cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.20383/103.0818
title: Data, code and documentation for experimental warming and nitrogen deposition in clear-cuts and forest edges: assessing impacts on plant communities and tree seedling performance

description: These plant and soil data are associated with a manuscript in the Journal of Vegetation Sciences. Questions: Do nitrogen deposition and climate warming affect tree seedlings and plant communities in different habitats? In these habitats, how do microenvironments, including soil properties and, when applicable, edge effects relate to plant performance? Location: The University of British Columbia Malcolm Knapp Research Forest, Maple Ridge, British Columbia, Canada. Methods: We assessed performance of Pseudotsuga menziesii (Mirb.) Franco, Thuja plicata Donn ex D. Don and Tsuga heterophylla (Raf.) Sarg. planted tree seedlings and associated vascular plant communities. Performance of tree seedlings (height) and understory vascular plant communities (percent cover) were examined in an experiment with warming (open top chambers) and nitrogen deposition (ammonium nitrate applied at 10 kg N ha-1 yr-1) treatments applied to subplots in six forest edges and six clear-cuts (N = 298 total subplots). Results: In clear-cuts, tree seedling height increased with experimental warming and differed among species, and vascular plant cover increased with warming. In clear-cuts, species identity, not soil variables, was a strong predictor of height, and plant cover was negatively related to pH. In forest edges, edge position and some soil variables were related to height, but not plant cover. There were no interaction effects found between experimental nitrogen deposition and warming. Conclusions: Our results suggest that moderate warming can enhance tree seedling height and understory vascular plant cover in clear-cuts in Pacific Northwest coastal ecosystems, but low nitrogen deposition may not have an effect alone or synergistically with warming.
DOI: 10.20383/103.01165
title: Data and Analysis Code for Long-Term Trend and Correlation Analysis of Daymet Shortwave Radiation, CERES Solar Insolation, ERA5 Total Cloud Cover, MODIS Cloud Fraction, In-situ Cloud Cover Observations, and Landsat Lake Surface Water Temperature in Northwest Territories (NWT), Canada (1980–2023)

description: The dataset presented here comprises processed data and accompanying code for preprocessing, processing, and analyzing multiple climate-related datasets used in the study "Trend analysis of surface shortwave radiation in continental Northwest Territories, Canada (1980–2023)." Organized into several directories—technical_validation, ceres_solar_insolation, correlation, daymet_ssr, era5_tcc, modis_cldfr, summer_ssr_cloud_anomaly, and summer_ssr_lswt_mktrend—this submission includes output CSV files that detail correlations between Daymet shortwave radiation (SSR), CERES solar insolation, ERA5 total cloud cover (TCC), MODIS Cloud Fraction, in-situ cloud cover observations, and Landsat-derived lake surface water temperature (LSWT). Each directory contains the necessary scripts for data preprocessing and analysis, ensuring reproducibility and facilitating further research. Due to the substantial volume of raw data, only the processed output files and associated code are provided. Additionally, a readme.txt file is included to guide users through the repository structure and the utilization of the provided resources effectively.
DOI: 10.20383/103.01267
title: Thermal Drying Synthesized Density-Tunable and High-Stability Nonthiolated Spherical Nucleic Acids for Split Aptamer and Lateral Flow Biosensors

description: This dataset provides fluorescence assay data demonstrating the tunable DNA density of nonthiolated spherical nucleic acids (SNAs). These nonthiolated SNAs were then employed for oxytetracycline detection using UV-vis spectroscopy and for detecting genetically modified soybean using lateral flow assays (LFAs). Signal acquisition was performed with a Tecan Spark multifunctional microplate reader (https://www.tecan.com/spark-overview), with excitation/emission wavelengths set at 467/525 nm for SYBR Green I and 485/520 nm for carboxyfluorescein. Quantitative analysis of the LFA signal intensity data was performed using ImageJ software (https://fiji.sc/).
DOI: 10.20383/103.01171
title: Frost growth on porous membranes used in energy exchangers

description: This file contains data collected of frost growth on a membrane, as well as frost limit maps of a porous membrane.
DOI: 10.20383/103.01140
title: Simulation output for Stang & Allen (2025): Seasonably variable estuarine exchange through inter-connected channels in the Salish Sea

