cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10799203
title: GlobalHighPM₂.₅ (2021)

description: Here is the first big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 1 km (i.e., D1K, M1K, and Y1K) global ground-level PM2.5 dataset over land for the year 2021. This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R2) of 0.91 and a root-mean-square error (RMSE) of 9.20 µg m-3 on a daily basis.

If you use the GlobalHighPM2.5 dataset in your scientific research, please cite the following reference (Wei et al., NC, 2023):





Wei, J., Li, Z., Lyapustin, A., Wang, J., Dubovik, O., Schwartz, J., Sun, L., Li, C., Liu, S., and Zhu, T. First close insight into global daily gapless 1 km PM2.5 pollution, variability, and health impact. Nature Communications, 2023, 14, 8349. https://doi.org/10.1038/s41467-023-43862-3
description: Note that the data are recorded in UTC time (i.e., GMT+0). 

This dataset is continuously updated. If you require additional data for related scientific research, please contact us (weijing_rs@163.com or weijing.rs@gmail.com).
DOI: 10.5281/zenodo.10398385
title: GlobalHighPM₂.₅ (2021)

description: Here is the first big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 1 km (i.e., D1K, M1K, and Y1K) global ground-level PM2.5 dataset over land for the year 2021. This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R2) of 0.91 and a root-mean-square error (RMSE) of 9.20 µg m-3 on a daily basis.

If you use the GlobalHighPM2.5 dataset in your scientific research, please cite the following reference (Wei et al., NC, 2023):





Wei, J., Li, Z., Lyapustin, A., Wang, J., Dubovik, O., Schwartz, J., Sun, L., Li, C., Liu, S., and Zhu, T. First close insight into global daily gapless 1 km PM2.5 pollution, variability, and health impact. Nature Communications, 2023, 14, 8349. https://doi.org/10.1038/s41467-023-43862-3
description: Note that the data are recorded in UTC time (i.e., GMT+0). 

This dataset is continuously updated. If you require additional data for related scientific research, please contact us (weijing_rs@163.com or weijing.rs@gmail.com).
DOI: 10.5281/zenodo.10795661
title: GlobalHighPM₂.₅ (2022)

description: Here is the first big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 1 km (i.e., D1K, M1K, and Y1K) global ground-level PM2.5 dataset over land for the year 2022. This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R2) of 0.91 and a root-mean-square error (RMSE) of 9.20 µg m-3 on a daily basis.

If you use the GlobalHighPM2.5 dataset in your scientific research, please cite the following reference (Wei et al., NC, 2023):





Wei, J., Li, Z., Lyapustin, A., Wang, J., Dubovik, O., Schwartz, J., Sun, L., Li, C., Liu, S., and Zhu, T. First close insight into global daily gapless 1 km PM2.5 pollution, variability, and health impact. Nature Communications, 2023, 14, 8349. https://doi.org/10.1038/s41467-023-43862-3
description: Note that the data are recorded in UTC time (i.e., GMT+0). 

This dataset is continuously updated. If you require additional data for related scientific research, please contact us (weijing_rs@163.com or weijing.rs@gmail.com).
DOI: 10.5281/zenodo.10795662
title: GlobalHighPM₂.₅ (2022)

description: Here is the first big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 1 km (i.e., D1K, M1K, and Y1K) global ground-level PM2.5 dataset over land for the year 2022. This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R2) of 0.91 and a root-mean-square error (RMSE) of 9.20 µg m-3 on a daily basis.

If you use the GlobalHighPM2.5 dataset in your scientific research, please cite the following reference (Wei et al., NC, 2023):





Wei, J., Li, Z., Lyapustin, A., Wang, J., Dubovik, O., Schwartz, J., Sun, L., Li, C., Liu, S., and Zhu, T. First close insight into global daily gapless 1 km PM2.5 pollution, variability, and health impact. Nature Communications, 2023, 14, 8349. https://doi.org/10.1038/s41467-023-43862-3
description: Note that the data are recorded in UTC time (i.e., GMT+0). 

