cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/qd456m
title: A new species of Phyxioschema (Araneae: Dipluridae) from Iran

description: This dataset contains the digitized treatments in Plazi based on the original journal article Schwendinger, Peter J., Zamani, Alireza (2018): A new species of Phyxioschema (Araneae: Dipluridae) from Iran. Revue suisse de Zoologie 125 (2): 283-289, DOI: 10.5281/zenodo.1414225
DOI: 10.25721/4b0k-d545
title: Il est né le divin enfant
DOI: 10.25721/z0p9-ye02
title: Nuit de noël, nuit de lumière
DOI: 10.15468/m5zfvh
title: Taxonomic updates in Brazilian Stachytarpheta (Verbenaceae) with atropurpureous to black corollas: Two new species and a new synonym

description: This dataset contains the digitized treatments in Plazi based on the original journal article Cardoso, Pedro Henrique, Neto, Luiz Menini, Cabral, Andressa, Trovó, Marcelo (2021): Taxonomic updates in Brazilian Stachytarpheta (Verbenaceae) with atropurpureous to black corollas: Two new species and a new synonym. Phytotaxa 523 (2): 167-178, DOI: 10.11646/phytotaxa.523.2.4
DOI: 10.15468/cepxhd
title: A new species of Karualona Dumont & Silva-Briano, 2000 (Cladocera: Anomopoda Chydoridae: Aloninae) from Northeast Thailand

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tiang-Nga, Supatra, Sinev, Artem Y., Sanoamuang, Laorsri (2021): A new species of Karualona Dumont & Silva-Briano, 2000 (Cladocera: Anomopoda Chydoridae: Aloninae) from Northeast Thailand. Zootaxa 5057 (2): 285-294, DOI: https://doi.org/10.11646/zootaxa.5057.2.8
DOI: 10.15468/shsr6s
title: Scolytus jiulianshanensis, a new species of bark beetle (Coleoptera: Curculionidae: Scolytinae) from elm in China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zhang, Ling, Li, You, Smith, Sarah M., Wang, Jianguo (2021): Scolytus jiulianshanensis, a new species of bark beetle (Coleoptera: Curculionidae: Scolytinae) from elm in China. Zootaxa 5057 (2): 295-300, DOI: https://doi.org/10.11646/zootaxa.5057.2.9
DOI: 10.15468/sty6p6
title: New Cryptanthus species (Bromeliaceae: Bromelioideae) from the State of Bahia, Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Souza, Everton Hilo De, Leme, Elton M. C. (2021): New Cryptanthus species (Bromeliaceae: Bromelioideae) from the State of Bahia, Brazil. Phytotaxa 523 (2): 179-191, DOI: 10.11646/phytotaxa.523.2.5
DOI: 10.34703/gzx1-9v95/r5eq3q/sdeptc
title: Project Report Use and Implementation Models (002).pdf

description: Final project report
DOI: 10.34703/gzx1-9v95/r5eq3q
title: dLOC as Data: Project Documentation

description: Drawing on expertise based at two university libraries, Florida International University and the University of Florida, as well as a range of Digital Library of the Caribbean community partners, this project set out to make digital newspaper content more visible and actionable for computational analysis. Beyond this more concrete goal, the project aimed to build capacity for technical implementation and community engagement around a “collections as data” approach for Caribbean studies. The documentation provided in this report details implementation and lessons learned.
DOI: 10.34703/gzx1-9v95/2hwzkv/hi00gs
title: hurricane_mentions_dlocasdata_20210926.tab

description: Extracted instances of text snippets containing hurricane-related keywords from seven newspaper titles, Aruba Esso News, Barbados Advocate, Barbados Mercury & Bridgetown Gazette, El Mundo, The Herald, Haiti Sun, Le Matin.
DOI: 10.34703/gzx1-9v95/2hwzkv/lv2xnx
title: hurricane_mentions_known_dlocasdata_20210926.tab

description: Extracted instances of text snippets containing hurricane-related keywords, where the specific hurricane or tropical storm has been identified. Most records include place names, coordinates, and the storm start/end dates.
DOI: 10.34703/gzx1-9v95/2hwzkv/nln8re
title: 1950s_hurricanes_geo_dlocasdata_20210926.tab

