cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/b4r9srvshr.2
title: Pharmacogenetic and PK/PD study after infiltrative application of lidocaine associated or not with epinephrine in saliva samples by LC MS/MS

description: The individualization of drug prescription has increasingly become the focus of current research in pharmacology so that the adverse effects of drugs are minimized whenever possible. Some studies in the current literature show the relationship that cytochrome P450 polymorphisms, more specifically CYP3A4 and CYP1A2, exert on the metabolism of lidocaine into its main metabolite, monoethyl-glycinexylidide (MEGX). Lidocaine is the most used local anesthetic in dentistry worldwide, being one of the oldest sodium channel blockers on the market and considered the safest amide local anesthetic. Even so, it can cause some side effects on the cardiovascular system and the central nervous system, especially when accidental administration occurs directly into a blood vessel, and the association with vasoconstrictors, especially epinephrine, is a strategy to minimize these effects. In this research, clinical data will be collected from the largest possible number of volunteers in the first 18 months of the project, who will attend two different dental appointments, according to the protocol, for scaling and crown-radicular polishing, sulcular infiltrative injection in the region of maxillary molars of a cartridge of lidocaine associated or not with 1:100,000 epinephrine. For the pharmacokinetic (PK) study, saliva samples will be collected. For the pharmacodynamic parameters (PD), variations in blood pressure, oximetry, and heart rate will be evaluated during the procedure, in addition to the beginning and duration of local anesthesia in soft tissues. Altogether, data will be analyzed for CYP3A4 and CYP1A2 polymorphisms and their relationship with individual patient responses.
DOI: 10.17632/xxyct74fdp
title: LINF_170008600

description: WD40 repeat-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/xxyct74fdp.1
title: LINF_170008600

description: WD40 repeat-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.15156/bio/sh1374135.10fu
title: SH1374135.10FU

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/sh1374137.10fu
title: SH1374137.10FU

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/sh1374138.10fu
title: SH1374138.10FU

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/sh1374140.10fu
title: SH1374140.10FU

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/sh1374141.10fu
title: SH1374141.10FU

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/sh1374142.10fu
title: SH1374142.10FU

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/sh1374143.10fu
title: SH1374143.10FU

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/sh1374146.10fu
title: SH1374146.10FU

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/sh1374148.10fu
title: SH1374148.10FU

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/sh1374150.10fu
title: SH1374150.10FU

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: 10.6084/m9.figshare.30468626.v2
title: Supplementary Data for "Recent explosive lava-water interaction in Tharsis, Mars"

description: This repository contains supplementary datasets that extend the results presented in the main manuscript, which focuses on identifying small-scale edifices interpreted as Martian rootless cones. The repository includes digital elevation models (DEMs) derived from HiRISE and CTX imagery using the MarsSI system, which were employed for 3D visualizations and morphological analyses. Furthermore, shapefiles of the mapped edifices south of Ascraeus Mons and other rootless cones across Mars are provided; these were used for both HiRISE image– and DEM-based morphometric measurements. The resulting morphometric data were used to prepare plots comparing parameters among the analyzed edifices. The repository also provides CRISM datasets together with the derived spectral results, including the locations of the regions of interest (ROIs) and their averaged reflectance spectra. In addition, it contains all datasets supporting the crater counting analyses, including shapefiles of the dated lava flows and mapped impact craters within these units.
DOI: 10.3535/dnc-hf8-x9f
title: Eremopyrum triticeum (Gaertn.) Nevski

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h28-lf6-g41
title: Agropyron Gaertn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h9j-ewb-2js
title: Eremopyrum orientale (L.) Jaub. & Spach

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wxv-xnz-sdj
title: Eremopyrum orientale (L.) Jaub. & Spach

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/f1g-wsx-cax
title: Agropyron Gaertn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/sb4-krw-928
title: Lasiacis maculata (Aubl.) Urb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr33527
title: Uniform Crime Reporting Program Data: Supplementary Homicide Reports, 2010
title: Archival Version