This dataset is continuously updated. If you require additional data for related scientific research, please contact us (weijing_rs@163.com or weijing.rs@gmail.com).
DOI: 10.1594/pangaea.964317
title: Near-inertial waves mixing and ocean background observations in the eastern tropical North Atlantic (2006-2019) for evaluating Earth system models

description: A synoptic data set of near-inertial wave (NIW) mixing events and associated heat and momentum fluxes as well as oceanic background parameters is provided. The data set focuses on the vertical distribution of upper-ocean turbulence of 20 NIW events observed during 14 research cruises to the eastern tropical North Atlantic (ETNA) between 2006 and 2019. These 20 NIW events have been detected from ship ADCP records, based on velocities from the topmost usable bin. In order to be detectable, NIWs needed to exceed a velocity amplitude threshold of about 0.1 to 0.2 m/s during an observation time of at least 0.5 to 1 inertial periods. The data set includes (1) an average profile of turbulent dissipation rate of the detectable ETNA NIW events, plus data of the 67 local ship stations which contributed turbulent microstructure profiles to the average; (2) one file for each detectable NIW event (20 in total), containing current velocity profiles, and derived variables like vertical shear or mixed layer depth; (3) one file for each research cruise with at least one detected NIW event (14 research cruises in total), which contain timeseries for the entire time coverage inside ETNA, for the topmost current velocity as for ship based data related to surface heat and momentum fluxes. The data set is provided for evaluating vertical mixing schemes of NextGEMS (Next Generation Earth Modelling Systems) and other Earth system models.
DOI: 10.1594/pangaea.923766
title: Nitrogen fixation rates and primary production during summer monsoon 2018 in the Bay of Bengal (northeastern Indian Ocean) using 15N2 gas and 13CO3 tracer technique

description: The dataset compiles nitrogen fixation rates and primary production estimated using 15N2 gas and 13CO3 technique, respectively during the summer monsoon (12 July−2 August 2018) in the Bay of Bengal (northeastern Indian Ocean). The columns include Latitude, Longitude, Date/Time, Temperature, Salinity, σt (density), NO3 + NO2, PO4, SiO4, Average C uptake rates (primary production), and Average N2 fixation rates.
DOI: 10.1594/pangaea.928069
title: Seismic inversion models and results from the Tuaheni Landslide Complex (New Zealand)

description: The data files are results of seismic inversions carried out with seismic reflection data from the Tuaheni Landslide Complex, east of New Zealand's North Island on the Hikurangi Margin. The starting models and inversion results were created using an academic license to the HampsonRussell software, provided to GEOMAR Helmholtz Centre for Ocean Research Kiel. The results are presented in Crutchley et al. 2021 (doi:10.1029/2021JB021997).
description: Notes for loading the six SEGY formatted data files:X coordinate: Byte 81, decimetres (UTM60S, WGS84 datum)X coordinate: Byte 77, decimetres (UTM60S, WGS84 datum)Samples per trace: Byte 115Sample rate (microseconds): Byte 117Trace Number: Byte 1
DOI: 10.1594/pangaea.922453
title: Raw incubation data from 2007-2009 for samples collected at specific depths and light levels in the NE subarctic Pacific
DOI: 10.1594/pangaea.949065
title: Biomarker concentrations in gravity core MSM45_19-2

description: Sea ice and paleoenvironmental conditions were reconstructed based on gravity core MSM45_19-2 from the northern Labrador Shelf. Gravity core MSM45_19-2 was obtained during R/V Maria S. Merian expedition MSM45 (58°45.68'N, 61°56.25'W, water depth: 202 m) in 2015 (Schneider et al., 2016).For paleoenvironmental reconstructions of the last 9,000 years BP, biomarkers representing sea ice algae productivity (IP25), open-water phytoplankton productivity (brassicasterol, dinosterol and HBI III (Z)) and terrigenous input (campesterol) where analyzed. Aim of this study was to investigate (i) the role sea ice played before and during the final demise of the Laurentide Ice Sheet between 8.7 and 8.2 kyr BP, and (ii) the effects of meltwater events on remaining sea-ice cover and primary productivity.Concentrations of specific biomarkers were analyzed. 4-5 g of each sediment sample were extracted by sonication (3 x 15 min) using dichloromethane:methanol (2:1 v/v; 30 ml) as solvent. Prior to biomarker extraction two internal standards 7-HND (7-hexylnonadecane, 20 μl/sample) and androstanol (5α-androstan-3β-ol, 20 μl/sample) were added for quantification purposes. Hydrocarbon and sterol fractions were separated by open-column chromatography with SiO2 as stationary phase. For hydrocarbons, n-hexane (5 ml) and for sterols, ethylacetate:n-hexane (2:8 v/v; 7 ml) were used as eluent. Sterol fractions were silylated using 200 μl BSTFA (2 h, 60°C).Hydrocarbon concentrations were determined with a gas chromatograph coupled to an mass selective detector. For detailed measurement settings and compound identification see Fahl and Stein (2012). All biomarker concentrations were normalized to both the extracted weight of sediment (μg/gSed) and TOC (μg/gTOC). Further, accumulation rates were calculated (μg/cm2/yr) after the following equation (e.g., Stein & Macdonal, 2004):MAR = SR x DBD (1)TOC AR = MAR x TOC/100 (2)BM AR = MAR x BM (3)with MAR = Marine Accumulation Rate, SR = sedimentation rate (cm/yr), DBD = dry buld density (g/cm3), TOC = total organic carbon, BM = biomarker concentration (μg/gSed), AR = accumulation rate. Equation (2) was also applied to calculate BSi accumulation rates.After the determination of biomarker concentrations, the PIP25 index was calculated as follows:PIP25 = IP25/(IP25 + (PM x c)) (4)with PM = phytoplankton marker (brassicasterol (PBIP25), dinosterol (PDIP25) or HBI III (Z) (PIIIIP25)) and c = balance factor. The balance factor c is the ratio of mean IP25 concentration and mean sterol concentration, counterbalancing generally higher concentrations of sterols compared to IP25. As HBI III (Z) and IP25 showed similar concentrations in the initial studies from the Barents Sea lead to the assumption that the use of the balance factor c unnecessary in the calculation of the PIIIIP25 index (Belt et al., 2015; Smik et al., 2016).
DOI: 10.1594/pangaea.899222
title: Primary Production in the Mexican Pacific Ocean from 1999 to 2008 using C-14

