cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25346/s6/lfs4h9/195znz
title: OSM3.4.txt

description: OxCal code associated with the kernel density estimation model that includes 648 radiocarbon measurements presented in Sinensky et al. (2022) Figures 5, 9c and S2. We ran the model in September of 2020 in OxCal v.4.4.2 using the IntCal20 calibration curve.
DOI: 10.25346/s6/lfs4h9/f5nk5c
title: OSM3_READ_ME.txt

description: READ ME text file describing the data presented in OSM 3.0-3.6.
DOI: 10.25346/s6/lfs4h9/akz5pk
title: OSM3.0.tab

description: A database with pertinent details for each of the 842 radiocarbon dates included in our analysis, including lab numbers, site numbers, material type descriptions, measurements, standard errors, calibrated 68.3% and 95.4% ranges (using the IntCal20 calibration curve) and citation information for each measurement.
DOI: 10.25346/s6/lfs4h9/qzoclm
title: references_cited.txt

description: References cited text file for citations included in OSM 3.0.
DOI: 10.25346/s6/lfs4h9/vzgykc
title: OSM3.2.txt

description: OxCal code associated with the overlapping phase Bayesian model presented in Sinensky et al. (2022) Figures 7 and S4. We ran the model in September of 2020 in OxCal v.4.4.2 using the IntCal20 calibration curve.
DOI: 10.25346/s6/lfs4h9/7vbqld
title: OSM3.6.txt

description: OxCal code associated with the kernel density estimation model that includes 343 radiocarbon measurements presented in Sinensky et al. (2022) Figures 5 and S2. We ran the model in September of 2020 in OxCal v.4.4.2 using the IntCal20 calibration curve.
DOI: 10.25346/s6/lfs4h9/n4uy5u
title: OSM3.3.tab

description: OxCal output for the kernel density estimation model that includes 648 radiocarbon measurements presented in Sinensky et al. (2022) Figures 5, 9c and S2. We ran the model in September of 2020 in OxCal v.4.4.2 using the IntCal20 calibration curve.
DOI: 10.25346/s6/lfs4h9/7awso8
title: OSM3.0.tab

description: Pertinent details for each of the 842 radiocarbon dates included in our analyses, including lab numbers, site numbers, material type descriptions, measurements, standard errors, calibrated 68.3% and 95.4% probability ranges (using the IntCal20 calibration curve) and citation information. Please contact the author to request access to these data.
DOI: 10.25346/s6/lfs4h9/2vjzbd
title: OSM3_READ_ME.txt

description: READ ME text file describing the data presented in OSM 3.0-3.6.
DOI: 10.25346/s6/lfs4h9/m3fxrg
title: references_cited.txt

description: References cited text file for citations included in OSM 3.0.
DOI: 10.25346/s6/lfs4h9
title: Radiocarbon database and replication data associated with analyses in OxCal presented in: Volcanic climate forcing, extreme cold and the Neolithic Transition in the northern US Southwest

description: OSM 3 contains radiocarbon data, output from radiocarbon models and the code necessary to replicate radiocarbon analyses presented in Sinensky et al. (2022): Volcanic climate forcing, extreme cold and the Neolithic Transition in the northern US Southwest.
DOI: 10.6084/m9.figshare.19134971.v1
title: Superior bone mineral density and microstructure in patients with Gitelman syndrome

description: supplementary materials of the article "Superior bone mineral density and microstructure in patients with Gitelman syndrome"
DOI: 10.7481/1787485
title: U.S. Indirect and Direct Potable Water Reuse Systems (2020)

description: Collection of proposed, operating, demonstration, and pilot study potable reuse systems across the U.S. as of 2020. Information includes project name, location, augmentation type, capacity, year operational, treatment train, and source water type. References are included in this submission. As potable reuse facilities undergo expansions or upgrades, treatment trains and capacities are subject to change. Operational status may also change. Treatment trains listed are reported to the detail that the source provides. Type and doses of chemical post-treatment or chlorination is often not specified. Please see README section in spreadsheet for definitions of acronyms used.
DOI: 10.5519/qd.t9sgnrzs
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.19134959
title: COVID-19 mortality data from death certificates SEED

