cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.20383/103.0588
title: Probing Metal-Dependent Phosphate Binding for the Catalysis of the 17E DNAzyme

description: The RNA-cleaving 17E DNAzyme exhibits different levels of cleavage activity in the presence of various divalent metal ions, with Pb2+ giving the fastest cleavage. In this study, the metal–phosphate interaction is probed to understand the trend of activity with different metal ions. For the first-row transition metals, the lowest activity shown by Ni2+ correlates with the inhibition by the inorganic phosphate and its water ligand exchange rate, suggesting inner-sphere metal coordination. Cleavage activity with the two stereoisomers of the phosphorothioate-modified substrates, Rp and Sp, indicated that Mg2+, Mn2+, Fe2+, and Co2+ had the highest Sp:Rp activity ratio of &gt;900. Comparatively, the activity was much less affected using the thiophilic metals, including Pb2+, suggesting inner-sphere coordination. The pH–rate profiles showed that Pb2+ was different than the rest of the metal ions in having a smaller slope and a similar fitted apparent pKa and the pKa of metal-bound water. Combining previous reports and our current results, we propose that Pb2+ most likely plays the role of a general acid while the other metal ions are Lewis acid catalysts interacting with the scissile phosphate.
DOI: 10.20383/103.0645
title: Removal and Degradation of Microplastics Using the Magnetic and Nanozyme Activities of Bare Iron Oxide Nanoaggregates

description: Removal and degradation of microplastics are often carried out separately. In this work, hydrophilic bare Fe3O4 nanoaggregates allowed efficient removal of the most common microplastics including high-density polyethylene, polypropylene, polyvinyl chloride, polystyrene, and polyethylene terephthalate. Full extraction was achieved using Fe3O4 at 1% of the mass of microplastics. Hydrogen bonding is the main force for the adsorption of Fe3O4. Unlike the more commonly used hydrophobically modified Fe3O4 nanoparticles, the bare Fe3O4 benefitted from the peroxidase-like activity of its exposed surface, enabling further catalytic degradation of microplastics with nearly 100% efficiency and easy recovery of the Fe3O4.
DOI: 10.20383/102.0702
title: Dataset for Publication "Assessment of seasonality and normalization techniques for wastewater-based surveillance in Ontario, Canada"

description: This dataset contains wastewater surveillance data (SARS-CoV-2) and common fecal indicators for three sites in Ontario. It also contains clinical cases by episode date provided by Ontario Ministry of Health.This dataset was used for the publication "Assessment of seasonality and normalization techniques for wastewater-based surveillance in Ontario, Canada".
DOI: 10.1184/r1/31004035
title: RSA of selective auditory attention using EEG (ERP-derived RDMs)

description: Data files associated with An et al. (2023). Contains bootstrapped representational dissimilarity matrices (RDMs) derived from the broadband scalp voltage at each timepoint.
DOI: 10.1184/r1/31004035.v1
title: RSA of selective auditory attention using EEG (ERP-derived RDMs)

description: Data files associated with An et al. (2023). Contains bootstrapped representational dissimilarity matrices (RDMs) derived from the broadband scalp voltage at each timepoint.
DOI: 10.20383/103.0630
title: Geochemical composition of groundwater, surface water, permafrost porewater, and active layer porewater in samples from the Coffee gold deposit, Dawson Range, Yukon, Canada

description: The data are associated with the article: "Seasonal controls on stream metal(loid) signatures in mountainous discontinuous permafrost" by Skierszkan,E.K.,Carey, S.K., Jackson, S.I., Fellwock, M., Fraser, C. & Lindsay, M.B.J. (2023). Seasonal controls on stream metal(loid) signatures in mountainous discontinuous permafrost, Science of The Total Environment, 908(167999). DOI: https://doi.org/10.1016/j.scitotenv.2023.167999. The data were used to investigate metal(loid) abundances and mobilization processes in water in a discontinuous permafrost region. The data consist of a compilation of analyses produced as part of baseline environmental monitoring at the proposed Coffee Gold Mine by its proponent, Newmont Corp, and supplemented with additional samples collected as part of a research project into geogenic metal(oid)s in permafrost regions led by Skierszkan et al. Additional useful references to understand the local geological and geochemical context are: Skierszkan, E. K., Dockrey, J. W., Helsen, J., Bataille, L.-L. F. C. P., de Laplante, G., McBeth, J. M., et al. (2021). Persistence of uranium in old and cold subpermafrost groundwater indicated by linking 234U-235U-238U, groundwater ages, and hydrogeochemistry. Earth and Space Chemistry, 5(12), 3474–3487. Skierszkan, E. K., Dockrey, J. W., Mayer, K. U., & Beckie, R. D. (2020). Release of geogenic uranium and arsenic results in water-quality impacts in a subarctic permafrost region of granitic and metamorphic geology. Journal of Geochemical Exploration, 217 (October 2019), 106607. DOI: https://doi.org/10.1016/j.gexplo.2020.106607 Kidder, J. A., McClenaghan, M. B., Leybourne, M. I., McCurdy, M. W., Pelchat, P., Layton-Matthews, D., & Voinot, A. (2022). Hydrogeochemistry of porphyry-related solutes in ground and surface waters; an example from the Casino Cu–Au–Mo deposit, Yukon, Canada. Geochemistry: Exploration, Environment, Analysis, 22(2), geochem2021-058. DOI: https://doi.org/10.1144/geochem2021-058
DOI: 10.20383/103.0804
title: Implications of Reynolds Averaging for Reactive Tracers in Turbulent Flows

