cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.973292
title: Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2023S111, deployed during Antarctic Fast Ice Network 2023 (AFIN 2023)

description: Snow height was measured by the Snow Buoy 2023S111, an autonomous platform, installed in the Atka Bay, Antarctic during Antarctic Fast Ice Network 2023 (AFIN 2023). The resulting time series describes the evolution of snow height as a function of place and time between 01 Jun 2023 and 15 Jan 2024 in sample intervals of 1 hour. The Snow Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on fast ice. In addition to snow depth, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, position: The geographic position is flagged +1 if the drift velocity, as derived from the GPS longitude and latitude, exceeds a threshold of 10 deg latitude or 50 deg longitude per time step; +2 if the position exceeds extreme values, such as longitude &gt; 360 deg; +4 if the position is exactly 0.0. Quality flag, snow: The snow height is flagged for each sensor +1 for manual corrections during processing (e.g. sensor issues); +2 if the snow accumulation exceeds 0.1 m per hour; +4 if the difference in snow height is larger than 0.03 m compared to values within the last and next 2 hours; +32 if the value exceeds the height of sensor on the platform at 1.5 m. Quality flag, temperature: The air temperature is flagged +1 for manual corrections during processing (e.g. sensor issues); + 32 if the value is below – 50 °C. Quality flag, pressure: The barometric pressure is flagged +1 for manual corrections during processing (e.g. sensor issues).
DOI: 10.1594/pangaea.847921
title: Carbon and nitrogen concentrations from sediment core USGS_1-Portland
DOI: 10.1594/pangaea.973321
title: Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2014T5

description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environmental temperature SIMBA-ET and a temperature change around the thermistors after a weak heating is applied to each sensor (SIMBA-HT). SIMBA 2014T5 (a.k.a. Awi_32) is an autonomous instrument that was installed on the ice shelf close to Neumayer III Base, Antarctic (Neumayer AFIN in 2014) as part of the project Antarctic Fast Ice Network (AFIN) Sea Ice Physics @ AWI (AWI_SeaIce). Its thermistor chain is 5 m long, and equipped with 240 thermistors (Maxim Integrated DS28EA00) at a spacing of 2 cm. Based on a manual classification method, the SIMBA-ET and SIMBA-HT were processed to obtain snow depth and ice thickness (smoothed with a 3-day running mean), as well as the thermistor number, the vertical position Z relative to the snow-ice interface and the measured SIMBA-ET at each detected interface (atmosphere-snow, snow-ice and ice-ocean) for the period between 2014-12-23T02:00:39 and 2015-06-07T20:00:34. To do this, we combined two derivatives of measured temperatures (the ET vertical gradient and HT rise ratio) to reduce the detection uncertainty of all interfaces considered. The snow or ice surface, consequentially the snow depth, is determined by the ET vertical gradient. Potential formation of snow ice is not explicitly considered in this data set, but may occur as depicted by vertical changes of the snow-ice interface position. The ice-ocean interface is usually determined using the HT rise ratio and serves as the lower limit for ice thickness. Overall, the accumulated error is 2 to 4 times the sensor spacing for both the snow depth and ice thickness. For interface temperatures, individual sensors in the chain measure with a temperature resolution of 0.0625°C, with the overall accuracy landing in the range of ± 2°C (Jackson et al., 2013). After the snow cover has melted, negative values for snow depth may indicate the onset of ice surface melt.
DOI: 10.1594/pangaea.973325
title: Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2012T4

