cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0079621.10fu
title: SH0079621.10FU

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: 10.13145/bacdive11579.20250331.9.3
title: Paenibacillus massiliensis subsp. massiliensis Tonial et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0079622.10fu
title: SH0079622.10FU

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: 10.13145/bacdive11579.20251217.10
title: Paenibacillus massiliensis subsp. massiliensis Tonial et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive11580.20250331.9.3
title: Paenibacillus timonensis Roux and Raoult 2004

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0079623.10fu
title: SH0079623.10FU

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.yssy5n
title: Occurrence Download

description: A dataset containing 496 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((1121.30746 41.34267,1121.54495 41.34267,1121.54495 41.43762,1121.30746 41.43762,1121.30746 41.34267))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 496 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011896-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr36057.v1
title: CBS News Poll, June 2013
title: Version 1

description: This poll, fielded in June 2013, is a part of a continuing series of monthly surveys that solicits public opinion on a range of political and social issues. Opinions were gathered about the likelihood of a terrorist attack in the United States in the coming months. Respondents were also asked if the government is infringing on privacy, if they are worried about losing their own privacy, and if they approve of government collection of phone and Internet records in the name of reducing terrorism. There are also a series of questions regarding cellular and landline telephone use. Demographic information includes age, race, ethnicity, marital status, education level, household income, type of residential area (e.g., urban or rural), voter registration status, political party affiliation, political philosophy, and Tea Party affiliation.
description: The data contain a weight variable (WEIGHT) that should be used in analyzing the data. According to the CBS News Web site, the data were weighted to match the United States Census Bureau breakdowns on age, sex, race, education, and region of the country. The data were also adjusted for the fact that people who share a telephone with others have less chance to be contacted than people who live alone and have their own telephones, and that households with more than one telephone number have more chances to be called than households with only one telephone number.
description: This poll was conducted by telephone from June 9-10, 2013 among 1,015 adults nationwide. Data collection was conducted on behalf of CBS News by Social Science Research Solutions of Media, Pennsylvania. Phone numbers were dialed from samples of both standard land-line and cell phones. The error due to sampling for results based on the entire sample could be plus or minus three percentage points. The error for subgroups may be higher. Interviews were conducted in English and Spanish. This poll release conforms to the Standards of Disclosure of the National Council on Public Polls.
description: Datasets: 
DS1: CBS News Poll, June 2013
description: Persons aged 18 years or older living in households with telephones in the Unites States. Smallest Geographic Unit: State
description: telephone interviewAdditional information about CBS News Polls can be found at the CBS News Polls Web site.
DOI: 10.3886/icpsr36057
title: CBS News Poll, June 2013
title: Archival Version

description: This poll, fielded in June 2013, is a part of a continuing series of monthly surveys that solicits public opinion on a range of political and social issues. Opinions were gathered about the likelihood of a terrorist attack in the United States in the coming months. Respondents were also asked if the government is infringing on privacy, if they are worried about losing their own privacy, and if they approve of government collection of phone and Internet records in the name of reducing terrorism. There are also a series of questions regarding cellular and landline telephone use. Demographic information includes age, race, ethnicity, marital status, education level, household income, type of residential area (e.g., urban or rural), voter registration status, political party affiliation, political philosophy, and Tea Party affiliation.
description: The data contain a weight variable (WEIGHT) that should be used in analyzing the data. According to the CBS News Web site, the data were weighted to match the United States Census Bureau breakdowns on age, sex, race, education, and region of the country. The data were also adjusted for the fact that people who share a telephone with others have less chance to be contacted than people who live alone and have their own telephones, and that households with more than one telephone number have more chances to be called than households with only one telephone number.
description: This poll was conducted by telephone from June 9-10, 2013 among 1,015 adults nationwide. Data collection was conducted on behalf of CBS News by Social Science Research Solutions of Media, Pennsylvania. Phone numbers were dialed from samples of both standard land-line and cell phones. The error due to sampling for results based on the entire sample could be plus or minus three percentage points. The error for subgroups may be higher. Interviews were conducted in English and Spanish. This poll release conforms to the Standards of Disclosure of the National Council on Public Polls.
description: Datasets: 
DS1: CBS News Poll, June 2013
description: Persons aged 18 years or older living in households with telephones in the Unites States. Smallest Geographic Unit: State
description: telephone interviewAdditional information about CBS News Polls can be found at the CBS News Polls Web site.
DOI: 10.6084/m9.figshare.28756301
title: data and code 202504

