cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.938565
title: Particle size distribution during one tidal cycle at station W05 (2019-11)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.938566
title: Particle size distribution during one tidal cycle at station W05 (2019-14)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.938568
title: Particle size distribution during one tidal cycle at station W05 (2019-22)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.938569
title: Particle size distribution during one tidal cycle at station W05 (2019-25)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.938571
title: Particle size distribution during one tidal cycle at station W05 (2019-29)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.938572
title: Particle size distribution during one tidal cycle at station W05 (2019-32)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.938578
title: Particle size distribution during one tidal cycle at station W08 (2019-01)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.938580
title: Particle size distribution during one tidal cycle at station W08 (2019-03)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.938582
title: Particle size distribution during one tidal cycle at station W08 (2019-14)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.938583
title: Particle size distribution during one tidal cycle at station W08 (2019-20)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.938584
title: Particle size distribution during one tidal cycle at station W08 (2019-22)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.938585
title: Particle size distribution during one tidal cycle at station W08 (2019-25)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.938586
title: Particle size distribution during one tidal cycle at station W08 (2019-32)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.938656
title: Particle size distribution during one tidal cycle at station MOW1 (2019-03)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.938661
title: Particle size distribution during one tidal cycle at station MOW1 (2019-11)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.938662
title: Particle size distribution during one tidal cycle at station MOW1 (2019-14)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.938663
title: Particle size distribution during one tidal cycle at station MOW1 (2019-20)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.938665
title: Particle size distribution during one tidal cycle at station MOW1 (2019-22)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.938667
title: Particle size distribution during one tidal cycle at station MOW1 (2019-25)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.938668
title: Particle size distribution during one tidal cycle at station MOW1 (2019-29)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.15468/dl.hv83zh
title: Occurrence Download

description: A dataset containing 5123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myrmophylax atrothorax",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5123 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008372-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.938669
title: Particle size distribution during one tidal cycle at station MOW1 (2019-32)

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.938673
title: All data derived from water samples in 12 stations in the Belgian part of the North Sea

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.940184
title: Quantitative XRF data of sediment core GeoB18303-2

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.940185
title: Grain size analysis of sediment core GeoB18303-2

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.940191
title: Grain size analysis of sediment core GeoB18304-1

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.940194
title: Quantitative XRF data of sediment core GeoB18304-1

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.944941
title: Anhysteretic Remanent Magnetization (ARM) of PLG core

description: The acquisition of the Anhysteretic Remanent Magnetization (ARM) dataset was carried out by the following protocol: remanence measurements were all made in a SQUID magnetometer model 755 (2G-Enterprises), housed in a magnetically shielded room with internal field &lt;500 Nanotesla [nT] at USPMag. Samples underwent a stepwise alternating field (AF) demagnetization over 17 steps: 0–4 Millitesla [mT] (step = 2 Millitesla [mT]), 4–10 Millitesla [mT] (step = 3 Millitesla [mT]), 10–40 Millitesla [mT] (step = 5 Millitesla [mT]), 40–100 Millitesla [mT] (step = 10 Millitesla [mT]). After AF demagnetization, the sample was submitted to a stepwise ARM acquisition along the same AF demagnetization steps until 100 mT with a direct current bias field of 0.05 mT.This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.944945
title: Stable carbon isotopes of PLG core

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.944953
title: Stable oxygen isotopes of PLG core

description: This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.944959
title: Magnetic and stable isotope data from PLG Core

description: MFK1-FA Multi-Function Kappabridge at an operating frequency of 976 Hertz [Hz], in a field of 200 Ampere per meter [A/m].This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
DOI: 10.1594/pangaea.969263
title: Methane and Dimethylsulfoniopropionate (DMSP) concentration in the South China Sea

