cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.964224
title: Combined effect of ocean acidification and bottom trawling long-term exposure on larval survival of the scleractinian cold-water-coral Desmophyllum pertusum

description: We report the results of a series of experiments investigating the combined effects of ocean acidification and suspended natural benthic sediments (NS) generated during bottom trawling on the early life stages of the cold-water coral Desmophyllum pertusum (syn. Lophelia pertusa). The experiment was conducted at the Tjärnö Marine Laboratory Facilities (University of Gothenburg, Sweden). For each experiment, the larvae/embryos were exposed to four different treatments: (1) current pCO2 (control): mimicking present-day pCO2/pH condition (pCO2 400 µatm; ambient pHT: 8.01), (2) high pCO2: a scenario reflecting the IPCC RCP8.5 prediction (pCO2 1000 µatm; low pHT: 7.63), (3) current pCO2 + NS (5 mg/L), and (4) high pCO2 + NS (5 mg/L): with the introduction of natural benthic sediments (NS) at a concentration of 5 mg/mL. The NS were collected at ~130 m water depth from a regularly trawled soft bottom close to the reef site of Säcken in the Northern Koster-fjord in Sweden, and the grain sizes ≤ 63 μm were used for the experiment. Embryos and larvae were exposed to the different treatments in 75 mL culture flasks mounted on a rotating plankton wheel to keep sediments in suspension. The second experiment examined the effects on larval survival and swimming speed in two sub-experiments: A) short-term exposure (48 hours) and B) long-term exposure (1 week). This dataset presents the results for larval survival under long-term exposure.
description: Number of larvae or embryos used for the experiments: 30-35 larvae or embryos per replicate
DOI: 10.1594/pangaea.966472
title: Effect of temperature on embryonic development of the cold-water coral Lophelia pertusa

description: This data publication and the related three other datasets contains results from 4 separate experiments aiming to assess the effect of temperature on embryonic and larval development as well as larval swimming in Lophelia pertusa (syn. Desmophyllum pertusum). Parental colonies for subsequent spawning in the laboratory were collected 2019-2020 at the Tisler reef (Lat 58.99, Lon 10.97) 1-3 months before the spawning season for L. pertusa in the Skagerrak (February). Males and females were placed together in laboratory tanks at Tjärnö Marine Laboratory, University of Gothenburg and maintained in flow through of seawater with a salinity around 33 psu and a temperature of 8°C. Corals were fed 2-3 times a week with frozen zooplankton. During the spawning season corals were continuosly observed and when both sexes spawned simultaneously gamets were collected. Gametes were either directly treated with various temperatures or embryo and larvae were maintained at 8°C for a period of time before temperature treatment began. For all experiments, more than one spawn batch was used. For temperature treatments, lavae were moved to 2-3 replicate flasks and placed in thermo regulated cabinets and rooms. This particular dataset shows the proportion of embryos found in each developmental stage depending on time since spawning and temperature treatment.
DOI: 10.1594/pangaea.966473
title: Effect of temperature on embryonic ciliae development of the cold-water coral Lophelia pertusa

description: This data publication and the related three other datasets contains results from 4 separate experiments aiming to assess the effect of temperature on embryonic and larval development as well as larval swimming in Lophelia pertusa (syn. Desmophyllum pertusum). Parental colonies for subsequent spawning in the laboratory were collected 2019-2020 at the Tisler reef (Lat 58.99, Lon 10.97) 1-3 months before the spawning season for L. pertusa in the Skagerrak (February). Males and females were placed together in laboratory tanks at Tjärnö Marine Laboratory, University of Gothenburg and maintained in flow through of seawater with a salinity around 33 psu and a temperature of 8°C. Corals were fed 2-3 times a week with frozen zooplankton. During the spawning season corals were continuosly observed and when both sexes spawned simultaneously gamets were collected. Gametes were either directly treated with various temperatures or embryo and larvae were maintained at 8°C for a period of time before temperature treatment began. For all experiments, more than one spawn batch was used. For temperature treatments, larvae were moved to 2-3 replicate flasks and placed in thermo regulated cabinets and rooms. This particular dataset shows when the first embryo in any replicate flask in each temperature treatment developed any ciliae.
DOI: 10.1594/pangaea.966474
title: Effect of temperature on larval cnidocyte development of the cold-water coral Lophelia pertusa