description: The data represents the primary production measured by the C-14 assimilation method in the region of the California Current System (off Baja California), during spring, summer and fall of 1999. Additionally, primary production data of the region are shown of the tropical Mexican Pacific ocean of May 2001, March and August 2005 and November 2008.
description: C-14 assimilation method:The method consists of preparing a standard solution of sodium bicarbonate from the original reagent, using distilled water with a pH of 12. From this solution a known volume is added to mark (inoculate) the samples to determine the primary production. From the 100, 50, 30, 20, 10, 1 y 0.1% E 0(PAR) light depths, water sample were screened through a 150-μm net to exclude macrozooplankton. Three polycarbonate 250-mL bottles were filledwith this water and they were inoculated with 100 μL (5 μCi) of NaH14CO3. Two clear bottles were placed on transparent acrylic tubes along with a dark bottle per each depth. They were incubated at the original sampling depths for 2 hours, approximately at noon (local time). After incubation, samples were filtered through GN-6 membranes with 0.45 µm pore size and 25 mm diameter. All filters were placed on 20-mL borosilicate vials for scintillation liquid and 0.5 mL of 10% HCl was added in order to eliminate the inorganic 14C that was not fixed by phytoplankton during the photosynthesis. After 4 hours, 10 mL of Ecolite (scintillation liquid) were added to each vial. Radioactivity was determined with a Perkin Elmer scintillation counter. Primary production values (mg C m-3 h-1) were calculated from these radioactivity counts, according to Parsons et al. (1984), subtracting the carbon uptake of the dark bottles. The PP values were integrated through the euphotic zone using the trapezoidal integration method and expressed in mgC/m**2/h.
description: Supplement to: Sosa-Avalos, Ramón; Durazo, Reginaldo; Mitchell, Brian G; Cepeda-Morales, Jushiro; Gaxiola-Castro, Gilberto (2017): Phytoplankton photosynthetic parameters off Baja California: A tool to estimate primary production with remote sensing data. Ciencias Marinas, 43(3), 157-172
DOI: 10.1594/pangaea.927990
title: Seismic reflection data from the Tuaheni Landslide Complex (New Zealand)

description: This dataset includes seismic reflection data from the region of the Tuaheni Landslide Complex, east of New Zealand's North Island on the Hikurangi margin. The seismic reflection data were collected in 2014 aboard RV Tangaroa (TAN1404) using GEOMAR's P-Cable system.
DOI: 10.1594/pangaea.929318
title: Plankton community metabolism in Western Australia: estuarine, coastal and oceanic surface waters

