cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.961315
title: Hydrochemistry of Lake Licheńskie between December 2014 and November 2015

description: The L1 is the deepest site of the lake (12.6 m). Hydrochemical measurements were performed with monthly resolution between December 2014 and November 2015. Lake water parameters (t, pH, EC, dissolve O2) so as trace gases (CH₄ and N₂O) were measured every 1 m from the surface to the near bottom layer. t, pH, EC and O2 were determined in situ with a YSI Professional Plus probe, calibrated and checked with certified reference material (Harbour water, NWHAMIL-20.2) beforehand. Trace gases were analysed in the laboratory. The surface water samples for trace gas analyses were collected directly at the air-water interface by hand and the deeper water layers were sampled using a Ruttner sampler (KC Denmark A/S). The water for trace gases was preserved with KOH powder (min. 85 wt. %; c.a. 1 g) and kept in amber glass 100 mL serum bottles stoppered with butyl septa and crimped with Al seals. Until the measurements the samples were stored in the dark in a cool box (at 4°C). For CH₄ and N₂O analysis a 20% N2-filled headspace volume was created. Then, after initial hand shaking, the samples were left overnight to equilibrate at a constant room temperature and analysed with a gas chromatograph (GC; Agilent). For the analysis of CH₄ a Carboxen 1010 Plot 30m x 0.53mm x 30µm column (Supelco) and a flame ionization detector (FID) was used. For N2O a GS-Carbonplot 30m x 0.32mm x 3µm (Agilent Technologies) column and an electron capture detector (ECD) was used. Concentrations of CH₄ and N₂O were obtained via peak integration and using the functions for gas pressure, headspace volume, ambient temperature, salinity and Bunsen solubility coefficients summarized by Wiesenburg and Guinasso (1979) as well as Weiss and Price (1980). For quality control gas standards (CH₄ in N₂ 100.0 ± 1.5 ppm mol and N₂O in N₂ 100.0 ± 1.5 ppm mol; PanGas; Switzerland) were used. Limit of quantification of our GC measurement was 1 ppm for CH₄ and 0.2 ppm for N₂O. Analtical error was estimated to ± 5%.
description: #999: below detection limit
DOI: 10.1594/pangaea.964211
title: Calcareous nannofossil biostratigraphy for the OAE2 strata in the Omagari-zawa section

description: 1 = present, - = absent, ? questinable occurence
DOI: 10.1594/pangaea.918682
title: Parameters of antimicrofouler defence after different heat wave regimes in eelgrass Zostera marina

description: Density of bacteria on Zostera marina, activity strength of Zostera marina surface extract against bacterial settlers and Rosmarinic acid concentration in Zostera marina leaf surface extracts, measured in May, July and August after three different heatwave regimes simulated in outdoor mesocosms at Kiel/Germany. To investigate the consequence of heatwaves on the chemical defense of eelgrass against microbial colonizers Z. marina plants were incubated in the Kiel Outdoor Benthocosm system under ambient control conditions and two different heatwave treatments: a treatment experiencing two spring heatwaves followed by a summer heatwave, and a treatment only experiencing just the summer heatwave. The capacity to deter microbial colonizers was found to be significantly up-regulated in Z. marina from both heatwave treatments in comparison to Z. marina under control conditions, suggesting defense regulation of Z. marina in response to marine heatwaves.
DOI: 10.1594/pangaea.923432
title: NEEM ice core nitrous oxide over the past 2000 years
DOI: 10.1594/pangaea.968467
title: Bulk stable isotope analysis (SIA) of historical and contemporary squid beaks

description: Raw data obtained from stable isotope analysis of δ13C and δ15N in beaks of the squids Gonatus fabricii (Lichtenstein, 1818) and Todarodes sagittatus (Lamarck, 1798) (Cephalopoda: Oegopsida), and primary analyses of these data. Squids sampled in the Baffin Bay, Davis Strait and Nordic Seas (1882-2010) and Iceland, Faroe Islands and Ireland (1844-2023), respectively. The beaks either come from the squids caught as bycatch, or from natural history museums, from stomach contents of predators.
description: Gonatus fabricii (Gonatidae)Time series; Year; n squids; Area; SourceLate XIXth C.; 1882; 1; Baffin Bay; BycatchLate XIXth C.; 1891; 1; ---; ---;1990s; 1900; 9; Nordic Seas; Northern fulmar's stomach contents1930s; 1930; 2; Davis Strait; Sleeper shark's stomach contents1930s; 1936; 5; Baffin Bay; Bycatch1970s; 1975; 5; ---; Bycatch1970s; 1977; 2; ---; Bycatch1970s; 1979; 2; ---; Bycatch2000s; 2004; 10; ---; Bycatch2010s; 2010; 10; Nordic Seas; Sperm whale's stomach contentsTodarodes sagittatus1840s; 1844; 4; Faroe Islands; Long-finned pilot whale's stomach contents1880s; 1881; 10; Iceland; Long-finned pilot whale's stomach contents1890s; 1897; 10; Faroe Islands; Long-finned pilot whale's stomach contentsContemporary 2016; 1; Ireland; BycatchContemporary; 2017; 1; Ireland; BycatchContemporary; 2018; 1; Ireland; BycatchContemporary; 2023; 4; Ireland; Bycatch
DOI: 10.1594/pangaea.959683
title: Inorganic ion concentrations in bodyfluids of marine invertebrates exposed to low salinity in the laboratory

