cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.957145
title: Nitrate raw measurements at lander 2 in the German Baltic Sea

description: Coastal ecosystems are heterogeneous environments with high turnover rates of carbon and nutrients that influence the distribution of greenhouse gases (GHG). They also represent challenging environments for scientific investigations, requiring new technologies that go beyond discrete sampling. Here we present temporal high-resolution measurements of several physicochemical variables, including the partial pressures of CO2 and CH4, made in shallow waters at around 6 m water depth of the Baltic Sea using two autonomous lander systems. The two landers were deployed at the sediment-water interface (bottom lander) and about 400 m offshore near the German city Rostock with support from the buoy tender “Rosenort” operated by the Wasserstraßen- und Schifffahrtsverwaltung des Bundes, Stralsund (WSA Stralsund). These landers were equipped with six commercially available state-of-the-art sensors. Field data resolution ranged from 10 seconds to 60 minutes and was obtained for partial pressure of CO2 (Contros HydroC-CO2) and CH4 (Contros HydroC-CH4), temperature, salinity, depth (hydrostatic pressure), O2 (CTD-O2 with SBE-37SMP-ODO), the concentrations of phosphate (SBE HydroCycle PO4), nitrate (SBE SUNA V2), chlorophyll a and the turbidity (both with SBE-FLNTUSB ECO) as stationary measurements at two different locations in close proximity. The CTD and oxygen measurements provide exact water depth data for the respective lander locations. In the other data sets (e.g., CO2 measurements) rounded data is inserted instead of the exact depth data, which is 6 m for lander_1 and 5 m for lander_2. The deployment and recovery of the landers and thus the measurements took place between 04 September 2019 and 04 October 2019 and the sensors were operated under battery power and a centralized timestamp. Three events common to coasts were observed during the deployment, allowing tracking of (1) an advection of saline waters with a mineralization signal, (2) a storm event of about 4 days, and (3) a stagnation event. Sensor data and processed data are available in separate files.
DOI: 10.1594/pangaea.728576
title: Table 2: AMS radiocarbon ages from carbonate microfossils of sediment core MD97-2128

description: The ages are initially presented in conventional radiocarbon years (5730 a half-life), corrected for isotopic fractionation, and without reservoir correction. Samples with d13C values shown as 0 per mil produced insufficient CO2 to prepare an aliquot for 13C determination. The d13C value of 0 is assumed for these samples. An error in d13C of 1 per mil corresponds to an error of 8 radiocarbon years. The calibrated 14C ages (an approximate calendar timescale, pre-1950 AD) were calculated using the relationships provided by Stuiver and Reimer (1993), for samples with conventional ages less than 10 ka; and using Bard et al. (1998), for samples older than 10ka. For marine samples a reservoir correction of 400 years has been applied. No reservoir correction is applied for lacustrine samples (OZE 254, 259, 250, 251, 252, 253) because of the current absence of information concerninglacustrine 14C reservoir values for Lake Carpentaria.
DOI: 10.1594/pangaea.728579
title: Table 2: AMS radiocarbon ages from carbonate microfossils of sediment core MD97-2131

description: The ages are initially presented in conventional radiocarbon years (5730 a half-life), corrected for isotopic fractionation, and without reservoir correction. Samples with d13C values shown as 0 per mil produced insufficient CO2 to prepare an aliquot for 13C determination. The d13C value of 0 is assumed for these samples. An error in d13C of 1 per mil corresponds to an error of 8 radiocarbon years. The calibrated 14C ages (an approximate calendar timescale, pre-1950 AD) were calculated using the relationships provided by Stuiver and Reimer (1993), for samples with conventional ages less than 10 ka; and using Bard et al. (1998), for samples older than 10ka. For marine samples a reservoir correction of 400 years has been applied. No reservoir correction is applied for lacustrine samples (OZE 254, 259, 250, 251, 252, 253) because of the current absence of information concerninglacustrine 14C reservoir values for Lake Carpentaria.
DOI: 10.1594/pangaea.953908
title: Depth profiles of trace gases, biomass and phytoplankton group composition during RV POLARSTERN cruise PS92

