cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21617790
title: Rainfall accumulation data for model validation

description: The dataset is about the rainfall accumulation data used for model validation in our study to reproduce the July 20th 2021 storm in Henan Province by numerical simulations.
DOI: 10.5281/zenodo.4769671
title: Data for the comparison of COVID-19 mortality in European and North American geographic entities

description: Data used by Melina Ribaud, Edith Gabriel, Joseph Hughes, Samuel Soubeyrand (Identifying potential significant factors impacting zero-inflated proportions data. 2021. &lt;hal-02936779v3&gt;) for comparing COVD-19-mortality dynamics in Europe and Northern America. Data are provided in two tab-delimited text files (rawFactors.txt and diffFactors.txt) and their format is described in the file data-description.pdf.
DOI: 10.6073/pasta/f62c630ff7a917eae8d320f8400ad2ec
title: High frequency soil sensor data for SOM input - Complex drivers of riparian soil oxygen variability revealed using self-organizing maps

description: The provided datasets contain the original (non-normalized) high-frequency soil and meteorological observations that were fed to the Self-Organizing Map (SOM) in order to identify ranges of values associated with low and high soil O2 conditions. For the Champlain Valley (CV) site we used the natural breaks algorithm to subset the data into high and low O2 datasets. O2 values were consistently low at the Green Mountains (GM) site, so we ran a single SOM for all O2 values at this site. The original values were then range-normalized before they were fed to the SOM.
DOI: 10.5281/zenodo.7412470
title: Dataset for "Global Simulation of the Madden–Julian Oscillation With Stochastic Unified Convection Scheme"

description: Datasets for "Global Simulation of the Madden–Julian Oscillation With Stochastic Unified Convection Scheme". The global simulation outputs (climatologies and daily anomalies), calculated RMM indexes, and the results of the budget analysis are included.
DOI: 10.5286/isis.e.rb1610253
title: Light Atom Location in Filled Skutterudites

description: Thermoelectric materials offer tremendous potential for the conversion of waste heat energy into useful electrical energy. We are currently engaged on a collaborative project that seeks to develop skutterudites for energy recovery in vehicle exhaust streams. In the course of this work, we have succeeded in introducing lithium filler atoms into a series of isoelectronic mixed-metal skutterudites. This produces significant changes in electrical and thermal transport properties. However, owing to the low X-ray scattering power of lithium we are unable to locate the filler atom by X-ray methods. We wish to exploit the capacity of neutrons to locate lithium in the presence of heavy atoms, to carry out a detailed structural study of a series of isostructural lithium-containing skutterudites.
DOI: 10.17632/8zj5nbkt47.1
title: Feature selection for CO2RR

description: These data represent the scaled data of a number of features of a membrane electrode assembly.  The accompanying code written in Python is for ascertaining the appropriate choice of features to use for machine learning.  It also includes the routine for reverse engineering for various ML algorithms to allow for rational choice of model.
DOI: 10.20383/102.0743
title: Snowfall statistics for past and future climates calculated from two ensembles of the fifth-generation Canadian Regional Climate Model (CRCM5)

description: This dataset contains extreme snowfall statistics from observations and regional climate model simulations. Simulated snowfall statistics are calculated using two ensembles of the fifth-generation Canadian Regional Climate Model (CRCM5). The first is a set of four simulations produced by Ouranos for the Coordinated Regional Climate Downscaling Experiment (CORDEX) at 0.22° horizontal grid spacing over the North American domain. The second ensemble is a set of 50 simulations from the ClimEx project, driven by 50 members of the CanESM2 large ensemble over the northeastern North America domain at 0.11° horizontal grid spacing. Observations are derived from the Global Historical Climatology Network daily (GHCNd) dataset. Statistics include mean annual snowfall, the 95th percentile of daily snowfall (SF95), and the mean annual number of daily snowfall events exceeding 10% of the climatological mean annual snowfall (TC10). Statistics are presented for four time periods, the 1980-2009 recent past climate and the 30-year periods during which the +2, +3, and +4°C global warming levels (relative to the 1850-1900 preindustrial climate) are attained. These data are associated with the manuscript “Changing Nature of High-Impact Snowfall Events in Eastern North America” by McCray et al. (2023), Journal of Geophysical Research: Atmospheres available at https://doi.org/10.1029/2023JD038804.
DOI: 10.5281/zenodo.7978524
title: Beijing Summer Rain and Aerosol Data