description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environmental temperature SIMBA-ET and a temperature change around the thermistors after a weak heating is applied to each sensor (SIMBA-HT). SIMBA 2012T4 (a.k.a. Awi_31) is an autonomous instrument that was installed on landfast sea ice in the Antarctic Atka Bay (Neumayer AFIN in 2012) as part of the project Antarctic Fast Ice Network (AFIN) Sea Ice Physics @ AWI (AWI_SeaIce). Its thermistor chain is 5 m long, and equipped with 240 thermistors (Maxim Integrated DS28EA00) at a spacing of 2 cm. Based on a manual classification method, the SIMBA-ET and SIMBA-HT were processed to obtain snow depth and ice thickness (smoothed with a 3-day running mean), as well as the thermistor number, the vertical position Z relative to the snow-ice interface and the measured SIMBA-ET at each detected interface (atmosphere-snow, snow-ice and ice-ocean) for the period between 2012-11-23T04:00:39 and 2014-02-08T21:00:39. To do this, we combined two derivatives of measured temperatures (the ET vertical gradient and HT rise ratio) to reduce the detection uncertainty of all interfaces considered. The snow or ice surface, consequentially the snow depth, is determined by the ET vertical gradient. Potential formation of snow ice is not explicitly considered in this data set, but may occur as depicted by vertical changes of the snow-ice interface position. The ice-ocean interface is usually determined using the HT rise ratio and serves as the lower limit for ice thickness. Overall, the accumulated error is 2 to 4 times the sensor spacing for both the snow depth and ice thickness. For interface temperatures, individual sensors in the chain measure with a temperature resolution of 0.0625°C, with the overall accuracy landing in the range of ± 2°C (Jackson et al., 2013). After the snow cover has melted, negative values for snow depth may indicate the onset of ice surface melt.
DOI: 10.1594/pangaea.973352
title: Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2022T88

description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environmental temperature SIMBA-ET and a temperature change around the thermistors after a weak heating is applied to each sensor (SIMBA-HT). SIMBA 2022T88 (a.k.a. AWI_0905) is an autonomous instrument that was installed on landfast sea ice in the Antarctic Atka Bay (Neumayer AFIN in 2022) as part of the project Antarctic Fast Ice Network (AFIN), Sea Ice Physics @ AWI (AWI_SeaIce). Its thermistor chain is 4.8 m long, and equipped with 241 thermistors (Maxim Integrated DS28EA00) at a spacing of 2 cm. Based on a manual classification method, the SIMBA-ET and SIMBA-HT were processed to obtain snow depth and ice thickness (smoothed with a 3-day running mean), as well as the thermistor number, the vertical position Z relative to the snow-ice interface and the measured SIMBA-ET at each detected interface (atmosphere-snow, snow-ice and ice-ocean) for the period between 2022-06-29T14:36:34 and 2023-01-01T08:00:18. To do this, we combined two derivatives of measured temperatures (the ET vertical gradient and HT rise ratio) to reduce the detection uncertainty of all interfaces considered. The snow or ice surface, consequentially the snow depth, is determined by the ET vertical gradient. Potential formation of snow ice is not explicitly considered in this data set, but may occur as depicted by vertical changes of the snow-ice interface position. The ice-ocean interface is usually determined using the HT rise ratio and serves as the lower limit for ice thickness. Overall, the accumulated error is 2 to 4 times the sensor spacing for both the snow depth and ice thickness. For interface temperatures, individual sensors in the chain measure with a temperature resolution of 0.0625°C, with the overall accuracy landing in the range of ± 2°C (Jackson et al., 2013). After the snow cover has melted, negative values for snow depth may indicate the onset of ice surface melt.
DOI: 10.1594/pangaea.973341
title: Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T89