description: This dataset includes set-up files and output files from Lagrangian particle tracking simulations with Ariane, used in Stang & Allen (2025). The simulations are based on output from 3-dimension coupled physical-biological-chemical model, SalishSeaCast. The quantitative mode of Ariane was used to estimate volume transport through inter-connected channels in the Salish Sea and assess the seasonality of this flow.
DOI: 10.20383/103.01353
title: Files used in a Monte Carlo analysis of oil spill risks in the Salish Sea

description: This dataset contains input files, configuration parameters, parameter statistics, and aggregated model outputs generated for a Monte Carlo analysis of oil spill risk in the Salish Sea. The dataset was used to develop thousands of hypothetical oil spill scenarios based on observed vessel movement patterns in 2018, recorded oil transfer operations in 2018, and historical spill data. It includes sets of 10,000 synthetic spill scenarios as well as underlying data sources used to generate the statistics from which spills were derived. The files are organized into folders that include: aggregated model output from a set of 10,000 spills, sets of spill scenarios generated by our method, YAML configuration files, gridded "Vessel Time Exposure" maps in GeoTIFF format, and annotated spreadsheets with information used to inform methodology. The dataset is the result of an interdisciplinary effort to more comprehensively represent oil spill risks in the coastal waters between Vancouver Island and the mainlands of British Columbia and Washington State. It reflects a detailed integration of vessel traffic data, empirical spill records, and operational infrastructure characteristics. Due to licensing constraints, AIS ship track data from SPIRE Maritime is excluded but referenced. Please see the companion articles “A statistical representation of oil spill fate in the Salish Sea (Parts 1 & 2)” published in Marine Pollution Bulletin (Mueller et al., 2025). Source code used for simulation and analysis is openly available on GitHub (https://github.com/MIDOSS/MuellerEtAl_MIDOSS_paper) and archived via Zenodo (https://doi.org/10.5281/zenodo.10939119).
DOI: 10.20383/103.01272
title: Ouranos Ensemble of Bias-adjusted Simulations - Global models CMIP6 - AHCCD v3 (ESPO-G6-AHCCD v1.0.0)

description: This dataset is an ensemble of CMIP6 climate model bias-adjusted simulations for total daily precipitation, minimum, maximum and mean daily temperature over the period 1950–2100. Daily time series are extracted at 692 locations for temperature, and 439 for precipitation, corresponding to weather stations from the "Adjusted and homogenized Canadian climate data" (AHCCD) published by Environment and Climate Change Canada (ECCC). Climate simulations grids are bilinearly interpolated at each station with a 1.5° buffer zone, then bias-adjusted using the detrended quantile mapping (DQM) method and AHCCD as the reference dataset. This ensemble has two distinguishing features. It is bias-adjusted at the weather station scale, namely all AHCCD stations with at least 25 years within a period of 35 years with valid months according to WMO criteria (a month is considered valid if it has has less than 5 consecutive missing days, and less than 11 missing days overall). Second, it includes a large number of model realizations from ScenarioMIP simulations (627 for precipitation and 561 for temperature) across four scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5). CMIP6 simulations were acquired via the zarr Pangeo Catalog (https://pangeo-data.github.io/pangeo-cmip6-cloud/overview.html) and biasdajusted with the xscen package (https://xscen.readthedocs.io/en/latest/). This dataset has been created as part of project funded by Infrastructure Canada assessing the likelihood of future climate hazards to built infrastructures.
DOI: 10.20383/102.0554
title: Snowmelt water use at transpiration onset: Dataset

description: Most studies investigate tree water use during the growing season. However, we know little about the source of transpiration during spring onset when trees rehydrate and recommence transpiration. This repository holds high-temporal resolution isotopic (δ18O and δ2H) and hydrometric measurements collected in the spring of 2018 at the Boreal Ecosystem Research and Monitoring Sites (BERMS). Sampling was conducted prior, during and after snowmelt at the Old Black Spruce site (OBS; 53. 98 °N, 105.12 °W) and the Old Jack Pine site (OJP; 53.92°N, 104.69 °W). We did this to characterize tree water use and the timing of transpiration phenological changes from the three dominant tree species – jack pine (Pinus banksiana), black spruce (Picea mariana) and larch (Larix laricina). This composite dataset contains stable isotopic composition data (δ2H and δ18O) of more than 1300 water samples of precipitation, bulk soil collected at different depths in the soil profile, xylem from jack pine, black spruce and larch, and stream from the White Gull Creek. The data set also comprises high-resolution tree hydraulic information from stem radius change and sap flow from all three species. Finally, the repository holds environmental conditions during the sampling period, including soil volumetric water content and temperature at different soil depths, snow depth, air temperature and precipitation. This data was used to understand patterns in tree water use during spring onset and provide a mechanistic understanding of tree water use dynamics by combining isotope hydrology, tree hydrodynamics and phenology.
DOI: 10.20383/103.01196
title: High-Resolution Historical and Pseudo Global Warming (PGW) Simulations for northwest North America Catalogue (HR-HiPNWNAC), V1