description: RANS simulations have been broadly used to investigate turbulence in the oceans and atmosphere. Within these environments there are a multitude of tracers undergoing reactions (eg. phytoplankton growth, chemical reactions). The distribution of these reactive tracers is strongly influenced by turbulent mixing. With a 50 member ensemble of two-dimensional Rayleigh-Taylor induced turbulent mixing, we show that the dynamics of a reactive tracer growing according to Fisher’s equation are poorly captured by the mean. A fluctuation-dependent sink introduced by Reynolds averaging Fisher’s equation transfers concentration from the mean to the fluctuations. We compare the dynamics of the reactive tracer with those of a passive tracer. The data herein provide all metrics used to demonstrate these results. The .mat files contain the data required to reproduce all figures and the .m files are plotting scripts. The data included herein was collected from an ensemble generated with SPINS (Spectral Parallel Incompressible Navier-Stokes Solver), which can be cloned from https://git.uwaterloo.ca/SPINS/SPINS_main The data in this repository correspond to "Implications of Reynolds Averaging for Reactive Tracers in Turbulent Flows" by Legare and Stastna, 2023 (submitted). For detailed information on interpreting the data, see the associated submitted manuscript on Preprints: https://doi.org/10.3390/jmse11112036
DOI: 10.20383/102.0529
title: Response of finescale dace (Phoxinus neogaeus) gut microbiome to in situ experimental selenium exposure

description: Selenium is an environmental contaminant of global concern that can cause adverse effects in fish at elevated levels. Fish gut microbiome play essential roles in gastrointestinal function and host health and can be perturbed by environmental contaminants, including metals and metalloids. Here, an in-situ selenium (Se) exposure of female finescale dace (Phoxinus neogaeus) using mesocosms at the International Institute for Sustainable Development - Experimental Lakes Area (IISD-ELA) was conducted to determine the impacts of Se accumulation on the gut microbiome and morphometric endpoints. 16S rDNA metabarcoding was employed to describe the gut microbiome. This dataset includes the demultiplexed sequencing output, the feature table with rarefied counts, the taxonomic annotations of sequences, and the sample metadata.
DOI: 10.20383/103.0798
title: Bedrock river and fault orientations in the Fraser Canyon, British Columbia, Canada

description: This file contains data used in the Curran et al. (2023) "Structural control of bedrock river alignment and morphology in the Fraser Canyon, British Columbia, Canada." It includes CSV files of orientation of 10-meter segments of the Fraser River centerline and orientation of 1-kilometer segments of faults and lineaments, which are a combination of published data from the BC Digital Geologic Map and newly mapped features identified in satellite and lidar data. Figures 4-6, & 8 are derived from these datasets. Also contains one CSV file of canyon classifications and underlying canyon morphology measurements from Rennie et al. (2018) used to create Figure 10.
DOI: 10.20383/103.0792
title: GlobalReservoirModel V1.0-V1.3 A new global reservoir modeling database

description: We introduce a new 2D/3D global modelling reservoir database called GRM-Global Reservoir Model, which integrates data from the following existing global databases: Global Reservoir and Dam database (GRanD), Reservoir Storage-Area-Depth dataset (ReGeom), WaterGAP V2.2D, FutureStreams, and ERA5 reanalysis databases. GRM generates simplified reservoir bathymetries, based on variable, user-defined segments. It further provides long-term water discharge (from 1980 to 2000), water temperature (from 1980 to 2000), and daily meteorological data (from 1980 to 2000) in model usable output files. The GRM output files can be directly implemented into popular water quality models such as CE-QUAL-W2 through GRM concurrent computing code. As such, GRM overcomes the usual gap between existing global reservoir datasets and water quality modelling research. This sets the stage for using GRM in applications looking at potential biogeochemical responses in global reservoirs and other freshwater systems due to climate change.
DOI: 10.15468/dl.w2vhgt
title: Occurrence Download

description: A dataset listing the 173370 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-51.02773 4.15324,-57.97841 7.54752,-70.57584 7.45154,-78.13385 6.06509,-79.86131 2.40679,-81.70675 -4.73895,-76.27555 -14.97498,-70.97216 -19.31798,-69.89514 -24.13663,-63.95568 -21.69446,-47.17045 -25.60842,-39.69639 -22.52829,-38.11037 -13.57356,-35.0911 -11.78797,-34.20165 -5.24302,-42.09698 -2.64536,-51.02773 4.15324))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 173370 records were derived from 6333 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017357-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fb9fhb
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016130-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.miis2g
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002991-160430102343922/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zksoxj
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013650-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zdippa
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002988-160430102343922/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ksvatw
title: Occurrence Download

description: A dataset containing 3586 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ramonda myconi (L.) Rchb."
 ]
}

 The dataset includes 3586 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003894-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5x34n371
title: MassIVE MSV000095010 - Proteomic content in metabolomic samples
title: Proteins remaining in the metabolomic extract from 3 common extraction modalities were quantified by DIA on the Oribtrap Eclipse following tryptic digest.
DOI: 10.15468/dl.2j893b
title: Occurrence Download

description: A dataset containing 2302034306 species occurrences available in GBIF matching the query:
{
 "BasisOfRecord" : [
 "is one of (Material sample, Human Observation)"
 ]
}

 The dataset includes 2302034306 records from 33069 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007177-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0160163.10fu
title: SH0160163.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0160164.10fu
title: SH0160164.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0160165.10fu
title: SH0160165.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0160166.10fu
title: SH0160166.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0160167.10fu
title: SH0160167.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0160168.10fu
title: SH0160168.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0160169.10fu
title: SH0160169.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0160170.10fu
title: SH0160170.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.