description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environmental temperature SIMBA-ET and a temperature change around the thermistors after a weak heating is applied to each sensor (SIMBA-HT). SIMBA 2023T89 (a.k.a. AWI_0906) is an autonomous instrument that was installed on landfast sea ice in the Antarctic Atka Bay (Neumayer AFIN 2023) as part of the project Sea Ice Physics @ AWI (AWI_SeaIce). Its thermistor chain is 9 m long, and equipped with 243 thermistors (Maxim Integrated DS28EA00) at a spacing of 2 cm (first 192 sensors) and 10cm (following 50 sensors). Based on a manual classification method, the SIMBA-ET and SIMBA-HT were processed to obtain snow depth and ice thickness (smoothed with a 3-day running mean), as well as the thermistor number, the vertical position Z relative to the snow-ice interface and the measured SIMBA-ET at each detected interface (atmosphere-snow, snow-ice and ice-ocean) for the period between 2023-06-02T23:00:18 and 2023-12-25T11:00:18. To do this, we combined two derivatives of measured temperatures (the ET vertical gradient and HT rise ratio) to reduce the detection uncertainty of all interfaces considered. The snow or ice surface, consequentially the snow depth, is determined by the ET vertical gradient. Potential formation of snow ice is not explicitly considered in this data set, but may occur as depicted by vertical changes of the snow-ice interface position. The ice-ocean interface is usually determined using the HT rise ratio and serves as the lower limit for ice thickness. Overall, the accumulated error is 2 to 4 times the sensor spacing for both the snow depth and ice thickness. For interface temperatures, individual sensors in the chain measure with a temperature resolution of 0.0625°C, with the overall accuracy landing in the range of ± 2°C (Jackson et al., 2013). After the snow cover has melted, negative values for snow depth may indicate the onset of ice surface melt.
DOI: 10.1594/pangaea.973351
title: Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2021T87

description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environmental temperature SIMBA-ET and a temperature change around the thermistors after a weak heating is applied to each sensor (SIMBA-HT). SIMBA 2021T87 (a.k.a. AWI_0908) is an autonomous instrument that was installed on landfast sea ice in the Antarctic Atka Bay (Neumayer AFIN in 2021) as part of the project Sea Ice Physics @ AWI (AWI_SeaIce). Its thermistor chain is 5 m long, and equipped with 241 thermistors (Maxim Integrated DS28EA00) at a spacing of 2 cm. Based on a manual classification method, the SIMBA-ET and SIMBA-HT were processed to obtain snow depth and ice thickness (smoothed with a 3-day running mean), as well as the thermistor number, the vertical position Z relative to the snow-ice interface and the measured SIMBA-ET at each detected interface (atmosphere-snow, snow-ice and ice-ocean) for the period between 2021-07-13T13:00:18 and 2022-01-17T19:00:18. To do this, we combined two derivatives of measured temperatures (the ET vertical gradient and HT rise ratio) to reduce the detection uncertainty of all interfaces considered. The snow or ice surface, consequentially the snow depth, is determined by the ET vertical gradient. Potential formation of snow ice is not explicitly considered in this data set, but may occur as depicted by vertical changes of the snow-ice interface position. The ice-ocean interface is usually determined using the HT rise ratio and serves as the lower limit for ice thickness. Overall, the accumulated error is 2 to 4 times the sensor spacing for both the snow depth and ice thickness. For interface temperatures, individual sensors in the chain measure with a temperature resolution of 0.0625°C, with the overall accuracy landing in the range of ± 2°C (Jackson et al., 2013). After the snow cover has melted, negative values for snow depth may indicate the onset of ice surface melt.
DOI: 10.1594/pangaea.973328
title: Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2012T1

description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environmental temperature SIMBA-ET and a temperature change around the thermistors after a weak heating is applied to each sensor (SIMBA-HT). SIMBA 2012T1 (a.k.a. Awi_01) is an autonomous instrument that was installed on landfast sea ice in the Antarctic Atka Bay (Neumayer AFIN in 2012) as part of the project Sea Ice Physics @ AWI (AWI_SeaIce), Antarctic Fast Ice Network (AFIN). Its thermistor chain is 2.4 m long, and equipped with 120 thermistors (Maxim Integrated DS28EA00) at a spacing of 2 cm. Based on a manual classification method, the SIMBA-ET and SIMBA-HT were processed to obtain snow depth and ice thickness (smoothed with a 3-day running mean), as well as the thermistor number, the vertical position Z relative to the snow-ice interface and the measured SIMBA-ET at each detected interface (atmosphere-snow, snow-ice and ice-ocean) for the period between 2012-08-17T16:30:34 and 2013-02-05T14:57:03. To do this, we combined two derivatives of measured temperatures (the ET vertical gradient and HT rise ratio) to reduce the detection uncertainty of all interfaces considered. The snow or ice surface, consequentially the snow depth, is determined by the ET vertical gradient. Potential formation of snow ice is not explicitly considered in this data set, but may occur as depicted by vertical changes of the snow-ice interface position. The ice-ocean interface is usually determined using the HT rise ratio and serves as the lower limit for ice thickness. Overall, the accumulated error is 2 to 4 times the sensor spacing for both the snow depth and ice thickness. For interface temperatures, individual sensors in the chain measure with a temperature resolution of 0.0625°C, with the overall accuracy landing in the range of ± 2°C (Jackson et al., 2013). After the snow cover has melted, negative values for snow depth may indicate the onset of ice surface melt.
DOI: 10.1594/pangaea.972991
title: Sequential iron extraction, pore water and solid phase analyses for sediment cores from cruises M157 and MSM105