description: The South China Sea (SCS) frequently encounters mesoscale eddies due to the influence of the Kuroshio intrusion and monsoonal patterns. However, the impact of these eddies on methane (CH⁴) biogeochemical cycling in the SCS remains poorly understood. Dissolved methane and dimethylsulfoniopropionate (DMSP) samples were collected from the eddy pair (cyclonic-anticyclonic eddy pair) at stations ME1−ME7, located near the western side of Hainan Island, on September 27, 2020. Additionally, methane concentration and oxidation rates were assessed within anticyclonic eddy stations between September 13 and 23, 2022. The distribution of SLA were obtained from the Copernicus Marine Environment Monitoring Service at 0.25° resolution. Seawater samples collected by 12 L Niskin bottles equipped with SBE 911 plus a conductivity-temperature-depth (CTD) probe. The CH⁴ sample was collected in 120 ml brown bottles and then 50 μl saturated HgCl₂ was added to inhibit biological activity. Samples were sealed with aluminum caps containing Teflon septa and temporarily stored in the dark at 4°C. Dissolved methane was measured using a cryogenic purge-and-trap setup connected to an gas chromatograph (GC-8890, Agilent, USA) with a flame ionization detector (FID) according to the detailed methods given in (Zhang et al. (2004, doi:10.1029/2004JC002268). For total dimethylsulfoniopropionate (DMSPt), 5 ml seawater were preserved with the addition of 5 μl of 50% sulfuric acid to oxidize dimethylsulfide (DMS) into nonvolatile compounds and inhibit biological activity. Seawater samples intended for dissolved DMSP (DMSPd) determination were pre-filtered by gravity using a 0.45 μm filter. Particulate DMSP (DMSPp) was derived by subtracting DMSPd from DMSPt. All DMSP samples were stored in darkness at 4℃ until analysis. Briefly, a 2 ml sample was mixed with 200 μl of 10 mol/potassium hydroxide (KOH) and incubated at room temperature for 6 h to ensure complete conversion of DMSP into DMS. Seawater DMS samples were analyzed immediately after collection using a modified purge-and-trap method on a gas chromatograph (GC-2014, Shimadzu, Japan) equipped with a flame photometric detector (FPD) (Yang et al., 2012, doi:10.1016/j.marchem.2012.05.003).
DOI: 10.1594/pangaea.969267
title: Methane oxidation rate and constant k in the South China Sea

description: The South China Sea (SCS) frequently encounters mesoscale eddies due to the influence of the Kuroshio intrusion and monsoonal patterns. However, the impact of these eddies on methane (CH4) biogeochemical cycling in the SCS remains poorly understood. Dissolved methane and dimethylsulfoniopropionate (DMSP) samples were collected from the eddy pair (cyclonic-anticyclonic eddy pair) at stations ME1−ME7, located near the western side of Hainan Island, on September 27, 2020. Additionally, methane concentration and oxidation rates were assessed within anticyclonic eddy stations between September 13 and 23, 2022. The distribution of SLA were obtained from the Copernicus Marine Environment Monitoring Service at 0.25° resolution. Seawater samples collected by 12 L Niskin bottles equipped with SBE 911 plus a conductivity-temperature-depth (CTD) probe. The CH4 sample was collected in 120 mL brown bottles and then 50 μL saturated HgCl2 was added to inhibit biological activity. Samples were sealed with aluminum caps containing Teflon septa and temporarily stored in the dark at 4°C.Dissolved methane was measured using a cryogenic purge-and-trap setup connected to an gas chromatograph (GC-8890, Agilent, USA) with a flame ionization detector (FID) according to the detailed methods given in (Zhang et al., 2004, doi:10.1029/2004JC002268). The 3H radiotracer approach was used to measure the aerobic MOx rate (Bussmann et al. (2015, doi:10.5194/bg-14-4985-2017); Mao et al. (2022, doi:10.1038/s41467-022-35082-y); Liu et al. (2024, doi:10.1029/2023JC020280). Seawater samples (triplicate samples and one killed control) were filled into 20 ml Hungute tubes with butyl rubber stoppers without headspace. 50 μl ³H-CH⁴ gas was injected using airtight needles into each sample by displacing the same volume of seawater. Controls were killed with a final concentration of 3.7% formaldehyde prior to tracer additions. All samples were incubated in the dark at in situ sampled temperature for 48 hours. The concentration of CH⁴ added to the samples was less than ~2 nM. Once the incubation was finished, ~100 μl subsample was collected in 2 ml glass vials filled with scintillation liquid, which was used to measure total radioactivity (DPM-³H-H²O and DPM-³H-CH⁴) using a scintillation counter (Tri-Carb 3110TR, USA). The remaining sample was transferred to a 50 ml falcon tube containing 2 ml 37% formaldehyde and purged with N² for 45 min to remove the unused ³H-CH⁴. Then 2 ml samples added 5 ml scintillation liquid was quantified for the measurement of DPM-³H²O.
DOI: 10.1594/pangaea.984688
title: Air- and soil temperature data from PhytOakmeter plot FBOL_14 (Toulenne, France) from 2018

