 single data file including the monkey (M or P) and the recording session
 number (#).
DOI: 10.1594/pangaea.957434
title: Snow stable water isotopes of a surface transect at the EastGRIP deep drilling site, summer season 2016, 1 cm

description: Snow samples were taken on a daily basis along a 1000 m wind-parallel transect at the EastGRIP ice core deep drilling site. The snow was collected at 11 to 29 positions with 10 m spacing for the first 100 m and 50 m spacing for the last 900 m in 2 depth intervals. The depth intervals are top 1 cm and top 6 cm. Each day, undisturbed snow was sampled and the exact sample location was marked to avoid sampling disturbed snow during the next sampling event. The samples were shipped frozen to the Alfred-Wegener-Institut and stored at -25°C. Prior to measurements, the samples were melted in the sample bags at room temperature. For the measurement of the isotopic composition, the instrument Picarro L2130-i was used. The measurement set-up followed the Van-Geldern protocol (Van Geldern and Barth, 2012). Each sample was injected 4 times. As a measure of accuracy, we calculated the combined standard uncertainty (Magnusson et al., 2017) including the long-term reproducibility and bias of our laboratory by measuring a quality check standard in each measurement run and including the uncertainty of the certified standards. The combined uncertainty for δ18O is 0.11 ‰ and for δ2H is 0.8 ‰.
DOI: 10.1594/pangaea.957435
title: Snow stable water isotopes of a surface transect at the EastGRIP deep drilling site, summer season 2016, 6 cm

description: Snow samples were taken on a daily basis along a 1000 m wind-parallel transect at the EastGRIP ice core deep drilling site. The snow was collected at 11 to 29 positions with 10 m spacing for the first 100 m and 50 m spacing for the last 900 m in 2 depth intervals. The depth intervals are top 1 cm and top 6 cm. Each day, undisturbed snow was sampled and the exact sample location was marked to avoid sampling disturbed snow during the next sampling event. The samples were shipped frozen to the Alfred-Wegener-Institut and stored at -25°C. Prior to measurements, the samples were melted in the sample bags at room temperature. For the measurement of the isotopic composition, the instrument Picarro L2130-i was used. The measurement set-up followed the Van-Geldern protocol (Van Geldern and Barth, 2012). Each sample was injected 4 times. As a measure of accuracy, we calculated the combined standard uncertainty (Magnusson et al., 2017) including the long-term reproducibility and bias of our laboratory by measuring a quality check standard in each measurement run and including the uncertainty of the certified standards. The combined uncertainty for δ18O is 0.11 ‰ and for δ2H is 0.8 ‰.
DOI: 10.15468/dl.ww34bm
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Listia marlothii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 26 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004478-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.927898
title: Physical oceanography at CTD station 64PE421_38CTD
DOI: 10.1594/pangaea.907461
title: Ostracoda abundances in sediment core GN200 from the Gaxun Nur basin (Ejina basin), NW China

description: &lt;1 = fragments
DOI: 10.1594/pangaea.982858
title: CTD-O2WMED: Quality controlled dataset of CTD dissolved oxygen profiles in the Western Mediterranean Sea (2004-2023) from R/V oceanographic cruises

description: A new dataset from oceanographic cruises in the Western Mediterranean Sea (WMED) was compiled to integrate the previously published regional data product about dissolved inorganic nutrients (CNR-DIN-WMED, Belgacem et al., 2019, 2020). The Mediterranean region is experiencing rapid changes, necessitating high-quality and reliable datasets. However, the scarcity of in-situ observations hinders the understanding of these changes and their impact on biogeochemical cycles. Dissolved oxygen (O2) is a vital component of marine ecosystems and plays a fundamental role in governing nutrient and carbon cycles, underscoring the need for accurate and reliable data. To address this, a high resolution, regional-scale data product was developed to understand decadal variability and spatial/temporal patterns of the ventilation process in the WMED. CTD-Oxygen in the Western Mediterranean Sea (CTD-O2WMED) CNR dataset presents an extensive collection of unpublished oxygen measurements collected between 2004 and 2023, along with a description of the quality assurance procedures. The quality assurance process involves rigorous primary quality control, including sensor post-calibration validation against discrete Winkler titrations, initial screening, and standardization. CTD-O2WMED-original version represents dataset that has passed first-level quality checks, but has not yet been corrected through crossover analysis (i.e., secondary quality control) (Belgacem et al., in review, 2024). The adjusted version of the dataset CTD-O2WMED-adjusted builds upon the original dataset by incorporating the secondary quality control corrections, including inter-cruise crossover analysis using deep reference datasets. The adjusted CTD-O2WMED datasets provide a valuable foundation for investigating long-term changes in dissolved oxygen in the WMED, supporting efforts to track deoxygenation trends, assess ventilation dynamics, and calibrate biogeochemical Argo floats (BGC-Argo), as well as validate regional biogeochemical models.
DOI: 10.1594/pangaea.886348
title: Lithology of sediment core NMOR1967, Tourbière des Narses Mortes, France

description: This dataset was archived on 2018-02-15 from the EPD database (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.957036
title: Micro-inclusions identified with Raman spectroscopy in thirteen samples (1360 -2115 m) from the EastGRIP ice core