description: Fe2+ was analysed photometrically (Hach Lange DR 5000 photometer) at 565 nm following the method of Collins et al. (1959). 1 mL of acidified sample (20 L of 1% ascorbic acid) was added to 50 μL of a ferrospectral reagent (Merck Chemicals) in disposable polystyrene cuvettes (Stookey, 1970). Samples with high Fe2+ concentrations were diluted with oxygen-free artificial seawater. Total dissolved hydrogen sulfide (H2S) was measured photometrically using the methylene blue method in samples that were fixed on board with ZnAc (Cline, 1969). Dissolved silicon (Si4+) was determined in samples acidified by suprapure concentrated HNO3 (10 μl per ml of sample) by inductively coupled plasma optical emission spectroscopy (ICP-OES; axial plasma observation; Agilent 720) with a precision of at least 2%. Total organic carbon (TOC) was determined by using an element analyzer (Euro EA, HEKAtech). Total iron (Fe), potassium (K) and aluminium (Al) concentrations in the solid phase were determined by ICP-OES following digestion in nitric acid, hydrofluoric acid and perchloric acid. A combination of the multi-step sequential Fe extraction methods by Poulton and Canfield (2005) and Huerta-Diaz and Morse (1990) was applied to determine sedimentary Fe speciation including pyrite.
DOI: 10.1594/pangaea.870540
title: Total nitrogen, total carbon, nitrite, nitrate, and ammonium from pore water of deep sea sediments in the Eastern Indian Ocean
DOI: 10.1594/pangaea.859119
title: Halocarbons in coastal Baltic Sea - mesocosm experiment (2011)
DOI: 10.1594/pangaea.964111
title: Seawater carbonate chemistry and microbial dynamics in shallow CO2 seeps system off Panarea Island (Italy)

description: Sampling was carried out between 28th and 31st July 2011 in the Panarea Island area along a 9-station transect. One extra station located north of the vent field was sampled as a reference (i.e., no ventinfluenced). At each station, temperature, salinity, oxygen, and pH vertical profiles were registered using a CTD SBE9 Seabird. Seawater was collected with 10 L Niskin bottles for determining pH, the concentrations of chlorophyll a, macronutrients, dissolved inorganic carbon, particulate organic carbon, and nitrogen concentrations, as well as prokaryotic abundance, the rates of heterotrophic carbon production and extracellular enzymatic activities, and to depict the prokaryotic community structure by 16S rRNA gene amplicon sequencing (at seven stations).
description: In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2022) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2023-12-13.Abundance of prokaryotes (heterotrophs and phototrophs), nanoplankton (heterotrophs and phototrophs), microphytoplanktonic and microzooplanktonic abundance divided into major taxonomic groups. Detailed floristic and faunistic lists on request. Measure of degradation processes by exoenzymatic prokaryotic activities (beta-glucosidase, phosphatase and lipase).
DOI: 10.15468/dl.8xtv4s
title: Occurrence Download

description: A dataset containing 421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scincella silvicola (Taylor, 1937)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 421 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069306-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.802211
title: Interannual comparison of deep partical fluxes in the northeast Atlantic
DOI: 10.1594/pangaea.724309
title: (Table B b) Flux of planktic foraminiferal species in sediment trap series L1/K276-22 at 3000 m water depth
DOI: 10.1594/pangaea.724310
title: (Table C b) Flux of planktic foraminiferal species in sediment trap series L1/K276-23 at 3000 m water depth
DOI: 10.1594/pangaea.893192
title: Total sulfur, total carbon, carbon stable isotopes, carbon and nitrogen content of decarbonised sediments and C/N ratio from sediment core Co1305

