cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9tqp5t5
title: Regional flood skew for parts of the Mid-Atlantic and South-Atlantic-Gulf regions (hydrologic unit codes 02 and 03) in eastern Virginia, eastern West Virginia, and western Maryland

description: This dataset contains site information, results of at-site flood-frequency analysis, and results of Bayesian weighted least-squares/Bayesian generalized least-squares (B-WLS/B-GLS) analysis of regional skewness of the annual peak flows for 405 streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) in parts of the Mid-Atlantic and South-Atlantic-Gulf regions (hydrologic unit codes 02 and 03) in eastern Virginia, eastern West Virginia, and western Maryland. With few exceptions, annual peak-flow data through the 2021 water year (A water year is defined as the period October 1-September 30, named for the year in which it ends) were used in the study. For regional skew analysis, 234 of the 405 candidate streamgages were removed for pseudo record lengths (PRL; Veilleux and Wagner, 2021) less than 50 years, 50 were removed for redundancy, and 9 were removed for regulation, urbanization, or being outside the study area (see file "VAskew_Region1.csv" in this dataset). For the remaining 112 of 405 candidate streamgages, B-WLS/B-GLS regression (Veilleux and Wagner, 2021) was used to relate flood skew to a suite of 32 explanatory variables (see file "BasinCharDefinitions.csv"). None of the explanatory variables tested had sufficient predictive power in explaining the variability in skew in the region; thus, a constant model of regional skew, 0.50 (average variance of prediction 0.33, standard error 0.574) was selected for the study area (Messinger and others, 2025). For the 405 candidate streamgages, annual peak-flow data through the 2021 water year ("VAskew_region1.pkf") and specification ("VAskew_region1.psf"), output ("VASKEW_REGION1.PRT"), and export ("VASKEW_REGION1.EXP") files from flood-frequency analysis in version 7.4.1 of USGS PeakFQ software (hereafter referred to as "PeakFQ"; Veilleux and others, 2014; Flynn and others, 2006) are provided. Two .csv files are provided, one describing the basin characteristics tested ("BasinCharsTested.csv") and the other ("VAskew_Region1.csv") containing site information (U.S. Geological Survey, 2023), results of flood-frequency analysis in PeakFQ, and, for the 112 streamgages used in the B-WLS/B-GLS regression, PRL, unbiased at-site skew, the B-WLS/B-GLS residual and metrics of leverage and influence. A geographic information systems (GIS) shapefile (.shp) containing a polygon representing the geographic extent of the study area is also included.
DOI: 10.15468/dl.zchx4z
title: Occurrence Download

description: A dataset containing 20626 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xolmis velatus (Lichtenstein, 1823)"
 ]
}

 The dataset includes 20626 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020609-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahqu59
title: Occurrence Download

description: A dataset containing 1370 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cypha longicornis (Paykull, 1800)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1370 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020611-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15065075
title: An Evaluation of Existing QSAR Models and Structural Alerts and Development of New Ensemble Models for Genotoxicity Using a Newly Compiled Experimental Dataset

description: Data files supporting manuscript Pradeep P, Judson R, DeMarini DM, Keshava N, Martin TM, Dean J, Gibbons CF, Simha A, Warren SH, Gwinn MR, Patlewicz G. 2021. An Evaluation of Existing QSAR Models and Structural Alerts and Development of New Ensemble Models for Genotoxicity Using a Newly Compiled Experimental Dataset. Computational Toxicology in press https://doi.org/10.1016/j.comtox.2021.100167
DOI: 10.5281/zenodo.15065076
title: An Evaluation of Existing QSAR Models and Structural Alerts and Development of New Ensemble Models for Genotoxicity Using a Newly Compiled Experimental Dataset

description: Data files supporting manuscript Pradeep P, Judson R, DeMarini DM, Keshava N, Martin TM, Dean J, Gibbons CF, Simha A, Warren SH, Gwinn MR, Patlewicz G. 2021. An Evaluation of Existing QSAR Models and Structural Alerts and Development of New Ensemble Models for Genotoxicity Using a Newly Compiled Experimental Dataset. Computational Toxicology in press https://doi.org/10.1016/j.comtox.2021.100167
DOI: 10.15468/dl.5smp3v
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Acrocephalus paludicola (Vieillot, 1817)",
 "Year 1975-2025"
 ]
}