description: COVID-19 mortality data from death certificates from the Statistical and Epidemiological System for Deaths used for the analysis: SARS-CoV-2 infection fatality rate after the first epidemic wave in Mexico<b></b>
DOI: 10.6084/m9.figshare.19134959.v1
title: COVID-19 mortality data from death certificates SEED

description: COVID-19 mortality data from death certificates from the Statistical and Epidemiological System for Deaths used for the analysis: SARS-CoV-2 infection fatality rate after the first epidemic wave in Mexico<b></b>
DOI: 10.25346/s6/n3rvlc
title: Replication data and code for analyses in R presented in: Volcanic climate forcing, extreme cold and the Neolithic Transition in the northern US Southwest

description: Online Supplemental Material 2 (OSM 2) contains the data and code necessary to generate Figures 3-6, 8-9, S1 and S5-S6 presented in Sinensky et al. (2022). The R Markdown document (OSM 2.0) will render these figures using the data provided in OSM 2.1-2.6.
DOI: 10.5439/1840519
title: Liquid-bearing clouds 5-day back-trajectories

description: The data set contains 5-day back-trajectory calculations for cloud layers detected in the MOSAiC sounding data set. The calculations were performed by HYSPLIT informed by ERA5. In addition to trajectory coordinates and altitudes, the data set includes diagnostic and atmospheric state variables along the trajectories as well as trajectory cluster numbers associated with each airmass per Silber and Shupe,2022.
DOI: 10.5281/zenodo.5968035
title: treatment using dendritic cell for CBAVD

description: This is the statistic result of treatemnet of patients with CBAVD using dendritic cells
DOI: 10.5281/zenodo.5968034
title: treatment using dendritic cell for CBAVD

description: This is the statistic result of treatemnet of patients with CBAVD using dendritic cells
DOI: 10.5281/zenodo.6002512
title: Exposome Chemicals without MS data in the public domain

description: List of high priority exposome chemicals that lack mass spectral data in public mass spectral repositories and the NIST MS 2020 database. Some of them are not amenable to mass spectrometry instruments. These compounds should be candidates for MS library expansion projects in exposome.
DOI: 10.5281/zenodo.6002511
title: Exposome Chemicals without MS data in the public domain

description: List of high priority exposome chemicals that lack mass spectral data in public mass spectral repositories and the NIST MS 2020 database. Some of them are not amenable to mass spectrometry instruments. These compounds should be candidates for MS library expansion projects in exposome.
DOI: 10.11577/1843782
title: Conformational alterations in unidirectional ion transport of a light-driven chloride pump revealed using X-ray free electron lasers

description: Please check the README file for more information about the dataset.
DOI: 10.15473/1843795
title: Millinocket Stream, Maine Velocity and Bathymetry Measurements 2021

description: ORPC staff collected site characterization data on Millinocket Stream, downstream of the hydropower station at the former Great Northern Paper Mill site in Millinocket, Maine. Bathymetry was collected with a SonTek M9 using HydroSurveyor software package and velocity was collected using the SonTek M9 RiverSurveyor software package. Bathymetry only was collected on 9/30/21. Bathymetry and velocity were collected on 10/21/21.
DOI: 10.15473/1843796
title: Motion Tracking Above and Below Water Dataset

description: This data set includes one trial of above and under water motion tracking measurements from a Qualysis motion tracking system. The Qualisys native .qtm file can be opened by the Qualisys Track Manager software. Data from this file has been exported to a tab separated value (.tsv) file which is a generic ASCII file format that can be read by a text editor, MATLAB, Excel, etc... Also exported is a native MATLAB formatted file (.mat) which can be loaded directly into MATLAB. The trial is from a three body wave energy converter device, using the underwater system for the central nacelle data, and above water system for the fore and aft floats.
DOI: 10.15473/1843799
title: Timeseries Data from the Experimental Testing of the OPI's Prototype Hydraulic Drivetrain.

