cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3922147
title: Ionic composition of particulate matter (PM10) from high-volume sampling over the Southern Ocean during the austral summer of 2016/2017 on board the Antarctic Circumnavigation Expedition (ACE).

description: <strong>Dataset abstract</strong> Aerosol particles originate from a variety of sources (Tomasi and Lupi, 2017). Information on particle chemical composition can be utilized to access particle origin. During the Antarctic Circumnavigation Expedition (ACE) cruise around the Southern Ocean, off-line filter sampling of ambient air was performed. Filters were stored on the ship (at -20 degrees C) and after the cruise concluded analysed at Leibniz-Institute for Tropospheric Research (TROPOS) concerning ionic composition of sampled material. Here, we give mass concentrations for inorganic ions (chloride, sodium, potassium, magnesium, calcium, ammonium, nitrate, sulphate, and bromide), organic constituents (methane-sulfonic acid and oxalate), and total filter load of particles with a mobility diameter smaller 10 micrometers (PM10) for each 24 hour-sampled filter. <strong>Dataset contents</strong> ACESPACE_particulate_matter_pm10_ionic_composition_highvolume.csv, data file, comma-separated values data_file_header.txt, metadata, text README.txt, metadata, text <strong>Dataset license</strong> This ionic composition of particulate matter (PM10) from high-volume sampling dataset during ACE is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/
description: ACE was a scientific expedition carried out under the auspices of the Swiss Polar Institute, supported by funding from the ACE Foundation and Ferring Pharmaceuticals. This work was supported by the Deutsche Forschungsgemeinschaft (DFG) in the framework of the priority programme "Antarctic Research with comparative investigations in the Arctic sea ice areas" SPP 1158 (grant STR 453/12-1).
description: {"references": ["M\u00fcller, K., Lehmann, S., Van Pinxteren, D., Gnauk, T., Niedermeier, N., Wiedensohler, A., & Herrmann, H. (2010). Particle characterization at the Cape Verde atmospheric observatory during the 2007 RHaMBLe intensive. https://doi.org/10.5194/acp-10-2709-2010", "Tomasi, C., & Lupi, A. (2017). Primary and secondary sources of atmospheric aerosol. Atmospheric Aerosols; Wiley-VCH Verlag GmbH & Co. KGaA: Weinheim, Germany. https://doi.org/10.1002/9783527336449.ch1", "Van Pinxteren, M., Barthel, S., Fomba, K. W., M\u00fcller, K., Von T\u00fcmpling, W., & Herrmann, H. (2017). The influence of environmental drivers on the enrichment of organic carbon in the sea surface microlayer and in submicron aerosol particles\u2013measurements from the Atlantic Ocean. Elementa: Science of the Anthropocene, 5, 35. https://doi.org/10.1525/elementa.225", "Walton, D. W. H & Thomas, J. 2018. Cruise Report - Antarctic Circumnavigation Expedition (ACE) 20th December 2016 - 19th March 2017. Swiss Polar Institute, Switzerland, 380 pages. https://doi.org/10.5281/zenodo.1443511"]}
DOI: 10.5281/zenodo.3922146
title: Ionic composition of particulate matter (PM10) from high-volume sampling over the Southern Ocean during the austral summer of 2016/2017 on board the Antarctic Circumnavigation Expedition (ACE).