description: This data set contains the concentrations of chlorohyll a (chla) and the phytoplankton fuctional types from the CTD stations during PS 92, which were calculated from marker pigment ratios using the CHEMTAX program (Mackey et al, 1996).Pigment ratios were constrained as suggested by Higgins et al. (2011) based on microscopic examination of representative samples during the cruise, and the input matrix published by Fragoso et al. (2016) was applied. The resulting phytoplankotn group composition is represented in chl a concentrations. From the same bottles various trace gases were measured as carbon monoxide (CO) and the Volatile Organic Compounds (VOCs) as Dimethyl sulphide (DMS), methanethiol (MeSH) and isoprene.
DOI: 10.1594/pangaea.878048
title: Seawater carbon chemistry and growth rate, mortality, fitness of cold-water coral Lophelia pertusa

description: Cold-water corals are important bioengineers that provide structural habitat for a diverse species community. About 70 % of the presently known scleractinian cold-water corals are expected to be exposed to corrosive waters by the end of this century due to ocean acidification. At the same time, the corals will experience a steady warming of their environment. Studies on the sensitivity of cold-water corals to climate change mainly concentrated on single stressors in short-term incubation approaches, thus not accounting for possible long-term acclimatisation and the interactive effects of multiple stressors. Besides, preceding studies did not test for possible compensatory effects of a change in food availability. In this study a multifactorial long-term experiment (6 months) was conducted with end-of-the-century scenarios of elevated pCO2 and temperature levels in order to examine the acclimatisation potential of the cosmopolitan cold-water coral Lophelia pertusa to future climate change related threats. For the first time multiple ocean change impacts including the role of the nutritional status were tested on L. pertusa with regard to growth, 'fitness', and survival. Our results show that while L. pertusa is capable of calcifying under elevated CO2 and temperature, its condition (fitness) is more strongly influenced by food availability rather than changes in seawater chemistry. Whereas growth rates increased at elevated temperature (+ 4°C), they decreased under elevated CO2 concentrations (800 µatm). No difference in net growth was detected when corals were exposed to the combination of increased CO2 and temperature compared to ambient conditions. A 10-fold higher food supply stimulated growth under elevated temperature, which was not observed in the combined treatment. This indicates that increased food supply does not compensate for adverse effects of ocean acidification and underlines the importance of considering the nutritional status in studies investigating organism responses under environmental changes.
description: In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2016) 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 2017-07-19.
description: Supplement to: Büscher, Janina Vanessa; Form, Armin; Riebesell, Ulf (2017): Interactive Effects of Ocean Acidification and Warming on Growth, Fitness and Survival of the Cold-Water Coral Lophelia pertusa under Different Food Availabilities. Frontiers in Marine Science, 4
DOI: 10.15468/dl.nabu27
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Perca fluviatilis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1800",
 "Year is less than or equal to 1804"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004476-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.961590
title: REVEALS reconstruction of past vegetation cover with original RPP values for European samples

description: This data set presents the reconstructed vegetation cover for 3491 sites based on harmonized pollen data from the data set LegacyPollen 2.0 (https://doi.pangaea.de/10.1594/PANGAEA.929773). 1115 sites are located in North America, 1435 in Europe, 533 in Asia, 173 in South America, 155 in Africa, and 80 in the Indopacific. Sugita's REVEALS model (2000) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal. Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were used for the reconstruction of vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. This includes records of the Southern Hemisphere. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.
DOI: 10.5061/dryad.s7h44j1mb
title: Deep learning-based autofocus method enhances image quality in light-sheet fluorescence microscopy

