cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6402375
title: ICA magnetic susceptibility networks

description: Magnetic susceptibility networks derived from independent component analysis from a cohort of 170 healthy individuals aged 9 to 81 years ("dorsal-striatum_mni152.nii.gz", "brainstem_mni152.nii.gz", "gpi_mni152.nii.gz", "thalamus_mni152.nii.gz", "cerebellar_mni152.nii.gz"), and from a cohort of 118 patients with MS and 115 healthy controls ("ms-caudate_mni152.nii.gz", "ms-mesencephalon_mni152.nii.gz", "ms-pulvinar_mni152.nii.gz"). These have been non-linearly transformed to MNI152 space (Desikan et al, 2006). Desikan RS, Ségonne F, Fischl B, et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. <em>Neuroimage</em>. 2006;31(3):968-980. doi:10.1016/j.neuroimage.2006.01.021
DOI: 10.6084/m9.figshare.19172445.v2
title: Adaptive Design and Analysis Via Partitioning Trees for Emulation of a Complex Computer Code

description: Computer models are used as replacements for physical experiments in a large variety of applications. Nevertheless, direct use of the computer model for the ultimate scientific objective is often limited by the complexity and cost of the model. Gaussian process regression has been the almost ubiquitous choice for a fast statistical emulator for such a computer model, due to its flexible form and analytical expressions for measures of predictive uncertainty. However, even this statistical emulator can be computationally intractable for large designs, due to computing time increasing with the cube of the design size. Multiple methods have been proposed for addressing this problem. We discuss several of them, and compare their predictive and computational performance in several scenarios. We propose solving this problem using a new method, adaptive design and analysis via partitioning trees (ADAPT). The new approach is motivated by the idea that most computer models are only complex in particular regions of the input space. By taking a data-adaptive approach to the development of a design, and choosing to partition the space in the regions of highest variability, we obtain a higher density of points in these regions and hence accurate prediction. Supplemental files for this article are available online.
DOI: 10.6084/m9.figshare.19172445
title: Adaptive Design and Analysis Via Partitioning Trees for Emulation of a Complex Computer Code

description: Computer models are used as replacements for physical experiments in a large variety of applications. Nevertheless, direct use of the computer model for the ultimate scientific objective is often limited by the complexity and cost of the model. Gaussian process regression has been the almost ubiquitous choice for a fast statistical emulator for such a computer model, due to its flexible form and analytical expressions for measures of predictive uncertainty. However, even this statistical emulator can be computationally intractable for large designs, due to computing time increasing with the cube of the design size. Multiple methods have been proposed for addressing this problem. We discuss several of them, and compare their predictive and computational performance in several scenarios. We propose solving this problem using a new method, adaptive design and analysis via partitioning trees (ADAPT). The new approach is motivated by the idea that most computer models are only complex in particular regions of the input space. By taking a data-adaptive approach to the development of a design, and choosing to partition the space in the regions of highest variability, we obtain a higher density of points in these regions and hence accurate prediction. Supplemental files for this article are available online.
DOI: 10.5281/zenodo.6402374
title: ICA magnetic susceptibility networks

description: Magnetic susceptibility networks derived from independent component analysis from a cohort of 170 healthy individuals aged 9 to 81 years ("dorsal-striatum_mni152.nii.gz", "brainstem_mni152.nii.gz", "gpi_mni152.nii.gz", "thalamus_mni152.nii.gz", "cerebellar_mni152.nii.gz"), and from a cohort of 118 patients with MS and 115 healthy controls ("ms-caudate_mni152.nii.gz", "ms-mesencephalon_mni152.nii.gz", "ms-pulvinar_mni152.nii.gz"). These have been non-linearly transformed to MNI152 space (Desikan et al, 2006). Desikan RS, Ségonne F, Fischl B, et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. <em>Neuroimage</em>. 2006;31(3):968-980. doi:10.1016/j.neuroimage.2006.01.021
DOI: 10.6084/m9.figshare.19172445.v1
title: Adaptive Design and Analysis Via Partitioning Trees for Emulation of a Complex Computer Code

