cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5091088
title: Indicative distribution map for Ecosystem Functional Group MT1.1 Rocky Shorelines

description: This archive contains indicative distribution maps and profiles for <strong>MT1.1 Rocky Shorelines</strong>, a ecosystem functional group (EFG, level 3) of the IUCN Global Ecosystem Typology (v2.0). Please refer to Keith <em>et al.</em> (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).
description: This dataset is part of the publication: Keith DA, Ferrer-Paris JR, Nicholson E, Kingsford RT (Eds.) (2020) 'The IUCN Global Ecosystem Typology v2.0: Descriptive profiles for Biomes and Ecosystem Functional Groups'. The International Union for the Conservation of Nature (IUCN), Gland. DOI:10.2305/IUCN.CH.2020.13.en. DAK, & JRFP were supported by ARC Linkage Grants LP170101143 and LP180100159 and the MAVA Foundation.
DOI: 10.5281/zenodo.5091097
title: Indicative distribution map for Ecosystem Functional Group T2.1 Boreal and temperate high montane forests and woodlands

description: This archive contains indicative distribution maps and profiles for <strong>T2.1 Boreal and temperate high montane forests and woodlands</strong>, a ecosystem functional group (EFG, level 3) of the IUCN Global Ecosystem Typology (v2.0). Please refer to Keith <em>et al.</em> (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).
description: This dataset is part of the publication: Keith DA, Ferrer-Paris JR, Nicholson E, Kingsford RT (Eds.) (2020) 'The IUCN Global Ecosystem Typology v2.0: Descriptive profiles for Biomes and Ecosystem Functional Groups'. The International Union for the Conservation of Nature (IUCN), Gland. DOI:10.2305/IUCN.CH.2020.13.en. DAK, & JRFP were supported by ARC Linkage Grants LP170101143 and LP180100159 and the MAVA Foundation.
DOI: 10.5281/zenodo.5091096
title: Indicative distribution map for Ecosystem Functional Group T2.1 Boreal and temperate high montane forests and woodlands

description: This archive contains indicative distribution maps and profiles for <strong>T2.1 Boreal and temperate high montane forests and woodlands</strong>, a ecosystem functional group (EFG, level 3) of the IUCN Global Ecosystem Typology (v2.0). Please refer to Keith <em>et al.</em> (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).
description: This dataset is part of the publication: Keith DA, Ferrer-Paris JR, Nicholson E, Kingsford RT (Eds.) (2020) 'The IUCN Global Ecosystem Typology v2.0: Descriptive profiles for Biomes and Ecosystem Functional Groups'. The International Union for the Conservation of Nature (IUCN), Gland. DOI:10.2305/IUCN.CH.2020.13.en. DAK, & JRFP were supported by ARC Linkage Grants LP170101143 and LP180100159 and the MAVA Foundation.
DOI: 10.25318/13250003-fra
title: Approche participative : répercussions de la COVID-19 sur les Canadiens vivant avec un problème de santé de longue durée ou une incapacité fichier de microdonnées à grande diffusion

description: Ce fichier de microdonnées à grande diffusion comprend des renseignements provenant du questionnaire à approche participative sur les répercussions de la COVID-19 sur l'emploi, les dépenses des ménages, et l'accès aux services de santé des Canadiens avec un problème de santé de longue durée ou une incapacité. Ce produit est fourni à l'aide du service de transfert électronique de fichiers de Statistique Canada.
DOI: 10.15468/gc9z3d
title: A new species of Celidodacus Hendel, with notes on C. coloniarum (Speiser) and C. obnubilus (Karsch)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Huangfu, Ning, Zhu, Chaodong, Chen, Xiaolin (2019): A new species of Celidodacus Hendel, with notes on C. coloniarum (Speiser) and C. obnubilus (Karsch). Zoological Systematics 44 (3): 240-246, DOI: 10.11865/zs.201919, URL: http://zoobank.org/f1d7e6e7-4318-42cc-9566-6156b44b7c75
DOI: 10.5281/zenodo.5091111
title: Indicative distribution map for Ecosystem Functional Group T3.4 Young rocky pavements, lava flows and screes