description: <strong>Dataset abstract</strong> Aerosol particles originate from a variety of sources (Tomasi and Lupi, 2017). Information on particle chemical composition can be utilized to access particle origin. During the Antarctic Circumnavigation Expedition (ACE) cruise around the Southern Ocean, off-line filter sampling of ambient air was performed. Filters were stored on the ship (at -20 degrees C) and after the cruise concluded analysed at Leibniz-Institute for Tropospheric Research (TROPOS) concerning ionic composition of sampled material. Here, we give mass concentrations for inorganic ions (chloride, sodium, potassium, magnesium, calcium, ammonium, nitrate, sulphate, and bromide), organic constituents (methane-sulfonic acid and oxalate), and total filter load of particles with a mobility diameter smaller 10 micrometers (PM10) for each 24 hour-sampled filter. <strong>Dataset contents</strong> ACESPACE_particulate_matter_pm10_ionic_composition_highvolume.csv, data file, comma-separated values data_file_header.txt, metadata, text README.txt, metadata, text <strong>Dataset license</strong> This ionic composition of particulate matter (PM10) from high-volume sampling dataset during ACE is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/
description: ACE was a scientific expedition carried out under the auspices of the Swiss Polar Institute, supported by funding from the ACE Foundation and Ferring Pharmaceuticals. This work was supported by the Deutsche Forschungsgemeinschaft (DFG) in the framework of the priority programme "Antarctic Research with comparative investigations in the Arctic sea ice areas" SPP 1158 (grant STR 453/12-1).
description: {"references": ["M\u00fcller, K., Lehmann, S., Van Pinxteren, D., Gnauk, T., Niedermeier, N., Wiedensohler, A., & Herrmann, H. (2010). Particle characterization at the Cape Verde atmospheric observatory during the 2007 RHaMBLe intensive. https://doi.org/10.5194/acp-10-2709-2010", "Tomasi, C., & Lupi, A. (2017). Primary and secondary sources of atmospheric aerosol. Atmospheric Aerosols; Wiley-VCH Verlag GmbH & Co. KGaA: Weinheim, Germany. https://doi.org/10.1002/9783527336449.ch1", "Van Pinxteren, M., Barthel, S., Fomba, K. W., M\u00fcller, K., Von T\u00fcmpling, W., & Herrmann, H. (2017). The influence of environmental drivers on the enrichment of organic carbon in the sea surface microlayer and in submicron aerosol particles\u2013measurements from the Atlantic Ocean. Elementa: Science of the Anthropocene, 5, 35. https://doi.org/10.1525/elementa.225", "Walton, D. W. H & Thomas, J. 2018. Cruise Report - Antarctic Circumnavigation Expedition (ACE) 20th December 2016 - 19th March 2017. Swiss Polar Institute, Switzerland, 380 pages. https://doi.org/10.5281/zenodo.1443511"]}
DOI: 10.5281/zenodo.3937559
title: Submitted Completed pointings to the Gravitational Wave Treasure Map for event TEST_EVENT

description: Attached in a .json file is the completed pointing information for 6 observation(s) for the EM counterpart search associated with the gravitational wave event TEST_EVENT. These observations were taken on the DECam instrument.
DOI: 10.5281/zenodo.3937558
title: Submitted Completed pointings to the Gravitational Wave Treasure Map for event TEST_EVENT

description: Attached in a .json file is the completed pointing information for 6 observation(s) for the EM counterpart search associated with the gravitational wave event TEST_EVENT. These observations were taken on the DECam instrument.
DOI: 10.5066/p9s4wqhu
title: Tabular data for selected items from the Census of Agriculture for the period 1950-2017 for counties in the conterminous United States

description: This product provides tabular data from the U.S. Department of Agriculture (USDA) Census of Agriculture for selected items for the period 1950-2017 for counties in the conterminous United States. Data from 1950-2012 are taken from LaMotte (2015) and 2017 data are retrieved from the USDA QuickStats online tool. Data which are withheld in the Census of Agriculture are filled with estimates. The data include crop production values for 12 commodities (for example, corn in bushels), land use values for 7 land use types (for example, acres of total cropland), and 9 values for livestock types (for example, number of hogs and pigs). The data are largely intended as a 2017 update to the LaMotte dataset for items of research interest. LaMotte, A.E., 2015, Selected items from the Census of Agriculture at the county level for the conterminous United States, 1950-2012: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F7H13016.
DOI: 10.5281/zenodo.3937572
title: Tables included in the study regarding artificial intelligence

