cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.932256
title: Exposure to air pollution in Germany for the decade 2010-2019 (APExpose_DE)

description: In this dataset we present metrics related to the exposure to air pollution in Germany for the decade 2010-2019. The sources used for the production of the dataset were Airbase, from the European Environmental Agency (https://www.eea.europa.eu/themes/air/explore-air-pollution-data) and the CAMS (Copernicus Atmosphere Monitoring Service) global reanalysis EAC4 (https://www.ecmwf.int/en/forecasts/dataset/cams-global-reanalysis). Stations of the types "Traffic" and "Industrial" were left out for being considered unrepresentative to long-term exposure, those of the type "Background" were included. Each station was geo-located within, and each computed yearly value associated to, a NUTS-3 unit. Within each NUTS-3 (Nomenclature of Territorial Units for Statistics) unit and for each metric, the yearly values per station were averaged in three ways, giving preference to different station sitings, each representing a different scenario: average, urban, remote.The monitoring data were produced for the NUTS-3 units and the years where monitoring data for a given pollutant is available. In order to complete the dataset for the NUTS-3 units where no monitoring data for a given pollutant is available, the Copernicus Atmospheric Monitoring Service (CAMS) EAC4 reanalysis (https://www.ecmwf.int/en/forecasts/dataset/cams-global-reanalysis) was used. The yearly-averaged rasters from CAMS were vectorized and scaled to available monitoring data to obtain values for each NUTS-3 units.As a final step, the Airbase and CAMS derived data were combined to produce the APExpose_DE dataset. Each record (each line in the file) corresponds to a NUTS-3 unit (identified by its name and its code), and a scenario, for a given year.There are 402 NUTS-3 units in Germany and 3 scenarios were developed, the total number of records in the dataset is 1206 per year, or 12060 for the entire study period. Each record includes a numeric value for each metric considered. The ASCII format of the provided dataset enables a simple access and workup. The NUTS-3 code, provided for each record, enables linking the dataset to other, possibly vectorized, datasets at the NUTS-3 or coarser level.
description: The APExpose_DE dataset is a long-term (2010-2019) dataset providing ambient air pollution metrics at yearly time resolution for NO2, NO, O3, PM10 and PM2.5 at the NUTS-3 spatial resolution level (corresponding to the Landkreis/Kreisfreie Stadt in Germany).
DOI: 10.1594/pangaea.934692
title: Geochemical composition of inorganic silicate fraction of surface sediment samples collected along a 131.5°W transect in the central Pacific

description: This dataset includes neodymium isotope ratios and La, Yb, Sc, and Th concentrations of inorganic silicate fractions of surface sediments from the central Pacific, with relevant sampling information. The aim of the study is to identify latitudinal changes in hemispheric dust provenance. 16 sediment cores were collected along a 131.5°W transect from the equator to 16°N at ~1º intervals using a multiple corer and a piston corer on the R/V Onnuri during KODOS03-03 cruise (2003.07.03-2003.08.01; Chief Scientist: Woong-Seo Kim) and KODOS05-01 cruise (2005.07.17-2005.08.15; Chief Scientist: Woong-Seo Kim). Subsamples were taken at 1 cm intervals from the split cores, and those obtained within the top 10 cm of the cores (usually within the top 3 cm) were used to extract the inorganic silicate fraction. The inorganic silicate fractions of bulk sediments were isolated by sequential dissolution with 25% acetic acid, hot sodium citrate-sodium dithionite solution buffered with sodium bicarbonate, and hot sodium hydroxide solution. The elemental composition of the inorganic silicate fraction was determined using a quadrupole ICP-MS following conventional acid digestion. 143Nd/144Nd ratios were determined via multi-collector thermal ionization mass spectrometer using standard cation exchange techniques.
DOI: 10.1594/pangaea.949253
title: CTD measurements acquired in a small lake (“Lake 3”) between the villages of Tuktoyaktuk and Inuvik, Canada