description: Computer models are used as replacements for physical experiments in a large variety of applications. Nevertheless, direct use of the computer model for the ultimate scientific objective is often limited by the complexity and cost of the model. Gaussian process regression has been the almost ubiquitous choice for a fast statistical emulator for such a computer model, due to its flexible form and analytical expressions for measures of predictive uncertainty. However, even this statistical emulator can be computationally intractable for large designs, due to computing time increasing with the cube of the design size. Multiple methods have been proposed for addressing this problem. We discuss several of them, and compare their predictive and computational performance in several scenarios. We propose solving this problem using a new method, adaptive design and analysis via partitioning trees (ADAPT). The new approach is motivated by the idea that most computer models are only complex in particular regions of the input space. By taking a data-adaptive approach to the development of a design, and choosing to partition the space in the regions of highest variability, we obtain a higher density of points in these regions and hence accurate prediction. Supplemental materials for this article are available online.
DOI: 10.25810/37f9-1j65.47
title: Spanish Newspaper Coverage of Climate Change or Global Warming, 2000-2022 - February 2022

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25810/qt7k-6r09.34
title: Swedish Newspaper Coverage of Climate Change or Global Warming, 2000-2022 - February 2022

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25810/8196-e820.47
title: United Kingdom Newspaper Coverage of Climate Change or Global Warming, 2000-2021 - February 2022

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25810/jck1-hf50.47
title: United States Newspaper Coverage of Climate Change or Global Warming, 2000-2022 - February 2022

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.18112/openneuro.ds003592.v1.0.9
title: Neurocognitive aging data release with behavioral, structural, and multi-echo functional MRI measures
DOI: 10.18112/openneuro.ds003592.v1.0.10
title: Neurocognitive aging data release with behavioral, structural, and multi-echo functional MRI measures
DOI: 10.6084/m9.figshare.19469861
title: Source data for research article "Audiovisual adaptation is expressed in spatial and decisional codes"

description: Source data for research article "Audiovisual adaptation is expressed in spatial and decisional codes" by Máté Aller, Agoston Mihalik and Uta Noppeney. <br>
DOI: 10.6084/m9.figshare.19469861.v2
title: Source data for research article "Audiovisual adaptation is expressed in spatial and decisional codes"

description: Source data for research article "Audiovisual adaptation is expressed in spatial and decisional codes" by Máté Aller, Agoston Mihalik and Uta Noppeney. <br>
DOI: 10.6084/m9.figshare.19469861.v1
title: audiovisual_adaptation_fMRI_EEG_source_data.zip

description: Source data file for repository audiovisual_adaptation_fMRI_EEG<br>
DOI: 10.6084/m9.figshare.19491326
title: bmrk5_pain

description: Evoked pain and aversive sound single trial fMRI contrast images.
DOI: 10.6084/m9.figshare.19491326.v1
title: bmrk5_pain

description: Evoked pain and aversive sound single trial fMRI contrast images.
DOI: 10.6084/m9.figshare.12482345.v10
title: Nitrate, Chloride & Total Hardness Data by Section and/or Town-Range, Center for Watershed Science and Education, Univ of Wisconsin-Stevens Point/Univ of Wisconsin-Madison Division of Extension, Stevens Point, WI

description: Nitrate, Chloride and Total Hardness data for private wells collected in the Wisconsin area. The data provides the average of nitrate(mg/L), chloride (mg/L), total hardness (mg/L) per Section and/or Town-Range in the state of Wisconsin. Center for Watershed Science and Education, Univ of Wisconsin-Stevens Point/Univ of Wisconsin-Madison Division of Extension, Stevens Point, WI.
DOI: 10.6084/m9.figshare.13232243
title: PhenologyComparisonMaster3.21.22_FigShare.xlsx