description: This catalogue includes model output data from two 11-year simulations performed using the version 6 of the Canadian Regional Climate Model (CRCM6-GEM5). CRCM6-GEM5 (Roberge et al., 2024) is a climate model developed at ESCER/UQAM that is based on the version 5 of the Global Environmental Multiscale (GEM5) model (McTaggart-Cowan et al., 2019), the CLASS land surface scheme (Verseghy 2000) and the FLake lake model (Martynov et al., 2012). GEM5 is developed by the group of Recherche en Prévision Numérique at Environment and Climate Change Canada (ECCC) and is used for numerical weather prediction in multiple weather prediction systems. CLASS is developed by the Canadian Centre for Climate Modelling and Analysis also at ECCC as part of the new CLASSIC scheme. The two simulations were performed using a 2.5-km horizontal grid spacing version of the CRCM6-GEM5 model (CRCM6-GEM5-2.5), following a similar configuration as described in Roberge et. al (2024). The main difference is that we used version 5.1.1 of the GEM5 model here, instead of version 5.0.2. The simulated domain has 940 and 844 grid points in the east-west and north-south directions respectively. The domain is centered over British Columbia, Alberta, Saskatchewan and covers a portion of northwest North America. The two CRCM6-GEM5-2.5 simulations differ on the driving data used at the lateral boundaries. The historical climate simulation (denoted as hist) is driven by a 12-km version of the model that was in turn driven by the ERA5 reanalysis (Hersbach et al., 2020). The future climate simulation (denoted as pgw) is driven by a 12-km version of the CRCM6-GEM5 model (CRCM6-GEM5-12) that was also driven by the ERA5 reanalysis, but with an additional delta climate change perturbation, using the so-called Pseudo Global Warming (PGW) approach (Schär et al., 1996, Kröner et al., 2017) to simulate future changes. The climate change perturbation was taken from monthly mean fields averaged across an ensemble of 30 General Circulation Models (GCMs) from the sixth Coupled Model Intercomparison Project (CMIP6). The climate change signal was calculated between the periods 1990-2014 and 2076-2100 using the scenario SSP585. More details about the list of CMIP6 GCMs, the variables used and the interpolation into the ERA5 grid are provided in Argüeso (2023). The intermediate CRCM6-GEM5-12 simulations were run using spectral nudging in the interior of the domain as in Roberge et. al (2024), while the CRCM6-GEM5-2.5 simulations were only driven at the lateral boundaries by the CRCM6-GEM5-12 simulation.
DOI: 10.25934/00005117
title: A Phase III Multicentre, Double Blind, Placebo-controlled, Parallel Group 52-week Study to Assess the Efficacy and Safety of 2 Dose Regimens of Lyophilised CDP870 as Additional Medication to Methotrexate in the Treatment of Signs and Symptoms and Preventing Structural Damage in Patients With Active Rheumatoid Arthritis Who Have an Incomplete Response to Methotrexate

description: Patients will be assigned to one of three treatment groups. Study medication is administered over a 52 week study duration.
DOI: 10.25934/00005118
title: A Phase III Multi-center, Double-blind, Placebo-controlled, Parallel Group 24-Week Study to Assess the Efficacy and Safety of Two Dose Regimens of Liquid Certolizumab Pegol as Additional Medication to Methotrexate in the Treatment of Signs and Symptoms of Rheumatoid Arthritis and in Prevention of Joint Damage in Patients With Active Rheumatoid Arthritis Who Have an Incomplete Response to Methotrexate.

