cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5683/sp3/aonai0
title: Factors affecting the health and performance of veal calves in Quebec

description: This dataverse contains the R scripts used in two articles describing, using data from a field study, the effect of transfer of passive immunity and other arrival risk factors on morbidity, mortality, and average daily gain of veal calves. The first article (titled: Arrival risk factors associated with morbidity and mortality in veal calves in Québec, Canada) is currently under review in Journal of Dairy Science. The second article (titled: Association between passive immunity transfer at arrival and average daily gain in veal calves in Québec, Canada) will be submitted to Journal of Dairy Science early in 2024.
DOI: 10.15468/dl.fk9vwc
title: Occurrence Download

description: A dataset containing 3120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Oceania)",
 {
 "or" : [
 "Geometry POLYGON((-46.0011 1.0954,179.68713 1.0954,179.68713 74.73599,-46.0011 74.73599,-46.0011 1.0954))",
 "Geometry POLYGON((-22.40747 -39.65719,81.97629 -39.65719,81.97629 -2.95603,-22.40747 -2.95603,-22.40747 -39.65719))",
 "Geometry POLYGON((136.93071 -46.99399,157.18786 -46.99399,157.18786 -39.96358,136.93071 -39.96358,136.93071 -46.99399))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Potamogeton crispus"
 ]
}

 The dataset includes 3120 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046862-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/das73q
title: Data on Terrorist Suspects (DOTS) dataset 2017

description: DOTS (Data on Terrorist Suspects) provides textual biographic information on every terrorist covered by the chronology to cover all terrorists, supporters and other individuals mentioned in ITERATE. &lt;br&gt;


&lt;br&gt;PLEASE NOTE: Even if the dataset you are reviewing is labeled one year, it may contain information for the following year (eg. DOTS 2017 containing 2018 data).
description: MS Word
description: DOTS
description: The media sources includes AP, UPI, Reuter, CNN , MSNBC , AFP, The Washington Post, New York Times, LA Times, Time, Newsweek, and al Jazeera. The chronology also incorporates information obtained from interviews with government officials, scholars, and former hostages/others involved in international terrorist incidents. Additional sources include relevant manuscripts and scholarly publications dealing with the subject. Finally, the chronology uses many official government chronologies, including those published by the NCTC, FBI, CIA, US Department of State, and FAA. All of these sources have been consistently used since the inception of the data base.
description: License restrictions: These ITERATE and DOTS data are subject to copyright and are licensed for current members (student, faculty, staff and alumni) of Carleton University. 1) You may make a copy of this data for your own use. 2) You may NOT make copies, in full or partial, for DISTRIBUTION, in any matter.
DOI: 10.5683/sp3/ikiw1q
title: The International Terrorism: Attributes of Terrorist Events (ITERATE) Dataset for 1968 - 2014

description: The International Terrorism: Attributes of Terrorist Events (ITERATE) provides a wealth of information for those who wish to analyze international terrorism beyond selective or anecdotal references. The project quantifies data on the characteristics of transnational terrorist groups, their activities that carry international impact and the environment in which they operate. The ITERATE dataset is the most comprehensive and frequently-cited publicly-available dataset on transnational terrorism.&lt;br&gt;
&lt;br&gt;

&lt;br&gt;&lt;b&gt; &lt;i&gt;It is recommended to use "Tree" view when navigating this dataset &lt;/b&gt;&lt;/i&gt;&lt;br&gt;

&lt;br&gt;This dataset consists of three parts: The Common File, the Codebook and the Text file for 2014 alone. Textual data is sorted by month&lt;br&gt;

&lt;br&gt; Please refer to the specific Datasets containing Textual data as follows:&lt;br&gt; 
&lt;a href = "https://doi.org/10.5683/SP3/NYFOMA" &gt; Textual data from 1960 - 1979 &lt;/a&gt; &lt;br&gt;
&lt;a href = "https://doi.org/10.5683/SP3/UHXOER"&gt; Textual data from 1980 - 2007&lt;/a&gt;&lt;br&gt;