description: Laboratory experiments were conducted in the climate chambers at GEOMAR Helmholtz Centre for Ocean Research Kiel in the time between March and November 2018. Experiments were designed to study the effect of long-term (1 month) exposure to low salinity in osmoconforming invertebrates. The study organisms (Asterias rubens, Mytilus edulis, Littorina littorea, Diadumene lineata, Strongylocentrotus droebachiensis and Psammechinus milliaris) were collected in Kiel Fjord, Eckernförder Bight or the Kattegat from spring to autumn 2018. Organisms were acclimated to climate chamber conditions for 1 week (under habitat salinity, 14˚C, constant aeration) and then subjected to salinity acclimation for 1-2 weeks until the final salinity treatment level was reached. Then different salinity treatments were maintained for 4 weeks. Water physiochemistry (temperature, salinity, pH, nitrite, nitrate, phosphate) was recorded frequently. After the experiment, samples were taken from seawater and body fluids to measure total osmolality (mosmol/kg) with an osmomat and inorganic ions (mmol/l). No body fluid samples were taken from Diadumene lineata as organisms were too small and volumes too low. Anions were measured with a novel protocol via ion chromatography, cations were measured via flame photometry.
DOI: 10.1594/pangaea.911121
title: Response of the microbial food web to gradients of organic matter and grazing pressure effect in incubation experiments in the Patagonia: Microcosm

description: The data-sets comes from three locations representative of three different marine ecosystems: Fjord (Chilean Patagonia), Ny-Ålesund (Arctic) and Mediterranean (Crete). It contains chemical and biological data collected in three mesocosm and four microcosm experiments conducted in the spring - summer period, in which the physico-chemical (pH, Carbon) and biological (grazing) conditions were altered to represent potential future climate change scenarios. The data-sets contains measurements in: carbonate chemistry, macro- and micro-nutrients concentrations, primary production, phytoplankton taxonomy, virus abundance, bacterial production, bacterial abundance, Zoo- and microzoo-plankton abundance, grazing rates for different taxonomic groups.
description: Zooplankton treatment: HZ: zooplankton added, LZ: Zooplankton removedCarbon treatment: 0C: No glucose addition, 0.5: 0.5 x Redfield. 1: 1xRedfield, 2: 2xRedfield, 3: 3XRedfield
DOI: 10.1594/pangaea.903524
title: Nitrogen and carbon in Laminaria solidungula and Saccharina latissima from Kongsfjorden, Spitsbergen, during the polar night 2016/17
DOI: 10.1594/pangaea.971331
title: Chlorophyll a concentration of Arctic kelps
DOI: 10.1594/pangaea.971332
title: C/N concentration of Arctic kelps
DOI: 10.1594/pangaea.971333
title: Growth rate of Arctic kelps
DOI: 10.1594/pangaea.926931
title: Microsatellite data of pipefish from six sampling locations in the southern Baltic Sea

description: In this experiment Syngnathus typhle individuals were collected at six different locations along the German Baltic Sea coastline. To analyse the populations structure of the pipefish we isolated genomic DNA from fin clips of collected pipefish female. All 144 female S. typhle samples were genotyped for 11 microsatellite loci, with a minimum of 20 individuals per sampling site. The allele report contains the microsatelite length of the three primer pools used for multiplex PCR. The report gives information, if indivuduals are homozygous (same allele length) or heterozygous (different allele length) for targeted alleles. Some samples were negelected due to too many missing alleles. Allele reports were uploaded in Microchecker and Genetix for analyses of the population structure.
DOI: 10.1594/pangaea.941200
title: Methane and nitrous oxide dissolved gas concentrations from rivers in the North American Arctic (2017–2019)

