cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0185821.10fu
title: SH0185821.10FU

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/sh0185822.10fu
title: SH0185822.10FU

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: 10.7910/dvn/ctc01v
title: US Centers for Disease Control and Prevention (CDC) National Environmental Public Health Tracking Network (NEPHTN) Indicator: Vulnerability and Preparedness: Precipitation and Flooding

description: The National Environmental Public Health Tracking Network (NEPHTN) Indicator: Vulnerability and Preparedness: Precipitation and Flooding dataset presents standardized, county-level estimates of land, population, and housing units in designated flood hazard areas. The data are based on FEMA and EPA EnviroAtlas flood hazard maps of the contiguous United States.
description: <b>Intended Use</b>Geospatial exposure assessment for public health studies on longer-term outcomesGeospatial exposure assessment at the individual-level or population-level<br><b>Strengths</b>Data available for geographic units commonly used in population-level analyses (i.e., Census tract, county) in tabular format<br><b>Limitations</b>Estimates of population in designated flood hazard areas do not account for seasonal patterns (e.g., dataset may underestimate population at risk in coastal areas with high seasonal tourism)Estimates of population in designated flood hazard areas do not account for seasonal patterns (e.g., dataset may underestimate population at risk in coastal areas with high seasonal tourism)<br><b>Suggested Audience</b>ResearcherGeneral Public<br>
DOI: 10.15156/bio/sh0185823.10fu
title: SH0185823.10FU

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/sh0185824.10fu
title: SH0185824.10FU

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/sh0185825.10fu
title: SH0185825.10FU

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/sh0185826.10fu
title: SH0185826.10FU

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: 10.5066/p970qvb1
title: Dune Metrics for the Massachusetts Coast as Derived From 2013-14 Topographic Lidar Data

description: This data release of dune metrics for the Massachusetts coast is part of a 2018 update to the Massachusetts Shoreline Change Project. Because of continued coastal population growth and the increased threat of coastal erosion, the Massachusetts Office of Coastal Zone Management (CZM) launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. Maps of historic shoreline locations from the mid-1800s to 1978 were produced from multiple data sources, and in 2001, a 1994 shoreline was added to enable the calculation of long- and short-term shoreline change rates. In 2013, the U.S. Geological Survey (USGS), in cooperation with CZM, delineated an additional oceanfront shoreline using 2007 topographic lidar data and 2008-9 color aerial orthoimagery.  Further cooperation between CZM and the USGS resulted in this 2018 update, intended to increase the understanding of coastal erosion and to support coastal management decision making. This update includes beach shorelines, marsh shorelines, and dune metrics, all of which were derived from topographic lidar data. This data release, which is part of the 2018 update, defines the position and elevation of the most seaward dune crest and toe along the Massachusetts coast as derived from 2013-14 lidar data. In the absence of a dune, the peak of the berm or the seaward edge of a bluff, headland, or hard structure (for example, a seawall, road, or parking lot) was chosen as a proxy for the dune crest. Where possible, the dune toe was placed at the base of the proxy feature.
DOI: 10.5281/zenodo.14922192
title: Crystal engineering of monometallic lanthanide(iii) supramolecular systems within the N3-tridentate hydrazone Schiff-base ligand

description: A comprehensive series of mononuclear Ln(III) complexes based on N3-tridentate Schiff-base ligand L have been synthesized using triflate or nitrate lanthanide(III) metal salts. X-ray structural characterization shows that the obtained complexes exhibit a variety of coordination modes around the Ln(III) centers tuned through appropriate counterions and reaction conditions. Examination of the above-mentioned factors reveals that, in the case of all lanthanide assemblies, we observe anion-driven structural diversity. Tuning of the crystal structure of the formed supramolecular systems is also highly influenced by the lanthanide contraction phenomenon, directly resulting in a series of isostructural groups, with general formulae of [ML2(OTf)nX3−n](OTf)3−n, if n = 2, X = MeCN (except for Yb), and if n = 1, X = MeOH in the triflate series, and [ML(NO3)3(X)](Y), where X and Y represent MeOH, MeCN or H2O, respectively, in the nitrate series. The present study gives insight into the lanthanide contraction phenomenon within the tridentate N-heterocyclic coordination architectures of Ln(III) systems and can serve for targeted manipulation of properties through molecular tectonics and crystal engineering aspects in the domains, where subtle changes of the Ln(III) coordination spheres are important like molecular magnetism or catalysis.
description: This work was supported by: SONATA grant UMO-2020/39/D/ST4/01182 and PRELUDIUM grant UMO-2022/45/N/ST4/00344 from the National Science Centre, Poland, and by the University of Catania, PIACERI 2020/2022, Linea di Intervento 2.
DOI: 10.5281/zenodo.15742099
title: Crystal engineering of monometallic lanthanide(iii) supramolecular systems within the N3-tridentate hydrazone Schiff-base ligand