description: This dataset contains CTD measurements, taken together with temperature gradient or gas concentration measurements in September 2021 at 53 locations off Tuktoyaktuk Island and in a small lake (“Lake 3”) between the villages of Tuktoyaktuk and Inuvik, as well as in a former river channel (“Swiss Cheese Lake”) in the Mackenzie Delta, Northwest Territories, Canada. The measurements were part of the “Mackenzie Delta Permafrost Field Campaign” (mCan2021) within the “Modular Observation solutions for Earth Systems” (MOSES) program. Data is recorded using a CastAway-CTD that is manually lowered to the bottom of the lake or ocean at the measurement sites and contains information about water conductivity, temperature and depth and GPS position. Especially the water temperature and conductivity/salinity are important for gas concentration data processing. The data is provided as unprocessed raw data.
DOI: 10.1594/pangaea.949256
title: CTD measurements acquired in a former river channel (“Swiss Cheese Lake”) in the Mackenzie Delta, Northwest Territories, Canada

description: This dataset contains CTD measurements, taken together with temperature gradient or gas concentration measurements in September 2021 at 53 locations off Tuktoyaktuk Island and in a small lake (“Lake 3”) between the villages of Tuktoyaktuk and Inuvik, as well as in a former river channel (“Swiss Cheese Lake”) in the Mackenzie Delta, Northwest Territories, Canada. The measurements were part of the “Mackenzie Delta Permafrost Field Campaign” (mCan2021) within the “Modular Observation solutions for Earth Systems” (MOSES) program. Data is recorded using a CastAway-CTD that is manually lowered to the bottom of the lake or ocean at the measurement sites and contains information about water conductivity, temperature and depth and GPS position. Especially the water temperature and conductivity/salinity are important for gas concentration data processing. Data ist provided as unprocessed raw data.
DOI: 10.1594/pangaea.949258
title: CTD measurements acquired in the region of Tuktoyaktuk Island, Northwest Territories, Canada

description: This dataset contains CTD measurements, taken together with temperature gradient or gas concentration measurements in September 2021 at 53 locations off Tuktoyaktuk Island and in a small lake (“Lake 3”) between the villages of Tuktoyaktuk and Inuvik, as well as in a former river channel (“Swiss Cheese Lake”) in the Mackenzie Delta, Northwest Territories, Canada. The measurements were part of the “Mackenzie Delta Permafrost Field Campaign” (mCan2021) within the “Modular Observation solutions for Earth Systems” (MOSES) program. Data is recorded using a CastAway-CTD that is manually lowered to the bottom of the lake or ocean at the measurement sites and contains information about water conductivity, temperature and depth and GPS position. Especially the water temperature and conductivity/salinity are important for gas concentration data processing. The data are provided as unprocessed raw data.
DOI: 10.1594/pangaea.949264
title: Bathymetry from two Arctic lakes in the Mackenzie Delta, Northwest Territories, Canada

description: Bathymetry from small lakes in the Arctic is generally not available; however, this type of data is useful in interpreting other data, such as geoelectric surveys. To this end, we deployed a small automated boat carrying a sonar sensor to measure water depth and a GNSS to measure position on two lakes: Swiss Cheese Lake” (69.2320°N / 135.2513°W) between Sept. 13 and 16, 2021 and at “Lake 3” (68.7763°N / 133.5404°W) on Sept. 18, 2021. The boat is approximately 80 cm long and propelled with a single thruster. The boat uses a Pixhawk 4 controller to automate it's movement and record all the data from the mission. An Airmar SS510 transducer measures water depth (bathymetry) at 200kHz, with beam width of 9°, and can measure from 0.4 to 200m with a resolution of 1cm (depth accuracy 99.46% at full range). The boat has two GNSS (GPS) receivers; one U-blox Neo-M8N (2.5m position accuracy) and one Emlid Reach M+. The Reach M+ is capable of cm level positioning when used with a base station (RTK) or if the data are post processed (PPK) after data collection. Available here are both the raw and processed datasets in different formats. Please see the included Readme_mcan21_BathyBoat.pdf for detailed information on the datafiles and data processing.
DOI: 10.1594/pangaea.949181
title: Active layer depths at a thermokarst lake in the Mackenzie Delta and on Tuktoyaktuk Island, Northwest Territories, Canada