description: Elemental analyses of total sulphur (S) and total carbon (C) were conducted with a Vario Micro Cube combustion elemental analyser (Elementar, Germany) was quantified on parallel samples with a DIMATOC 200 (DIMATEC Corp.).Stable isotope analysis δ13C ratios and the C/N concentrations were determined on freeze-dried sediment samples decarbonized 5% HCl. δ13C analyses were performed by combustion in a Costech ECS4010 Elemental Analyser (EA) on-line coupled to a VG TripleTrap (plus secondary cryogenic trap) and Optima dual-inlet mass spectrometer. δ13C values were calculated to the VPDB scale using a within-run laboratory standard (BROC2) calibrated against NBS 19 and NBS 22. Replicate analysis indicated precision of &lt;0.1‰ (1 SD).
DOI: 10.1594/pangaea.802282
title: Deep ocean particle flux (&gt; 1000m) and composition of particles collected by sediment traps at various sites in the northeast Atlantic (open ocean only) compiled from different sources
DOI: 10.1594/pangaea.807824
title: (Table 1) Geochemistry, accumulation rates and sea surface temperature estimation of ODP Site 138-846

description: We analyzed the unsaturation ratio (Uk37) of long-chain ketones - a molecular sea-surface temperature (SST) indicator û concentrations of carbonate and organic carbon in sediments from Site 846 in the eastern equatorial Pacific Ocean. Based on an isotopic age model for the composite depth section of 0-46 m below seafloor and on estimates of sediment density, accumulation rates of these biogenic compounds were calculated. Our combined temperature and biogenic flux record traces conditions at the origin of the South Equatorial Current over the last 1.3 m.y.SSTs have fluctuated considerably over the interval studied. A long trend of gradual decrease from 24°C at 1.3 Ma ends between 500 and 400 Ka, when lowest values of 19°C were reached. Since this time, the temperature data indicate a warming trend to the Holocene modulated by high-amplitude variation (19° to 27°C). The inversion of the trend between 400 and 500 Ka coincides with maximal accumulation rates of carbonate, which since then have decreased. In contrast, organic carbon accumulation since then has increased in variability and in absolute values.On shorter time scales, the records show a strong link to the global climatic background. Since 1.3 Ma, carbonate (0.2-3 g/cm**2/k.y.) and organic carbon accumulation rates (2-30 mg/cm**2/k.y.) were consistently high (more than twice their modern values and those of interglacials) during glacial maxima in the benthic isotope record, when temperatures were low.However, cross-spectral analyses with the d18O record suggest that variation in organic carbon flux is not linked directly to variations in SST. Temperature maxima in our record led interglacial events by 7 k.y. in the 100-k.y. eccentricity cycle and by 5 k.y. in the 41-k.y. obliquity cycle. In contrast, maxima in organic carbon accumulation lag behind glacial maxima and low temperatures by 14 k.y. in the eccentricity cycle. On glacial/interglacial time scales, a prominent influence on SST - but not on organic carbon burial - at Site 846 appears to be the advection of cold water into the South Equatorial Current.
description: DEPTH, sediment is given in mbsf, ages after Mix et al. (1995, doi:10.2973/odp.proc.sr.138.160.1995)
description: Supplement to: Emeis, Kay-Christian; Doose, Heidi; Mix, Alan C; Schulz-Bull, Detlef E (1995): Alkenone sea-surface temperatures and carbon burial at Site 846 (eastern equatorial Pacific Ocean): the last 1.3 m.y. In: Pisias, NG; Mayer, LA; Janecek, TR; Palmer-Julson, A; van Andel, TH (eds.), Proceedings of the Ocean Drilling Program, Scientific Results, College Station, TX (Ocean Drilling Program), 138, 605-613