description: Due to the number of included studies, the tables content is too big to present it briefly inside the manuscript, please read them in the form of supplementary material.
DOI: 10.5281/zenodo.3937571
title: Tables included in the study regarding artificial intelligence

description: Due to the number of included studies, the tables content is too big to present it briefly inside the manuscript, please read them in the form of supplementary material.
DOI: 10.5281/zenodo.3886432
title: The Scrapbook of Osmo Lindeman: catalogued and annotated contents with sample pictures

description: The dataset consists of catalogued and annotated contents of a scrapbook of Finnish composer Osmo Lindeman (1929-1987) with a few sample pictures of the book for preview.
DOI: 10.5281/zenodo.3886431
title: The Scrapbook of Osmo Lindeman: catalogued and annotated contents with sample pictures

description: The dataset consists of catalogued and annotated contents of a scrapbook of Finnish composer Osmo Lindeman (1929-1987) with a few sample pictures of the book for preview.
DOI: 10.5281/zenodo.3937564
title: Aerosol 3-DVAR source code and Lidar data

description: The code of this system can be obtained on request from the corresponding author
DOI: 10.5281/zenodo.3937563
title: Aerosol 3-DVAR source code and Lidar data

description: The code of this system can be obtained on request from the corresponding author
DOI: 10.7910/dvn/cl0ru2/wug2ow
title: Replication Script.R

description: :unav
DOI: 10.7910/dvn/cl0ru2/eml0db
title: Codebook for Data.pdf

description: :unav
DOI: 10.7910/dvn/2mqjjl/plcd00
title: 1 evs_wvs.do

description: :unav
DOI: 10.7910/dvn/2mqjjl/cmjtdw
title: 6 append evswvsgss_newEVS_wvs6.do

description: :unav
DOI: 10.5281/zenodo.3827971
title: Spectral Dataset for Laboratory mixtures supporting research on Vera Rubin Ridge, Gale Crater, Mars

description: <strong>Summary</strong> This dataset contains spectral reflectance values for laboratory mixtures that were created and analyzed at Arizona State University. These mixtures were made by combining red crystalline hematite, plagioclase, clinopyroxene (augite), and nontronite in varying abundances to understand how the spectral features are affected by variations in mineral abundances. Various files are described below. <strong>Contents</strong> <strong>SJacob_ASD_Mixture_Data.zip:</strong> full spectral reflectance data from the spectrometer at ASU for all mixtures discussed in the paper. <strong>SJacob_Lab_Mixture_parameters.xlsx:</strong> an excel sheet documenting the abundances of each mineral in the various mixtures that were created. This file also includes band depth parameters that were calculated for each mixture and some corresponding plots. <strong>SJacob_SupplementaryTables.xlsx:</strong> file contains two tables that list the Mastcam and ChemCam observations (with sequence IDs) that were used in the main paper and the associated sol on which the observation was taken. <strong>Attribution</strong> If you use this dataset, please cite this DOI: 10.5281/zenodo.3827971 as well as the paper below: Jacob et al. (2020) Spectral, Compositional, and Physical Properties of the Upper Murray Formation and Vera Rubin Ridge, Gale Crater, Mars. In review at Journal of Geophysical Research: Planets.
DOI: 10.5281/zenodo.3827970
title: Spectral Dataset for Laboratory mixtures supporting research on Vera Rubin Ridge, Gale Crater, Mars