description: This dataset contains Permafrost active layer depths taken in September 2021 at 28 locations on Tuktoyaktuk Island (Beaufort Sea) as well as next to a small thermokarst lake (“Lake 3”) between the villages of Tuktoyaktuk and Inuvik, Northwest Territories, Canada. The measurements were part of the “Mackenzie Delta Permafrost Field Campaign” (mCan2021) within the “Modular Observation solutions for Earth Systems” (MOSES) program. Depths were taken using a 1.5 m permafrost probe. The aim was to measure the active layer thickness above the permafrost in order to be able to verify depths to permafrost inferred using geophysical methods (Seismic ambient noise, Electrical Resistivity Tomography “ERT”). Data is provided in CSV format.
DOI: 10.1594/pangaea.949290
title: Temperature measurements at three subaquatic sites in the Mackenzie Delta, Northwest Territories, Canada

description: Bottom water temperatures in lakes and the near-shore Arctic Ocean are usually below 4°C. If the water depth is shallow enough, the sea/lake ice freezes to the sea/lake bed and may significantly shift the mean annual temperature below zero. Thus, pre-existing permafrost may survive inundation but undergoes a rapid warming of up to 10°C. Taliks form and grow deeper over time. The temperature regime below the water is therefore directly dependent on the water depth and small changes can have a huge impact. Measurements of the sediment temperature below shallow water bodies are scarce, and single temperature-chains in boreholes are not sufficient to map spatial variability. We are using a new temperature lance to measure temperature profiles in lake sediments. The device is a 1.5m steel lance with 30 sensors at 5cm spacing that can be pushed or hammered into the sediment. The sensors equilibrate to sensor accuracy within 10min, allowing for repeat measurements to cover the spatial variability. As part of the “MOSES 2021 Canada” expedition temperature-depth profiles have been measured at three different sites: “Swiss Cheese Lake” in the outer Mackenzie Delta, “Lake 3” east of the Inuvik-Tuktoyaktuk-Highway north of Trail Valley Creek and at Tuk Island in the harbour of Tuktoyaktuk.
DOI: 10.1594/pangaea.950972
title: Spatial high resolution CH4 and CO2 concentrations in surface water of Swiss Cheese Lake, Mackenzie Delta, Northwest Territories, Canada on 2021-09-14

