cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.d2zbha
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bursera hintonii",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 187 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029811-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.903311
title: Weather station (Meteo Buoy WeatherStation Instrument 150WX) measurements collected at the OBSEA underwater observatory buoy during December, 2018
DOI: 10.1594/pangaea.908989
title: Current measurements (Nortec AWAC 1 Mhz ADCP) collected at the OBSEA underwater observatory during March, 2016
DOI: 10.1594/pangaea.903137
title: Weather station (Meteo Sarti Vantage Pro2) measurements collected at the OBSEA shore station (UPC) during March, 2011
DOI: 10.1594/pangaea.903148
title: Weather station (Meteo Sarti Vantage Pro2) measurements collected at the OBSEA shore station (UPC) during October, 2011
DOI: 10.1594/pangaea.903140
title: Weather station (Meteo Sarti Vantage Pro2) measurements collected at the OBSEA shore station (UPC) during June, 2011
DOI: 10.1594/pangaea.902742
title: CTD (SBE 16 PLUS V2) measurements collected at the OBSEA underwater observatory during January, 2019
DOI: 10.1594/pangaea.903244
title: Weather station (Meteo Buoy WeatherStation Instrument 150WX) measurements collected at the OBSEA underwater observatory buoy during March, 2015
DOI: 10.1594/pangaea.902376
title: CTD (SBE 16 PLUS V2) measurements collected at the OBSEA underwater observatory during February, 2010
DOI: 10.1594/pangaea.949920
title: Megafauna abundance records during 2017 and 2018 SponGES Cruises (GSGS2017110 and GS2018108) with RV G.O. Sars and ROV Ægir 6000 on Schulz Bank, Arctic Mid-Ocean Ridge

description: Abundance records of megafauna observed in images extracted from six remotely operated vehicle (ROV) dives during two SponGES cruises conducted in the summers of 2017 and 2018. The ROV dives were performed by Ægir 6000 and the cruises were conducted on the RV G.O. Sars. The ROV dives traversed across various regions on the seamount, from the base of the seamount at 2700 m depth to the summit at 580 m depth. 600 images were selected and annotated from the dives where all megafauna &gt;1 cm were documented in the imagery.
DOI: 10.1594/pangaea.958680
title: Plant DNA taxa detected in Lake La Thuile sediments (North-western Alps) over the last 6500 years

description: This dataset contains plant taxa detected by sedimentary DNA analyses. The dataset is presented in number of DNA sequences by replicate of analyses (4 PCR replicates for plants and 12 for mammals). It has been generated applying the DNA metabarcoding approach on a 5.49-m long sediment cores retrieved by using a UWITEC platform and coring devices. The primers used are g (5'-GGGCAATCCTGAGCCAA-3') and h (5'-CCATTGAGTCTCTGCACCTATC-3') (Taberlet, P., et al. Power and limitations of the chloroplast trn L (UAA) intron for plant DNA barcoding. Nucleic acids research, 35(3), e14-e14. (2007)). The sequences were then produced by the Illumina technology (HiSeq instrument). The bioinformatic treatment of the sequences was operated applying the Obitool program (Boyer, F. et al. OBITOOLS:aUNIX-inspired software package for DNAmetabarcoding. Mol. Ecol. Resour. 16, 176–182 (2016)) and following the procedure described in Giguet-Covex et al. New insights on lake sediment DNA from the catchment: importance of taphonomic and analytical issues on the record quality. Scientific Reports. 9, 14676 (2019) (DOI https://doi.org/10.1038/s41598-019-50339-1). Further filtering treatments were then applied, as also described in Giguet-Covex et al. 2019. These second treatments allow the removal of 1) taxa assigned to a reference taxon at &lt;95 % of sequence identity, 2) potential contaminations (based on sampling, extraction and PCR controls, and recognition of exotic taxa) and 3) stochastic detections.
DOI: 10.1594/pangaea.912668
title: Benthic megafaunal specimen counts from seabed photographs at a site in the Central North Sea (STEMM-CCS Project)