description: <strong>Summary</strong> This dataset contains spectral reflectance values for laboratory mixtures that were created and analyzed at Arizona State University. These mixtures were made by combining red crystalline hematite, plagioclase, clinopyroxene (augite), and nontronite in varying abundances to understand how the spectral features are affected by variations in mineral abundances. Various files are described below. <strong>Contents</strong> <strong>SJacob_ASD_Mixture_Data.zip:</strong> full spectral reflectance data from the spectrometer at ASU for all mixtures discussed in the paper. <strong>SJacob_Lab_Mixture_parameters.xlsx:</strong> an excel sheet documenting the abundances of each mineral in the various mixtures that were created. This file also includes band depth parameters that were calculated for each mixture and some corresponding plots. <strong>SJacob_SupplementaryTables.xlsx:</strong> file contains two tables that list the Mastcam and ChemCam observations (with sequence IDs) that were used in the main paper and the associated sol on which the observation was taken. <strong>Attribution</strong> If you use this dataset, please cite this DOI: 10.5281/zenodo.3827971 as well as the paper below: Jacob et al. (2020) Spectral, Compositional, and Physical Properties of the Upper Murray Formation and Vera Rubin Ridge, Gale Crater, Mars. In review at Journal of Geophysical Research: Planets.
DOI: 10.5519/qd.vvjkllte
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1346376 records)
DOI: 10.5281/zenodo.3791608
title: Dataset: Environmental drivers of under-ice phytoplankton bloom dynamics in the Arctic Ocean

description: This dataset is linked to this manuscript entitled "Environmental drivers of under-ice phytoplankton bloom dynamics in the Arctic Ocean" published in Elementa: Science of the Anthropocene (http://doi.org/10.1525/elementa.430). Please find the abstract below: The decline of sea-ice thickness, area, and volume due to the transition from multi-year to first-year sea ice improves the under-ice light environment for pelagic Arctic ecosystems. One unexpected and direct consequence of this transition, the proliferation of under-ice phytoplankton blooms (UIBs), challenges the paradigm that waters beneath the ice pack harbor little planktonic life. Little is known about the diversity and spatial distribution of UIBs in the Arctic Ocean, or the environmental drivers behind their timing, magnitude, and species composition. Here, we compiled a unique and comprehensive dataset from seven major research projects in the Arctic Ocean (11 expeditions, covering the spring sea-ice-covered period to summer ice-free conditions) to identify the environmental drivers responsible for initiating and shaping the magnitude and assemblage structure of UIBs. The temporal dynamics behind UIB formation related to the ways that snow and sea-ice conditions impact the under-ice light field. In particular, the onset of snowmelt significantly increased under-ice light availability (&gt; 0.1–0.2 mol photons m<sup>–2</sup> d<sup>–1</sup>), marking the concomitant termination of the sea-ice algal bloom and initiation of UIBs. At the pan-Arctic scale, bloom magnitude (expressed as maximum chlorophyll <em>a </em>concentration) was predicted best by winter water Si(OH)<sub>4</sub> and PO<sub>4</sub><sup>3–</sup> concentrations, as well as Si(OH)<sub>4</sub>:NO<sub>3</sub><sup>–</sup> and PO<sub>4</sub><sup>3–</sup>:NO<sub>3</sub><sup>–</sup><sub> </sub>drawdown ratios, but not NO<sub>3</sub><sup>–</sup> concentration. Two main phytoplankton assemblages dominated UIBs (diatoms or <em>Phaeocystis</em>), driven primarily by the winter nitrate:silicate (NO<sub>3</sub><sup>–</sup>:Si(OH)<sub>4</sub>) ratio and the under-ice light climate. <em>Phaeocystis</em> co-dominated in low Si(OH)<sub>4</sub> (i.e., NO<sub>3</sub>:Si(OH)<sub>4</sub> molar ratios &gt; 1) waters, while diatoms contributed the bulk of UIB biomass when Si(OH)<sub>4</sub> was high (i.e., NO<sub>3</sub>:Si(OH)<sub>4</sub> molar ratios &lt; 1). The implications of such differences in UIB composition could have important ramifications for Arctic biogeochemical cycles, and ultimately impact carbon flow to higher trophic levels and the deep ocean.
description: {"references": ["Ardyna, M., Mundy, C.J., Mills, M.M., Oziel, L., Grondin, P.-L., Lacour, L., Verin, G., Van Dijken, G., Ras, J., Alou-Font, E., Babin, M., Gosselin, M., Tremblay, J.-\u00c9., Raimbault, P., Assmy, P., Nicolaus, M., Claustre, H. and Arrigo, K.R., 2020. Environmental drivers of under-ice phytoplankton bloom dynamics in the Arctic Ocean. Elem Sci Anth, 8(1), p.30. DOI: http://doi.org/10.1525/elementa.430"]}
DOI: 10.5281/zenodo.3791607
title: Dataset: Environmental drivers of under-ice phytoplankton bloom dynamics in the Arctic Ocean