description: Dataset specific to a comparative study of modern and historic phenology data. The species and parameters were drawn from available open source USA_NPN data for years of study at the time (2009-2017), as well as historic data from a historical dataset for only the years that match species and years also found in the modern open source USA-NPN data.<br><br>
DOI: 10.6084/m9.figshare.13232243.v1
title: MasterPhenologyData11.25_FigShare.xlsx

description: Dataset specific to a comparative study of modern and historic phenology data. The species and parameters were drawn from available open source USA_NPN data for years of study at the time (2009-2017), as well as historic data from another open source dataset for only the years that match species and years also found in the modern open source USA-NPN data.<br>Note: This spreadsheet represents the most recent master spreadsheet we could access after a file corruption issue with the JMP file used for the analysis (copied from this excel master). Differences between files would be minimal and not affect reproducible results.
DOI: 10.18739/a2b27ps44
title: Alaska school characteristics and teacher retention, 2009-2015

description: High teacher turnover in rural Alaska is costly and prevents indigenous students from entering career pathways or college education. To provide equity and access to quality education, Arctic Alaska needs a consistent and culturally responsive teacher workforce that is integrated into the community life. The dataset examines school characteristics, reading/writing, and mathematics test scores. students enrollment, teacher attrition, and related demographics variables of 78 rural Alaska schools.
DOI: 10.18739/a25d8ng3g
title: Collaborative Research: Water, Energy, and Food Security in the North: Synergies, tradeoffs, and building community capacity for sustainable futures (Sustainable Futures North)

description: The Sustainable Futures North project addresses the question of whether synergies can be found among the related goals of food security, water security, energy security, and resource development in the North American Arctic. Historically, development in one or more of these areas has presented trade-offs in others; for example, petroleum exploration and development is often associated with negative impacts on traditional subsistence species and practices. Similarly, residents of the Bristol Bay region of Alaska are currently embroiled in a debate over the risks and benefits of developing of a copper and gold mine, which would ostensibly provide jobs and economic development opportunities, at the headwaters of a watershed that supports the world?s largest sockeye salmon run. With an eye toward eliciting best practices for community development and resource management that target synergies rather than trade-offs, we plan to combine integrated regional assessments of water, food, and energy systems in three regions of the North: Bristol Bay (Alaska), Baffin Island (Canada), and Kotzebue Sound (Alaska), where people and communities share a variety of challenges relating to climate change, socioeconomic change, and industrial development. The research methods that make up our interdisciplinary toolkit include key informant interviews, integration and analysis of secondary datasets, climate change downscaling, engineering best practice and gap analysis, and rural-urban network analysis. We will link these qualitative and quantitative research methods to explore cause-and-effect relationships between development activities and societal and environmental changes, and will integrate social and ecological datasets with climate change scenarios to project future community responses to climatic and environmental change. The findings of this research will inform a collaborative education and outreach program designed to build capacity through workforce development, STEM internships, and post-secondary curricula and programs in environmental management and engineering.
DOI: 10.6084/m9.figshare.3761562.v2174
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.19491440
title: bmrk5snd

description: Single trial fMRI contrast images for aversive sounds
DOI: 10.6084/m9.figshare.19491440.v1
title: bmrk5snd

description: Single trial fMRI contrast images for aversive sounds
DOI: 10.5517/ccdc.csd.cc28cfgk
title: CCDC 2096358: Experimental Crystal Structure Determination

description: Related Article: Jonathan Kiehl, Tim Hochdörffer, Luca M. Carrella, Volker Schünemann, Mathilde H. Nygaard, Jacob Overgaard, Eva Rentschler|2022|Inorg.Chem.|61|3141|doi:10.1021/acs.inorgchem.1c03491
DOI: 10.5281/zenodo.6397282
title: Data: Boreal forest soil carbon fluxes one year after a wildfire: Effects of burn severity and management