description: The data are counts of megafaunal specimens in seabed photographs captured with a Teledyne Gavia autonomous underwater vehicle deployed from the RRS James Cook in May 2019 at a site in UK sector of the Central North Sea (Connelly, 2019), as part of the Strategies for Environmental Monitoring of Marine Carbon Capture and Storage (STEMM-CCS) project. The seabed photographs were captured using a GRAS-14S5M-C camera with a Tamron TAM 23FM08-L lens mounted to the Gavia autonomous underwater vehicle. The camera captured photographs at a temporal frequency of 1.875 frames per second, a resolution of 1280 x 960 pixels, and at a target altitude of 2 m above the seafloor. Overlapping photos were removed. Megafaunal specimens (&gt;1 cm) in the non-overlapping images were detected using the MAIA machine learning algorithm in BIIGLE. The potential specimens detected using this method were reviewed to remove false positives and classified into morphotypes manually. Counts by morphotype, latitude and longitude (in degrees), camera altitude (m above seafloor) and seabed area (m2) are provided for each photo. The following additional unchecked raw data are also provided: date, time, AUV mission number, and AUV heading, pitch, and roll. Acknowledgements We thank the crew and operators of the RRS James Cook and the Gavia autonomous underwater vehicle. The project was funded by the European Union's Horizon 2020 research and innovation programme under grant agreement No. 654462.
DOI: 10.1594/pangaea.951333
title: Gridded pan-Arctic total neutral atmospheric 10-m drag coefficient estimates derived from ICESat-2 ATL07 sea ice height data

description: This data-set contains average drag coefficient estimates for the whole of the Arctic (resampled onto a 25 km polar stereographic grid) for each month from 11.2018 to 06.2022. The total drag coefficients are referenced to a height of 10 meters and a neutrally stratified atmosphere is assumed. The total drag is the sum of open water drag scaled with (1-A) where A is sea ice concentration (Spreen et al., 2008), drag due to floe edges incorporated via a constant derived from parameterization (Lüpkes et al., 2012) and scaled with A(1-A), sea ice skin drag scaled with A, and sea ice form drag due to obstacles (e.g. ridges) computed from sea ice feature averages (Garbrecht et al., 2002) derived from ICESat-2 ATL07 sea ice heights (for all 25 km grid cells filled by ICESat-2 ATL07 data) (Kwok et al., 2021). Each individual component is also given as a separate variable in the data-set. In addition, the sea ice feature averages (10-km average obstacle height and obstacle spacing) used to derive form drag due to obstacles is also gridded and included in the data files. Obstacles below a threshold value of 20 cm and those that do not fulfill the Rayleigh Criterion (wherein if the trough between two peaks is smaller than the higher of two crests, only the higher one is considered) are omitted. Lastly, we scale up the ICESat-2 ATL07-derived form drag coefficients via a regression derived from comparing them to drag coefficients derived from topographic data collected during the 04.2019 NASA airborne Operation IceBridge ICESat-2 under-flights (Studinger, 2013). This is to deal with the sampling issues associated with resolution differences.
description: Access restricted, please use new version!
DOI: 10.1594/pangaea.923764
title: Amino acid isotope data of deep sea fauna, organic matter and sediment of a sponge ground on an Arctic North Atlantic seamount

description: SPOM= suspended particulate organic mattertrap = sediment trap
DOI: 10.1594/pangaea.890977
title: Physical oceanography during G. O. Sars cruise GS2016109A in June 2016, at the Schultz Massif Seamount (Norwegian/Greenland Sea)
DOI: 10.1594/pangaea.966438
title: Predation on Baltic Sea yolk-sac herring larvae (Clupea harengus) by the invasive ctenophore Mnemiopsis leidyi

description: These data set contain experimental data from a series of laboratory feeding experiments designed to investigate the predation effects of the invasive ctenophore Mnemiopsis leidyi on yolk-sac larvae of herring (Clupea harengus) in the Baltic Sea. This dataset includes detailed records of predator-prey interactions, specifically focusing on the clearance rates of M. leidyi based on variables such as larval age, predator size, and the presence of alternative prey. Key data features includes (1) predator size and clearance rates: data on the clearance rates of M. leidyi specimens of various sizes, showing the relationship between predator size and feeding efficiency on herring larvae, (2) larval age and predation: Information on how the age of herring larvae influences their susceptibility to predation by M. leidyi, and (3) prey selection experiments: results from experiments assessing the impact of the presence of alternative prey (Acartia tonsa) on the predation rates of herring larvae by M. leidyi. Environmental conditions under which the experiments were conducted, ensuring reproducibility and comparative analysis with field conditions. This dataset is crucial for understanding the potential ecological impact of M. leidyi on herring populations in the Baltic Sea, particularly in light of ongoing environmental changes and the species' invasive nature. The data support further research on jellyfish-ichthyoplankton interactions and contribute to broader ecological and fisheries management discussions.
DOI: 10.1594/pangaea.961007
title: Temperature and relative humidity in 10 min time resolution measured in the total inlet of the Swiss container during MOSAiC 2019/2020