description: 2018-2022 Beijing summer rain and aerosol species.
DOI: 10.18739/a2bc3sz65
title: Stable carbon isotope tree-ring records (Thelon River, Northwest Territories, Canada) 1900-2003

description: Carbon isotope discrimination records of white spruce (Picea glauca [Moench] Voss) trees sampled along the Thelon River (64º03’N / 103º87’W, 160 m a.s.l.) in 2004. When using this dataset, please cite: Lévesque, M., Andreu-Hayles, L., D’Arrigo, R., Oelkers, R., & Buckley, B. M. (2023). Non-linear Growth and Physiological Responses of White Spruce at North American Arctic Treeline. Journal of Geophysical Research: Biogeosciences, 128, e2022JG007096. https://doi.org/10.1029/2022JG007096 and for the methodology: Andreu-Hayles, L., Levesque, M., Martin-Benito, D., Huang, W., Harris, R., Oelkers, R., Leland, C., Martin-Fernández, J., Anchukaitis, K.J. and Helle, G. (2019). A high yield cellulose extraction system for small whole wood samples and dual measurement of carbon and oxygen stable isotopes. Chemical Geology, 504, 53-65. Project abstract: Temperatures in Arctic and subarctic North America are rising and are projected to continue to rise. Furthermore, atmospheric carbon dioxide is increasing around the globe. This project evaluates the response of white spruce to these ongoing changes. It uses archived samples from ten sites, standard tree-ring methodologies supplemented by novel chemical analyses, and numerical models to understand tree growth response to changing environmental drivers. Extending traditional tree-ring width and maximum latewood density records, the principal investigators established a high latitude network of stable carbon (d13C) and oxygen (d18O) isotope measurements, which provide an independent constraint on such changes relative to traditional dendroclimatological measurements. This project represents an interdisciplinary opportunity to combine three distinct disciplines: (1) basic dendrochronological techniques, which allow for precisely-dated, quantitative and verifiable long-term tree-ring records; (2) low temperature geochemical tools to measure del13C and del18O ratios that independently reflect environmental variables including temperature, precipitation, relative humidity and long-term physiological information on water use efficiency in natural forests; and (3) the joint use of a process-based mechanistic model, MAIDENiso, to distinguish between the confounding effects of increases in temperatures and atmospheric CO2 and to predict boreal forest response under different scenarios, and the NASA GISS ModelE2 general circulation model to provide inputs to MAIDENiso.
DOI: 10.18739/a2g44hs0x
title: Stable carbon isotope tree-ring records (Coppermine River, Nunavut, Canada) 1900- 2003

description: Carbon isotope discrimination records of white spruce (Picea glauca [Moench] Voss) trees sampled along the Coppermine River (67º23’N / 115º92’W, 210 m a.s.l.) in 2004. When using this dataset, please cite: Lévesque, M., Andreu-Hayles, L., D’Arrigo, R., Oelkers, R., & Buckley, B. M. (2023). Non-linear Growth and Physiological Responses of White Spruce at North American Arctic Treeline. Journal of Geophysical Research: Biogeosciences, 128, e2022JG007096. https://doi.org/10.1029/2022JG007096 and for the methodology: Andreu-Hayles, L., Levesque, M., Martin-Benito, D., Huang, W., Harris, R., Oelkers, R., Leland, C., Martin-Fernández, J., Anchukaitis, K.J. and Helle, G. (2019). A high yield cellulose extraction system for small whole wood samples and dual measurement of carbon and oxygen stable isotopes. Chemical Geology, 504, 53-65. Project abstract: Temperatures in Arctic and subarctic North America are rising and are projected to continue to rise. Furthermore, atmospheric carbon dioxide is increasing around the globe. This project evaluates the response of white spruce to these ongoing changes. It uses archived samples from ten sites, standard tree-ring methodologies supplemented by novel chemical analyses, and numerical models to understand tree growth response to changing environmental drivers. Extending traditional tree-ring width and maximum latewood density records, the principal investigators established a high latitude network of stable carbon (d13C) and oxygen (d18O) isotope measurements, which provide an independent constraint on such changes relative to traditional dendroclimatological measurements. This project represents an interdisciplinary opportunity to combine three distinct disciplines: (1) basic dendrochronological techniques, which allow for precisely-dated, quantitative and verifiable long-term tree-ring records; (2) low temperature geochemical tools to measure del13C and del18O ratios that independently reflect environmental variables including temperature, precipitation, relative humidity and long-term physiological information on water use efficiency in natural forests; and (3) the joint use of a process-based mechanistic model, MAIDENiso, to distinguish between the confounding effects of increases in temperatures and atmospheric CO2 and to predict boreal forest response under different scenarios, and the NASA GISS ModelE2 general circulation model to provide inputs to MAIDENiso.
DOI: 10.5281/zenodo.7293120
title: OMPS-NPP L2 LP USask Aerosol Extinction Vertical Profile swath daily V1.2