description: A comprehensive series of mononuclear Ln(III) complexes based on N3-tridentate Schiff-base ligand L have been synthesized using triflate or nitrate lanthanide(III) metal salts. X-ray structural characterization shows that the obtained complexes exhibit a variety of coordination modes around the Ln(III) centers tuned through appropriate counterions and reaction conditions. Examination of the above-mentioned factors reveals that, in the case of all lanthanide assemblies, we observe anion-driven structural diversity. Tuning of the crystal structure of the formed supramolecular systems is also highly influenced by the lanthanide contraction phenomenon, directly resulting in a series of isostructural groups, with general formulae of [ML2(OTf)nX3−n](OTf)3−n, if n = 2, X = MeCN (except for Yb), and if n = 1, X = MeOH in the triflate series, and [ML(NO3)3(X)](Y), where X and Y represent MeOH, MeCN or H2O, respectively, in the nitrate series. The present study gives insight into the lanthanide contraction phenomenon within the tridentate N-heterocyclic coordination architectures of Ln(III) systems and can serve for targeted manipulation of properties through molecular tectonics and crystal engineering aspects in the domains, where subtle changes of the Ln(III) coordination spheres are important like molecular magnetism or catalysis.
description: This work was supported by: SONATA grant UMO-2020/39/D/ST4/01182 and PRELUDIUM grant UMO-2022/45/N/ST4/00344 from the National Science Centre, Poland, and by the University of Catania, PIACERI 2020/2022, Linea di Intervento 2.
DOI: 10.15468/dl.yk4mpd
title: Occurrence Download

description: A dataset containing 52672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Saint Vincent and the Grenadines, Grenada)"
 ]
}

 The dataset includes 52672 records from 423 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069155-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15741738
title: A Combined PGD-PGV Scaling Law from GNSS for the G-FAST Earthquake Early Warning Module

description: Contains all data files for manuscript of the same name including processed displacement and velocity waveforms and event information spreadsheet.
DOI: 10.5281/zenodo.15741737
title: A Combined PGD-PGV Scaling Law from GNSS for the G-FAST Earthquake Early Warning Module

description: Contains all data files for manuscript of the same name including processed displacement and velocity waveforms and event information spreadsheet.
DOI: 10.15468/dl.t5xbuj
title: Occurrence Download

description: A dataset containing 52672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Saint Vincent and the Grenadines, Grenada)"
 ]
}

 The dataset includes 52672 records from 423 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069158-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cke7mj
title: Occurrence Download

description: A dataset containing 3383376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae, Undaria pinnatifida (Harv.) Suringar)",
 "Country is New Zealand",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 0",
 "DecimalLongitude is greater than or equal to -180",
 "DecimalLatitude is greater than or equal to -90",
 {
 "not" : {
 "or" : [
 "Issue is Zero coordinate",
 "Issue is Coordinate out of range",
 "Issue is Country coordinate mismatch"
 ]
 }
 }
 ]
}

 The dataset includes 3383376 records from 283 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069150-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zdgcdf
title: Occurrence Download

description: A dataset listing the 12001 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Catálogo de Plantas das Unidades de Conservação do Brasil"
 ]
}

 The dataset's 12001 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069159-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/f72z140x
title: Water level measurements collected in West Falmouth Harbor, MA, 2016: U.S. Geological Survey data release

description: Water-level gauges were deployed at two sites in West Falmouth Harbor between May and October 2016. Two sequential  deployments were required to provide measurements for the entire period.  One gauge was mounted under the town-owned West Falmouth boat dock and the other on the private Associates dock near the mouth of the Harbor.  Each gauge  supported two pressure sensors mounted in a stilling well to damp wave motions. The stilling wells were 4-inch diameter PVC tubes drilled with several 1/4-inch holes above and below water level. The upper sensor at each site was intended to remain above the water surface to measure atmospheric pressure; the lower sensor was intended to remain constantly submerged to measure tides and surge. The upper sensor at the boat dock was mounted too low, and was often submerged at high tide, so data from the upper sensor at the Associates dock was used to make atmospheric pressure corrections for both sites.
DOI: 10.17605/osf.io/3mvx2
title: TEAM-Red

description: A Pilot RCT of a Remotely Delivered Self-management Program (TEAM-Red) for Depressed Young African American Women at Risk for Hypertension (HTN)
DOI: 10.5281/zenodo.15742116
title: The Joint Undertaking for Morphological Profiling (JUMP) Consortium Datasets

description: What's Changed

We switched over to using profile_index.json  instead of profile_index.csv



chore: Replace profile index file format (csv->json) by @afermg in https://github.com/jump-cellpainting/datasets/pull/152

fix(upload_index.sh): replace csv->json by @afermg in https://github.com/jump-cellpainting/datasets/pull/153

fix(upload_index.sh): upload parser one-liner by @afermg in https://github.com/jump-cellpainting/datasets/pull/154