description: This archive contains indicative distribution maps and profiles for <strong>T3.4 Young rocky pavements, lava flows and screes</strong>, a ecosystem functional group (EFG, level 3) of the IUCN Global Ecosystem Typology (v2.0). Please refer to Keith <em>et al.</em> (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).
description: This dataset is part of the publication: Keith DA, Ferrer-Paris JR, Nicholson E, Kingsford RT (Eds.) (2020) 'The IUCN Global Ecosystem Typology v2.0: Descriptive profiles for Biomes and Ecosystem Functional Groups'. The International Union for the Conservation of Nature (IUCN), Gland. DOI:10.2305/IUCN.CH.2020.13.en. DAK, & JRFP were supported by ARC Linkage Grants LP170101143 and LP180100159 and the MAVA Foundation.
DOI: 10.5281/zenodo.5091110
title: Indicative distribution map for Ecosystem Functional Group T3.4 Young rocky pavements, lava flows and screes

description: This archive contains indicative distribution maps and profiles for <strong>T3.4 Young rocky pavements, lava flows and screes</strong>, a ecosystem functional group (EFG, level 3) of the IUCN Global Ecosystem Typology (v2.0). Please refer to Keith <em>et al.</em> (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).
description: This dataset is part of the publication: Keith DA, Ferrer-Paris JR, Nicholson E, Kingsford RT (Eds.) (2020) 'The IUCN Global Ecosystem Typology v2.0: Descriptive profiles for Biomes and Ecosystem Functional Groups'. The International Union for the Conservation of Nature (IUCN), Gland. DOI:10.2305/IUCN.CH.2020.13.en. DAK, & JRFP were supported by ARC Linkage Grants LP170101143 and LP180100159 and the MAVA Foundation.
DOI: 10.5255/ukda-sn-855076
title: Longitudinal Predictors of Self-harm among Adolescents in Scotland, 2017-2018

description: This dataset contains quantitative survey data from a theory-based longitudinal schools study, with the purpose of examining predictors of self-harm among adolescents in Scotland with and without bereavement experiences. Data from columns with potentially identifying information have been redacted in order to preserve anonymity of participants. This includes details on dates and times of data collection, school details, participant codes, as well as free-text responses which may include identifying information. Further information on variable names and descriptions from which data have been redacted are provided at the end of the accompanying README file.
DOI: 10.5281/zenodo.5091109
title: Indicative distribution map for Ecosystem Functional Group T3.3 Cool temperate heathlands

description: This archive contains indicative distribution maps and profiles for <strong>T3.3 Cool temperate heathlands</strong>, a ecosystem functional group (EFG, level 3) of the IUCN Global Ecosystem Typology (v2.0). Please refer to Keith <em>et al.</em> (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).
description: This dataset is part of the publication: Keith DA, Ferrer-Paris JR, Nicholson E, Kingsford RT (Eds.) (2020) 'The IUCN Global Ecosystem Typology v2.0: Descriptive profiles for Biomes and Ecosystem Functional Groups'. The International Union for the Conservation of Nature (IUCN), Gland. DOI:10.2305/IUCN.CH.2020.13.en. DAK, & JRFP were supported by ARC Linkage Grants LP170101143 and LP180100159 and the MAVA Foundation.
DOI: 10.5281/zenodo.5091108
title: Indicative distribution map for Ecosystem Functional Group T3.3 Cool temperate heathlands

description: This archive contains indicative distribution maps and profiles for <strong>T3.3 Cool temperate heathlands</strong>, a ecosystem functional group (EFG, level 3) of the IUCN Global Ecosystem Typology (v2.0). Please refer to Keith <em>et al.</em> (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).
description: This dataset is part of the publication: Keith DA, Ferrer-Paris JR, Nicholson E, Kingsford RT (Eds.) (2020) 'The IUCN Global Ecosystem Typology v2.0: Descriptive profiles for Biomes and Ecosystem Functional Groups'. The International Union for the Conservation of Nature (IUCN), Gland. DOI:10.2305/IUCN.CH.2020.13.en. DAK, & JRFP were supported by ARC Linkage Grants LP170101143 and LP180100159 and the MAVA Foundation.
DOI: 10.5255/ukda-sn-855079
title: Experiences of Bereavement and Self-harm among Adolescents in Scotland, 2019-2020