description: This dataset contains gas concentrations (CH4, CO2) in high spatial resolution from surface waters in September 2021 in a lake in the Mackenzie Delta ("Swiss Cheese Lake"). We measured surface water gas concentrations from small boats using a Microportable Greenhouse Gas Analyzer connected to a Dissolved Gas Extraction Unit (Los Gatos Research). The measurements were part of the "Mackenzie Delta Permafrost Field Campaign" (mCan2021) within the "Modular Observation solutions for Earth Systems" (MOSES) program.
DOI: 10.1594/pangaea.783925
title: Dissolved inorganic carbon, total alkalinity, methane, oxygen and salinity from water bottle stations at Sleipner during ALKOR cruise AL374
DOI: 10.1594/pangaea.808046
title: Physical oceanography during towed CTD track AL374_497-1 (CTD02)
DOI: 10.1594/pangaea.808066
title: Physical oceanography during towed CTD track AL374_500-1 (CTD03)
DOI: 10.1594/pangaea.808067
title: Physical oceanography during towed CTD track AL374_506-1 (CTD04)
DOI: 10.1594/pangaea.815785
title: Physical oceanography during towed CTD track AL374_513-1 (CTD05a)
DOI: 10.1594/pangaea.815786
title: Physical oceanography during towed CTD track AL374_520-1 (CTD06)
DOI: 10.1594/pangaea.815788
title: Physical oceanography during towed CTD track AL374_524-1 (CTD07)
DOI: 10.1594/pangaea.815789
title: Physical oceanography during towed CTD track AL374_534-1 (CTD08-1)
DOI: 10.1594/pangaea.815790
title: Physical oceanography during towed CTD track AL374_538-1 (CTD09)
DOI: 10.1594/pangaea.815791
title: Physical oceanography during towed CTD track AL374_540-1 (CTD10)
DOI: 10.1594/pangaea.815792
title: Physical oceanography during towed CTD track AL374_542-1 (CTD11)
DOI: 10.1594/pangaea.815793
title: Physical oceanography during towed CTD track AL374_544-1 (CTD12)
DOI: 10.1594/pangaea.815794
title: Physical oceanography during towed CTD track AL374_547-1 (CTD13)
DOI: 10.1594/pangaea.821630
title: pCO2 measurements during towed CTD track AL374_500-1 (CTD03)
DOI: 10.1594/pangaea.821631
title: pCO2 measurements during towed CTD track AL374_497-1 (CTD02)
DOI: 10.1594/pangaea.821639
title: pCO2 measurements during towed CTD track AL374_495-2 (CTD01-2)
DOI: 10.1594/pangaea.821641
title: pCO2 measurements during towed CTD track AL374_513-1 (CTD05a)
DOI: 10.1594/pangaea.821645
title: pCO2 measurements during towed CTD track AL374_520-1 (CTD06)
DOI: 10.1594/pangaea.821650
title: pCO2 measurements during towed CTD track AL374_524-1 (CTD07)
DOI: 10.1594/pangaea.830552
title: Physical oceanography during towed CTD track AL412_121-1 (VCTD2)
DOI: 10.1594/pangaea.830553
title: Physical oceanography during towed CTD track AL412_127-1 (VCTD3)
DOI: 10.1594/pangaea.830554
title: Physical oceanography during towed CTD track AL412_128-1 (VCTD4)
DOI: 10.1594/pangaea.830555
title: Physical oceanography during towed CTD track AL412_129-1 (VCTD5)
DOI: 10.1594/pangaea.807992
title: Physical oceanography during towed CTD track AL374_495-2 (CTD01-2)
DOI: 10.1594/pangaea.830556
title: Physical oceanography during towed CTD track AL412_132-1 (VCTD6)
DOI: 10.1594/pangaea.830557
title: Physical oceanography during towed CTD track AL412_137-1 (VCTD7)
DOI: 10.1594/pangaea.830558
title: Physical oceanography during towed CTD track AL412_140-1 (VCTD8)
DOI: 10.1594/pangaea.830559
title: Physical oceanography during towed CTD track AL412_155-1 (VCTD9)
DOI: 10.1594/pangaea.830560
title: Physical oceanography during towed CTD track AL412_156-1 (VCTD10)
DOI: 10.1594/pangaea.964010
title: Paleogene-Neogene astronomical timescale of a well-log from the western South Atlantic (Espírito Santo Basin)

description: Here we present natural gamma ray (NGR) measured continously through a well-log drilled at the western South Atlantic (Espirito Santo Basin) named ES-2. Biostratigraphic and sequence stratigraphic interpretation identify the well-log as a Paleogene to Neogene section bounded by global sequences Sel1 (Selandian) and Ser4/Tor1 (Serravalian/Tortonian). Within this interval a high-resolution cyclostratigraphic framework was conducted to build an astronomical time scale. The identification of the orbital spectral conented is made through null-hypothesis test, such as Average Spectral Misfit (ASM), Correlation Coefficient (COCO) and Time Optimization (TimeOpt). Integrated prediction error filter (INPEFA) is used to recognize main depositional sequences. When INPEFA is tuned to the high-resolution orbital age model a very coherent astronomical deposition is revealed forced by long (405-kyr) and short (~100-kyr) eccentricity and periods of obliquity (~41-kyr). Very long amplitude modulation (AM) of eccentricity and obliquity are identified. These set of orbital forcing likely appear as a result of sea-level fluctuation and determine the stacking pattern.
DOI: 10.1594/pangaea.964551
title: Highly productive ice algae mats in Arctic melt ponds: Implications for primary production and carbon turnover

