cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr34920
title: Start Strong Evaluation Student Survey Data, 2010-2012
title: Archival Version

description: This longitudinal survey of middle school students was conducted as
part of the evaluation of Start Strong: Building Healthy Teen
Relationships, a national program to prevent teen dating violence and
abuse by teaching 11- to- 14-year-olds about healthy relationships.
Start Strong was was an initiative of the Robert Wood Johnson
Foundation (RWJF) in collaboration with the Blue Shield of California
Foundation and Futures Without Violence. Eight schools in three of the
Start Strong sites participated in the evaluation, four implementing
Start Strong and four which did not have any teen dating violence
prevention programs. Topics covered by the four waves of the survey,
which were conducted in fall 2010, spring 2011, fall 2011 and spring
2012, include self-confidence, self-reported school grades, coping
with anger and disagreements, gender roles in relationships, dating violence, bullying, communication with parents and teachers, alcohol use, dating and relationship history, social media use, age of dating partners, school and community resources for dating violence victims, and family background.
description: Response Rates: A total of 2,626 students in the eight evaluation schools were eligible to participate at baseline (wave 1). Parental consent and student assent were obtained from 1,517 students (58 percent). Ninety four percent of the 1,517 students responded in wave 1, 92 percent in wave 2, 86 percent in wave 3 and 83
percent in wave 4.
description: Presence of Common Scales: The data file contains computed scales on bullying; sexual harassment; parent-child communication; classroom climate; relationship satisfaction, support, criticism and dominance; and teen dating/partner violence victimization.
description: The evaluation sites were chosen based on the following criteria: implementation of Safe Dates (one of the two Start Strong adolescent dating abuse prevention curricula) to 7th grade students during the 2010-2011 school term; a minimum of 100 students per grade in order to have adequate statistical power; and feasibility of participation in the evaluation. Intervention schools were matched with comparison schools based on school size, the percent of students on free or reduced lunch, race/ethnicity, and metropolitan area characteristics. Eligibility criteria for students at participating schools included being able to complete the instrument in English and not being in a self-contained classroom.
description: Datasets: 
DS0: Study-Level Files
DS1: Public Use Version of the Data
DS2: Restricted Use Version of the Data
description: Students who were in the 7th grade in the 2010-2011 school year.
description: on-site questionnaire
DOI: 10.15468/dl.5ecyrv
title: Occurrence Download

description: A dataset containing 9652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sylvia ruppeli)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 9652 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070001-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/r6w-tgb-n4a
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/t4t-jjr-b3k
title: Salix repens L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/k94-f9d-j87
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/x7l-k1j-bcn
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr38587
title: National Study of Physician Organizations (NSPO3), United States, 2012-2013
title: Archival Version

description: The National Study of Physician Organizations was designed to improve understanding of evidence-based care management processes (CMPs) as they relate to physician organizations (POs), that is, independent practice associations (IPAs) and medical groups. This survey, the third NSPO survey of IPAs and medical groups (NSPO2), examined over 2000 physician organizations of all sizes. As in prior surveys, NSPO3 collected demographic information about the following practices and assesses: (1) use of clinical information technology; (2) use of care management processes to improve the quality of care for four chronic conditions (asthma, congestive heart failure, depression, and diabetes); (3) provision of clinical preventive services and health promotion; (4) exposure to external performance incentives such as pay for performance and public reporting; (5) payer mix, forms of compensation from health plans, and forms of compensation paid by the practice to its physicians; (6) organizational culture. In addition, NSPO3 asked about participation or intended participation in Accountable Care Organizations (ACOs).
description: To provide healthcare organizations and researchers with important data on the management of four major chronic illnesses: asthma, coronary heart disease, depression, and diabetes.
description: NSPO3 is a cross-sectional national survey of U.S. medical groups of all sizes.
description: Variables include: makeup of specialists at the organization, use of electronic medical records, patient base race/ethnicity makeup, management practices for patients, communication with health plan providers, annual revenues, and organization finances.
description: Two types of weights are provided, sampling ("FWT") and longitudinal ("LWT") weights. The sampling weights should be applied for cross-sectional NSPO3 analysis. Longitudinal weights should be applied if conducting over-time analysis with NSPO2 and/or NSMPP respondents.
description: The practices were sampled from the IMS Healthcare Organization Services database as of May, 2011. Organizations with a significant proportion of primary care providers (family physicians, general internists, and general practitioners), cardiologists, endocrinologists and/or pulmonologists were eligible for this study. Practices with 20 or fewer physicians were eligible if at least 40% were in the focal specialties, and practices with more than 20 physicians were eligible if at least 30% were in the focal specialties. Academic faculty practices and practices associated with federal hospitals were excluded.
description: Datasets: DS1: ICPSR Public-Use Dataset
description: Physician organizations in the United States. Smallest Geographic Unit: United States
description: telephone interview
DOI: 10.15468/dl.gbv7j2
title: Occurrence Download

description: A dataset containing 11815 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sicyos angulatus L."
 ]
}

 The dataset includes 11815 records from 428 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003319-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1391739.10fu
title: SH1391739.10FU

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/sh1391744.10fu
title: SH1391744.10FU

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/sh1391747.10fu
title: SH1391747.10FU

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/sh1391748.10fu
title: SH1391748.10FU

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/sh1391749.10fu
title: SH1391749.10FU

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/sh1391750.10fu
title: SH1391750.10FU

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/sh1391753.10fu
title: SH1391753.10FU

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.7ksznb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"MEX.7.14_2","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005989-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh1391756.10fu
title: SH1391756.10FU

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/sh1391761.10fu
title: SH1391761.10FU

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.5stfc6
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eutropis austini Batuwita, 2016)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050207-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bfsf9b
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Blastocerus dichotomus (Illiger, 1815)"
 ]
}

 The dataset's 2 records were derived from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025086-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x5ydru
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Tangara peruviana",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086888-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7huhg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Homalopsis hardwickii Gray, 1842)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050202-230224095556074/datasets/export for details.
DOI: 10.15468/dl.bat4pf
title: Occurrence Download

description: A dataset containing 951 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidagathis incurva Buch.-Ham. ex D.Don"
 ]
}

 The dataset includes 951 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007560-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xa5b39
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Tangara versicolor",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086906-230530130749713/datasets/export for details.
DOI: 10.15468/dl.z36wvj
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Tangara rufigula",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086897-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zaxn8g
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepanthes pleurothallopsis Luer & R.Escobar"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007083-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7avhds
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sphenomorphus apalpebratus Datta-Roy, Das, Bauer, Lyngdoh-Tron & Karanth, 2013)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050212-230224095556074/datasets/export for details.
DOI: 10.15468/dl.fgg7jw
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phragmipedium pearcei (Veitch ex J.Dix) Rauh & Senghas"
 ]
}

 The dataset includes 104 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075922-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.