description: This dataset contains the temperature and relative humidity in a bypass to the total inlet, measured during the MOSAiC expedition from October 2019 to September 2020. The measurements were performed in the bypass interstitial inlet of the Swiss container on the D-deck of Research Vessel Polarstern, using a commercial hygrometer model HC2 (Rotronic AG, Bassersdorf, Switzerland). The interstitial inlet had a flow of &gt; 17 L/min and was equipped with a 1 µm cyclone, for sampling interstitial particles only, as opposed to the total inlet (flow of &gt; 15 L/min) which sampled all particles and hydrometeors up to 40 µm in diameter. The total and interstitial inlets were located 3 meters apart and connected to a valve that switched hourly between the two inlets for a targeted set of instruments. The complete instrumental setup inside the Swiss container is presented in Heutte et al. (Submitted), Dada et al. (2022), and Beck et al. (2022). Inside both inlets, the temperature was kept constant around 20 °C and the relative humidity was maintained below 40 %, with a heating system following Global Atmosphere Watch (GAW) standards for aerosol sampling (WMO, 2016). This dataset contains measurements of temperature and relative humidity inside the bypass to the total inlet, averaged to 10 min time resolution (native resolution was 5 min), along with the position of the switching valve (1 = total inlet, 0 = interstitial inlet).
DOI: 10.1594/pangaea.961008
title: Temperature and relative humidity in 10 min time resolution measured in the interstitial inlet of the Swiss container during MOSAiC 2019/2020

description: This dataset contains the temperature and relative humidity in a bypass to the interstitial inlet, measured during the MOSAiC expedition from October 2019 to September 2020. The measurements were performed in the bypass of the interstitial inlet of the Swiss container on the D-deck of Research Vessel Polarstern, using a commercial hygrometer model HC2 (Rotronic AG, Bassersdorf, Switzerland). The interstitial inlet had a flow of &gt; 17 L/min and was equipped with a 1 µm cyclone, for sampling interstitial particles only, as opposed to the total inlet (flow of &gt; 15 L/min) which sampled all particles and hydrometeors up to 40 µm in diameter. The total and interstitial inlets were located 3 meters apart and connected to a valve that switched hourly between the two inlets for a targeted set of instruments. The complete instrumental setup inside the Swiss container is presented in Heutte et al. (Submitted), Dada et al. (2022), and Beck et al. (2022). Inside both inlets, the temperature was kept constant around 20 °C and the relative humidity was maintained below 40 %, with a heating system following Global Atmosphere Watch (GAW) standards for aerosol sampling (WMO, 2016). This dataset contains measurements of temperature and relative humidity inside the bypass to the interstitial inlet, averaged to 10 min time resolution (native resolution was 5 min), along with the position of the switching valve (1 = total inlet, 0 = interstitial inlet).
DOI: 10.1594/pangaea.961011
title: Continuous raw particle number concentration data in 10 sec resolution measured in the Swiss aerosol container using a whole air inlet during MOSAiC 2019/2020

description: This dataset contains raw particle number concentration data measured during the year-long MOSAiC expedition from October 2019 to September 2020. The measurement was performed in the Swiss aerosol container on the D-deck of Research Vessel Polarstern using a whole air inlet with an upper cut-off of 40 µm (called also total inlet). Data were collected by a Condensation Particle Counter (CPC) model 3776 (TSI Inc.) in 10 s time resolution with a lower cut-off diameter of 2.5 nm. More detailed information about its position and the measurement setup can be found in Beck et al. (2022).
description: We encourage data users to refer to Heutte et al. (Submitted) for a more detailed description of the data acquisition, data processing and corrections applied.We thank the Laboratory for Atmospheric Chemistry at the Paul Scherrer Institute for providing the instrument and expertise.
DOI: 10.1594/pangaea.961118
title: Continuous corrected particle number concentration data in 10 sec resolution measured in the Swiss aerosol container using a whole air inlet during MOSAiC 2019/2020