description: As the Arctic warms, the historic functioning of local ecosystems is changing in new and not always anticipated ways. One such change is the appearance and expansion of ice algal mats in the melt ponds of northern Svalbard. An expedition to this remote part of the planet was launched in July 2004 to measure the productivity of this new type of mat. Data were collected using oxygen micro electrodes, PAR sensors, and the visual analysis of samples via microscope. This dataset contains the oxygen profiles from this research. Also included are the surface temperature and salt concentrations for each core.
DOI: 10.5281/zenodo.10652461
title: TSWD Assessment task data- Indonesian Language enrolments Victorian Government Secondary Schools 2005-2020
DOI: 10.5281/zenodo.10652460
title: TSWD Assessment task data- Indonesian Language enrolments Victorian Government Secondary Schools 2005-2020
DOI: 10.5281/zenodo.10633480
title: Supplementary materials for ''Universal scaling for turbulent air-jet impact on granular surfaces''

description: We performed an experimental study on air-jet impact on granular surfaces.

This dataset includes videos, images, and supplementary text obtained from our research on the air-jet impact on granular surfaces.
DOI: 10.5281/zenodo.10633481
title: Supplementary materials for ''Universal scaling for turbulent air-jet impact on granular surfaces''

description: We performed an experimental study on air-jet impact on granular surfaces.

This dataset includes videos, images, and supplementary text obtained from our research on the air-jet impact on granular surfaces.
DOI: 10.5517/ccdc.csd.cc2d235s
title: CCDC 2206554: Experimental Crystal Structure Determination

description: Related Article: Yu-Fei Song, Kai-Cheng Yan, Pan Liu, Wei-Na Wu, Xiao-Lei Zhao, Naing Thet, Yuan Wang, Yun-Chang Fan, Zhi-Hong Xu, Tony D. James, A. Toby A. Jenkins|2024|Sens.Actuators,B|405|135284|doi:10.1016/j.snb.2024.135284
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d23cz
title: CCDC 2206560: Experimental Crystal Structure Determination

description: Related Article: Yu-Fei Song, Kai-Cheng Yan, Pan Liu, Wei-Na Wu, Xiao-Lei Zhao, Naing Thet, Yuan Wang, Yun-Chang Fan, Zhi-Hong Xu, Tony D. James, A. Toby A. Jenkins|2024|Sens.Actuators,B|405|135284|doi:10.1016/j.snb.2024.135284
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10106304
title: Regulation of dye peroxidas gene expression in Pleurotus ostreatus grown on glycerol as the carbon source

description: This dataset contains the raw data and code necessary to reproduce the results of: Regulation of dye peroxidas gene expression in Pleurotus ostreatus grown on glycerol as the carbon source
description: The data for Figures 2, 3, and 5 can be found in the file named "Data_PleosGrowthCurves_CarbonConsumption_EnzymaticActivity.csv." To analyze this dataset, you can use the R MarkDown script titled "Figures_Pleos_GrowthCurves_CarbonConsumption_EnzymaticActivity.Rmd."
For Figure 4, the corresponding data is available in the Excel file named "Data_DecolorizationAYG.xlsx."
As for Figure 6, the relevant data is provided in the Excel file named "Data_GeneExpression_Pleos-DyeP.xlsx." To process this dataset, you can utilize the R script named "Figure6_HeatMapGeneExpression.R."
DOI: 10.6084/m9.figshare.24306493.v1
title: <i>Wickerhamiella koratensis</i> sp. nov. and <i>Wickerhamiella limtongiae</i> sp. nov. - <i>de novo</i> assembly