description: A 24 week study in which patients are given study medication and assessed for signs and symptoms of rheumatoid arthritis. X-rays are performed to assess the progress of joint damage during the study.
DOI: 10.25934/00005130
title: A Phase III Multi-centre, Open-label, follow-on Study to CDP870-027, to Assess the Efficacy and Safety of Lyophilized CDP870 an Engineered Human Anti-TNF PEG Conjugate, as Additional Medication to Methotrexate, in the Treatment of Signs and Symptoms and Preventing Structural Damage in Patients With Active Rheumatoid Arthritis

description: An open ended study in which patients who completed the double-blind study CDP870-027 [NCT00152386] are given Certolizumab Pegol (CZP) and assessed for signs and symptoms of Rheumatoid Arthritis (RA).
DOI: 10.25934/00005131
title: A Phase III Multi-center, Open-label, Follow-up Study, to Assess the Safety and Efficacy of Liquid Certolizumab Pegol as Additional Medication to Methotrexate, in the Treatment of Signs and Symptoms and in the Prevention of Joint Damage in Patients With Active Rheumatoid Arthritis Who Participated in Study CDP870-050

description: An open ended study in which patients who completed the preceding double-blind study NCT00160602 are given Certolizumab Pegol and assessed for signs and symptoms of Rheumatoid Arthritis.
DOI: 10.20383/103.01558
title: Imaging Fourier-transform spectrometer datasets and MATLAB scripts for estimating methane and carbon dioxide emission rates

description: This data deposit supports the results reported in the journal article “Quantitative assessment of long- and mid-wavelength infrared imaging Fourier-transform spectrometers for estimating methane and carbon dioxide emission rates.” The repository contains processed datasets and MATLAB scripts used to quantify methane and carbon dioxide emission rates from controlled laboratory experiments and field measurements of an in-service flare using imaging Fourier-transform spectrometers (IFTSs). Specifically, the deposit includes median-filtered absolute spectral radiance data cubes analyzed in Section 4 (Estimating mass flow rates from a laboratory-scale heated vent) and Section 5 (Estimating mass flow rates and identifying butadiene from a steam-assisted flare) of the manuscript. These hyperspectral data cubes were derived from long-wavelength infrared (LWIR) and mid-wavelength infrared (MWIR) IFTS measurements and represent the primary inputs used for plume species quantification. Also included are precomputed HITRAN-based interpolation tables of absorption cross-sections for all gaseous species quantified in the study, enabling reproducible spectroscopic modeling without requiring repeated line-by-line calculations. In addition, the repository contains two-dimensional velocity fields obtained by applying the Lucas–Kanade optical flow algorithm to the raw interferogram data cubes, which are required for estimating mass flow rates. The accompanying MATLAB scripts implement the full analysis workflow used in the paper. These scripts regress modeled intensity spectra against the measured spectra from the median-filtered radiance data cubes to infer species column densities. The inferred column densities are then combined with the velocity field data to estimate species-specific mass flow rates. Together, the datasets and scripts provide a complete and reproducible framework for estimating gas emission rates from IFTS measurements and for comparing the performance of LWIR and MWIR instruments in laboratory and field environments. The repository is intended to support transparency, reproducibility, and reuse by researchers working in infrared hyperspectral imaging, atmospheric spectroscopy, and industrial emissions monitoring.
DOI: 10.20383/102.0516
title: Data and code for Bed and Bank Stress Partitioning in Bedrock Rivers

description: The is the data and code for Bed and Bank Stress Partitioning in Bedrock Rivers submitted to Journal of Geophysical Research, Earth Surface. The data includes the velocity profiles, the topography, the width, and the shear stress distributions obaserved in the Fraser Canyons, the raw data is from the dataset https://doi.org/10.20383/101.0277; The data also includes the modelled ratio of wall to bed stress as a function of bank angles, bottom channel width and discharge, calculated from the Ray-Isovel Model; The Matlab code of the Ray-Isovel Model can be found from the file RIM, which was written by our coauther Peter Nelson. The main function of the model is fraser.m, you can run fraser.m using an example. If you want to change inputs, you can open getinput_fin1.m, and change varibles, for example ks, qw, bank angles.
DOI: 10.20383/103.0939
title: Starch granule counts from Ipomoea and Solanum tubers, differentiated by grinding procedures, environment, and days within environment.