description: This dataset contains methane and nitrous oxide dissolved gas concentration and dissolved methane carbon isotope data from rivers in the Canadian Arctic Archipelago region collected between 2017-2019. River samples were collected during CCGS Amundsen cruises using a helicopter to travel to the rivers. At each river site, river water was pumped through tubing using a peristaltic pump. Water was collected into glass serum bottles and allowed to overflow three times before preserving with mercuric chloride and sealing with butyl rubber stoppers and aluminum crimp seals. Gas concentrations were determined using a purge and trap system coupled to a gas chromatograph/mass spectrometer, following the method of Capelle et al. (2015). For methane 𝛿13C, samples (one sample per event) were pre-concentrated through a purge and trap system (Finnigan PreCon Trace Gas Pre-Concentrator) and measured with a Finnigan Delta XP Plus mass spectrometer following the method of Damm et al. (2015).
DOI: 10.1594/pangaea.951173
title: Irradiance data at different depths and sites for field sampling in the Arctic fjord Kongsfjorden

description: Kelps act as ecosystem engineers and foundation species on many polar rocky shore coastlines. The main driver for their vertical and latitudinal distribution is the underwater light climate and temperature. Both are changing drastically in the Arctic in the course of global climate change. It was the aim of this study to analyse the effects of rising temperature and deteriorating underwater light climate on the potential habitat of kelps in the Arctic.The analyses of the underwater light climate in Arctic Kongsfjorden, Svalbard in July 2021. We divided Kongsfjorden in three areas, which are influenced by the run-off of sea-terminating glaciers (station A–J), the run-off of a land-terminating glacier (station K–O) and mostly clear water (control, station P–Q). In each area, we measured the spectrally resolved underwater light climate in the UV-B radiation (280-320 nm), UV-A radiation (320-400 nm) and photosynthetically active radiation (PAR, 400-700 nm) with a RAMSES-ACC-UV/VIS radiometer (TriOS Optical Sensor, Oldenburg, Germany) from 0–12.5 m. UV-B, UV-A and PAR were calculated by integrating the irradiance over the respective wavelengths.
DOI: 10.1594/pangaea.931475
title: Geospatial data bout the wildfire ignition probability and wildfire spreading capacity of Romanian vegetated surfaces

description: This data consist of a geospatial points layer (shp file), which deliver both the multi-criteria inventory records and the calculated wildfire ignition probability and wildfire spreading capacity (WIPI/WSCI) of the Romanian vegetated surfaces. The distance between points is 1km. The file consists of 70410 points in total, that overlap with the vegetated surfaces as derived from CORINE Land Cover data of 2018.
description: The data shared in this package delivers the wildfire ignition probability and spreading capacity of vegetated surfaces in Romania following the method developed by Hysa and Baskaya (2019, https://doi.org/10.1007/s40808-018-0519-9). The model relies on remotely sensed free data that covers the time-lapse between 2015-2020. Geospatial information about sixteen criteria about anthropogenic, hydro-meteorological, geophysical, and fuel properties of Romanian territory are considered here. Raw data regarding each criterion is acquired for free from different online databases. The attribute table of the shared shapefile includes all inventory measurements per each criterion. It consist of 70410 point geometries in total representing 1km2 each, covering all vegetated surfaces of Romania.
DOI: 10.1594/pangaea.941199
title: Methane and nitrous oxide sea-air fluxes calculated from samples collected in the North American Arctic Ocean (2015–2018)