description: This dataset contains qualitative and quantitative data from a mixed methods interview study with young people, with the purpose of exploring bereavement experiences among adolescents in Scotland, as well as experiences with self-harm thoughts or behaviours. Some data with potentially identifying information have been redacted or pseudo-anonymised from the interview transcripts and self-harm questionnaire responses in order to preserve the anonymity of participants. Further information and a list of variable names and descriptions from which quantitative data have been redacted are provided at the end of the accompanying README file.
DOI: 10.5281/zenodo.5102918
title: Five day averaged sea surface height from MITgcm integration with climatological river discharge forcing

description: The 5-day averaged sea surface height for experiment using climate river discharge, with file names like ssh_dayflux_YEAR.mat for each year.
description: On MITgcm native grid LLC270
DOI: 10.5281/zenodo.5102917
title: Five day averaged sea surface height from MITgcm integration with climatological river discharge forcing

description: The 5-day averaged sea surface height for experiment using climate river discharge, with file names like ssh_dayflux_YEAR.mat for each year.
description: On MITgcm native grid LLC270
DOI: 10.5255/ukda-sn-855069
title: Shipbuilding Register Data for 1870, 1889 and 1912

description: This data set contains ship registers from two sources, Lloyd's Register and the American Bureau of Shipping's Register, at three points in time 1870, 1889, and 1912. The data cover tens of thousands of ships built in Canada, the U.S. and the U.K. and include information about the ships themselves and where they were built.
DOI: 10.5255/ukda-sn-855065
title: Quantification, Administrative Capacity and Democracy: Database of Performance Indicators Used for the Steering of Hospitals, Universities and Prisons in England, 1985-2015

description: This database seeks to capture the rise and extent of quantification as a tool of government by tracing the development of performance indicators used for regulatory purposes between 1985 and 2015 across different public service sectors (health/hospitals; higher education/universities; criminal justice/prisons) in the UK (with a specific focus on England). The cross-sectoral comparison intends to capture the diffusion of indicators across domains, and to compare temporal dynamics in the adoption of similar or different new public management instruments: Do indicators develop in a similar pace across sectors? What are their focus, audience and goals? And how did these change over time?
DOI: 10.5517/ccdc.csd.cc1nxkvz
title: CCDC 1546802: Experimental Crystal Structure Determination

description: Related Article: Thota Peddarao, Ashim Baishya, Nabin Sarkar, Rudresh Acharya, Sharanappa Nembenna|2021|Eur.J.Inorg.Chem.|2021|2034|doi:10.1002/ejic.202100141
DOI: 10.5517/ccdc.csd.cc1nxkw0
title: CCDC 1546803: Experimental Crystal Structure Determination

description: Related Article: Thota Peddarao, Ashim Baishya, Nabin Sarkar, Rudresh Acharya, Sharanappa Nembenna|2021|Eur.J.Inorg.Chem.|2021|2034|doi:10.1002/ejic.202100141
DOI: 10.5517/ccdc.csd.cc1nxkx1
title: CCDC 1546804: Experimental Crystal Structure Determination

description: Related Article: Thota Peddarao, Ashim Baishya, Nabin Sarkar, Rudresh Acharya, Sharanappa Nembenna|2021|Eur.J.Inorg.Chem.|2021|2034|doi:10.1002/ejic.202100141
DOI: 10.5517/ccdc.csd.cc1nxkz3
title: CCDC 1546806: Experimental Crystal Structure Determination

description: Related Article: Thota Peddarao, Ashim Baishya, Nabin Sarkar, Rudresh Acharya, Sharanappa Nembenna|2021|Eur.J.Inorg.Chem.|2021|2034|doi:10.1002/ejic.202100141
DOI: 10.5517/ccdc.csd.cc1nxl05
title: CCDC 1546807: Experimental Crystal Structure Determination