description: Phylogenomic delineation of two new species of ascomycetous yeasts - <i>Wickerhamiella koratensis</i> sp. nov. and <i>Wickerhamiella limtongiae</i> sp. nov. - and proposal of two synonyms - <i>Wickerhamiella infanticola</i> and <i>Wickerhamiella tropicalis.</i>
DOI: 10.34740/kaggle/dsv/7614844
title: WallStreetBets 2022
DOI: 10.15468/9t4tft
title: A Checklist of North Korean Vascular Plants

description: The database of Vascular Plants of North Korea is a compilation of the native and naturalized pteridophytes, conifers, and flowering plants recorded in North Korea. It represents an updating of the floral listings. Since then numerous taxonomic and resultant nomenclatural changes have been proposed by the recent revisionary studies, often with molecular data inputs reinterpreting classification. We have consulted the recent publication of Generic Flora of Korea (Park et al., 2007), and the plant database, which called the 'Korea Plant Names Index' at Korea National Arboretum (2017). 

When personal experience concerning particular plant groups contradicted recent innovations, however, our preferred alternative taxonomic interpretations are followed in this catalogue.
The flora of North Korea is probably one of the lesser-known floras in northeastern Asia. Although various flora books were published in North Korea about 20 years ago, the comprehensive checklist of North Korean plants has not been published yet. Since recent plant collections from this country do not span well for more than 80 years, no extensive and comprehensive accounts of its flora exist. Unfortunately, we have not reevaluated records known only from 50 years ago or longer. 

All taxa are linked to a Cronquist classification, rather than the APG system. Invalidly published names and illegitimate names were excluded here

Finally, we thank the Korea National Arboretum and the GBIF for their continued encouragement and support of this project. This checklist was developed using the BRAHMS (Botanical Research And Herbarium Management System).
DOI: 10.5281/zenodo.10652480
title: The highest mass Kepler red giants— I. Global asteroseismic parameters of 48 stars

description: An extended version of Table 1 of C. Crawford et al. 2024: The highest mass Kepler red giants— I. Global asteroseismicparameters of 48 stars
DOI: 10.5281/zenodo.10652481
title: The highest mass Kepler red giants— I. Global asteroseismic parameters of 48 stars

description: An extended version of Table 1 of C. Crawford et al. 2024: The highest mass Kepler red giants— I. Global asteroseismicparameters of 48 stars
DOI: 10.6084/m9.figshare.25209830
title: Chromosome-scale genome assembly of <i>Camellia </i><i>crapnelliana</i> provides insights into the fatty acid biosynthesis

description: Chromosome-scale genome assembly of <i>Camellia </i><i>crapnelliana</i>
DOI: 10.6084/m9.figshare.25209830.v1
title: 染色体规模基因组组装 <i>山茶</i><i>crapnelliana</i> provides insights into the fatty acid biosynthesis

description: Chromosome-scale genome assembly of <i>Camellia </i><i>crapnelliana</i>
DOI: 10.5281/zenodo.10652484
title: "Adjusting Catalytic Activity of β-amyrin Synthase GgBAS by Utilizing the Plasticity Residues of Active Site

description: The simulation results of GgBAS, including the output PDB files of stages B, C, and D for both the wild type and mutations ; analysis contains input files, parameter files;stageD contains topology files;
DOI: 10.5281/zenodo.10652485
title: "Adjusting Catalytic Activity of β-amyrin Synthase GgBAS by Utilizing the Plasticity Residues of Active Site

description: Ggbas MD simulation; analysis contains input files, parameter files;stageD contains topology files;
DOI: 10.5281/zenodo.10652506
title: "Adjusting Catalytic Activity of β-amyrin Synthase GgBAS by Utilizing the Plasticity Residues of Active Site

description: The simulation results of GgBAS, including the output PDB files of stages B, C, and D for both the wild type and mutations ; analysis contains input files, parameter files;stageD contains topology files;