cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22581952.v1
title: Supplementary Material for: The key role of a Psychoactive Substance Use History in comprehensive cardiovascular risk assessment, diagnosis, treatment, and prevention

description: Abstract Background: Psychoactive substances have toxic effects resulting different cardiovascular and non-cardiovascular organ damage. Through a variety of mechanisms, they can trigger the onset of various forms of cardiovascular disease: acute or chronic, transient or permanent, subclinical or symptomatic. Hence, a thorough knowledge of the patient’s drug habits is essential for a more complete clinical-etiopathogenetic diagnosis and consequent therapeutic, preventive, and rehabilitative management. Summary: The prime reason for taking a Psychoactive Substance Use History in the cardiovascular context is to identify those people who use substances (whether habitual or occasional users, symptomatic or not) and adequately assess their overall cardiovascular risk profile in terms of user status and type of substance used. And, finally, to assess the likelihood of persistence in the habit or relapse, which would maintain their cardiovascular risk profile high. A psychoactive substance history could also alert the physician to suspect, and eventually diagnose, cardiovascular disease related to the intake of psychoactive substances, so optimizing the medical management of users. Taking such a history should be mandatory when a causal connection is suspected between intake of psychoactive substances and the observed symptoms or pathology, regardless of whether the individual is a declared user or not. Key Messages: The purpose of this article is to provide practical information on when, how and why to perform a Psychoactive Substance Use History.
DOI: 10.6084/m9.figshare.22581955
title: Supplementary Material for: The key role of a Psychoactive Substance Use History in comprehensive cardiovascular risk assessment, diagnosis, treatment, and prevention

description: Abstract Background: Psychoactive substances have toxic effects resulting different cardiovascular and non-cardiovascular organ damage. Through a variety of mechanisms, they can trigger the onset of various forms of cardiovascular disease: acute or chronic, transient or permanent, subclinical or symptomatic. Hence, a thorough knowledge of the patient’s drug habits is essential for a more complete clinical-etiopathogenetic diagnosis and consequent therapeutic, preventive, and rehabilitative management. Summary: The prime reason for taking a Psychoactive Substance Use History in the cardiovascular context is to identify those people who use substances (whether habitual or occasional users, symptomatic or not) and adequately assess their overall cardiovascular risk profile in terms of user status and type of substance used. And, finally, to assess the likelihood of persistence in the habit or relapse, which would maintain their cardiovascular risk profile high. A psychoactive substance history could also alert the physician to suspect, and eventually diagnose, cardiovascular disease related to the intake of psychoactive substances, so optimizing the medical management of users. Taking such a history should be mandatory when a causal connection is suspected between intake of psychoactive substances and the observed symptoms or pathology, regardless of whether the individual is a declared user or not. Key Messages: The purpose of this article is to provide practical information on when, how and why to perform a Psychoactive Substance Use History.
DOI: 10.6084/m9.figshare.22581955.v1
title: Supplementary Material for: The key role of a Psychoactive Substance Use History in comprehensive cardiovascular risk assessment, diagnosis, treatment, and prevention

description: Abstract Background: Psychoactive substances have toxic effects resulting different cardiovascular and non-cardiovascular organ damage. Through a variety of mechanisms, they can trigger the onset of various forms of cardiovascular disease: acute or chronic, transient or permanent, subclinical or symptomatic. Hence, a thorough knowledge of the patient’s drug habits is essential for a more complete clinical-etiopathogenetic diagnosis and consequent therapeutic, preventive, and rehabilitative management. Summary: The prime reason for taking a Psychoactive Substance Use History in the cardiovascular context is to identify those people who use substances (whether habitual or occasional users, symptomatic or not) and adequately assess their overall cardiovascular risk profile in terms of user status and type of substance used. And, finally, to assess the likelihood of persistence in the habit or relapse, which would maintain their cardiovascular risk profile high. A psychoactive substance history could also alert the physician to suspect, and eventually diagnose, cardiovascular disease related to the intake of psychoactive substances, so optimizing the medical management of users. Taking such a history should be mandatory when a causal connection is suspected between intake of psychoactive substances and the observed symptoms or pathology, regardless of whether the individual is a declared user or not. Key Messages: The purpose of this article is to provide practical information on when, how and why to perform a Psychoactive Substance Use History.
DOI: 10.5517/ccdc.csd.cc2888pj
title: CCDC 2093327: Experimental Crystal Structure Determination