description: Related Article: Thota Peddarao, Ashim Baishya, Nabin Sarkar, Rudresh Acharya, Sharanappa Nembenna|2021|Eur.J.Inorg.Chem.|2021|2034|doi:10.1002/ejic.202100141
DOI: 10.5517/ccdc.csd.cc1nxl27
title: CCDC 1546809: Experimental Crystal Structure Determination

description: Related Article: Thota Peddarao, Ashim Baishya, Nabin Sarkar, Rudresh Acharya, Sharanappa Nembenna|2021|Eur.J.Inorg.Chem.|2021|2034|doi:10.1002/ejic.202100141
DOI: 10.5517/ccdc.csd.cc1nxl38
title: CCDC 1546810: Experimental Crystal Structure Determination

description: Related Article: Thota Peddarao, Ashim Baishya, Nabin Sarkar, Rudresh Acharya, Sharanappa Nembenna|2021|Eur.J.Inorg.Chem.|2021|2034|doi:10.1002/ejic.202100141
DOI: 10.5517/ccdc.csd.cc1nxl49
title: CCDC 1546811: Experimental Crystal Structure Determination

description: Related Article: Thota Peddarao, Ashim Baishya, Nabin Sarkar, Rudresh Acharya, Sharanappa Nembenna|2021|Eur.J.Inorg.Chem.|2021|2034|doi:10.1002/ejic.202100141
DOI: 10.5517/ccdc.csd.cc1nxky2
title: CCDC 1546805: Experimental Crystal Structure Determination

description: Related Article: Thota Peddarao, Ashim Baishya, Nabin Sarkar, Rudresh Acharya, Sharanappa Nembenna|2021|Eur.J.Inorg.Chem.|2021|2034|doi:10.1002/ejic.202100141
DOI: 10.5517/ccdc.csd.cc1nxl16
title: CCDC 1546808: Experimental Crystal Structure Determination

description: Related Article: Thota Peddarao, Ashim Baishya, Nabin Sarkar, Rudresh Acharya, Sharanappa Nembenna|2021|Eur.J.Inorg.Chem.|2021|2034|doi:10.1002/ejic.202100141
DOI: 10.5517/ccdc.csd.cc21148j
title: CCDC 1877926: Experimental Crystal Structure Determination

description: Related Article: Thomas Auvray, Amlan K. Pal, Garry S. Hanan|2021|Eur.J.Inorg.Chem.|2021|2570|doi:10.1002/ejic.202100028
DOI: 10.5517/ccdc.csd.cc21149k
title: CCDC 1877927: Experimental Crystal Structure Determination

description: Related Article: Thomas Auvray, Amlan K. Pal, Garry S. Hanan|2021|Eur.J.Inorg.Chem.|2021|2570|doi:10.1002/ejic.202100028
DOI: 10.5517/ccdc.csd.cc23nxxm
title: CCDC 1956531: Experimental Crystal Structure Determination

description: Related Article: Zhimin Sun, Yanhai Ni, Thirumurugan Prakasam, Wenqi Liu, Huang Wu, Zhao Zhang, Haiting Di, Kim K. Baldridge, Ali Trabolsi, Mark A. Olson|2021|Chem.-Eur.J.|27|9360|doi:10.1002/chem.202100601
DOI: 10.5517/ccdc.csd.cc23nxyn
title: CCDC 1956532: Experimental Crystal Structure Determination

description: Related Article: Zhimin Sun, Yanhai Ni, Thirumurugan Prakasam, Wenqi Liu, Huang Wu, Zhao Zhang, Haiting Di, Kim K. Baldridge, Ali Trabolsi, Mark A. Olson|2021|Chem.-Eur.J.|27|9360|doi:10.1002/chem.202100601
DOI: 10.5517/ccdc.csd.cc23nxzp
title: CCDC 1956533: Experimental Crystal Structure Determination