description: The UNIFORM CRIME REPORTING PROGRAM DATA: SUPPLEMENTARY HOMICIDE REPORTS, 2010 (SHR) provide detailed information on criminal homicides reported to the police. These homicides consist of murders; non-negligent killings also called non-negligent manslaughter; and justifiable homicides. UCR Program contributors compile and submit their crime data by one of two means: either directly to the FBI or through their State UCR Programs. State UCR Programs frequently impose mandatory reporting requirements which have been effective in increasing both the number of reporting agencies as well as the number and accuracy of each participating agency's reports. Each agency may be identified by its numeric state code, alpha-numeric agency ("ORI") code, jurisdiction population, and population group. In addition, each homicide incident is identified by month of occurrence and situation type, allowing flexibility in creating aggregations and subsets.
description: Datasets: 
DS1: Uniform Crime Reporting Program Data: Supplementary Homicide Reports, 2010
description: Homicide incidents reported by law enforcement agencies in the United States.
description: mail questionnaireStarting with the year 1998, each of the four parts of the UCR data collection archived by ICPSR is released as a separate study under its own study number. The Supplementary Homicide Reports data for the years 1975-1997 can be found in UNIFORM CRIME REPORTING PROGRAM DATA: 1975-1997 (ICPSR 9028).This data collection was produced by the United States Department of Justice, Federal Bureau of Investigation.The unit of analysis in this dataset is the homicide "incident" as defined by the Uniform Crime Reporting (UCR) Program. Thus, information on the victim(s), the offender(s), the relationship between these individuals, the weapons used, and the circumstances surrounding the homicide are provided by incident. Up to eleven offenders can be involved in an incident. The Uniform Crime Reporting Program (UCR) is a data collection effort designed to provide an overall view of crime in the United States. Data for the UCR have been gathered by the Federal Bureau of Investigation (FBI) since 1930. The data are compiled from law enforcement agencies on a monthly basis. UCR data housed at the Inter-university Consortium for Political and Social Research (ICPSR) include: OFFENSES KNOWN AND CLEARANCES BY ARREST (also know as RETURN A), PROPERTY STOLEN AND RECOVERED (also known as SUPPLEMENT TO RETURN A), SUPPLEMENTARY HOMICIDE REPORTS (SHR), and POLICE EMPLOYEE (LEOKA) DATA. The UCR data for 1975-1997 are archived under ICPSR study number 9028. Starting with the 1998 UCR data each of the main data files comprising the UCR has been given its own ICPSR study number. New study numbers will be issued each year for OFFENSES KNOWN AND CLEARANCES BY ARREST, PROPERTY STOLEN AND RECOVERED, SUPPLEMENTAL HOMICIDE REPORTS, and POLICE EMPLOYEE (LEOKA) DATA. Each UCR data file, regardless of study number, has its own documentation specific to it.
DOI: 10.3535/q9d-pe2-vqe
title: Eremopyrum orientale (L.) Jaub. & Spach

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ssn-h1b-ays
title: Erica chamissonis var. hirtifolia Dulfer

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tt3-vby-wsl
title: Lasiacis ligulata Hitchc. & Chase

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zg9-nwb-z0e
title: Erica accommodata Klotzsch ex Benth.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/e3d-jlg-pvz
title: Erica anguliger (N. E. Br.) E. G. H. Oliv.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kq7-4h6-4lf
title: Erica atricha Dulfer

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rwz-bd7-wze
title: Eremopyrum triticeum (Gaertn.) Nevski

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6v8-mfk-gcx
title: Eremopyrum distans (K.Koch) Nevski

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8ll-jtx-c3e
title: Agropyron Gaertn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8mx-qxy-fv7
title: Erica silvatica (Welw. ex Engl.) Beentje

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr30761
title: Uniform Crime Reporting Program Data: Arrests by Age, Sex, and Race, United States, 2009
title: Archival Version

description: These data provide information on the number of arrests
reported to the Federal Bureau of Investigation's Uniform Crime
Reporting (UCR) Program each year by police agencies in the United
States. These arrest reports provide data on 43 offenses including
violent crime, drug use, gambling, and larceny. The data received by
ICPSR were structured as a hierarchical file containing (per reporting
police agency) an agency header record, 1 to 12 monthly header
records, and 1 to 43 detail offense records containing the counts of
arrests by age, sex, and race for a particular offense. ICPSR
restructured the original data to a rectangular format.
description: Datasets: 
DS1: Uniform Crime Reporting Program Data: Arrests by Age, Sex, and Race, United States, 2009
description: Arrests reported by law enforcement agencies to the Federal Bureau of Investigation's Uniform Crime Reporting program. Smallest Geographic Unit: states, counties, cities
description: mail questionnaire; on-site questionnaire
DOI: 10.3535/l2q-8cb-ra5
title: Erica chamissonis Klotzsch ex Benth.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zzj-lk8-da0
title: Lasiacis ligulata Hitchc. & Chase

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9lx-6dt-9nk
title: Agropyron Gaertn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zrc-sf0-r7t
title: Lasiacis maculata (Aubl.) Urb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/s5w-ejt-lzh
title: × Elyleymus strictus (Rchb.) Conert

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/znb-wbc-ng7
title: × Elyleymus strictus (Rchb.) Conert

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/a95-5dj-h84
title: Panicum auritum J.Presl ex Nees

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ycj-047-1wt
title: Elymus longearistatus (Boiss.) Tzvelev

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr34603
title: National Incident-Based Reporting System, 2011: Extract Files
title: Archival Version

description: The National Incident-Based Reporting System (NIBRS) is a
part of the Uniform Crime Reporting Program (UCR), administered by the
Federal Bureau of Investigation (FBI). The extract files version of
NIBRS was created to simplify working with NIBRS data. Data management
issues with NIBRS are significant, especially when two or more segment
levels are being merged. These issues require skills separate from
data analysis. NIBRS data as formatted by the FBI are stored in a
single file. These data are organized by various segment levels
(record types). There are six main segment levels: administrative,
offense, property, victim, offender, and arrestee. Each segment level
has a different length and layout. There are other segment levels that
occur with less frequency than the six main levels. Significant
computing resources are necessary to work with the data in its
single-file format. In addition, the user must be sophisticated in
working with data in complex file types. For these reasons and the
desire to facilitate the use of NIBRS data, ICPSR created the extract
files. The data are not a representative sample of crime in the United
States.
description: Datasets: 
DS0: Study-Level Files
DS1: Incident-Level File
DS2: Victim-Level File
DS3: Offender-Level File
DS4: Arrestee-Level File
description: Law enforcement agencies in the United States
participating in the National Incident-Based Reporting System. Smallest Geographic Unit: city
description: record abstracts