&lt;br&gt; Please note: the Codebooks are labelled a year ahead of the data that they correspond with (ie. 2014 Codebook goes with this Data)
description: MS Word
description: MS Excel
description: ITERATE
description: License restrictions:
These Iterate and DOTS data are subject to copyright and are licensed for current members (student, faculty, staff and alumni) of Carleton University.
1) You may make a copy of this data for your own use.
2) You may NOT make copies, in full or partial, for DISTRIBUTION, in any matter.
description: The media sources includes AP, UPI, Reuter, CNN , MSNBC , AFP, The Washington Post, New York Times, LA Times, Time, Newsweek, and al Jazeera. The chronology also incorporates information obtained from interviews with government officials, scholars, and former hostages/others involved in international terrorist incidents. Additional sources include relevant manuscripts and scholarly publications dealing with the subject. Finally, the chronology uses many official government chronologies, including those published by the NCTC, FBI, CIA, US Department of State, and FAA. All of these sources have been consistently used since the inception of the data base.
DOI: 10.5683/sp3/dbr96w
title: The International Terrorism: Attributes of Terrorist Events (ITERATE) Dataset 2022

description: The International Terrorism: Attributes of Terrorist Events (ITERATE) provides a wealth of information for those who wish to analyze international terrorism beyond selective or anecdotal references. The project quantifies data on the characteristics of transnational terrorist groups, their activities that carry international impact and the environment in which they operate. The ITERATE dataset is the most comprehensive and frequently-cited publicly-available dataset on transnational terrorism.&lt;br&gt;
&lt;br&gt;
This dataset consists of three parts: The Common File, the Codebook and the Text file.&lt;br&gt;

&lt;br&gt;Please note: the Codebooks are labelled a year ahead of the data that they correspond with (ie. 2022 Codebook goes with 2021 Data)
description: ITERATE
description: MS Excel
description: PDF Reader
description: License restrictions:
These Iterate and DOTS data are subject to copyright and are licensed for current members (student, faculty, staff and alumni) of Carleton University.
1) You may make a copy of this data for your own use.
2) You may NOT make copies, in full or partial, for DISTRIBUTION, in any matter.
description: The media sources includes AP, UPI, Reuter, CNN , MSNBC , AFP, The Washington Post, New York Times, LA Times, Time, Newsweek, and al Jazeera. The chronology also incorporates information obtained from interviews with government officials, scholars, and former hostages/others involved in international terrorist incidents. Additional sources include relevant manuscripts and scholarly publications dealing with the subject. Finally, the chronology uses many official government chronologies, including those published by the NCTC, FBI, CIA, US Department of State, and FAA. All of these sources have been consistently used since the inception of the data base.
DOI: 10.5683/sp3/rdush6
title: The International Terrorism: Attributes of Terrorist Events (ITERATE) Dataset 2017

description: The International Terrorism: Attributes of Terrorist Events (ITERATE) provides a wealth of information for those who wish to analyze international terrorism beyond selective or anecdotal references. The project quantifies data on the characteristics of transnational terrorist groups, their activities that carry international impact and the environment in which they operate. The ITERATE dataset is the most comprehensive and frequently-cited publicly-available dataset on transnational terrorism.&lt;br&gt;
&lt;br&gt;
This dataset consists of two parts: The Common File, and the Codebook &lt;br&gt;
&lt;br&gt;Please note: the Codebooks are labelled a year ahead of the data that they correspond with (ie. 2018 Codebook goes with 2017 Data)
description: ITERATE
description: MS Excel
description: PDF Reader
description: The media sources includes AP, UPI, Reuter, CNN , MSNBC , AFP, The Washington Post, New York Times, LA Times, Time, Newsweek, and al Jazeera. The chronology also incorporates information obtained from interviews with government officials, scholars, and former hostages/others involved in international terrorist incidents. Additional sources include relevant manuscripts and scholarly publications dealing with the subject. Finally, the chronology uses many official government chronologies, including those published by the NCTC, FBI, CIA, US Department of State, and FAA. All of these sources have been consistently used since the inception of the data base.
description: License restrictions:
These Iterate and DOTS data are subject to copyright and are licensed for current members (student, faculty, staff and alumni) of Carleton University.
1) You may make a copy of this data for your own use.
2) You may NOT make copies, in full or partial, for DISTRIBUTION, in any matter.
DOI: 10.5683/sp3/nyfoma
title: The International Terrorism: Attributes of Terrorist Events (ITERATE) Textual Dataset 1960-1979