description: The data and code used in study of Contour
DOI: 10.3886/icpsr35256.v1
title: Annual Probation Survey, 2012
title: Version 1

description: The 2012 Annual Probation Survey provides a count of the total number of persons supervised on probation on January 1 and December 31, 2012, and a count of the number of persons entering and exiting probation supervision during 2012. The survey also provides counts of the number of probationers by certain characteristics, such as gender, race, Hispanic or Latino origin, offense, and supervision status. The survey covers all 50 states, the District of Columbia, and the federal system.
description: Datasets: 
DS1: Annual Probation Survey, 2012
description: Adult probationers, regardless of conviction status, who have been placed under the supervision of a probation agency as part of a court order between January 1, 2012, and December 31, 2012. Smallest Geographic Unit: jurisdiction
description: mail questionnaire
DOI: 10.3886/icpsr34651.v2
title: Ithaka S+R US Faculty Survey 2012
title: Version 2

description: This collection represents the fifth cycle of the US Faculty Survey conducted by Ithaka S+R in fall 2012. Investigators surveyed a random sample of higher education faculty members to learn about their attitudes and practices related to research, teaching, and communicating. The fifth cycle differs from previous releases in two significant regards: the questionnaire was developed with input from an advisory committee of academic professionals, and the methodology was revised to take advantage of online distribution and response collection. Demographic and professional information collected includes respondent age, sex, title, primary academic field, number of years working in primary academic field, number of years working at current college or university, and whether the respondent primarily identifies as a researcher, a teacher, or some combination of roles.
description: The data are not weighted. However, variable WEIGHT is present in both datasets and should be applied for analysis to weight observations at the faculty level (DS1) and field level (DS2). Investigators calculated weight values by discipline (field of study), with partial responses excluded from the calculation of weights.
description: 160,008 participants were selected via an "every nth" selection from listed sources of faculty members maintained by MDR. Certain disciplines were over-sampled in order to allow analysis of subgroups of particular importance, with care taken to ensure that the over-sampling did not disproportionately affect overall results. The data feature responses from 7,491 individual respondents representing 35 disciplines, or fields of study.
description: Datasets: 
DS0: Study-Level Files
DS1: US Faculty Survey Anonymized Dataset
DS2: US Faculty Survey Weights by Discipline
description: Academic faculty and staff at 4-year colleges and universities in the United States. Individuals working in major arts and sciences fields, as well as several major professional fields, were targeted for inclusion. Agriculture and health sciences fields were specifically excluded. Smallest Geographic Unit: None.
description: web-based surveyFor additional information on the 2012 US Faculty Survey, as well as the <em>Ithaka S+R Surveys of Higher Education Series</em>, please visit the Ithaka S+R Web site.
DOI: 10.3886/icpsr34651
title: Ithaka S+R US Faculty Survey 2012
title: Archival Version

description: This collection represents the fifth cycle of the US Faculty Survey conducted by Ithaka S+R in fall 2012. Investigators surveyed a random sample of higher education faculty members to learn about their attitudes and practices related to research, teaching, and communicating. The fifth cycle differs from previous releases in two significant regards: the questionnaire was developed with input from an advisory committee of academic professionals, and the methodology was revised to take advantage of online distribution and response collection. Demographic and professional information collected includes respondent age, sex, title, primary academic field, number of years working in primary academic field, number of years working at current college or university, and whether the respondent primarily identifies as a researcher, a teacher, or some combination of roles.
description: The data are not weighted. However, variable WEIGHT is present in both datasets and should be applied for analysis to weight observations at the faculty level (DS1) and field level (DS2). Investigators calculated weight values by discipline (field of study), with partial responses excluded from the calculation of weights.
description: 160,008 participants were selected via an "every nth" selection from listed sources of faculty members maintained by MDR. Certain disciplines were over-sampled in order to allow analysis of subgroups of particular importance, with care taken to ensure that the over-sampling did not disproportionately affect overall results. The data feature responses from 7,491 individual respondents representing 35 disciplines, or fields of study.
description: Datasets: 
DS0: Study-Level Files
DS1: US Faculty Survey Anonymized Dataset
DS2: US Faculty Survey Weights by Discipline
description: Academic faculty and staff at 4-year colleges and universities in the United States. Individuals working in major arts and sciences fields, as well as several major professional fields, were targeted for inclusion. Agriculture and health sciences fields were specifically excluded. Smallest Geographic Unit: None.
description: web-based surveyFor additional information on the 2012 US Faculty Survey, as well as the <em>Ithaka S+R Surveys of Higher Education Series</em>, please visit the Ithaka S+R Web site.
DOI: 10.15468/dl.n49dtk
title: Occurrence Download

description: A dataset containing 475 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Staurotypus salvinii Gray, 1864"
 ]
}