description: This dataset is linked to this manuscript entitled "Environmental drivers of under-ice phytoplankton bloom dynamics in the Arctic Ocean" published in Elementa: Science of the Anthropocene (http://doi.org/10.1525/elementa.430). Please find the abstract below: The decline of sea-ice thickness, area, and volume due to the transition from multi-year to first-year sea ice improves the under-ice light environment for pelagic Arctic ecosystems. One unexpected and direct consequence of this transition, the proliferation of under-ice phytoplankton blooms (UIBs), challenges the paradigm that waters beneath the ice pack harbor little planktonic life. Little is known about the diversity and spatial distribution of UIBs in the Arctic Ocean, or the environmental drivers behind their timing, magnitude, and species composition. Here, we compiled a unique and comprehensive dataset from seven major research projects in the Arctic Ocean (11 expeditions, covering the spring sea-ice-covered period to summer ice-free conditions) to identify the environmental drivers responsible for initiating and shaping the magnitude and assemblage structure of UIBs. The temporal dynamics behind UIB formation related to the ways that snow and sea-ice conditions impact the under-ice light field. In particular, the onset of snowmelt significantly increased under-ice light availability (&gt; 0.1–0.2 mol photons m<sup>–2</sup> d<sup>–1</sup>), marking the concomitant termination of the sea-ice algal bloom and initiation of UIBs. At the pan-Arctic scale, bloom magnitude (expressed as maximum chlorophyll <em>a </em>concentration) was predicted best by winter water Si(OH)<sub>4</sub> and PO<sub>4</sub><sup>3–</sup> concentrations, as well as Si(OH)<sub>4</sub>:NO<sub>3</sub><sup>–</sup> and PO<sub>4</sub><sup>3–</sup>:NO<sub>3</sub><sup>–</sup><sub> </sub>drawdown ratios, but not NO<sub>3</sub><sup>–</sup> concentration. Two main phytoplankton assemblages dominated UIBs (diatoms or <em>Phaeocystis</em>), driven primarily by the winter nitrate:silicate (NO<sub>3</sub><sup>–</sup>:Si(OH)<sub>4</sub>) ratio and the under-ice light climate. <em>Phaeocystis</em> co-dominated in low Si(OH)<sub>4</sub> (i.e., NO<sub>3</sub>:Si(OH)<sub>4</sub> molar ratios &gt; 1) waters, while diatoms contributed the bulk of UIB biomass when Si(OH)<sub>4</sub> was high (i.e., NO<sub>3</sub>:Si(OH)<sub>4</sub> molar ratios &lt; 1). The implications of such differences in UIB composition could have important ramifications for Arctic biogeochemical cycles, and ultimately impact carbon flow to higher trophic levels and the deep ocean.
description: {"references": ["Ardyna, M., Mundy, C.J., Mills, M.M., Oziel, L., Grondin, P.-L., Lacour, L., Verin, G., Van Dijken, G., Ras, J., Alou-Font, E., Babin, M., Gosselin, M., Tremblay, J.-\u00c9., Raimbault, P., Assmy, P., Nicolaus, M., Claustre, H. and Arrigo, K.R., 2020. Environmental drivers of under-ice phytoplankton bloom dynamics in the Arctic Ocean. Elem Sci Anth, 8(1), p.30. DOI: http://doi.org/10.1525/elementa.430"]}
DOI: 10.7910/dvn/erszur/nisebu
title: MixingMessages_ReplicationCode.do