description: The USask OMPS-LP L2 2D Aerosol v1.2 product provides stratospheric aerosol extinction retrievals performed at the University of Saskatchewan for the central slit of the Ozone Mapping and Profiler Suite Limb Profiler (OMPS-LP) instrument on the Suomi-NPP satellite. The two-dimensional retrieval algorithm accounts for variation in the along orbital track dimension, retrieving an entire orbit simultaneously instead of treating each image independently. Stratospheric aerosol is retrieved from approximately the thermal tropopause to 30 km on a 1 km grid with a vertical resolution of approximately 2 km, and is assumed to be sulfate aerosol following a log-normal particle size distribution. Each file contains data from the daylight portion of each orbit measured for a full day. Spatial coverage is global (-82 to +82 degrees latitude), and there are about 14.5 orbits per day, each has typically 160 profiles with an along orbital track sampling of 125 km. The files are written using NetCDF4.
description: Global coverage
DOI: 10.5281/zenodo.7893863
title: Ring Width Index (RWI) and Standard Precipitation Index (SPI) data for Atmospheric River reconstruction

description: These are the two datasets used for reconstructing atmospheric river activity along the U.S. west coast (under review at the Journal of Geophysical Research: Atmosphere). The first file rwi.mat contains the ring-width-index for the chronologies used to develop the second dataset (SPI_recon.nc). This file is used as the covariate to develop the AR reconstructions (with Poisson regression) and goes back to 1400 CE.
DOI: 10.5067/aura/mls/data2506
title: MLS/Aura Level 2 Carbon Monoxide (CO) Mixing Ratio V005
DOI: 10.18739/a2ks6j60z
title: Tree-ring width series of white spruce (Picea glauca) trees (Thelon River Canada) 1661 - 2003

description: Tree-ring width records of white spruce (Picea glauca [Moench] Voss) trees sampled along the Thelon River (64º03’N / 103º87’W, 160 m a.s.l.) in 2004. When using this dataset, please cite: Lévesque, M., Andreu-Hayles, L., D’Arrigo, R., Oelkers, R., & Buckley, B. M. (2023). Non-linear Growth and Physiological Responses of White Spruce at North American Arctic Treeline. Journal of Geophysical Research: Biogeosciences, 128, e2022JG007096. https://doi.org/10.1029/2022JG007096 Project abstract: Temperatures in Arctic and subarctic North America are rising and are projected to continue to rise. Furthermore, atmospheric carbon dioxide is increasing around the globe. This project evaluates the response of white spruce to these ongoing changes. It uses archived samples from ten sites, standard tree-ring methodologies supplemented by novel chemical analyses, and numerical models to understand tree growth response to changing environmental drivers. Extending traditional tree-ring width and maximum latewood density records, the principal investigators established a high latitude network of stable carbon (d13C) and oxygen (d18O) isotope measurements, which provide an independent constraint on such changes relative to traditional dendroclimatological measurements. This project represents an interdisciplinary opportunity to combine three distinct disciplines: (1) basic dendrochronological techniques, which allow for precisely-dated, quantitative and verifiable long-term tree-ring records; (2) low temperature geochemical tools to measure del13C and del18O ratios that independently reflect environmental variables including temperature, precipitation, relative humidity and long-term physiological information on water use efficiency in natural forests; and (3) the joint use of a process-based mechanistic model, MAIDENiso, to distinguish between the confounding effects of increases in temperatures and atmospheric CO2 and to predict boreal forest response under different scenarios, and the NASA GISS ModelE2 general circulation model to provide inputs to MAIDENiso.
DOI: 10.5067/aura/mls/data3571
title: MLS/Aura Level 3 Daily Binned Nitric Acid (HNO3) Mixing Ratio on Zonal and Similar Grids V005
DOI: 10.5281/zenodo.7665006
title: Multi-Posture Leg Tracker Data Set