description: Micro-inclusions in thirteen samples (1360-2115 m) from the Last Glacial of the East Greenland Ice Core Project ice core in North-East Greenland were located with microstructure mapping and analysed with Raman spectroscopy. Ice samples were drilled and processed between 2018 and 2019, Raman analysis was performed between March 2021 and April 2022 at the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research. The samples are between 14.4 and 49.8 ka yr old and cover the Last Glacial period. Ice sample sizes are usually 10 x 10 mm; micro-inclusions are only a few micrometers large. The original ice core sample bag (55 cm long) number is indicated by four numbers, the number after the underscore implies the section of the respective bag. S_x indicated the sample number as referred to in the preprint, the depth is displayed in m. Located micro-inclusions are indicated with colored dots measured with Raman spectroscopy. Images point in the direction of the ice sheet surface, i.e. top is upwards.
DOI: 10.1594/pangaea.912272
title: Boron to calcium ratios (B/Ca) of three species of planktonic foraminifera in Santa Barbara Basin
DOI: 10.1594/pangaea.930731
title: Temperature and precipitation reconstruction for European samples from the Northern Hemisphere Harmonized Pollen Archive
DOI: 10.1594/pangaea.962906
title: Occurrences of fossil benthic foraminifera in sediment core GPC04 at the Ninetyeast Ridge, Indian Ocean

description: We investigated benthic foraminifera in cores GPC03 and GPC04 in the northeast tropical Indian Ocean (TIO) over the past ~450 ka to evaluate the ballasting effect of particulate organic matter (POM) and the long-term zonal change during the mid-Brunhes dissolution interval (MBDI). Today, interannual climate and oceanographic variability in the TIO is governed by the Indian Ocean Dipole (IOD), which manifests as asymmetric zonal oceanographic change. Here we provide our sediment geochemical, stable oxygen and carbon isotope data and faunal data of benthic foraminifera in core GPC04.
DOI: 10.1594/pangaea.927891
title: Physical oceanography at CTD station 64PE421_12CTD
DOI: 10.1594/pangaea.945345
title: Reconstruction of Mediterranean coastal sea level at different timescales based on tide gauge records

description: A coastal sea level reconstruction based on tide gauge observations is developed and applied to the western basin of the Mediterranean sea, including sea level anomaly (SLA) and interpolation error along the entire coastline. The reconstructions are carried out in four frequency bands: periods longer than 10 years, periods between 1 and 10 years, periods between 1 month and 1 year, and periods between 1day and 1month. Total sea level at monthly and daily resolution, obtained by merging the different frequency bands, is also provided. The reconstructions are based on an optimal interpolation method in which the correlation between tide gauge data and all coastal points has been determined from the outputs of the numerical model managed by the Balearic Islands Coastal Observing and Forecasting System (SOCIB, https://www.socib.es). The reconstructions for frequencies lower than 1 month use monthly observations from the Permanent Service for Mean Sea Level (PSMSL, https://www.psmsl.org/) database and cover the period from 1884 to 2019. For the reconstruction of higher frequencies, hourly observations from the Global Extreme Sea Level Analysis (GESLA–2, https://www.gesla.org/) dataset are used, and cover from 1980 to 2015.
description: The compressed file includes 6 datasets in NetCDF format, for monthly, daily and the 4 frequency band reconstructions.Funded by MCIN/AEI/10.13039/501100011033 and by ERDF A way of making Europe.
DOI: 10.1594/pangaea.930894
title: Taxonomically harmonized pollen counts of European samples with revised chronologies
DOI: 10.1594/pangaea.900584
title: Regolith water content of Kangerl_WGreenl_TDR_1_3
DOI: 10.1594/pangaea.888546
title: Lithology of sediment core LPBC, Lago Preola, Italy

description: This dataset was archived on 2018-04-04 from the EPD database (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.927917
title: Physical oceanography at CTD station 64PE421_8CTD
DOI: 10.1594/pangaea.900585
title: Regolith water content of Kangerl_WGreenl_TDR_1_4
DOI: 10.1594/pangaea.927909
title: Physical oceanography at CTD station 64PE421_56CTD
DOI: 10.1594/pangaea.900570
title: Precipitation in Kangerlussuaq, West Greenland
DOI: 10.1594/pangaea.900593
title: Regolith water content of Kangerl_WGreenl_TDR_3_3
DOI: 10.1594/pangaea.900591
title: Regolith water content of Kangerl_WGreenl_TDR_3_2
DOI: 10.1594/pangaea.950038
title: Heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy DS2016: 120 s after the heating cycle

description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA DS2016 is an autonomous instrument that was installed on landfast ice in Prydz Bay, East Antarctica, in May 2016. The buoy was deployed at 68.57°S; 77.95°E, ~1 km northwest off Australian Station Davis Coast with initial thicknesses of snow and ice of 0.06 and 0.80 m, respectively, on 23 May 2016. The thermistor chain was 5 m long and included 240 sensors with a regular spacing of 2cm. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 23 May and 27 October 2016 in sample intervals of 6 hours for temperature and 24 hours for temperature differences.
description: The data set has been processed as follows: obvious inconsistencies (missing values) and and unrealistic values have been removed.
DOI: 10.1594/pangaea.950097
title: Temperature measurements from SIMBA-type sea ice mass balance buoy ZS2013a

description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA ZS2013a is an autonomous instrument that was installed on landfast ice in Prydz Bay, East Antarctica, in May 2013. The buoy was deployed at 69.37°S; 76.36°E, ~100 m from the coast of Chinese Station Zhongshan with initial thicknesses of snow and ice of 0.02 and 0.69 m, respectively, on 15 May 2013. The thermistor chain was 4.5 m long and included 108 sensors with a regular spacing of 4cm. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 15 May and 27 November 2013 in sample intervals of 6 hours for temperature and 24 hours for temperature differences.
description: The data set has been processed as follows: obvious inconsistencies (missing values) and and unrealistic values have been removed.