description: This dataset contains methane and nitrous oxide dissolved gas concentration, dissolved methane carbon isotope, and ancillary hydrographic data from research cruises in the North American Arctic Ocean between 2015-2018. Ocean samples for methane and nitrous oxide analysis were collected from Niskin bottles mounted on a CTD rosette. Water was collected into glass serum bottles and allowed to overflow three times before preserving with mercuric chloride and sealing with with butyl rubber stoppers and aluminum crimp seals. Gas concentrations were determined using a purge and trap system coupled to a gas chromatograph/mass spectrometer, following the method of Capelle et al. (2015). Equilibrium dry atmospheric concentrations were 328.25, 329.14, 330.11, and 330.96 ppb for N2O and 1919.64, 1933.67, 1934.92, and 1933.50 ppb for CH4 in 2015, 2016, 2017, and 2018, respectively. Equilibrium dissolved concentrations were calculated from the measured temperature and salinity following Wiesenburg and Guinasso (1979) for CH4 and Weiss and Price (1980) for N2O. Equilibrium concentrations were calculated based on sample temperature and salinity and the atmospheric N2O or CH4 concentrations measured at Barrow, Alaska by the NOAA Earth System Research Laboratory Global Monitoring Division (Dlugokencky et al., 2020a,b), with corrections to local sea level pressure and 100% humidity. Oxygen concentration was determined using an oxygen sensor mounted on the Niskin rosette, calibrated with discrete samples analyzed by Winkler titration. The mixed layer depth was defined based on a potential density difference criterion of 0.125 kg/m³ relative to the density at 5 m depth, using CTD profiles binned to 1 m. The mixed layer depth was set to 5 m as a minimum. The instantaneous gas transfer velocities and fluxes are based on the instantaneous wind speed at the time of sampling. The 30-day weighted gas transfer velocities and fluxes are integrated over the residence time of the gas in the mixed layer, using up to the prior 30 days of observations, following the method of Teeter et al. (2018) as described in the main manuscript of Manning et al. (2022). The 60-day weighted gas transfer velocities and fluxes are integrated over the residence time of the gas in the mixed layer, using the prior 60 days of observations, following the method of Teeter et al. (2018) as described in the main manuscript of Manning et al. (2022). Atmospheric sea level pressure was obtained from the NCEP/NCAR reanalysis product, which is provided by the NOAA-ESRL Physical Sciences Laboratory (https://psl.noaa.gov/data/gridded). Fractional ice cover was obtained from the EUMETSAT Ocean and Sea Ice Satellite Application Facility (https://osi-saf.eumetsat.int). Sea ice concentration product AMSR-2 (identifier OSI-408) was used in 2017–2018 and SSMIS (identifier OSI-401-b) was used in 2015–2016.
DOI: 10.1594/pangaea.933326
title: Discrete nutrient and greenhouse gas (carbon dioxide, methane, and nitrous oxide) measurements in the Great Barrier Reef lagoon, Australia

description: This dataset provides discrete nutrient, dissolved and greenhouse gas samples collected during ship-based cruises in the southern Great Barrier Reef lagoon, Australia. Here we sampled the greenhouse gases of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) with time matched (georeferenced samples) discrete nutrient measurements (dissolved organic carbon, ammonium, nitrate, dissolved inorganic nitrogen, total nitrogen and phosphate) collected from the lagoon. Nutrient concentrations remained low overall, while the lagoon was oversaturated in CO2 and CH4 despite highly oxygenated waters that are normally unconducive for CH4 production. N2O was also undersaturated in the oligotrophic conditions. Dissolved greenhouse gases were measured with a Picarro G2201-i Cavity Ring Down Spectrometer for CO2 (200 ppb ±0.05%) and CH4 (5 ppb ± 0.05%) and a Picarro G2308 Cavity Ring Down Spectrometer for N2O concentrations (&lt;3.5 ppb ± 0.008%). Both Cavity Ring Down Spectrometer instruments were connected in a closed loop with twin showerhead exchangers and a gas drying agent (Drierite). The showerhead exchangers received seawater from the vessel cold water intake. Both instruments averaged 300 measurements over a five-minute cycle for each greenhouse gas sample. Salinity and temperature were recorded at the inlet of the seawater intake system with a Seabird SBE 21 (salinity ± 0.005 psu, temperature ± 0.002 °C). Dissolved oxygen was also recorded using a Hydrolab MS5 (dissolved oxygen 0.1 ± 0.02 mg L-1) fitted with an inline flow cell. Discrete nutrient and dissolved organic carbon (DOC) water samples were collected along survey transects using Niskin bottles from a depth of ⁓3 m. Dissolved nutrient samples were collected by filtering sample water through cellulose acetate syringe filters (0.45 µm) into sample rinsed 12 mL polypropylene vials before immediate freezing until laboratory analysis. Nutrient concentrations were determined using a Lachat QuickChem 8500 Flow Injection Analyser [Detection limits were 0.07 μmol ± 0.3% for nitrate (NOx-) and 0.35 μmol ± 5% for ammonium (NH4+)]. DOC samples were collected by filtering sample water through Whatman G/FF syringe filters (0.7 μm) into 40 ml pre-treated (100 μL mercuric chloride) VOC vials before immediate refrigeration until laboratory analysis. DOC concentrations were determined with OI Aurora 1030 W TOC Analyzer.
DOI: 10.1594/pangaea.914815
title: Experiment on performance of two invertebrate predators on warming and temperature variability: Experimental treatments implementation