 The dataset includes 305 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020612-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15062309
title: Multi crystal in situ data set from VMXi at Diamond Light Source: Bovine Insulin

description: In situ data set of cubic insulin data recorded on beamline VMXi at Diamond Light Source, shared to allow methods development and testing and comparison with similar cryo data sets also published.
DOI: 10.5281/zenodo.15062310
title: Multi crystal in situ data set from VMXi at Diamond Light Source: Bovine Insulin

description: In situ data set of cubic insulin data recorded on beamline VMXi at Diamond Light Source, shared to allow methods development and testing and comparison with similar cryo data sets also published.
DOI: 10.5066/p9hp8uxz
title: Soil microbes surrounding native and non-native Phragmites australis in the Great Lakes and East Coast of the United States (2015-2017 survey)

description: To determine the differences in soil microbial community composition between native and non-native lineages of Phragmites, we sampled soils from eight sites in the Great Lakes basin where populations of native and non-native Phragmites co-occurred. In addition, we included samples of soils from 27 populations of Phragmites across the Gulf of Mexico and Atlantic Coasts of the US. Samples were collected between July 2015 and September 2017. At each site in the Great Lakes, we sampled rhizosphere and bulk soil surrounding one ramet of each lineage. Samples from Atlantic and Gulf coasts were collected by homogenizing rhizosphere soils from multiple ramets of one population within a single lineage. DNA was extracted from soils and fungal, bacterial, and oomycete DNA was amplified to identify the microbial constituents. Amplicons were sequenced using Illumina MiSeq. This dataset includes outputs of bioinformatic analysis of sequences including operational taxonomic unit (OTU) generation, OTU abundance, resolved taxonomy, and environmental metadata collected in our survey. Raw sequences were uploaded to the NCBI Sequence Read Archive under SRA accession number PRJNA601975.
DOI: 10.15468/dl.38aqza
title: Occurrence Download

description: A dataset containing 1515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is CERMES Barbados Lionfish Derby Data"
 ]
}

 The dataset includes 1515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020613-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28640020
title: S2: Origin and tectono-metamorphic history of the Riffelberg–Garten meta-sedimentary ophiolitic unit, Western Alps

description: Table S2: summary of the composition of amphibole (Amp), pyroxene (Px), garnet (Grt), phengite (Phe), paragonite (Pg), epidote (Ep), and chloritoid (Cld) in the RGU matrix. Amphibole formula on the basis of 23 O atoms, pyroxene formula on the basis of 6 O atoms, garnet formula on the basis of 12 O atoms, white mica formula on the basis of 11 O atoms, epidote formula on the basis of 12.5 O atoms, and chloritoid formula on the basis of 12 O atoms. The first line reports the average and standard deviation and the second line reports the minimum and maximum value of atoms per formula unit (a.p.f.u.). Fe<sup>3+</sup> is calculated on the basis of charge balance. “n” is the number of analyses
DOI: 10.6084/m9.figshare.28640020.v1
title: S2: Origin and tectono-metamorphic history of the Riffelberg–Garten meta-sedimentary ophiolitic unit, Western Alps

description: Table S2: summary of the composition of amphibole (Amp), pyroxene (Px), garnet (Grt), phengite (Phe), paragonite (Pg), epidote (Ep), and chloritoid (Cld) in the RGU matrix. Amphibole formula on the basis of 23 O atoms, pyroxene formula on the basis of 6 O atoms, garnet formula on the basis of 12 O atoms, white mica formula on the basis of 11 O atoms, epidote formula on the basis of 12.5 O atoms, and chloritoid formula on the basis of 12 O atoms. The first line reports the average and standard deviation and the second line reports the minimum and maximum value of atoms per formula unit (a.p.f.u.). Fe<sup>3+</sup> is calculated on the basis of charge balance. “n” is the number of analyses
DOI: 10.6084/m9.figshare.28640023
title: S1: Origin and tectono-metamorphic history of the Riffelberg–Garten meta-sedimentary ophiolitic unit, Western Alps