description: This data publication and the related three other datasets contains results from 4 separate experiments aiming to assess the effect of temperature on embryonic and larval development as well as larval swimming in Lophelia pertusa (syn. Desmophyllum pertusum). Parental colonies for subsequent spawning in the laboratory were collected 2019-2020 at the Tisler reef (Lat 58.99, Lon 10.97) 1-3 months before the spawning season for L. pertusa in the Skagerrak (February). Males and females were placed together in laboratory tanks at Tjärnö Marine Laboratory, University of Gothenburg and maintained in flow through of seawater with a salinity around 33 psu and a temperature of 8°C. Corals were fed 2-3 times a week with frozen zooplankton. During the spawning season corals were continuosly observed and when both sexes spawned simultaneously gamets were collected. Gametes were either directly treated with various temperatures or embryo and larvae were maintained at 8°C for a period of time before temperature treatment began. For all experiments, more than one spawn batch was used. For temperature treatments, larvae were moved to 2-3 replicate flasks and placed in thermo regulated cabinets and rooms. In this particular dataset, the embryos were moved from 8°C to treatment temperature after 3-4 days (when embryo start swimming) and were then regularly checked to assess when the first larva in any replicate flask in each temperature treatment had developed any cnidocysts (sign of settlement competency).
DOI: 10.1594/pangaea.966489
title: Effect of temperature on larval upward swimming speed of the cold-water coral Lophelia pertusa