description: Here we present a total of 86 stations sampled in six different areas along the Western Australian Coast in the southeastern Indian Ocean. This dataset includes measurements of planktonic net community production (NCP), gross primary production (GPP) and community respiration (CR) off coastal, estuarine and open ocean surface (0.5–3 m) waters between 15º - 36º South and 107º - 122º East. We also reported the following data for each station: temperature (ºC), salinity, nitrate (µM), phosphate (µM), chlorophyll-a (mg/m³), heterotrophic prokaryote abundance (cells/ml), Synechococcus abundance (cells/ml), picoeukaryotes abundance (cells/ml) and Prochlorococcus abundance (cells/ml).
DOI: 10.1594/pangaea.919082
title: Time series of hydrographic, chemical and primary production variables for a shelf station off A Coruña (NW Spain): 2017-2018

description: Water column discrete observations of temperature, salinity, density, irradiance, dissolved nutrients (nitrate, nitrite, phosphate, ammonium, silicate), oxygen, chlorophyll-a, primary production (carbon uptake) rates, and particulate organic carbon and nitrogen from samples collected monthly at a shelf station off A Coruña (NW Spain) between 2017 and 2018. These series are part of the long-term observational project RADIALES (Instituto Español de Oceanografía, IEO, Spain).
description: Method comment:1) Chla: filtration (Whatman GF/F filters), extraction in 90% acetone overnight (-20°C) and measured spectrofluorometrically. Reference: Neveux and Panouse 1987.2) PP: 14C-bicarbonate uptake. in situ-simulated incubations for 2h at noon. Reference: Bode et al. (2019).3) POC, PON, C/N: Filtration (Whatman GF/C filters until 1996; GF/F from 1996 onwards), drying (60°C) and combustion in elemental analyzer (Parsons et al. 1984)
DOI: 10.15468/dl.sef5uv
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Disanthus cercidifolius var. longipes H.T.Chang"
 ]
}

 The dataset includes 49 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015118-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.960348
title: Seismic reflection processed data of profile P05 (BGR18-205) during SONNE cruise SO267, Lau Basin, South Pacific Ocean

description: This seismic reflection line (214 km length) images the shallow crust in the Lau Basin, South Pacific Ocean. Data acquistion during December 2018 (Station SO267_43-1) using a 312 channel Sentinel RD streamer (3900 m active length) as recording unit and a 12 G-Gun array as source (volume: 84 liters, source point spacing: 50 m). Processing up to poststack time migration und depth conversion.
DOI: 10.1594/pangaea.969036
title: Dinoflagellate cyst counts from water samples along a land-sea transect off Cape Blanc NW Africa (Maria S. Merian cruise MSM79)

description: Dinoflagellate cyst counts obtained in water samples collected along a shelf break-offshore transect in the upwelling region off Cape Blanc (NW Africa) are presented. Data was collected in November 2018 during the cruise Maria S. Merian MSM 79. New data on organic-walled and calcareous dinoflagellate cysts were obtained within and between the nepheloid layers to investigate their distribution, dispersal and accumulation patterns. The main objectives were to find out how far cysts can be advected offshore and assess the role of nepheloid layers on the lateral transport of dinoflagellate cysts.Water samples (36 samples) were collected at 11 stations by in-situ pump (ISP) filtering (fraction &gt;10 μm) and processed on board immediately after recovery. For this, the polycarbonate filters were washed in previously filtered tap water (0.1 μm) to remove all particles from the filter. The sample was then sonicated and sieved over a 20 μm high precision metal sieve (Storck-Veco). Material was further concentrated by centrifugation (5 min at 3500 rpm) and transferred to Eppendorf tubes. The final volumes were adjusted to 1 ml and depending on the amount of organic content a known volume of material was transferred to a microscope slide embedded in glycerine jelly and covered with a coverslip. Slides were observed under a Zeiss Axioskop R5111 light microscope at x400 and x1000 magnifications, and all dinoflagellate cysts were identified and counted at the lowest possible taxonomic level.
DOI: 10.1594/pangaea.973632
title: Porosity of the melt pond bottom ice measured by micro-CT scanning during expedition PS122/5 (MOSAiC Leg 5) to the central Arctic Ocean