description: Table S1: summary of the composition of amphibole (Amp), pyroxene (Px), garnet (Grt), phengite (Phe), paragonite (Pg), and epidote (Ep) in metabasite clasts. Amphibole formula on the basis of 23 O atoms, pyroxene formula on the basis of 6 O atoms, garnet formula on the basis of 12 O atoms, white mica formula on the basis of 11 O atoms, and epidote formula on the basis of 12.5 O atoms. The first line reports the average and standard deviation and the second line reports the minimum and maximum value of atoms per formula unit (a.p.f.u.). F<sup>3+</sup> is calculated on the basis of charge balance. “n” is the number of analyses.
DOI: 10.6084/m9.figshare.28640023.v1
title: S1: Origin and tectono-metamorphic history of the Riffelberg–Garten meta-sedimentary ophiolitic unit, Western Alps

description: Table S1: summary of the composition of amphibole (Amp), pyroxene (Px), garnet (Grt), phengite (Phe), paragonite (Pg), and epidote (Ep) in metabasite clasts. Amphibole formula on the basis of 23 O atoms, pyroxene formula on the basis of 6 O atoms, garnet formula on the basis of 12 O atoms, white mica formula on the basis of 11 O atoms, and epidote formula on the basis of 12.5 O atoms. The first line reports the average and standard deviation and the second line reports the minimum and maximum value of atoms per formula unit (a.p.f.u.). F<sup>3+</sup> is calculated on the basis of charge balance. “n” is the number of analyses.
DOI: 10.6084/m9.figshare.28640026
title: S3: Origin and tectono-metamorphic history of the Riffelberg–Garten meta-sedimentary ophiolitic unit, Western Alps

description: Table S3: summary of the PT estimates in metabasite and metagabbro elements, and type 3 RGU matrix.
DOI: 10.6084/m9.figshare.28640026.v1
title: S3: Origin and tectono-metamorphic history of the Riffelberg–Garten meta-sedimentary ophiolitic unit, Western Alps

description: Table S3: summary of the PT estimates in metabasite and metagabbro elements, and type 3 RGU matrix.
DOI: 10.34622/datarepositorium/kspp04
title: Postural Education Programmes with School Children: A Scoping Review

description: Spinal deformities and back pain have been a growing problem in childhood and adolescence due to several unhealthy habits. The present study undertakes a scoping review to identify scientific studies with school children focusing on methodologies used, identifying the implementation key factors and gaps, and results of postural education programmes.
DOI: 10.5281/zenodo.15062349
title: Multi crystal in situ data set from VMXi at Diamond Light Source: Unclassified

description: In situ data set of cubic insulin data recorded on beamline VMXi at Diamond Light Source, shared to allow methods development and testing and comparison with similar cryo data sets also published.
DOI: 10.5281/zenodo.15062350
title: Multi crystal in situ data set from VMXi at Diamond Light Source: Unclassified

description: In situ data set of cubic insulin data recorded on beamline VMXi at Diamond Light Source, shared to allow methods development and testing and comparison with similar cryo data sets also published.
DOI: 10.5281/zenodo.15064997
title: NeuroScale

description: NeuroScale: Evolutional Scale-Based Protein Language Models Enable Prediction of Neuropeptides
DOI: 10.5281/zenodo.15064998
title: NeuroScale

description: NeuroScale: Evolutional Scale-Based Protein Language Models Enable Prediction of Neuropeptides
DOI: 10.15468/dl.kgjuqm
title: Occurrence Download

description: A dataset containing 19994688 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 19994688 records from 2180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020544-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1133626.10fu
title: SH1133626.10FU

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/sh1133627.10fu
title: SH1133627.10FU

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/sh1133628.10fu
title: SH1133628.10FU

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/sh1133634.10fu
title: SH1133634.10FU

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/sh1133636.10fu
title: SH1133636.10FU

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/sh1133637.10fu
title: SH1133637.10FU

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/sh1133640.10fu
title: SH1133640.10FU

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/sh1133643.10fu
title: SH1133643.10FU

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/sh1133644.10fu
title: SH1133644.10FU

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.