description: The International Terrorism: Attributes of Terrorist Events (ITERATE) provides a wealth of information for those who wish to analyze international terrorism beyond selective or anecdotal references. The project quantifies data on the characteristics of transnational terrorist groups, their activities that carry international impact and the environment in which they operate. The ITERATE dataset is the most comprehensive and frequently-cited publicly-available dataset on transnational terrorism.&lt;br&gt;
&lt;br&gt;
This dataset consists of only the textual data from 1960-1979.&lt;br&gt;
&lt;br&gt;Data is organized annually&lt;br&gt;
&lt;br&gt;Please note: that all documents are fully compatible with modern versions of Microsoft Word&lt;br&gt;
description: ITERATE
description: MS Word
description: The media sources includes AP, UPI, Reuter, CNN , MSNBC , AFP, The Washington Post, New York Times, LA Times, Time, Newsweek, and al Jazeera. The chronology also incorporates information obtained from interviews with government officials, scholars, and former hostages/others involved in international terrorist incidents. Additional sources include relevant manuscripts and scholarly publications dealing with the subject. Finally, the chronology uses many official government chronologies, including those published by the NCTC, FBI, CIA, US Department of State, and FAA. All of these sources have been consistently used since the inception of the data base.
description: License restrictions:
These Iterate and DOTS data are subject to copyright and are licensed for current members (student, faculty, staff and alumni) of Carleton University.
1) You may make a copy of this data for your own use.
2) You may NOT make copies, in full or partial, for DISTRIBUTION, in any matter.
DOI: 10.5683/sp3/uhxoer
title: The International Terrorism: Attributes of Terrorist Events (ITERATE) Textual Dataset 1980-2007

description: The International Terrorism: Attributes of Terrorist Events (ITERATE) provides a wealth of information for those who wish to analyze international terrorism beyond selective or anecdotal references. The project quantifies data on the characteristics of transnational terrorist groups, their activities that carry international impact and the environment in which they operate. The ITERATE dataset is the most comprehensive and frequently-cited publicly-available dataset on transnational terrorism.&lt;br&gt;
&lt;br&gt;
&lt;b&gt;&lt;i&gt;Using Tree view is strongly reccomended on this dataset&lt;/b&gt;&lt;/i&gt; &lt;br&gt;

This dataset consists of only the textual data from 1980-2007.&lt;br&gt;

&lt;br&gt;Textual data is organized monthly in the format ITR[Month][Last two digits of year], files with UPDA instead of ITR are updates brought to that year, and files with A.B.eg. in the name before the year refer to updates in information brought later. &lt;br&gt;

&lt;br&gt;Please note: that all documents are fully compatible with modern versions of Microsoft Word&lt;br&gt;

&lt;br&gt; Full list of years covered in this dataset: 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007
description: MS Word
description: ITERATE
description: License restrictions:
These Iterate and DOTS data are subject to copyright and are licensed for current members (student, faculty, staff and alumni) of Carleton University.
1) You may make a copy of this data for your own use.
2) You may NOT make copies, in full or partial, for DISTRIBUTION, in any matter.
description: The media sources includes AP, UPI, Reuter, CNN , MSNBC , AFP, The Washington Post, New York Times, LA Times, Time, Newsweek, and al Jazeera. The chronology also incorporates information obtained from interviews with government officials, scholars, and former hostages/others involved in international terrorist incidents. Additional sources include relevant manuscripts and scholarly publications dealing with the subject. Finally, the chronology uses many official government chronologies, including those published by the NCTC, FBI, CIA, US Department of State, and FAA. All of these sources have been consistently used since the inception of the data base.
DOI: 10.5683/sp3/ducegx
title: Replication Data for: Who Can Assert Ownership Over Automation? Workplace Technological Change, Populist and Ethno-nationalist Rhetoric, and Candidate Support