description: Porosity of sea ice were measured by micro-CT scanning. Micro-CT samples are collected from melt pond using an ice corer (Mark II coring system, Kovacs Enterprises, Inc., Indianapolis, USA). The microstructure of the ice cores was measured onboard R/V Polarstern with a micro-CT (Scanco Medical micro-CT 9. SCANCO Medical AG, Switzerland). The core samples were immediately transported to a cold laboratory at –15°C to prevent structural changes prior to measuring. Ice sections (5 cm × 5 cm × 5 cm) were cut off from the ice cores for measurement in the band saw in the cold laboratory. The temperature inside the micro-CT was consistently –12°C during the scan. The samples were scanned, and using this sampling collection method, we could measure the microstructure to a resolution of 26–42 mm in an approximate 20 mm × 20 mm footprint, depending on the sample diameter. After scanning the samples and producing the 3-D model reconstruction, we segmented the voxels of ice and air within the 3-D structure and used the segmented images to calculate the geometrical parameters. We used IPL Version 5.42 (Scanco Medical AG) to evaluate porosity using a triangulation-based estimate from the micro-CT samples. Details for micro-CT measuring method are explained in Nicolaus et al. (2022).
DOI: 10.1594/pangaea.956086
title: Raw and converted full-resolution data from ocean microstructure measurements using an MSS profiler during the Polarstern PS131 cruise, ATWAICE

description: Ocean microstructure profiles were collected using an MSS (Microstructure Sensor Profiler, Sea&Sun Technology, Germany) profiler during the Polarstern PS131 cruise, ATWAICE (28 June – 17 August 2022), from ice floes and from the ship. This dataset includes 1) the raw binary data in the instrument-specific MRD files and 2) the full-resolution time series from each channel converted into physical units with no further data processing applied (NetCDF, NC files). A set of two files (MRD and NC) is supplied per profile. The converted data are prepared following the SCOR Working Group ATOMIX guidelines and convention, corresponding to their Level 1. In total, 196 raw data files (cast004 to 199) are submitted. Casts 1 to 3 were from another profiler which flooded and the data are not useful. Out of 196 profiles, 16 were collected from the ship and 180 from sea ice. Of the 196 profile attempts, 10 were aborted, but all files are delivered for completeness. Please see the detailed log spreadsheet for stations and comments in the NC files. Throughout the cruise, the instrument functioned well, except the vibration sensor did not work and the fast thermistor channel produced a cut-off at low end, probably for output that exceeded the range of the A/D converter of the probe. In the later part of the cruise, episodic data transmission errors were encountered. The profiler used was MSS90L (SN 097), a loosely-tethered free-fall instrument equipped with two airfoil probes aligned parallel to each other, a fast-tip thermistor (FP07), an acceleration sensor (for body vibration measurements), conventional CTD sensors for precision measurements, a Turner Design Cyclops-7 in Vivo Chlorophyll/Blue sensor for ChlA fluorescence and a SST-DO, fast optical dissolved oxygen sensor. All channels were sampled at 512 Hz. The instrument was ballasted for a typical fall speed of 0.5 m s-1. The shear probes used were type PNS6, serial numbers C6258 (sensitivity 3.54e-04 at 21C, SHE1) and C6259 (sensitivity 3.99e-4 at 21C, SHE2). A temperature correction for the sensitivity was applied using the average in situ temperature, TM, as (1-0.011*(TC-TM)), where TC=21C. The same sensors were used throughout the cruise and the sensors point downward when the instrument profiles vertically. The deployment of the MSS from the ship was done from the starboard side. Because of the keel of the ship, the upper 15 m of dissipation rate profiles from the ship should be excluded in post-processing. The deployment from sea ice was typically by using a Nansen sled, through a hole, located approximately 100 -250 m away from the ship. The upper 2 m of the dissipation profiles from ice should be excluded in post-processing.
DOI: 10.1594/pangaea.964550
title: 2D multichannel seismic reflection processed data (Airgun working area dataset) of RV HESPERIDES during cruise HERMESIONE, Eivissa Channel, Mediterranean Sea

description: 2D reflection seismic data were acquired between September 14th to October 9th 2009, using the BIO Hespérides in the framework of the HERMESIONE cruise with Miquel Canals, University of Barcelona as the responsible PI. The seismic source used in the Eivissa Channel was a string of two BOLT® 1900LL guns in a cluster configuration towed 42.5 m beneath the stern of the vessel. The capacities of the guns used in this campaign are as follows: cluster of 40+40 cubic inches (cu. in.). The gun spacing is 0.8 metres between guns in the same cluster. The seismic source array was located at 2.5 m water depth. The firing frequency was 6 seconds.The single-channel streamer model 16.3x40.175 manufactured by SIG France®, with a length of 150 meters of active section, is divided into three active sections of 50 meters each. Each of the active sections is configured to form one channel, adding the 40 hydrophones that make up each of them, obtaining 50 metres of separation between the three groups. The separation between hydrophones is 1.25 metres. The streamer was at 0.5 – 1.5 m beneath the sea surface. The data is projected to UTM WGS 1984 31N.