description: This data publication and the related three other datasets contains results from 4 separate experiments aiming to assess the effect of temperature on embryonic and larval development as well as larval swimming in Lophelia pertusa (syn. Desmophyllum pertusum). Parental colonies for subsequent spawning in the laboratory were collected 2019-2020 at the Tisler reef (Lat 58.99, Lon 10.97) 1-3 months before the spawning season for L. pertusa in the Skagerrak (February). Males and females were placed together in laboratory tanks at Tjärnö Marine Laboratory, University of Gothenburg and maintained in flow through of seawater with a salinity around 33 psu and a temperature of 8°C. Corals were fed 2-3 times a week with frozen zooplankton. During the spawning season corals were continuosly observed and when both sexes spawned simultaneously gamets were collected. Gametes were either directly treated with various temperatures or embryo and larvae were maintained at 8°C for a period of time before temperature treatment began. For all experiments, more than one spawn batch was used. For temperature treatments, larvae were moved to 2-3 replicate flasks and placed in thermo regulated cabinets and rooms. In this particular dataset, the effect of temperature on upwards directed swimming speed was assessed. During the trials in 2019, the larvae were moved directly from 8°C to the recording of swimming in treatment temperature, while in 2021 larvae were moved to the treatment temperature one day before swimming was recorded.
DOI: 10.1594/pangaea.782665
title: Porewater geochemistry of sediment core M66/2b_725/101
DOI: 10.1594/pangaea.783735
title: Particulate geochemistry of sediment core SO206-0006-1
DOI: 10.1594/pangaea.783736
title: Particulate geochemistry of sediment core SO206-0010-1
DOI: 10.1594/pangaea.783737
title: Particulate geochemistry of sediment core SO206-0012-1
DOI: 10.1594/pangaea.783738
title: Particulate geochemistry of sediment core SO206-0013-1
DOI: 10.1594/pangaea.783739
title: Particulate geochemistry of sediment core SO206-0014-1
DOI: 10.1594/pangaea.783740
title: Particulate geochemistry of sediment core SO206-0016-1
DOI: 10.1594/pangaea.783741
title: Particulate geochemistry of sediment core SO206-0019-1
DOI: 10.1594/pangaea.783743
title: Particulate geochemistry of sediment core SO206-0021-1
DOI: 10.1594/pangaea.783744
title: Particulate geochemistry of sediment core SO206-0022-1
DOI: 10.1594/pangaea.783746
title: Particulate geochemistry of sediment core SO206-0023-1
DOI: 10.1594/pangaea.783747
title: Particulate geochemistry of sediment core SO206-0026-1
DOI: 10.1594/pangaea.783748
title: Particulate geochemistry of sediment core SO206-0029-1
DOI: 10.1594/pangaea.783749
title: Particulate geochemistry of sediment core SO206-0031-1
DOI: 10.1594/pangaea.783750
title: Particulate geochemistry of sediment core SO206-0032-1
DOI: 10.1594/pangaea.783751
title: Particulate geochemistry of sediment core SO206-0038-1
DOI: 10.1594/pangaea.783752
title: Particulate geochemistry of sediment core SO206-0039-1
DOI: 10.1594/pangaea.783753
title: Particulate geochemistry of sediment core SO206-0040-1
DOI: 10.1594/pangaea.783754
title: Particulate geochemistry of sediment core SO206-0044-1
DOI: 10.1594/pangaea.783755
title: Particulate geochemistry of sediment core SO206-0046-1
DOI: 10.1594/pangaea.783756
title: Particulate geochemistry of sediment core SO206-0050-1
DOI: 10.1594/pangaea.783757
title: Particulate geochemistry of sediment core SO206-0051-1
DOI: 10.1594/pangaea.783758
title: Particulate geochemistry of sediment core SO206-0054-1
DOI: 10.1594/pangaea.784012
title: Geochemistry of sediment core M66/3a_114
DOI: 10.1594/pangaea.784013
title: Geochemistry of sediment core M66/3a_115
DOI: 10.1594/pangaea.784019
title: Geochemistry of sediment core M66/3a_125
DOI: 10.1594/pangaea.784020
title: Geochemistry of sediment core M66/3a_126
DOI: 10.1594/pangaea.784022
title: Geochemistry of sediment core M66/3a_132
DOI: 10.1594/pangaea.784025
title: Geochemistry of sediment core M66/3a_139
DOI: 10.1594/pangaea.784026
title: Geochemistry of sediment core M66/3a_140
DOI: 10.1594/pangaea.784029
title: Geochemistry of sediment core M66/3a_147
DOI: 10.1594/pangaea.784030
title: Geochemistry of sediment core M66/3a_151
DOI: 10.1594/pangaea.784032
title: Geochemistry of sediment core M66/3a_153
DOI: 10.1594/pangaea.784035
title: Geochemistry of sediment core M66/3a_162
DOI: 10.1594/pangaea.784036
title: Geochemistry of sediment core M66/3a_163
DOI: 10.1594/pangaea.784037
title: Geochemistry of sediment core M66/3a_164
DOI: 10.1594/pangaea.784040
title: Geochemistry of sediment core M66/3a_174
DOI: 10.1594/pangaea.784042
title: Geochemistry of sediment core M66/3a_178
DOI: 10.1594/pangaea.784043
title: Geochemistry of sediment core M66/3a_179
DOI: 10.1594/pangaea.784044
title: Geochemistry of sediment core M66/3a_180
DOI: 10.1594/pangaea.784046
title: Geochemistry of sediment core M66/3a_191
DOI: 10.1594/pangaea.784048
title: Geochemistry of sediment core M66/3a_199
DOI: 10.1594/pangaea.784049
title: Geochemistry of sediment core M66/3a_204
DOI: 10.1594/pangaea.784050
title: Geochemistry of sediment core M66/3a_205
DOI: 10.1594/pangaea.784051
title: Geochemistry of sediment core M66/3a_206
DOI: 10.1594/pangaea.784719
title: Geochemistry of sediment core M54/2_39-1
DOI: 10.1594/pangaea.784726
title: Geochemistry of sediment core M54/2_52
DOI: 10.6084/m9.figshare.25422067
title: Phenotypic data and polymorphic sites of <i>GPR35</i> and <i>NAV1</i> genes

description: The data set includes the phenotype data of Hu sheep and the genotyping data of <i>GPR35</i> and <i>NAV1</i> gene polymorphisms.
DOI: 10.6084/m9.figshare.25422067.v1
title: Phenotypic data and polymorphic sites of <i>GPR35</i> and <i>NAV1</i> genes

description: The data set includes the phenotype data of Hu sheep and the genotyping data of <i>GPR35</i> and <i>NAV1</i> gene polymorphisms.
DOI: 10.5281/zenodo.10816196
title: Simulation input scripts for figures in the article "Experimental parameters for plasma wakefield acceleration in a narrow plasma column"

description: Simulation input scripts for figures in the article "Experimental parameters for plasma wakefield acceleration in a narrow plasma column"