 The dataset includes 475 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011897-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr34588.v1
title: Uniform Crime Reporting Program Data: Supplementary Homicide Reports, 2011
title: Version 1

description: The UNIFORM CRIME REPORTING PROGRAM DATA: SUPPLEMENTARY HOMICIDE REPORTS, 2011 (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, 2011
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: 10.15468/dl.2snuew
title: Occurrence Download

description: A dataset containing 345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Living Specimen, Specimen, Material sample)",
 "Country is Australia",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Australian Museum provider for OZCAM, WildNet - Queensland Wildlife Data, Queensland Museum provider for OZCAM, NSW BioNet Atlas, ALA species sightings and OzAtlas, Earth Guardians Weekly Feed, South Australian Museum Adelaide provider for OZCAM)",
 "GadmGid is AUS.7_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Cyprinus carpio Linnaeus, 1758"
 ]
}

 The dataset includes 345 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011898-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqkhek
title: Occurrence Download

description: A dataset containing 26307559 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "StateProvince is CAlifornia",
 "TaxonKey is Aves",
 "Year 2022-2023"
 ]
}

 The dataset includes 26307559 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011886-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7huwc
title: Occurrence Download

description: A dataset containing 66009 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "CoordinateUncertaintyInMeters 0.0-970.0",
 "Geometry POLYGON((-138.60946 28.80636,-59.73854 28.80636,-59.73854 60.84767,-138.60946 60.84767,-138.60946 28.80636))",
 "TaxonKey is Alliaria petiolata (M.Bieb.) Cavara & Grande"
 ]
}

 The dataset includes 66009 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011890-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15171578
title: Data for manuscript 'A model analysis of Circumpolar Deep Water intrusions on the continental shelf break in Amundsen Sea, Antarctica'

description: Data for manuscript 'A model analysis of Circumpolar Deep Water intrusions on the continental shelf break in Amundsen Sea, Antarctica'.

This repository contains three files

(1) Processed data used to generate the figures in the manuscript and the supporting information;

(2) Model configuration file for the RAS experiments; and

(3) Code used to generate the figures in the manuscript and the supporting information.

Model forcing files (Boundary, Surface, Nudging) exceeds the size limit, thus are not uploaded in this repo.
DOI: 10.5281/zenodo.15171579
title: Data for manuscript 'A model analysis of Circumpolar Deep Water intrusions on the continental shelf break in Amundsen Sea, Antarctica'

description: Data for manuscript 'A model analysis of Circumpolar Deep Water intrusions on the continental shelf break in Amundsen Sea, Antarctica'.

This repository contains three files

(1) Processed data used to generate the figures in the manuscript and the supporting information;

(2) Model configuration file for the RAS experiments; and

(3) Code used to generate the figures in the manuscript and the supporting information.

Model forcing files (Boundary, Surface, Nudging) exceeds the size limit, thus are not uploaded in this repo.
DOI: 10.6084/m9.figshare.28756316
title: Supporting Table S7

description: <b>Supporting Table S7. </b>DNA Repair associated genes that are present in at least one ofthe insect endosymbionts <i>Arsenophonus nasonae</i>, <i>Wolbachia</i> (<i>w</i>Mel), and <i>Buchnera</i><i>aphidicola</i> (APS). Comparison of annotations (from BlastKoala and/or NCBI) for ten<i>Spiroplasma</i> strains (red font = Citri clade; blue font = Poulsonii clade) for genesassociated with DNA repair. Colored cells (yellow or red imply nonfunctional or absentgene). Locus tags or Protein IDs (WP) are provided for a subset of strains (mostly thenewest ones).
DOI: 10.15468/dl.48v3z6
title: Occurrence Download

description: A dataset containing 443189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "DatasetKey is Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (Plantas vasculares)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is ff90b050-c256-11db-b71b-b8a03c50a862"
 ]
}

 The dataset includes 443189 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011895-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.