Full Changelog: https://github.com/jump-cellpainting/datasets/compare/v0.9.0...v0.10.0
DOI: 10.15468/dl.s4scms
title: Occurrence Download

description: A dataset containing 3411 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is USA.4_1",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Euonymus fortunei (Turcz.) Hand.-Mazz., Lonicera japonica Thunb., Lonicera maackii (Rupr.) Maxim., Ligustrum sinense Lour., Pyrus calleryana Decne., Rosa multiflora Thunb., Vinca minor L., Celastrus orbiculatus Thunb., Euonymus alatus (Thunb.) Siebold, Microstegium vimineum (Trin.) A.Camus, Arthraxon hispidus (Thunb.) Makino)",
 "Year 2020-2025"
 ]
}

 The dataset includes 3411 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069161-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15391937
title: Sifting for a Stream: The Morphology of the 300S Stellar Stream

description: This is the data associated with the paper Sifting for a Stream: The Morphology of the 300S Stellar Stream. We include:



Machine readable tables of the spline node values with medians as well as 16% and 84% quantiles for each of the three models (the Sgr model and the 300S models from Methods 1 and 2).

Machine readable tables of all spline node samples. These can be used to generate the splines using a natural cubic spline interpolator. In Python, this can be achieved through the "CubicSpline" object in the "scipy.interpolate" library using bc_type = 'natural'.

Machine readable tables of the present day positions and velocities of the particles from the dynamical simulation. 


Further documentation and examples of loading the data can be found in the associated Jupyter notebooks.
DOI: 10.5281/zenodo.15391938
title: Sifting for a Stream: The Morphology of the 300S Stellar Stream

description: This is the data associated with the paper Sifting for a Stream: The Morphology of the 300S Stellar Stream. We include:



Machine readable tables of the spline node values with medians as well as 16% and 84% quantiles for each of the three models (the Sgr model and the 300S models from Methods 1 and 2).

Machine readable tables of all spline node samples. These can be used to generate the splines using a natural cubic spline interpolator. In Python, this can be achieved through the "CubicSpline" object in the "scipy.interpolate" library using bc_type = 'natural'.

Machine readable tables of the present day positions and velocities of the particles from the dynamical simulation. 


Further documentation and examples of loading the data can be found in the associated Jupyter notebooks.
DOI: 10.5519/qd.in7742pw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (55 records)
DOI: 10.15468/dl.8d856w
title: Occurrence Download

description: A dataset containing 52672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Saint Vincent and the Grenadines, Grenada)"
 ]
}

 The dataset includes 52672 records from 423 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069162-250525065834625/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.28100567
title: Data of Phylogenomics and the evolution of larval feeding habits in the blow flies (Diptera: Calliphoridae), Beza-Beza et al.

description: We used protein-coding nuclear genes obtained through anchored hybrid enrichment (AHE) to analyze the evolutionary relationships among blow flies (Diptera: Calliphoridae) and their close relatives. By incorporating four fossils, we generated a time-calibrated phylogenetic tree and utilized literature records of larval feeding habits to reconstruct the ancestral feeding strategies of the group.
DOI: 10.6084/m9.figshare.28100567.v1
title: Data of Phylogenomics and the evolution of larval feeding habits in the blow flies (Diptera: Calliphoridae), Beza-Beza et al.

description: We used protein-coding nuclear genes obtained through anchored hybrid enrichment (AHE) to analyze the evolutionary relationships among blow flies (Diptera: Calliphoridae) and their close relatives. By incorporating four fossils, we generated a time-calibrated phylogenetic tree and utilized literature records of larval feeding habits to reconstruct the ancestral feeding strategies of the group.
DOI: 10.6084/m9.figshare.28100567.v2
title: Data of Phylogenomics and the evolution of larval feeding habits in the blow flies (Diptera: Calliphoridae), Beza-Beza et al.

description: We used protein-coding nuclear genes obtained through anchored hybrid enrichment (AHE) to analyze the evolutionary relationships among blow flies (Diptera: Calliphoridae) and their close relatives. By incorporating four fossils, we generated a time-calibrated phylogenetic tree and utilized literature records of larval feeding habits to reconstruct the ancestral feeding strategies of the group.
DOI: 10.5281/zenodo.15742091
title: Linguistic Criteria for Word Class Distinctions and Overlap in 11 Languages

description: This dataset was created as part of an MA thesis that can be found in the University of Amsterdam's Master's Thesis repository. The title of the thesis is A typology of word class descriptions. This data includes detailed information on the linguistic criteria (phonological, morphological, syntactic, semantic, and combinations of these) for word class distinctions and cases of overlap in nouns, verbs, adjectives, and adverbs in a diverse set of eleven languages.