description: 2018 Boreal forest fires in Sweden: Measurements of soil CO2 and CH4 fluxes, soil microclimate and nutrient content during the first growing season after a wildfire, from forest sites impacted by different fire severity (tree mortality) and post-fire management. Data used in: Boreal forest soil carbon fluxes one year after a wildfire: Effects of burn severity and management; Julia Kelly, Theresa S. Ibáñez, Cristina Santín, Stefan H. Doerr, Marie-Charlotte Nilsson, Thomas Holst, Anders Lindroth, Natascha Kljun; Global Change Biology, 27, 4181-4195, https://doi.org/10.1111/gcb.15721
description: Data sampled in 2019, Ljusdal fire complex (Sweden), first growing season after a wildfire. For details on the methodology and instrumental set-up, please see linked publication. Funding information Swedish Strategic Research Area BECC, Biodiversity and Ecosystem Services in a Changing Climate, Grant/Award Number: 2018; Crafoordska Stiftelsen, Grant/Award Number: 20190763; Ramon y Cajal, Grant/Award Number: RYC2018- 025797-I; Swedish Research Council Formas, Grant/Award Number: 2018- 02700 and 2019-00836
description: {"references": ["Kelly, Julia, Theresa S. Ib\u00e1\u00f1ez, Cristina Sant\u00edn, Stefan H. Doerr, Marie-Charlotte Nilsson, Thomas Holst, Anders Lindroth, Natascha Kljun, 2021: 'Boreal forest soil carbon fluxes one year after a wildfire: Effects of burn severity and management', Global Change Biology, 27, 4181-4195, https://doi.org/10.1111/gcb.15721"]}
DOI: 10.5281/zenodo.6397281
title: Data: Boreal forest soil carbon fluxes one year after a wildfire: Effects of burn severity and management

description: 2018 Boreal forest fires in Sweden: Measurements of soil CO2 and CH4 fluxes, soil microclimate and nutrient content during the first growing season after a wildfire, from forest sites impacted by different fire severity (tree mortality) and post-fire management. Data used in: Boreal forest soil carbon fluxes one year after a wildfire: Effects of burn severity and management; Julia Kelly, Theresa S. Ibáñez, Cristina Santín, Stefan H. Doerr, Marie-Charlotte Nilsson, Thomas Holst, Anders Lindroth, Natascha Kljun; Global Change Biology, 27, 4181-4195, https://doi.org/10.1111/gcb.15721
description: Data sampled in 2019, Ljusdal fire complex (Sweden), first growing season after a wildfire. For details on the methodology and instrumental set-up, please see linked publication. Funding information Swedish Strategic Research Area BECC, Biodiversity and Ecosystem Services in a Changing Climate, Grant/Award Number: 2018; Crafoordska Stiftelsen, Grant/Award Number: 20190763; Ramon y Cajal, Grant/Award Number: RYC2018- 025797-I; Swedish Research Council Formas, Grant/Award Number: 2018- 02700 and 2019-00836
description: {"references": ["Kelly, Julia, Theresa S. Ib\u00e1\u00f1ez, Cristina Sant\u00edn, Stefan H. Doerr, Marie-Charlotte Nilsson, Thomas Holst, Anders Lindroth, Natascha Kljun, 2021: 'Boreal forest soil carbon fluxes one year after a wildfire: Effects of burn severity and management', Global Change Biology, 27, 4181-4195, https://doi.org/10.1111/gcb.15721"]}
DOI: 10.6084/m9.figshare.19082540
title: OCEAN mailing list data from open source communities

description: We present the data collected as part of the Open-source Complex Ecosystem And Networks (OCEAN) partnership between Google Open Source and the University of Vermont. This includes mailing list emails with standardized format spanning the past three decades from fourteen mailing lists across four different open source communities: Python, Angular, Node.js, and the Go language.<br>This data is presented in the following publication: Warrick, M., Rosenblatt, S. F., Young, J. G., Casari, A., Hébert-Dufresne, L., & Bagrow, J. P. (2022). The OCEAN mailing list data set: Network analysis spanning mailing lists and code repositories. In <i>2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR). </i>IEEE.<br>
DOI: 10.6084/m9.figshare.19082540.v1
title: OCEAN mailing list data from open source communities