description: Timeseries data from the experimental testing of the OPI's prototype hydraulic drivetrain. The data is provided in .mat file format. The units for the data can be found in the ReadMe included in the submission resources.
DOI: 10.6084/m9.figshare.16436379.v1
title: Drivers of the live pet trade: the role of species traits, socioeconomic attributes and regulatory systems

description: Dataset and corresponding metadata accompanying the pre-print manuscript 'Drivers of the live pet trade: the role of species traits, socioeconomic attributes and regulatory systems'. This dataset contains the rate of possession, trade, breeding and escapes for each species of captive native pets held in South Australia from 2015-01-01 to 2017-06-30, as well as collated species attributes and regulatory status.<br>
DOI: 10.5281/zenodo.6002685
title: Supplementary files

description: Supplementary files
DOI: 10.5281/zenodo.6002684
title: Supplementary files

description: Supplementary files
DOI: 10.5281/zenodo.4914786
title: Dataset coffee 15 Channels

description: The database has 640 images of cherry coffee fruits in different stages of ripening. This images has captured with a dimension of 224 X 224, and 15 channels (each channel represents a different wavelength). images:<br> Inmadure -&gt; 130<br> Semi-mature -&gt; 160<br> Mature -&gt; 160<br> Overripe -&gt; 112<br> Dry -&gt; 78
DOI: 10.5281/zenodo.4914710
title: Dataset coffee 15 Channels

description: The database has 640 images of cherry coffee fruits in different stages of ripening. This images has captured with a dimension of 224 X 224, and 15 channels (each channel represents a different wavelength). images:<br> Inmadure -&gt; 130<br> Semi-mature -&gt; 160<br> Mature -&gt; 160<br> Overripe -&gt; 112<br> Dry -&gt; 78
DOI: 10.6084/m9.figshare.17877194.v1
title: Data of Comparative Research on Real-time Pose Perception and Tracking Technology of Vision-based Marine Unmanned Underwater Vehicle

description: Data of Comparative Research on Real-time Pose Perception and Tracking Technology of Vision-based Marine Unmanned Underwater Vehicle
DOI: 10.5281/zenodo.6002742
title: Table S1 Full factorial combination of laser process parameters and experimental results.

description: This dataset is experimental results from a research topic of Prediction and optimization of dross formation in laser cutting of electrical steel sheet in different environments.
DOI: 10.5281/zenodo.6002741
title: Table S1 Full factorial combination of laser process parameters and experimental results.

description: This dataset is experimental results from a research topic of Prediction and optimization of dross formation in laser cutting of electrical steel sheet in different environments.
DOI: 10.5281/zenodo.5886866
title: Data for study "Realisation of Paris Agreement pledges may limit warming just below 2°C"