description: This dataset contains corrected particle number concentration data measured during the year-long MOSAiC expedition from October 2019 to September 2020. Some periods of the measurements were affected by repeated step changes in the particle number concentrations. This was caused by a valve, which was positioned in the line behind (downstream) the CPC and switched between a total air inlet and an interstitial inlet. During odd hours (i.e. 1 am, 3 am etc.) the valve was open to the interstitial inlet, during even hours to the total inlet. During the affected periods (4.9% of all data points), the measured particle number concentrations behind the interstitial inlet are lower compared to the previous and the following hour behind the total inlet. To correct for these step changes in concentration, we calculated two correction factors, i.e. at the beginning and at the end of the affected period. The two correction factors are derived by dividing the median particle number concentrations of 3 minutes before (after) the start (end) of the affected period by the median particle number concentration of 3 minutes after (before) the start (end) of the affected period. Each data point of the affected period was then corrected by multiplying its particle number concentration by the linearly interpolated correction factor at the corresponding timestamp. The corrected data set may still contain minor artifacts related to the step change correction, i.e. small deviations of the number concentration in the order of &lt; 10 %. The counting uncertainty of a CPC is nominally 10 %. Depending on how the dataset is used this might be relevant or not. The dataset has a time resolution of 10 sec. More detailed information about the measurement setup can be found in Beck et al. (2022). The data columns include time, latitude, longitude, particle number concentration and a correction flag (0 = uncorrected, 1 = corrected).
DOI: 10.1594/pangaea.961132
title: Cloud Condensation Nuclei (CCN) concentrations at 0.15% supersaturation level measured in the Swiss container during MOSAiC 2019/2020

description: This dataset contains CCN concentrations at five supersaturation levels, averaged to 1 min time resolution, measured during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. The measurements were performed in the Swiss container on the D-deck of Research Vessel Polarstern, using the model CCN-100 from Droplet Measurement Technologies (DMT, Boulder, USA). Detailed description of the measurement principle can be found in e.g. Roberts & Nenes (2005). The instrument was located behind an automated valve, which switched hourly between a total and an interstitial air inlet, with upper cutoff sizes of 40 and 1 µm respectively (Heutte et al., Submitted; Beck et al., 2022; Dada et al., 2022). The measurements were performed in 1-h cycles, with a 0.5 L/min sample flow and a 2 L/min make up flow, where the supersaturations 0.15, 0.2, 0.3, 0.5 and 1.0 % were measured. The supersaturation of 0.15 % is measured for 20 min, as it takes longer to equilibrate, and the remaining supersaturations were measured for 10 min each. The instrument was calibrated in July 2019 before the campaign, and in March and April 2020 during the campaign. Based on the inter-variability of the calculated supersaturation levels during these calibrations, we can expect values ranging from 0.15-0.20, 0.20-0.25, 0.29-0.33, 0.43-0.5, 0.78-1.0 % for the nominal supersaturations of 0.15, 0.2, 0.3, 0.5 and 1.0 %, respectively. The counting error for the CCNC is associated with the error in the optical counting of particles and is about 10 %. Data were removed during the cooling cycle (i.e., the time when the measurement cycle starts again and the temperature is cooled to set the lowest supersaturation), which corresponds roughly to the first 10 min of each hour (so 50 % of the 0.15 % supersaturation period). Additionally, the first minute of the transition between supersaturations was removed before averaging the data to 1 min time resolution. During some time periods, a difference pattern of mean and standard deviation of the measurements between even and odd hours was observed, most probably caused by a persistent pressure drop in the inlet lines, resulting in a proportional reduction of the concentration measurements. For correction, the 1-h arithmetic mean of interstitial inlet measurements and the mean of the two adjacent hours of total inlet measurements were subtracted, and the resulting difference was added as a constant to the data points of the interstitial inlet measurements. The dataset contains a pollution mask for local pollution (predominantly exhaust from the Research Vessel Polarstern) with 0 indicating clean, and 1 indicating polluted periods (Beck et al., 2022; Beck et al., 2022).
DOI: 10.1594/pangaea.961137
title: Cloud Condensation Nuclei (CCN) concentrations at 1.0% supersaturation level measured in the Swiss container during MOSAiC 2019/2020