description: Replication Data for Borwein, Sophie, Bart Bonikowski, Peter J. Loewen, Beatrice Magistro, and Blake Lee-Whiting. "Who Can Assert Ownership Over Automation? Workplace Technological Change, Populist and Ethno-nationalist Rhetoric, and Candidate Support."
DOI: 10.5683/sp3/rwrxlr
title: The International Terrorism: Attributes of Terrorist Events (ITERATE) Dataset 2015

description: The International Terrorism: Attributes of Terrorist Events (ITERATE) provides a wealth of information for those who wish to analyze international terrorism beyond selective or anecdotal references. The project quantifies data on the characteristics of transnational terrorist groups, their activities that carry international impact and the environment in which they operate. The ITERATE dataset is the most comprehensive and frequently-cited publicly-available dataset on transnational terrorism.&lt;br&gt;
&lt;br&gt;&lt;b&gt; &lt;i&gt;It is recommended to use "Tree" view when navigating this dataset &lt;/b&gt;&lt;/i&gt;&lt;br&gt;
&lt;br&gt;
This dataset consists of two three parts: The Common File, the Codebook and textual data. Textual data is sorted by month &lt;br&gt;
&lt;br&gt;Please note: the Codebooks are labelled a year ahead of the data that they correspond with (ie. 2016 Codebook goes with 2015 Data)
description: MS Word
description: MS Excel
description: ITERATE
description: The media sources includes AP, UPI, Reuter, CNN , MSNBC , AFP, The Washington Post, New York Times, LA Times, Time, Newsweek, and al Jazeera. The chronology also incorporates information obtained from interviews with government officials, scholars, and former hostages/others involved in international terrorist incidents. Additional sources include relevant manuscripts and scholarly publications dealing with the subject. Finally, the chronology uses many official government chronologies, including those published by the NCTC, FBI, CIA, US Department of State, and FAA. All of these sources have been consistently used since the inception of the data base.
description: License restrictions:
These Iterate and DOTS data are subject to copyright and are licensed for current members (student, faculty, staff and alumni) of Carleton University.
1) You may make a copy of this data for your own use.
2) You may NOT make copies, in full or partial, for DISTRIBUTION, in any matter.
DOI: 10.5683/sp3/3egpn1
title: The International Terrorism: Attributes of Terrorist Events (ITERATE) Dataset 2016

description: The International Terrorism: Attributes of Terrorist Events (ITERATE) provides a wealth of information for those who wish to analyze international terrorism beyond selective or anecdotal references. The project quantifies data on the characteristics of transnational terrorist groups, their activities that carry international impact and the environment in which they operate. The ITERATE dataset is the most comprehensive and frequently-cited publicly-available dataset on transnational terrorism.&lt;br&gt;
&lt;br&gt;&lt;b&gt; &lt;i&gt;It is recommended to use "Tree" view when navigating this dataset &lt;/b&gt;&lt;/i&gt;&lt;br&gt;
&lt;br&gt;
This dataset consists of two three parts: The Common File, the Codebook and textual data. Textual data is sorted by month &lt;br&gt;
&lt;br&gt;Please note: the Codebooks are labelled a year ahead of the data that they correspond with (ie. 2017 Codebook goes with 2016 Data)
description: MS Word
description: MS Excel
description: ITERATE
description: The media sources includes AP, UPI, Reuter, CNN , MSNBC , AFP, The Washington Post, New York Times, LA Times, Time, Newsweek, and al Jazeera. The chronology also incorporates information obtained from interviews with government officials, scholars, and former hostages/others involved in international terrorist incidents. Additional sources include relevant manuscripts and scholarly publications dealing with the subject. Finally, the chronology uses many official government chronologies, including those published by the NCTC, FBI, CIA, US Department of State, and FAA. All of these sources have been consistently used since the inception of the data base.
description: License restrictions:
These Iterate and DOTS data are subject to copyright and are licensed for current members (student, faculty, staff and alumni) of Carleton University.
1) You may make a copy of this data for your own use.
2) You may NOT make copies, in full or partial, for DISTRIBUTION, in any matter.
DOI: 10.5683/sp3/scugvh
title: The International Terrorism: Attributes of Terrorist Events (ITERATE) Dataset 2018