description: This is the data repository with country-level data and individual scenario data for the study “Realisation of Paris Agreement pledges may limit warming just below 2°C”. Please find below a description of the different data sources available. <strong>Emissions Scenario Data (scenarios_12Nov2021a_CR.csv). </strong>The complete set of infilled and extended emissions for each scenario presented in the study. The emissions timeseries span from 2015 to 2100 for 52 emissions species required to run MAGICC7. <strong>Scenario Statistics Table (stats_12Nov2021a_CR_short.csv).</strong> Summary statistics for the scenarios used in the sensitivity study. Statistics available include Exceedance probabilities, peak warming, year of peak warming and warming in 2100. <strong>Supplementary Table S1 (supplementary_table-s1.csv) - </strong>Estimate of total GHG emissions (excl. LULUCF) in 1990, 2010, 2019 and for 2025 and 2030 under the NDCs. The ‘lower’ and ‘higher’ end of the range span the four cases of full implementation and ‘unconditional-only’ NDC quantification, with their respective ranges (e.g. Australia’s 26%-28% target). Historical data based on country-level data in NDCs and PRIMAP-hist CR. Aggregation of CO2, CH4, N2O, HFCs, PFCs, and SF6 emissions performed in GWP-100 AR6 metrics. Note that the common reporting guidelines under the Paris Agreement’s transparency framework currently chose GWP-100 AR5 metric as default (Decision 5/CMA.3, UNFCCC, 2021). <strong>Supplementary Table S2 (supplementary_table-s2.csv) </strong>An estimate of potentially additional methane reductions if the Global Methane Pledge were implemented on a country-by-country level with a 30% reduction. Of the 104 countries signed up by 2 Nov 2018, 101 are here considered (with no sufficient methane data availability for Niue, Palau and Federal State of Micronesia).<strong> </strong> <strong>Scenario Timeseries (timeseries_12Nov2021a_CR.csv). </strong>Surface Temperature and Kyoto Greenhouse Gas emissions excluding CO2 AFOLU for NDC scenarios presented in the study.<strong> </strong> <strong>IEA Scenario Timeseries (timeseries_IEA.csv). </strong>Surface Temperature and Kyoto Greenhouse Gas emissions excluding CO2 AFOLU for the IEA scenarios presented in the study. Contact Jared Lewis &lt;jared.lewis@climate-resource.com&gt; for additional data about the target scenarios.
DOI: 10.5281/zenodo.5728429
title: Data for study "Realisation of Paris Agreement pledges may limit warming just below 2°C"

description: This is the data repository with country-level data and individual scenario data for the study “Realisation of Paris Agreement pledges may limit warming just below 2°C”. Please find below a description of the different data sources available. <strong>Emissions Scenario Data (scenarios_12Nov2021a_CR.csv). </strong>The complete set of infilled and extended emissions for each scenario presented in the study. The emissions timeseries span from 2015 to 2100 for 52 emissions species required to run MAGICC7. <strong>Scenario Statistics Table (stats_12Nov2021a_CR_short.csv).</strong> Summary statistics for the scenarios used in the sensitivity study. Statistics available include Exceedance probabilities, peak warming, year of peak warming and warming in 2100. <strong>Supplementary Table S1 (supplementary_table-s1.csv) - </strong>Estimate of total GHG emissions (excl. LULUCF) in 1990, 2010, 2019 and for 2025 and 2030 under the NDCs. The ‘lower’ and ‘higher’ end of the range span the four cases of full implementation and ‘unconditional-only’ NDC quantification, with their respective ranges (e.g. Australia’s 26%-28% target). Historical data based on country-level data in NDCs and PRIMAP-hist CR. Aggregation of CO2, CH4, N2O, HFCs, PFCs, and SF6 emissions performed in GWP-100 AR6 metrics. Note that the common reporting guidelines under the Paris Agreement’s transparency framework currently chose GWP-100 AR5 metric as default (Decision 5/CMA.3, UNFCCC, 2021). <strong>Supplementary Table S2 (supplementary_table-s2.csv) </strong>An estimate of potentially additional methane reductions if the Global Methane Pledge were implemented on a country-by-country level with a 30% reduction. Of the 104 countries signed up by 2 Nov 2018, 101 are here considered (with no sufficient methane data availability for Niue, Palau and Federal State of Micronesia).<strong> </strong> <strong>Scenario Timeseries (timeseries_12Nov2021a_CR.csv). </strong>Surface Temperature and Kyoto Greenhouse Gas emissions excluding CO2 AFOLU for NDC scenarios presented in the study.<strong> </strong> <strong>IEA Scenario Timeseries (timeseries_IEA.csv). </strong>Surface Temperature and Kyoto Greenhouse Gas emissions excluding CO2 AFOLU for the IEA scenarios presented in the study. Contact Jared Lewis &lt;jared.lewis@climate-resource.com&gt; for additional data about the target scenarios.
DOI: 10.6084/m9.figshare.19134989
title: gellan gum raw data.xlsx