description: :unav
DOI: 10.7910/dvn/erszur/pci5vj
title: MixingMessages_Data.tab

description: :unav
DOI: 10.5281/zenodo.3937619
title: Submitted Completed pointings to the Gravitational Wave Treasure Map for event TEST_EVENT

description: Attached in a .json file is the completed pointing information for 26 observation(s) for the EM counterpart search associated with the gravitational wave event TEST_EVENT. These observations were taken on the DECam instrument.
DOI: 10.5281/zenodo.3937618
title: Submitted Completed pointings to the Gravitational Wave Treasure Map for event TEST_EVENT

description: Attached in a .json file is the completed pointing information for 26 observation(s) for the EM counterpart search associated with the gravitational wave event TEST_EVENT. These observations were taken on the DECam instrument.
DOI: 10.5066/p9eoefol
title: Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in Black Creek, Indiana, tributary to the Maumee River and western Lake Erie - Fluvial-target samples

description: This data release includes physical and chemical data for samples from fluvial targets (streambed and suspended sediment) from three sampling sites in the Black Creek basin, Indiana. Data include total nitrogen and carbon concentrations, carbon species, total concentrations for 42 metals, and particle-size analysis. Fluvial-target samples include both soft, streambed sediment and streamflow-integrated, monthly, suspended-sediment samples for water year 2018. These data are used for source attribution in order to quantify the proportional contribution of individual sources to suspended sediment in the basin [Williamson et al. in revision].
DOI: 10.5281/zenodo.3937396
title: Preprocessed and Harmonised Transcriptomics Datasets for Psoriasis and Atopic Dermatitis

description: The datasets uploaded within this record contain transcriptomics data of psoriasis and atopic dermatitis patients retrieved from the NCBI Gene Expression Omnibus and EBI ArrayExpress repositories. Overall, we retrieved 39 transcriptomics datasets, produced through both DNA microarrays and RNA-Sequencing technologies, along with relative meta-data tables. After data collection, each dataset was quality checked and preprocessed in order to obtain a harmonised source of data, ready-to-use for the research community. Beside, a thorough quality check was carried out on the retrieved meta-data, and data dictionaries were created (both for DNA microarry and RNA-Seq datasets) in order to homogenise the phenotypic data, enabling the comparability across the datasets.
DOI: 10.18112/openneuro.ds002674.v1.0.3
title: 28andMe
DOI: 10.5281/zenodo.3830088
title: Simulated data and results from "Accurate quantification of copy-number aberrations and whole-genome duplications in multi-sample tumor sequencing data"

description: This dataset contains all the simulated data and the results of all the considered methods in the benchmark presented in "Accurate quantification of copy-number aberrations and whole-genome duplications in multi-sample tumor sequencing data" [Zaccaria & Raphael, 2018]. All the data in this dataset and the corresponding formats are fully described at https://github.com/raphael-group/hatchet-paper. The folder <em>simulations</em> which contains the entire dataset has been compressed with standard <em>zip</em>.
DOI: 10.5281/zenodo.3830087
title: Simulated data and results from "Accurate quantification of copy-number aberrations and whole-genome duplications in multi-sample tumor sequencing data"

description: This dataset contains all the simulated data and the results of all the considered methods in the benchmark presented in "Accurate quantification of copy-number aberrations and whole-genome duplications in multi-sample tumor sequencing data" [Zaccaria & Raphael, 2018]. All the data in this dataset and the corresponding formats are fully described at https://github.com/raphael-group/hatchet-paper. The folder <em>simulations</em> which contains the entire dataset has been compressed with standard <em>zip</em>.
DOI: 10.5066/p9dss3vl
title: The US Geological Survey Pollinator Library dataset