description: Related Article: Zhimin Sun, Yanhai Ni, Thirumurugan Prakasam, Wenqi Liu, Huang Wu, Zhao Zhang, Haiting Di, Kim K. Baldridge, Ali Trabolsi, Mark A. Olson|2021|Chem.-Eur.J.|27|9360|doi:10.1002/chem.202100601
DOI: 10.5517/ccdc.csd.cc24x8n0
title: CCDC 1993382: Experimental Crystal Structure Determination

description: Related Article: Kirill M. Kuznetsov, Ilya S. Kritchenkov, Julia R. Shakirova, Vladislav V. Gurzhiy, Vladimir V. Pavlovskiy, Vitaly V. Porsev, Viktor V. Sokolov, Sergey P. Tunik|2021|Eur.J.Inorg.Chem.|2021|2163|doi:10.1002/ejic.202100189
DOI: 10.5517/ccdc.csd.cc24x8p1
title: CCDC 1993383: Experimental Crystal Structure Determination

description: Related Article: Kirill M. Kuznetsov, Ilya S. Kritchenkov, Julia R. Shakirova, Vladislav V. Gurzhiy, Vladimir V. Pavlovskiy, Vitaly V. Porsev, Viktor V. Sokolov, Sergey P. Tunik|2021|Eur.J.Inorg.Chem.|2021|2163|doi:10.1002/ejic.202100189
DOI: 10.5517/ccdc.csd.cc24x8q2
title: CCDC 1993384: Experimental Crystal Structure Determination

description: Related Article: Kirill M. Kuznetsov, Ilya S. Kritchenkov, Julia R. Shakirova, Vladislav V. Gurzhiy, Vladimir V. Pavlovskiy, Vitaly V. Porsev, Viktor V. Sokolov, Sergey P. Tunik|2021|Eur.J.Inorg.Chem.|2021|2163|doi:10.1002/ejic.202100189
DOI: 10.5255/ukda-sn-855012
title: Food Demand Scenarios in 70 World Regions, 2010-2060

description: This dataset contains food demand and food demand projections by 19 different types in physical tonne for 70 world regions. The scenarios were produced using the intergrated assessment model E3ME. The data for the E3ME food equations is taken from FAO, which captures detailed food supply data and for the purpose it is being used for, at the country level. The data produces forecasts up to 2060 (from 2010) under 2 different scenarios: (i) baseline, based on FAO projections, and (ii) food_tax, a scenario with additional taxes on soy demand in China and Brazil, increasing linearly from 2% in 2025 to 10% by 2030 and held constant thereafter.
DOI: 10.6084/m9.figshare.14983983
title: m22.bw

description: chr22 genome
DOI: 10.6084/m9.figshare.14983983.v1
title: m22.bw

description: chr22 genome
DOI: 10.6084/m9.figshare.14977440
title: Pre-processed data for Davenport and Diffenbaugh 2021

description: This dataset contains pre-processed data used in the paper "Using machine learning to analyze physical causes of climate change: a case study of U.S. Midwest extreme precipitation" by Davenport and Diffenbaugh (2021). <br><br>Included files: <br>- GHCN station data for Midwest region- daily 500-hPa geopotential height anomalies (with domain-average trend removed)- daily SLP anomalies- daily moisture flux- layerwise relevance propagation results<br><br>Code and other data supporting the analysis is available at https://github.com/fdavenport/GRL2021
DOI: 10.6084/m9.figshare.14977440.v1
title: Pre-processed data for Davenport and Diffenbaugh 2021

description: This dataset contains pre-processed data used in the paper "Using machine learning to analyze physical causes of climate change: a case study of U.S. Midwest extreme precipitation" by Davenport and Diffenbaugh (2021). <br><br>Included files: <br>- GHCN station data for Midwest region- daily 500-hPa geopotential height anomalies (with domain-average trend removed)- daily SLP anomalies- daily moisture flux- layerwise relevance propagation results<br><br>Code and other data supporting the analysis is available at https://github.com/fdavenport/GRL2021