description: This data repository contains sensor data depicting people in different postures. The data contains 2D radar data generated by indurad iSDR-C, 2D laser data generated by SICK S300, and depicts the postures "standing" and "squatting" complemented by background data. The robot hardware is a Robotnik Summit XL Steel with omniwheels. See README file for extensive information on data content and meta-data. The data is directly related to following publication, which we appreciate to be cited with the data set: Mandischer N., Hou R., Corves B.:<br> "Multiposture leg tracking for temporarily vision restricted environments based on fusion of laser and radar sensor data", Journal of Field Robotics, Wiley. DOI: 10.1002/rob.22195 The data is loosely related to following publication: Mandischer N., Koop I., Granich A., Heberling D., Corves B.:<br> "Radar Tracker For Human Legs Based On Geometric And Intensity Features", European Signal Processing Conference 2021, online. DOI: 10.23919/EUSIPCO54536.2021.9616134
DOI: 10.13020/ws9a-ae08
title: Ecosystem-atmosphere fluxes of reactive carbon from the 2021 Flux Closure Study (FluCS) at Manitou Experimental Forest

description: This archive contains hourly observed and modeled fluxes of ambient volatile organic compounds (VOCs) over Manitou Experimental Forest in Woodland Park, CO during the FluCS 2021 study throughout August and September 2021. Observations were collected via the eddy covariance method using mass spectrometry for VOC concentrations and a sonic anemometer for vertical windspeed. Model fluxes were simulated using the GEOS-Chem (v13.3) model. Also included are observed and simulated meteorology during this time period.
description: Please see README files and citation for a description of the data.
DOI: 10.17632/6rshgjfr8w.1
title: Multivariate Bayesian analysis to predict invasiveness of Phytophthora pathogens

description: Three excel databases have been compiled to provide the background data for this manuscript.
Supporting Data 1. All internal transcribed spacer GenBank records of Phytophthora (over 15,000 records).  All records were checked within phylogenetic analyses to confirm the species identity. An explanation for the process used is given in the first datasheet.
Supporting Data 2. All disease records for Phytophthora based on both host and country. 
Publicly available records of plant diseases involving Phytophthora species were collated to establish a global database of Phytophthora diseases.  Reports of formally and provisionally described species for which host genus or species information was available were included until March 2022.  Reports were scoured from plant disease databases and large collections including:
•	United States Department of Agriculture (USDA), global fungal database (Farr and Rossman 2022) using the R package (rusda – Krah 2016, n = 8 497 reports),
•	Centre for Agriculture and Bioscience International (CABI), 
•	The New Zealand Forest Research (Scion) forest health database (collected through correspondence = 1 504 records), 
•	Landcare Research, New Zealand fungi database (collected through correspondence = 1 559 records),
•	Australia Phytophthora disease records (sourced from Burgess et al. 2021 = 7 629 records), and
•	NCBI Genbank records (manual download Appendix S1 = 12 957 records).
Additional plant disease records not available in the above databases were manually downloaded 
Supporting Data 3. A trait database for all described Phytophthora species including morphological and physiological traits, the type of disease caused by each species and the environments where the different species have been recovered. The morphological and physiological traits were from species descriptions and the type of disease caused, and the environments where the species has been found were from disease reports.  The variables collated are explained in the final datasheet of the file.
DOI: 10.17632/cvw2hfx5d9.1
title: Source apportionment of cloud nuclei at 260 m and ground level in urban Beijing

description: Two scanning mobility particle sizers (SMPSs) were deployed at ground level and 260 m on the Beijing 325 m meteorological tower (Du et al., 2017). At 260 m, the size-resolved particle number concentration (15-685 nm) was measured by the SMPS equipped with a long differential mobility analyzer (TSI, 3081A). At ground level, the particle number concentrations (10–400 nm) was measured by using an SMPS which is as part of an unattended multifunctional hygroscopicity tandem differential mobility analyzer (H-TDMA).
DOI: 10.17632/hc8cstzcxx.2
title: Data_Multi-objective optimization models for the design of water distribution networks by exploring scenario-based approaches

description: Nodal demands scenarios of Fossolo network for the case of 7 scenarios with and without sub-intervals and 11 scenarios with and without sub-intervals.
DOI: 10.17894/ucph.e7155d6e-57fe-45d8-96b7-8e820cb052d1
title: Ionization rate and geomagnetic cutoff rigidity data during the Matuyama-Brunhes reversal
DOI: 10.18739/a2wd4w
title: The Collaborative O-Buoy Project: Deployment of a Network of Arctic Ocean Chemical Sensors for the IPY and beyond