description: Soil temperature at 15cm depth and air temperature at 60cm height were collected using HOBO Pro V2 loggers, model U23-004. Three loggers were used. After data visualization, unrealistic values were removed manually for each logger and mean temperature values were calculated at 30-minute intervals.
DOI: 10.1594/pangaea.984691
title: Soil- moisture and temperature from the PhytOakmeter plot FBOL_14 (Toulenne, France) from 2019

description: As part of PhytOakmeter (www.phytoakmeter.de), time-domain transmission, soil moisture and -temperature sensors with custom-made logger systems were used to measure time series of soil state variables. The aim of these investigations was to provide data on environmental properties used in a cross-disciplinary approach.The measurement device consisted of two sensors at three different depths. The dataset contains the values of time (UTC), relative permittivity, soil moisture (in % vol) derived from permittivity and soil temperature (in °C). Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensors with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the dataset and parameter comment.
description: Depths of sensors: 1+2 = 15cm / 3+4 = 30cm / 5+6 = 45cm
DOI: 10.1594/pangaea.984777
title: Soil physicochemical properties of the PhytOakmeter plot FBOL_14 (Toulenne, France) in 2016, 2018 and 2022

description: As part of PhytOakmeter platform (www.phytoakmeter.de), soil chemical parameters were determined in 2016, 2018 and 2022. Soil pH was measured using a glass electrode in a 1:2.5 soil-to-0.01 M CaCl2 suspension after one hour of equilibration. Gravimetric soil moisture was assessed with a fully automated moisture analyzer (DBS60-3, KERN & SOHN GmbH, Balingen, Germany), here defined as soil moisture (MOI). Total nitrogen (TN) and total carbon (TC) contents in the soil were analyzed in triplicate through dry combustion using a Vario elemental analyzer (EL III, Elementar, Hanau, Germany), and the carbon-to-nitrogen ratio (TC/TN) was subsequently calculated from these values. To evaluate the potentially bioavailable soil organic carbon and nitrogen for microbial activity, hot water-extractable carbon and nitrogen (HWC and HWN, respectively) were determined following the methods of Ghani et al. (2003) and Schulz et al. (2011). Additionally, the labile organic carbon and nitrogen easily decomposable by soil microorganisms were measured as cold water-extractable carbon (CWC) and nitrogen (CWN) based on procedures described by Zsolnay (1996), Zakharova et al. (2015), and Schmidt et al. (2017). Ammonium and nitrate (NH4±N and NO3—N, respectively) were quantified, with their sum representing the total mineral nitrogen content (Nmin).
DOI: 10.1594/pangaea.984778
title: Soil texture and porosity of the PhytOakmeter plot FBOL_14 (Toulenne, France) in 2022

description: As part of PhytOakmeter platform (www.phytoakmeter.de), soil porosity and soil texture were measured in 2022. Soil cores were taken at three depths (15cm, 30cm and 45cm) with six replicates at each depth. The dataset contains the values of soil density (g/cm3), soil porosity (cm3/ cm3), soil organic content (%), coarse silt (%), medium silt (%), fine silt (%), clay (%), coarse sand (%), medium sand (%), fine sand (%), total mineral content (%) and soil texture. Soil texture was classified according to Bodenkundliche Kartieranleitung (KA5, 2005; ISBN 978-3-510-95920-4) and grain size analysis with the KÖHN analysis according to DIN ISO 11277.
DOI: 10.1594/pangaea.986907
title: Soil- moisture and temperature from the PhytOakmeter plot FBOL_14 (Toulenne, France) from 2022

description: As part of PhytOakmeter (www.phytoakmeter.de), time-domain transmission, soil moisture and -temperature sensors with custom-made logger systems were used to measure time series of soil state variables. The aim of these investigations was to provide data on environmental properties used in a cross-disciplinary approach.The measurement device consisted of two sensors at three different depths. The dataset contains the values of time (UTC), relative permittivity, soil moisture (in % vol) derived from permittivity and soil temperature (in °C). Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensors with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the dataset and parameter comment.
description: Depths of sensors: 1+2 = 15cm / 3+4 = 30cm / 5+6 = 45cm