description: Temperature regimes (ºC) implemented in the experiment for the four temperature treatments: ambient ('constant'), warm ('constant'), ambient sinusoidal and warm sinusoidal. The treatment regimes were based on 15 years (2000–2014) temperature data measured by GEOMAR weather station (Data source: GEOMAR, Ocean Circulation and Climate Dynamics - Marine Meteorology (http://www.geomar.de/en/service/weather; published in: doi:10.1594/PANGAEA.888599). Data gathered during the summer months June to September (experimental period) were taken into consideration only. The eight warmest years (reaching maximum values above 20°C in summer) were chosen and fitted to a polynomial (4th degree), representing today's average warm summer conditions (Ambient ('constant')). The 'Warm' treatment represented the identical polynomial function but with the offset of +4°C (projected future warming the Baltic Sea). Around these two 'constant' but seasonally fluctuating treatments, sinusoidal temperature fluctuations of 3°C amplitude were modelled ('Ambient sinusoidal' and 'Warm sinusoidal').
DOI: 10.1594/pangaea.964302
title: Chironomid counts for surface sediment samples (0-1cm depth) from a set of 20 lakes near Bergen, Norway

description: This dataset provides chironomid count data for core tops from 20 lakes located near Bergen, Norway. The lakes are situated either in the Røldal region or in the Førde region. For each lake, the chironomid counts as well as the coordinates (latitude/longitude) are presented. We obtained samples from the centre of each lake using a HON/Kajak gravity corer and analysed the top-centimetre (0-1 cm sediment depth) to determine the composition of the chironomid fauna. All sediment samples were retrieved during fieldwork in August and September 2019. Samples were transported to the laboratory (Birkbeck University of London, UK), where they were weighted and processed using standard protocols – this involved 20 min treatment with warm KOH (10 %) and sieving over a 100 µm mesh. Chironomid head capsules were subsequently handpicked from the residue, mounted on permanent microscope slides, and identified using Brooks et al. (2007). This dataset provides chironomid count data in number of chironomid head capsules per sample. Through a comparison against data from 1996 (Brooks & Birks, 2001), the chironomid dataset provides insight in the recent changes in the insect community of the lake ecosystem under ongoing climate change.
DOI: 10.1594/pangaea.922771
title: Spatial predictions of pingo, ice-wedge polygon and rock glacier occurrence across the circumpolar permafrost region for recent and future periods

description: This dataset contains spatial predictions of the potential environmental spaces for pingos, ice-wedge polygons and rock glaciers across the Northern Hemisphere permafrost areas. The potential environmental spaces, i.e. conditions where climate, topography and soil properties are suitable for landform presence, were predicted with statistical ensemble modelling employing geospatial data on environmental conditions at 30 arc-second resolution (~1 km). In addition to the baseline period (1950-2000), the predictions are provided for 2041-2060 and 2061-2080 using climate-forcing scenarios (Representative Concentration Pathways 4.5 and 8.5). The resulting dataset consists of five spatial predictions for each landform in GeoTIFF format.The data provide new information on 1) the fine-scale spatial distribution of permafrost landforms in the Northern Hemisphere, 2) the potential future alterations in the environmental suitability for permafrost landforms due to climate change, and 3) the circumpolar distribution of various ground ice types, and can 4) facilitate efforts to inventory permafrost landforms in incompletely mapped areas.
DOI: 10.1594/pangaea.967536
title: KOSMOS 2021 Gran Canaria mesocosm study on ocean alkalinity enhancement: remineralization

description: The data presented herein originates from a mesocosm study conducted as part of the EU H2020 OceanNETs project, aimed at investigating the ecological ramifications of ocean alkalinity enhancement. Nine mesocosms were deployed in Taliarte Harbour, Gran Canaria, Spain, and systematically sampled using integrated water samplers over the period spanning from September 10th to October 25th, 2021. Alkalinity was employed in a gradient design, ranging from ambient (0 µeq kg-1 added alkalinity, OAE0) to elevated levels of 2400 µeq kg-1 additional alkalinity (OAE2400) in increments of 300 µeq kg-1. The dataset encompasses a spectrum of sediment trap particle flux data, water column biogeochemistry variables, including inorganic nutrients, carbonate chemistry parameters, and particulate matter, alongside chlorophyll a concentrations. The study and data set offer insights into impacts of alkalinity enhancement on marine ecosystems and their associated biogeochemistry.
DOI: 10.15468/dl.wsvumy
title: Occurrence Download

description: A dataset containing 4688 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xiphophorus hellerii",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 4688 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030940-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.