description: Light-sheet fluorescence microscopy (LSFM) is a minimally invasive and
 high-throughput imaging technique ideal for capturing large volumes of
 tissue with sub-cellular resolution. A fundamental requirement for LSFM is
 a seamless overlap of the light-sheet that excites a selective plane in
 the specimen, with the focal plane of the objective lens. However, spatial
 heterogeneity in the refractive index of the specimen often results in
 violation of this requirement when imaging deep in the tissue. To address
 this issue, autofocus methods are commonly used to refocus the focal plane
 of the objective lens on the light-sheet. Yet, autofocus techniques are
 slow since they require capturing a stack of images and tend to fail in
 the presence of spherical aberrations that dominate volume imaging. To
 address these issues, we present a deep learning-based autofocus framework
 that can estimate the position of the objective-lens focal plane relative
 to the light-sheet, based on two defocused images. This approach
 outperforms or provides comparable results with the best traditional
 autofocus method on small and large image patches, respectively. When the
 trained network is integrated with a custom-built LSFM, a certainty
 measure is used to further refine the network’s prediction. The network
 performance is demonstrated in real-time on cleared genetically labeled
 mouse forebrain and pig cochleae samples. Our study provides a framework
 that could improve light-sheet microscopy and its application toward
 imaging large 3D specimens with high spatial resolution.
description: # Deep learning-based autofocus method enhances image quality in
 light-sheet fluorescence microscopy Dataset DOI:
 [10.5061/dryad.s7h44j1mb](https://doi.org/10.5061/dryad.s7h44j1mb) ##
 Description of the data and file structure This dataset contains two
 folders: * test.zip * train.zip The defocus dataset, which includes ~400
 image defocus stacks collected from the mouse brain and cochlear tissue,
 and the step size between them is 2 μm. ## Code/software Two source codes
 use this dataset 1.
 [https://github.com/Chenli235/Defocus_train](https://github.com/Chenli235/Defocus_train) 2. [https://github.com/Chenli235/AngleCorrection_Unet](https://github.com/Chenli235/AngleCorrection_Unet)
DOI: 10.15468/dl.6gvjb3
title: Occurrence Download

description: A dataset containing 3247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Characidium zebra"
 ]
}

 The dataset includes 3247 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004475-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.933132
title: Harmonized chronologies of a global late Quaternary pollen dataset (LegacyAge 1.0)

description: This dataset presents global revised age models for taxonomically harmonized fossil pollen records. The age-depth models were established from mostly Intcal20-calibrated radiocarbon datings with a predefined parameter setting. 1032 sites are located in North America, 1075 sites in Europe, 488 sites in Asia. In the Southern Hemisphere, there are 150 sites in South America, 54 in Africa, and 32 in the Indopacific region. Datings, mostly C14, were retrieved from the Neotoma Paleoecology Database (https://www.neotomadb.org/), with additional data from Cao et al. (2020; https://doi.org/10.5194/essd-12-119-2020), Cao et al. (2013, https://doi.org/10.1016/j.revpalbo.2013.02.003) and our own collection. The related age records were revised by applying a similar approach, i.e., using the Bayesian age-depth modeling routine in R-BACON software.We complement the data publication by providing the source information on the references (most data are related to Neotoma) as a table linked to each Dataset ID. The data set and site IDs are from Neotoma if the data sets are derived from the Neotoma repository. In case of our own data collection efforts (Cao et al. (2020), Cao et al. (2013) and our own data), we used the already published PANGAEA event names in case they are related to the data or created our own site names with referencing to geographical regions similar to the Neotoma data naming principle.
DOI: 10.1594/pangaea.955957
title: UAV derived orthomosaics and digital elevation models of drained ice-dammed lake basin topography and ice margin, Russell Glacier, West Greenland, 3-6 Sept. 2021