description: Related Article: Yuxiang Xin, Yijia Zhou, Longzhang Dong, Pengpeng Wei, Xiaoyan Zou, Fengming Zhang, Guangming Li|2022|New J.Chem.|46|3909|doi:10.1039/D1NJ06090B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/5362632
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.22581967.v1
title: Untitled Item

description: Data on work-family conflict and proactive innovation behavior.
DOI: 10.6084/m9.figshare.22581967
title: Untitled Item

description: Data on work-family conflict and proactive innovation behavior.
DOI: 10.6084/m9.figshare.22014491
title: dft computational data.rar

description: The relevant QTAIM and NCI analysis files and the corresponding Gaussian 09 output files for the key intermediates and transition states
DOI: 10.17909/6zsc-zr08
title: SWP spectra HD 37776
DOI: 10.35090/gatech/70328
title: Temperature, Salinity and Velocity Data Derived from the OSNAP Array between August 2014 and May 2018
title: OSNAP Gridded TSV 2014-08 to 2018-05
DOI: 10.13140/rg.2.2.28558.02880
title: Становлення обчислювальних потреб та етапи розвитку інформаційних технологій
DOI: 10.6084/m9.figshare.22581100
title: Students' stories about historic memory in Colombia

description: This two stories were produced by English language learners within the project that sought to place community stories about violence in Colombia as a way to preserve historical memory of the country.
DOI: 10.6084/m9.figshare.22581100.v1
title: Students' stories about historic memory in Colombia

description: This two stories were produced by English language learners within the project that sought to place community stories about violence in Colombia as a way to preserve historical memory of the country.
DOI: 10.5281/zenodo.7813617
title: poicephalus_rueppellii_zanfona_1.fasta.gz

description: .
DOI: 10.35078/jgwh5t
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Caratinga| Município: Conselheiro Pena

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.15468/dl.updp5c
title: Occurrence Download

description: A dataset containing 624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ciconia boyciana Swinhoe, 1873",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 624 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051544-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h2js2j
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-88.44475 15.57243,-88.37196 15.34859,-87.85698 15.34721,-87.88719 15.61913,-88.44475 15.57243))",
 "TaxonKey is Craugastor laevissimus (Werner, 1896)"
 ]
}

 The dataset includes 34 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038982-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdjxsa
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonchophylla hesperia G.M.Allen, 1908",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 34 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008769-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvt8x7
title: Occurrence Download

description: A dataset containing 2209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-27.77344 15.89373,76.99219 15.89373,76.99219 72.79529,-27.77344 72.79529,-27.77344 15.89373))",
 "HasGeospatialIssue is false",
 "TaxonKey is Syritta pipiens (Linnaeus, 1758)"
 ]
}

 The dataset includes 2209 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0325132-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mnzf4m
title: Occurrence Download

description: A dataset containing 1831905 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Greece"
 ]
}

 The dataset includes 1831905 records from 1339 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038207-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.77zucw
title: Occurrence Download

description: A dataset containing 841 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Bubo nipalensis Hodgson, 1836"
 ]
}

 The dataset includes 841 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297744-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t8is0i
title: Occurrence Download

description: A dataset containing 8784 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taricha torosa (Rathke, 1833)"
 ]
}

 The dataset includes 8784 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008769-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbqwjx
title: Occurrence Download

description: A dataset containing 2451955 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Unknown evidence"
 ]
 },
 "Continent is South America",
 {
 "or" : [
 "Country is Brazil",
 "Country is Paraguay",
 "Country is Argentina"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2451955 records from 442 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0255259-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0919701.10fu
title: SH0919701.10FU

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/sh0919702.10fu
title: SH0919702.10FU

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/sh0919703.10fu
title: SH0919703.10FU

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/sh0919704.10fu
title: SH0919704.10FU

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/sh0919705.10fu
title: SH0919705.10FU

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/sh0919706.10fu
title: SH0919706.10FU

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/sh0919707.10fu
title: SH0919707.10FU

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: 10.15468/dl.b75zfq
title: Occurrence Download

description: A dataset containing 855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dipodomys stephensi (Merriam, 1907)"
 ]
}

 The dataset includes 855 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098594-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0919708.10fu
title: SH0919708.10FU

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/sh0919709.10fu
title: SH0919709.10FU

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.