description: This dataset contains CCN concentrations at five supersaturation levels, averaged to 1 min time resolution, measured during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. The measurements were performed in the Swiss container on the D-deck of Research Vessel Polarstern, using the model CCN-100 from Droplet Measurement Technologies (DMT, Boulder, USA). Detailed description of the measurement principle can be found in e.g. Roberts & Nenes (2005). The instrument was located behind an automated valve, which switched hourly between a total and an interstitial air inlet, with upper cutoff sizes of 40 and 1 µm respectively (Heutte et al., Submitted; Beck et al., 2022; Dada et al., 2022). The measurements were performed in 1-h cycles, with a 0.5 L/min sample flow and a 2 L/min make up flow, where the supersaturations 0.15, 0.2, 0.3, 0.5 and 1.0 % were measured. The supersaturation of 0.15 % is measured for 20 min, as it takes longer to equilibrate, and the remaining supersaturations were measured for 10 min each. The instrument was calibrated in July 2019 before the campaign, and in March and April 2020 during the campaign. Based on the inter-variability of the calculated supersaturation levels during these calibrations, we can expect values ranging from 0.15-0.20, 0.20-0.25, 0.29-0.33, 0.43-0.5, 0.78-1.0 % for the nominal supersaturations of 0.15, 0.2, 0.3, 0.5 and 1.0 %, respectively. The counting error for the CCNC is associated with the error in the optical counting of particles and is about 10 %. Data were removed during the cooling cycle (i.e., the time when the measurement cycle starts again and the temperature is cooled to set the lowest supersaturation), which corresponds roughly to the first 10 min of each hour (so 50 % of the 0.15 % supersaturation period). Additionally, the first minute of the transition between supersaturations was removed before averaging the data to 1 min time resolution. During some time periods, a difference pattern of mean and standard deviation of the measurements between even and odd hours was observed, most probably caused by a persistent pressure drop in the inlet lines, resulting in a proportional reduction of the concentration measurements. For correction, the 1-h arithmetic mean of interstitial inlet measurements and the mean of the two adjacent hours of total inlet measurements were subtracted, and the resulting difference was added as a constant to the data points of the interstitial inlet measurements. The dataset contains a pollution mask for local pollution (predominantly exhaust from the Research Vessel Polarstern) with 0 indicating clean, and 1 indicating polluted periods (Beck et al., 2022; Beck et al., 2022).
DOI: 10.1594/pangaea.960923
title: Aerodynamic Particle Sizer spectrometer (APS) aerosol number concentrations, measured in the Swiss container during MOSAiC 2019/2020

description: This dataset contains particle number size distributions between 1.06-16.1 μm (aerodynamic diameter) and total concentration averaged to 1 min time resolution, measured with a commercial Aerodynamic Particle Sizer spectrometer (APS model 3321, TSI Incorporated, Minnesota, USA) during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. The measurements were performed in the Swiss container on the D-deck of Research Vessel Polarstern.
DOI: 10.1594/pangaea.934094
title: Water stable isotopes (dD, d18O) from EPICA Dome C ice core (Antarctica) (0-800 ka)

description: We present the full dD of water and d18O of water data at 55 cm resolution on the EPICA Dome C ice core from the near surface (6.6 m) to the bottom (3190 m), hence covering the last 800 ka.The EPICA Dome C ice core has been drilled in Antarctica (-75.1°S; 123.395°E; 3233 m elevation) between 1996 and 2004 and measurements performed from 2001 to 2020. Some of the data were already published in previous published studies (Jouzel et al. 2007; Stenni et al. 2001, 2004, 2010) but corrections were performed in the present data file. dD measurements from Jouzel et al. (2007) were obtained using a uranium reduction method. In this new dataset, these results over the last 800 ka are combined with new dD measurements (760 samples) performed over the deepest 418 m using a Picarro L2130-i (cavity ring-down spectroscopy). The d18O measurements presented here were performed using a water-CO2 equilibration method.This dataset goes along with a paper published in Nature Geoscience (Landais et al., 2021).