description: We present the data collected as part of the Open-source Complex Ecosystem And Networks (OCEAN) partnership between Google Open Source and the University of Vermont. This includes mailing list emails with standardized format spanning the past three decades from fourteen mailing lists across four different open source communities: Python, Angular, Node.js, and the Go language.<br>This data is presented in the following publication: Warrick, M., Rosenblatt, S. F., Young, J. G., Casari, A., Hébert-Dufresne, L., & Bagrow, J. P. (2022). The OCEAN mailing list data set: Network analysis spanning mailing lists and code repositories. In <i>2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR). </i>IEEE.<br>
DOI: 10.6084/m9.figshare.14919726.v2
title: KSTAR Supplementary Data

description: This contains all raw data and predictions of the studies covered in the KSTAR publication. Data folders are broken up based on figures and match KSTAR data folder structures for results.
DOI: 10.17870/bathspa.15124089.v1
title: D4D: Electric Bodies - 'Thalidomide Acts' poetry and interview content

description: D4D (Disability and Community: Dis/engagement, Dis/enfranchisement, Dis/parity and Dissent) was a four year AHRC Connected Communities project investigating issues around disability and community.<br>Electric Bodies was one of the eight project strands. It explored the relationship between the disabled artist and the disability arts community through a series of extensive life history interviews edited into transcription poetry cycles.<br>'Thalidomide Acts' is a cycle of transcription poems written by Allan Sutherland. They are based on interviews conducted by Sutherland with the performer Mat Fraser.<br>The poems cover Fraser's early life, his experiences as someone with a thalidomide impairment, his time as drummer in a punk band and his early years in Graeae Theatre. They also cover his work in television and his move to the United States, where he became a leading figure in the New York burlesque scene. Fraser describes the genesis of such stage shows as 'Sealboy: Freak' and 'Beauty and the Beast' as well as his work in the top US TV series 'American Horror Story: Freak Show'. He analyses the barriers in mainstream television to a performer such as him, in demand if they need a freak but never cast as the guy next door.<br>This item contains the following files:<br>The poems (PDF)<br>Recording of Allan Sutherland reading the poems (MP3)Transcript of the interview (PDF)Audio of the interview (6 x MP3)<br><br><b>This content has been uploaded with the permission of the creators. This content is under copyright and may not be used without permission. Use of this repository acknowledges cooperation with its policies and relevant copyright law.</b>
DOI: 10.17870/bathspa.15124089
title: D4D: Electric Bodies - 'Thalidomide Acts' poetry and interview content

description: D4D (Disability and Community: Dis/engagement, Dis/enfranchisement, Dis/parity and Dissent) was a four year AHRC Connected Communities project investigating issues around disability and community.<br>Electric Bodies was one of the eight project strands. It explored the relationship between the disabled artist and the disability arts community through a series of extensive life history interviews edited into transcription poetry cycles.<br>'Thalidomide Acts' is a cycle of transcription poems written by Allan Sutherland. They are based on interviews conducted by Sutherland with the performer Mat Fraser.<br>The poems cover Fraser's early life, his experiences as someone with a thalidomide impairment, his time as drummer in a punk band and his early years in Graeae Theatre. They also cover his work in television and his move to the United States, where he became a leading figure in the New York burlesque scene. Fraser describes the genesis of such stage shows as 'Sealboy: Freak' and 'Beauty and the Beast' as well as his work in the top US TV series 'American Horror Story: Freak Show'. He analyses the barriers in mainstream television to a performer such as him, in demand if they need a freak but never cast as the guy next door.<br>This item contains the following files:<br>The poems (PDF)<br>Recording of Allan Sutherland reading the poems (MP3)Transcript of the interview (PDF)Audio of the interview (6 x MP3)<br><br><b>This content has been uploaded with the permission of the creators. This content is under copyright and may not be used without permission. Use of this repository acknowledges cooperation with its policies and relevant copyright law.</b>