description: <b>Gellan gum prevent non-alcoholic fatty liver disease via improving gut microbiota and metabolites</b>
DOI: 10.34740/kaggle/dsv/3155032
title: BART Ridership
DOI: 10.34740/kaggle/dsv/3155043
title: BART Ridership
DOI: 10.6084/m9.figshare.19134884
title: Source Data

description: This file contains all the data to reproduce the figures in Monaco et al, 2022, Nature Communications.
DOI: 10.6084/m9.figshare.19134884.v1
title: Source Data

description: This file contains all the data to reproduce the figures in Monaco et al, 2022, Nature Communications.
DOI: 10.5281/zenodo.6003088
title: Stratospheric ozone depletion and tropospheric ozone increases drive Southern Ocean interior warming

description: Codes and processed variables to generate Figures 1-6.
DOI: 10.5281/zenodo.6003087
title: Stratospheric ozone depletion and tropospheric ozone increases drive Southern Ocean interior warming

description: Codes and processed variables to generate Figures 1-6.
DOI: 10.6084/m9.figshare.15026455
title: Additional file 10 of Non-coding RNAs in the interaction between rice and Meloidogyne graminicola

description: Additional file 10. List of primers used in this study. Table S13 Forward and reverse primers.
DOI: 10.6084/m9.figshare.15026455.v1
title: Additional file 10 of Non-coding RNAs in the interaction between rice and Meloidogyne graminicola

description: Additional file 10. List of primers used in this study. Table S13 Forward and reverse primers.
DOI: 10.6084/m9.figshare.15026458
title: Additional file 1 of Non-coding RNAs in the interaction between rice and Meloidogyne graminicola

description: Additional file 1. Read counts of small and total RNA libraries (raw, after trimming and after mapping). Table S1 read counts of total RNA libraries. Table S2 Read counts of small RNA libraries.
DOI: 10.6084/m9.figshare.15026458.v1
title: Additional file 1 of Non-coding RNAs in the interaction between rice and Meloidogyne graminicola

description: Additional file 1. Read counts of small and total RNA libraries (raw, after trimming and after mapping). Table S1 read counts of total RNA libraries. Table S2 Read counts of small RNA libraries.
DOI: 10.6084/m9.figshare.15026461
title: Additional file 2 of Non-coding RNAs in the interaction between rice and Meloidogyne graminicola

description: Additional file 2. Results of differential expression analysis on total RNA data. Table S3 Statistics of differential expression analysis.
DOI: 10.6084/m9.figshare.15026464.v1
title: Additional file 3 of Non-coding RNAs in the interaction between rice and Meloidogyne graminicola

description: Additional file 3. List of lncRNA clusters and their overlap with differentially methylated regions. Table S4 Expression and genomic location of lncRNA clusters.
DOI: 10.6084/m9.figshare.15026461.v1
title: Additional file 2 of Non-coding RNAs in the interaction between rice and Meloidogyne graminicola

description: Additional file 2. Results of differential expression analysis on total RNA data. Table S3 Statistics of differential expression analysis.
DOI: 10.6084/m9.figshare.15026464
title: Additional file 3 of Non-coding RNAs in the interaction between rice and Meloidogyne graminicola

description: Additional file 3. List of lncRNA clusters and their overlap with differentially methylated regions. Table S4 Expression and genomic location of lncRNA clusters.
DOI: 10.6084/m9.figshare.15026467
title: Additional file 4 of Non-coding RNAs in the interaction between rice and Meloidogyne graminicola

description: Additional file 4. Results of gene ontology analysis on genes in lncRNA clusters and genes predicted to be involved in lncRNA mimicry. Table S5 All significantly enriched GO terms amongst protein coding genes in lncRNA clusters. Table S6 All significantly enriched GO terms amongst protein coding genes that are predicted to be involved in a lncRNA decoy - miRNA - mRNA triplicate.
DOI: 10.6084/m9.figshare.15026467.v1
title: Additional file 4 of Non-coding RNAs in the interaction between rice and Meloidogyne graminicola