description: Collaborators from five institutions will work to build and deploy an Arctic Ocean network of rugged and autonomous buoys (named "O-Buoys"), capable of observing three key atmospheric chemical species, bromine monoxide-BrO, ozone-O3, and carbon dioxide-CO2 through 2016 (with each O-Buoy being operational for up to 2 years). O3 and CO2 are two of the most important greenhouse gases that have, as yet, poorly understood behavior in the Arctic. BrO is a reaction intermediate that is involved in the extraordinary ozone and mercury atmospheric depletion that occurs during polar springtime, both of which have strong consequences for human and ecosystem health in the Arctic region. These buoys are immersed through the sea ice into the ocean surface, thereby providing a constant temperature (-1.7 degrees C) environment for sensor stability. The original O-Buoy project funded by NSF included design and testing of the O-Buoy. In the current project, 11 new O-Buoys will be constructed and deployed along with the four already built. As a pilot project, two of the new O-Buoys will include seawater sensors for CO2, oxygen, pH, fluorescence, backscatter, temperature and salinity in addition to the atmospheric O3, BrO, and CO2 sensors. Throughout the project, data from each O-Buoy will be subject to QA/QC protocols by automated processing initially, with preliminary data available on a regular basis on the Advanced Cooperative Arctic Data and Information Service (ACADIS) site. All final data and metadata will be ultimately archived on ACADIS after final analysis at the end of each deployment. This network of O-Buoys, coordinated and clustered with other buoys in ice based observatories, will enable the scientific community to first observe and, next, better understand the impact of Arctic surface change on atmospheric composition and chemistry. Outreach to local K-8 schools will include an "Adopt-a-Buoy" program. Video footage from deployments/recoveries and interviews with colleagues and native Arctic people will be contributed to the ongoing http://www.arcticstories.net site, and activities and results will be communicated via the O-Buoy web site.
DOI: 10.21227/n1e0-7c60
title: Badminton Activity Recognition (BAR)

description: The Badminton Activity Recognition (BAR) Dataset was collected for the sport of Badminton for 12 commonly played strokes. Besides the strokes, the objective of the dataset is to capture the associated leg movements.
DOI: 10.5067/aura/mls/data/3105
title: MLS/Aura Level 3 Daily Binned Carbon Monoxide (CO) Mixing Ratio on Assorted Grids V004
DOI: 10.5067/aura/mls/data2515
title: MLS/Aura Level 2 Nitrous Oxide (N2O) Mixing Ratio V005
DOI: 10.5067/aura/mls/data3535
title: MLS/Aura Level 3 Monthly Binned Chlorine Monoxide (ClO) Mixing Ratio on Assorted Grids V005
DOI: 10.5067/aura/mls/data3568
title: MLS/Aura Level 3 Daily Binned Water Vapor (H2O) Mixing Ratio on Zonal and Similar Grids V005
DOI: 10.5067/aura/mls/data3575
title: MLS/Aura Level 3 Daily Binned Nitrous Oxide (N2O) Mixing Ratio on Zonal and Similar Grids V005
DOI: 10.5067/aura/mls/data3580
title: MLS/Aura Level 3 Daily Binned Temperature on Zonal and Similar Grids V005
DOI: 10.5281/zenodo.7384272
title: Six hundred years of reconstructed atmospheric river activity on the US west coast

description: These are the reconstruction data from the article: Six hundred years of reconstructed atmospheric river activity along the US West Coast (under review at the Journal of Geophysical Research: Atmosphere). The earliest start year of the reconstruction are mentioned in the files (either 1916 or 1400) and the corresponding models are mentioned as PCR (Regression) or NN (Neural Network).
DOI: 10.5281/zenodo.8126860
title: Dataset and Software for High-resolution mantle flow models reveal importance of plate boundary geometry and slab pull forces on generating tectonic plate motions

description: This repository contains the plugin and dataset used to setup models in the manuscript: "High-resolution mantle flow models reveal importance of plate boundary geometry and slab pull forces on generating tectonic plate motions". It also includes the corresponding versions of the geodynamics software ASPECT and Worldbuilder which were used to develop the models in the paper. The material model plugin used in our models is in the "plugins" folder. The "models" folder contains the reference input parameter file described in the paper. All other model configurations shown in the paper can be obtained by modifying this parameter file. The input files used to set up the models are in the respective folder. Additionally, the Jupyter notebook used to compute residuals of our models is provided in the "scripts" folder.