Alter line "my_constants.dx_dz= 10e-6" to chage the misalignment degree
DOI: 10.5281/zenodo.10816197
title: Simulation input scripts for figures in the article "Experimental parameters for plasma wakefield acceleration in a narrow plasma column"

description: Simulation input scripts for figures in the article "Experimental parameters for plasma wakefield acceleration in a narrow plasma column"

Alter line "my_constants.dx_dz= 10e-6" to chage the misalignment degree
DOI: 10.1594/pangaea.784939
title: Geochemistry of sediment core M54/3A_128
DOI: 10.1594/pangaea.784941
title: Geochemistry of sediment core M54/3A_131
DOI: 10.1594/pangaea.784943
title: Geochemistry of sediment core M54/3A_136-2
DOI: 10.1594/pangaea.784956
title: Geochemistry of sediment core M54/3A_168
DOI: 10.1594/pangaea.784962
title: Geochemistry of sediment core M54/3A_174BC4
DOI: 10.1594/pangaea.784967
title: Geochemistry of sediment core M54/3A_185BC4
DOI: 10.1594/pangaea.808440
title: Trace metal concentration of water samples during METEOR cruise M80/2

description: Subsurface seawater samples were collected with 8L Teflon coated GO-FLO samplers that were deployed on the metal free cable of the Meteor. Sample treatment at sea: Filtered (denoted with D) and Unfiltered (denoted UF) samples were obtained using the GO-FLOs. Filtered Samples were passed through 0.2 um polycarbonate filters in a class 5 clean container.
DOI: 10.1594/pangaea.964858
title: 40Ar-39Ar data table of single-/multi-crystal laser total fusion biotite and K-feldspar from Senghor Seamount, Cabo Verde (Meteor cruise M79/3, sample 950-2)

description: During the Meteor 79/3 expedition on the Cabo Verde Archipelago/NE Atlantic region, rock samples were obtained using a dredge haul. 40Ar-39Ar laser total fusion geochronological analyses have been performed on K-feldspar and biotite single-/multi-crystal separates from one sample (950-2). The 40Ar-39Ar analyses were determined using a MAP216 mass spectrometer at GEOMAR, a MAP argon extraction line and a 25 W Coherent Sabre 25TSM argon ion laser, from 30th August 2017 until 2nd September 2017. The Taylor Creek sanidine (TCS2) flux standard was used with an age of 27.344 +/- 0.011 Ma (1 sigma error; Fleck et al. 2019).
DOI: 10.1594/pangaea.964903
title: Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2017S54, deployed during Antarctic Fast Ice Network 2017 (AFIN 2017)

description: Snow height was measured by the Snow Buoy 2017S54, an autonomous platform, installed close to Neumayer III Base, Antarctic during Antarctic Fast Ice Network 2017 (AFIN 2017). The resulting time series describes the evolution of snow height as a function of place and time between 11 Aug 2017 and 14 Mar 2023 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 the ice shelf. In addition to snow height, 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.964913
title: Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2020S55, deployed during Antarctic Fast Ice Network 2020 (AFIN 2020)

description: Snow height was measured by the Snow Buoy 2020S55, an autonomous platform, installed in the Atka Bay, Antarctic during Antarctic Fast Ice Network 2020 (AFIN 2020). The resulting time series describes the evolution of snow height as a function of place and time between 30 Jul 2020 and 16 Jul 2021 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 height, 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.964915
title: Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2021S89, deployed during Antarctic Fast Ice Network 2021 (AFIN 2021)

description: Snow height was measured by the Snow Buoy 2021S89, an autonomous platform, installed in the Atka Bay, Antarctic during Antarctic Fast Ice Network 2021 (AFIN 2021). The resulting time series describes the evolution of snow height as a function of place and time between 07 Jul 2021 and 20 Jan 2022 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 height, 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.964916
title: Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2022S110, deployed during Antarctic Fast Ice Network 2022 (AFIN 2022)

description: Snow height was measured by the Snow Buoy 2022S110, an autonomous platform, installed in the Atka Bay, Antarctic during Antarctic Fast Ice Network 2022 (AFIN 2022). The resulting time series describes the evolution of snow height as a function of place and time between 29 Jun 2022 and 29 Jan 2023 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 height, 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).