description: The data contains two high-resolution, UAV derived orthomosaics and digital elevation models of the drained ice-dammed lake basin topography and ice margin at Russell Glacier, West Greenland surveyed on the 3rd and 6th September 2021. The UAV flights were conducted on two different dates using two different UAVs, due to the battery capacity and weather conditions. The ice margin (Mission I) was surveyed on the 3/9-2021 using a Fixed-wing, WingtraOne w. multi-frequency L1/L2 GNSS receiver. The drained lake basin topography (Mission II) was surveyed on the 6/9-2021 using a Quadcopter, DJI Phantom 4 Pro w. a KlauPPK 7700C GNSS receiver. The UAV images were processed using a structure-from-motion (SfM) workflow in Agisoft Metashape Pro. (v. 1.7.4). DEMs and orthomosaics for Mission I have a resolutions of 0.1 and 0.04 m, respectively, while for Mission II both have a resolution of 0.1 m The estimated uncertainty of the DEMs are X = -0.43 m, Y = 0.11 m and Z = 0.53 m. For a full description of the data processing see: https://doi.org/10.5194/egusphere-2022-566
DOI: 10.1594/pangaea.927914
title: Physical oceanography at CTD station 64PE421_7CTD
DOI: 10.1594/pangaea.927881
title: Physical oceanography at CTD station 64PE421_91CTD
DOI: 10.1594/pangaea.957167
title: A global compilation of diatom silica oxygen isotope records from lake sediment: individual datasets in a single table

description: Oxygen isotopes in biogenic silica (δ18O BSi) from lake sediments allow for quantitative reconstruction of past hydroclimate and proxy–model comparison in terrestrial environments. The signals of individual records have been attributed to different factors, such as air temperature (T air ), atmospheric circulation patterns, hydrological changes and lake evaporation. Here, we provide 55 composite down–core records published to date and complemented with additional lake basin parameters (e.g. lake water residence time and catchment size) to best characterize the signal properties. Records feature widely different temporal coverage and resolution ranging from decadal–scale records covering the last 150 years to records with multi–millennial scale resolution spanning glacial–interglacial cycles. Best coverage in number of records (N=37) and datapoints (N=2112) is available for northern hemispheric (NH) extra–tropic regions throughout the Holocene (corresponding to Marine Isotope Stage 1; MIS 1).
DOI: 10.1594/pangaea.971423
title: Seafloor images collected along OFOBS profile PS138_10-1 during RV POLARSTERN cruise PS138

description: The newly developed Image Fair Digital Objects (iFDO) standard according to Schoening et al. (2022) was used here and published as additional metadata. In contrast to version 2.0 of the standard, this dataset does not contain image handles.
DOI: 10.1594/pangaea.971439
title: Seafloor images collected along OFOBS profile PS138_102-1 during RV POLARSTERN cruise PS138

description: The newly developed Image Fair Digital Objects (iFDO) standard according to Schoening et al. (2022) was used here and published as additional metadata. In contrast to version 2.0 of the standard, this dataset does not contain image handles.
DOI: 10.1594/pangaea.927901
title: Physical oceanography at CTD station 64PE421_41CTD
DOI: 10.1594/pangaea.971433
title: Seafloor images collected along OFOBS profile PS138_34-1 during RV POLARSTERN cruise PS138

description: The newly developed Image Fair Digital Objects (iFDO) standard according to Schoening et al. (2022) was used here and published as additional metadata. In contrast to version 2.0 of the standard, this dataset does not contain image handles.
DOI: 10.1594/pangaea.971435
title: Seafloor images collected along OFOBS profile PS138_127-1 during RV POLARSTERN cruise PS138

description: The newly developed Image Fair Digital Objects (iFDO) standard according to Schoening et al. (2022) was used here and published as additional metadata. In contrast to version 2.0 of the standard, this dataset does not contain image handles.
DOI: 10.1594/pangaea.971436
title: Seafloor images collected along OFOBS profile PS138_78-1 during RV POLARSTERN cruise PS138

description: The newly developed Image Fair Digital Objects (iFDO) standard according to Schoening et al. (2022) was used here and published as additional metadata. In contrast to version 2.0 of the standard, this dataset does not contain image handles.
DOI: 10.1594/pangaea.971692
title: LegacyPollen2.0: Taxonomically harmonized pollen counts of European samples with revised chronologies