description: Additional file 4. Results of gene ontology analysis on genes in lncRNA clusters and genes predicted to be involved in lncRNA mimicry. Table S5 All significantly enriched GO terms amongst protein coding genes in lncRNA clusters. Table S6 All significantly enriched GO terms amongst protein coding genes that are predicted to be involved in a lncRNA decoy - miRNA - mRNA triplicate.
DOI: 10.6084/m9.figshare.15026470
title: Additional file 5 of Non-coding RNAs in the interaction between rice and Meloidogyne graminicola

description: Additional file 5. List of lncRNAs and mRNAs predicted predicted to be involved in lncRNA mimicry. Table S7 Mirnas with predicted target mRNA or decoy lncRNA.
DOI: 10.6084/m9.figshare.15026470.v1
title: Additional file 5 of Non-coding RNAs in the interaction between rice and Meloidogyne graminicola

description: Additional file 5. List of lncRNAs and mRNAs predicted predicted to be involved in lncRNA mimicry. Table S7 Mirnas with predicted target mRNA or decoy lncRNA.
DOI: 10.6084/m9.figshare.15026473
title: Additional file 6 of Non-coding RNAs in the interaction between rice and Meloidogyne graminicola

description: Additional file 6. Degradome sequencing results. Table S8 Degradome statistics and miRNA annotation.
DOI: 10.6084/m9.figshare.15026473.v1
title: Additional file 6 of Non-coding RNAs in the interaction between rice and Meloidogyne graminicola

description: Additional file 6. Degradome sequencing results. Table S8 Degradome statistics and miRNA annotation.
DOI: 10.6084/m9.figshare.15026479
title: Additional file 8 of Non-coding RNAs in the interaction between rice and Meloidogyne graminicola

description: Additional file 8. SiRNAs found to be differentially expressed in rice after Meloidogyne graminicola infection. Table S9 Statistics of differential expression analysis and genomic locations of differentially expressed siRNAs.
DOI: 10.6084/m9.figshare.15026479.v1
title: Additional file 8 of Non-coding RNAs in the interaction between rice and Meloidogyne graminicola

description: Additional file 8. SiRNAs found to be differentially expressed in rice after Meloidogyne graminicola infection. Table S9 Statistics of differential expression analysis and genomic locations of differentially expressed siRNAs.
DOI: 10.6084/m9.figshare.15026482.v1
title: Additional file 9 of Non-coding RNAs in the interaction between rice and Meloidogyne graminicola

description: Additional file 9. Details of siRNAs predicted to regulate gene expression via the promoter region. Table S10 Expression and genomic location data about siRNAs predicted to regulate gene expression via the promoter region in the rice - M.graminicola interaction. Table S11 Expression and genomic location data about siRNAs predicted to regulate gene expression via the promoter region in the Arabidopsis - M. javanica interaction using giant cell (3 dpi) data. Table S12 Expression and genomic location data about siRNAs predicted to regulate gene expression via the promoter region in the Arabidopsis - M. javanica interaction using gall (3 dpi) data.
DOI: 10.6084/m9.figshare.15026482
title: Additional file 9 of Non-coding RNAs in the interaction between rice and Meloidogyne graminicola

description: Additional file 9. Details of siRNAs predicted to regulate gene expression via the promoter region. Table S10 Expression and genomic location data about siRNAs predicted to regulate gene expression via the promoter region in the rice - M.graminicola interaction. Table S11 Expression and genomic location data about siRNAs predicted to regulate gene expression via the promoter region in the Arabidopsis - M. javanica interaction using giant cell (3 dpi) data. Table S12 Expression and genomic location data about siRNAs predicted to regulate gene expression via the promoter region in the Arabidopsis - M. javanica interaction using gall (3 dpi) data.