description: The International Terrorism: Attributes of Terrorist Events (ITERATE) provides a wealth of information for those who wish to analyze international terrorism beyond selective or anecdotal references. The project quantifies data on the characteristics of transnational terrorist groups, their activities that carry international impact and the environment in which they operate. The ITERATE dataset is the most comprehensive and frequently-cited publicly-available dataset on transnational terrorism.&lt;br&gt;

&lt;br&gt;
This dataset consists of two three parts: The Common File, the Codebook and textual data. Textual data is sorted by month &lt;br&gt;
&lt;br&gt;Please note: the Codebooks are labelled a year ahead of the data that they correspond with (ie. 2019 Codebook goes with 2018 Data)
description: MS Word
description: MS Excel
description: ITERATE
description: The media sources includes AP, UPI, Reuter, CNN , MSNBC , AFP, The Washington Post, New York Times, LA Times, Time, Newsweek, and al Jazeera. The chronology also incorporates information obtained from interviews with government officials, scholars, and former hostages/others involved in international terrorist incidents. Additional sources include relevant manuscripts and scholarly publications dealing with the subject. Finally, the chronology uses many official government chronologies, including those published by the NCTC, FBI, CIA, US Department of State, and FAA. All of these sources have been consistently used since the inception of the data base.
description: License restrictions:
These Iterate and DOTS data are subject to copyright and are licensed for current members (student, faculty, staff and alumni) of Carleton University.
1) You may make a copy of this data for your own use.
2) You may NOT make copies, in full or partial, for DISTRIBUTION, in any matter.
DOI: 10.5683/sp3/0aioyy
title: The International Terrorism: Attributes of Terrorist Events (ITERATE) Dataset 2020

description: The International Terrorism: Attributes of Terrorist Events (ITERATE) provides a wealth of information for those who wish to analyze international terrorism beyond selective or anecdotal references. The project quantifies data on the characteristics of transnational terrorist groups, their activities that carry international impact and the environment in which they operate. The ITERATE dataset is the most comprehensive and frequently-cited publicly-available dataset on transnational terrorism.&lt;br&gt;

&lt;br&gt;
This dataset consists of two three parts: The Common File, the Codebook and textual data. Textual data is sorted by month &lt;br&gt;
&lt;br&gt;Please note: the Codebooks are labelled a year ahead of the data that they correspond with (ie. 2021 Codebook goes with 2020 Data)
description: MS Excel
description: PDF Reader
description: ITERATE
description: The media sources includes AP, UPI, Reuter, CNN , MSNBC , AFP, The Washington Post, New York Times, LA Times, Time, Newsweek, and al Jazeera. The chronology also incorporates information obtained from interviews with government officials, scholars, and former hostages/others involved in international terrorist incidents. Additional sources include relevant manuscripts and scholarly publications dealing with the subject. Finally, the chronology uses many official government chronologies, including those published by the NCTC, FBI, CIA, US Department of State, and FAA. All of these sources have been consistently used since the inception of the data base.
description: License restrictions:
These Iterate and DOTS data are subject to copyright and are licensed for current members (student, faculty, staff and alumni) of Carleton University.
1) You may make a copy of this data for your own use.
2) You may NOT make copies, in full or partial, for DISTRIBUTION, in any matter.