description: This data set consists of the taxonomically harmonized and temporally standardized fossil pollen data from 3680 records. 1122 records are located in North America, 1446 records in Europe, 687 records in Asia, 185 records in South America, 159 in Africa and 81 in the Indo-Pacific region. We expanded the previous version of the LegacyPollen 1.0 data set (Herzschuh et al., 2022; https://doi.org/10.5194/essd-14-3213-2022) with records from the Neotoma Paleoecology Database (https://www.neotomadb.org/; last access: August 31, 2022), ACER 1.0 database (Sánchez Goñi et al., 2017; https://doi.org/10.1594/PANGAEA.870867), Chinese fossil pollen dataset (Zhou et al., 2023, https://www.plant-ecology.com/CN/Y2023/V47/I10/1453 [in Chinese]; Cao et al., 2022, https://doi.org/10.1111/gcb.16274), and our own collection for the Asian sector. Taxonomic harmonization (i.e., woody taxa and major herbaceous taxa have been harmonized to genus level and other herbaceous taxa to family level) and temporal standardization (i.e., re-estimation of age-depth models) follow the previously established frameworks LegacyPollen 1.0 (Herzschuh et al., 2022; https://doi.org/10.5194/essd-14-3213-2022) and LegacyAge 1.0 (Li et al., 2022; https://doi.org/10.5194/essd-14-1331-2022), respectively. In compiling the dataset, we also followed the practices recommended by Flantua et al. (2023; https://doi.org/10.1111/geb.13693) for large-scale paleoecological data synthesis, such as how to select data sources and filter the dataset.Compared to the LegacyPollen 1.0 dataset, we now include the Neotoma DOI (if Neotoma source) in the overview table of site metadata to eliminate the broken chain of static LegacyPollen 2.0 dataset with living (such as updating discovered metadata errors and chronologies) Neotoma and associated risk of data staleness. Furthermore, we also added the PANGAEA Event (PANGAEA dataset identifier) for each new record to ensure that our dataset meets PANGAEA's high standards for quality, usability, and compliance.
description: The event AKO_combined cobines events "AKO 11; AKO 14; AKO24; AKO25" =&gt; Neotoma URLs: https://doi.org/10.21233/XW3E-V308; https://doi.org/10.21233/22EZ-Q584; https://doi.org/10.21233/BJGC-8T48; https://doi.org/10.21233/A024-5D69
DOI: 10.1594/pangaea.910601
title: Relative abundance of intact polar lipid classes in soils, roots, fungi, collembola, amoebae and bacteria

description: Relative abundance of intact polar lipid classes (% of total). The relative abundance of each specific lipid species/class were normalized to 100% of total intact polar lipid per sample.
DOI: 10.1594/pangaea.910845
title: Relative abundance of intact polar lipid species in roots

description: Unit is given in % of total.
DOI: 10.15468/dl.j9m7d3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhopalura murmanica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004477-260126135527185/datasets/export for details.
DOI: 10.1594/pangaea.910740
title: Relative abundance of intact polar lipid species in soils
DOI: 10.1594/pangaea.910860
title: Relative abundance of intact polar lipid species in bacteria

description: Unit is given in % of total.
DOI: 10.1594/pangaea.910885
title: Relative abundance of intact polar lipid species in collembola

description: Unit is given in % of total.
DOI: 10.1594/pangaea.971419
title: Seafloor images collected along OFOBS profile PS137_42-1 during RV POLARSTERN cruise PS137

description: The newly developed Image Fair Digital Objects (iFDO) standard according to Schoening et al. (2022) was used here and published as additional metadata. In contrast to version 2.0 of the standard, this dataset does not contain image handles.
DOI: 10.1594/pangaea.971442
title: Seafloor images collected along OFOBS profile PS138_180-1 during RV POLARSTERN cruise PS138

description: The newly developed Image Fair Digital Objects (iFDO) standard according to Schoening et al. (2022) was used here and published as additional metadata. In contrast to version 2.0 of the standard, this dataset does not contain image handles.
DOI: 10.1594/pangaea.971418
title: Seafloor images collected along OFOBS profile PS137_39-1 during RV POLARSTERN cruise PS137

description: The newly developed Image Fair Digital Objects (iFDO) standard according to Schoening et al. (2022) was used here and published as additional metadata. In contrast to version 2.0 of the standard, this dataset does not contain image handles.