description: These four tables represent counts of starch granules from ipomoea and solanum tubers under both oxic and anoxic conditions. This data results from an experiment to assess damage to granules under different grinding procedures using a mortar and pestle (the gentle procedure involved grinding the starches with only the weight of the mortar and pestle, the rougher procedure included added force and moderate pounding of the starches), along with subsequent microbial consumption. The processed granules were examined under a microscope and for damage and counted. Results of grinding procedures appeared to differ based on the size of the granules. The experiment was conducted at the University of Calgary in collaboration between Dr. Julio Mercader Florin's Tropical Archaeology Lab and Dr. Peter Dunfield's Microbial Lab.
DOI: 10.20383/102.0551
title: Precipitation gauge and supplemental weather station data for three Oldman River headwater locations in SW Alberta

description: Geonor totalising precipitation gauge and supporting meteorological variable data collected by the University of Lethbridge, ARTeMiS Laboratory for the 2018 to 2021 hydrological years are provided for three valley to ridge weather stations in headwater locations of the Canadian Rockies in SW Alberta.
DOI: 10.20383/103.01355
title: Glassy dynamics and a growing structural length scale in supercooled nanoparticles.

description: This dataset contains raw simulation data corresponding to all figures presented in the manuscript titled "Glassy dynamics and a growing structural length scale in supercooled nanoparticles." The data include measurements of potential energy, transition temperature, relaxation times, and locally favoured structures across various thermodynamic conditions. These quantities were analyzed to investigate the emergence of glassy dynamics and the growth of a structural length scale as the system approaches the glass transition. The dataset provides the underlying values used for time-correlation functions, structural metrics, and energy landscapes, and supports all key findings of the paper. These simulations, performed using molecular dynamics, are relevant for researchers studying glass transitions, nanoscale confinement, and structure-dynamics relationships in supercooled liquids.
DOI: 10.20383/103.0969
title: Canadian Atlantic Bottom Observations Temperature-Salinity (CABOTS)

description: The Canadian Atlantic Bottom Observations Temperature-Salinity (CABOTS) data product is a gridded sea floor temperature and salinity data product, containing measurements in Atlantic Canada and Eastern Arctic since 1980. CABOTS consists of yearly seasonal maps (spring, summer, fall) on a 0.125 longitude by 0.125 latitude grid. Values were restricted between 39-80 degrees North and 70-42 degrees West. Sea floor temperature and salinity were determined using a novel interpolation methodology which acounts for land barriers and potential time bias. Temperature and salinity measurements used to create CABOTS were taken from CASTS. Seasonal sea floor temperature and salinity measurements (original and time-adjusted) are included in 3 corresponding NetCDF files. Individual yearly fields are also given in csv files. Finally, NAFO divisional statistics are given in csv files. A complete list of all statistics is included in the README file.
DOI: 10.20383/102.0673
title: Ocean carbonate parameters on the Canadian Atlantic Continental Shelf

description: This file contains 12923 lines, each corresponding to a discrete water collection from which ocean carbonate parameters were calculated and derived. Out of this number, 11890 contains the full suite of parameters derived using CO2sys, the remaining 1033 samples have only one of the three carbonate parameters (TA, TIC or pH) available.
DOI: 10.20383/103.0970
title: Supplementary data for numerical experiments conducted in Cell Ag Supply Chain Design Paper

description: Cellular agriculture, which produces animal-derived products via biotechnological processes, has the potential to mitigate the negative impacts of traditional methods of meat and dairy production such as elevated greenhouse gas emissions, depletion and degradation of arable lands, and waterway pollution. However, lifecycle assessments for cultured meat production processes suggests that additional environmental and cost improvements are needed to compete with traditional meat production methods. Adoption of circular supply chains can improve the economic and environmental outcomes of production processes. In cultured meat production, the use of agricultural byproducts such as hydrolyzed soymeal, as a cheap alternative to chemically defined amino acids holds much promise for reducing cost and environmental impacts. However, their impact on production efficiency is largely unknown. The aim of this paper is to develop a novel exploratory supply chain model for a viable large-scale cellular agriculture network that considers facility location, ingredient blending, capacity design and technology selection problems. A mixed integer linear programming model is developed to investigate the dynamics between demand, capacity design, location, blending and technology selection decisions. Useful managerial insights are developed through various computational experiments including iso-cost curves to help decision-makers design the optimal blending of pure (pharmaceutically sourced) and chemically undefined byproduct ingredients.