description: Geocoded instances of text snippets containing hurricane-related keywords, associated with Hurricane Dog (1950), Hurricane Charlie (1951), and Hurricane Hazel (1954). Created as part of example demonstrating correlation between news coverage and hurricane paths.
DOI: 10.34703/gzx1-9v95/2hwzkv/ka4ess
title: bm_geo_dlocasdata_20210612.tab

description: Geocoded instances of text snippets containing hurricane-related keywords found in the Barbados Mercury & Bridgetown Gazette, 1772-1848. Created as part of example demonstrating hurricane coverage prior to NOAA data availability.
DOI: 10.34703/gzx1-9v95/2hwzkv/guwzxg
title: hurdat2_dlocasdata_20210926.tab

description: Timestamped storm path data, 1850-2018, adapted from NOAA National Hurricane Center Data Archive.
DOI: 10.34703/gzx1-9v95/2hwzkv
title: Hurricanes and tropical storms thematic newspaper data

description: As a starting point for research into newspapers' coverage of hurricanes and tropical storms, we have gathered the datasets below. More information on their creation and potential next steps can be found in the dLOC as Data
DOI: 10.5281/zenodo.5592621
title: OCTA image dataset with label annotation for quality assessment

description: This dataset is publish by the research "<em>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</em>" Detail: OCTA image dataset with label annotation for quality assessment. sOCTA-3x3-10k: 10,480 3 × 3 mm<sup>2</sup> superficial vascular layer OCTA (sOCTA) images divided into three classes; sOCTA-6x6-14k: 14,042 6 × 6 mm<sup>2</sup> sOCTA images divided into three classes. GitHub: https://github.com/shanzha09/COIPS These datasets are public available, if you use the dataset or our system in your research, please <strong>cite</strong> our paper: <em><code>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</code></em>. arXiv:https://arxiv.org/abs/2107.10476v1
DOI: 10.5281/zenodo.5075428
title: OCTA image dataset with label annotation for quality assessment

description: This dataset is publish by the research "<em>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</em>" Detail: OCTA image dataset with label annotation for quality assessment. sOCTA-3x3-10k: 10,480 3 × 3 mm<sup>2</sup> superficial vascular layer OCTA (sOCTA) images divided into three classes; sOCTA-6x6-14k: 14,042 6 × 6 mm<sup>2</sup> sOCTA images divided into three classes. GitHub: https://github.com/shanzha09/COIPS These datasets are public available, if you use the dataset or our system in your research, please <strong>cite</strong> our paper: <em><code>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</code></em>. arXiv:https://arxiv.org/abs/2107.10476v1
DOI: 10.5281/zenodo.5592818
title: What Influences Algorithmic Decision-Making? A Systematic Literature Review on Algorithm Aversion

description: Abstract With the continuing application of artificial intelligence (AI) technologies into decision-making, algorithmic decision-making is becoming more efficient, even often outperforming human counterpart. Despite this superior performance, people often consciously or unconsciously display reluctance to rely on algorithms, a phenomenon known as algorithm aversion. Viewed as a behavioral anomaly, algorithm aversion has recently attracted much scholarly attention. With a view to synthesize the findings of this literature, we systematically review 80 empirical studies identified through searching in seven academic databases and performing citation chaining. We map the emergent themes following grounded theory and categorize the influencing factors of algorithm aversion under four main themes: algorithm, individual, task, and high-level. Our analysis reveals that although algorithm and individual factors have been investigated extensively, very little effort has been given to explore the task and high-level factors. We contribute to algorithm aversion literature by proposing a comprehensive framework, highlighting open issues in existing studies, and outlining several research avenues that could be handled in future research. Implications for research and practitioners about the findings of the study are discussed.
DOI: 10.5281/zenodo.5592817
title: What Influences Algorithmic Decision-Making? A Systematic Literature Review on Algorithm Aversion

description: Abstract With the continuing application of artificial intelligence (AI) technologies into decision-making, algorithmic decision-making is becoming more efficient, even often outperforming human counterpart. Despite this superior performance, people often consciously or unconsciously display reluctance to rely on algorithms, a phenomenon known as algorithm aversion. Viewed as a behavioral anomaly, algorithm aversion has recently attracted much scholarly attention. With a view to synthesize the findings of this literature, we systematically review 80 empirical studies identified through searching in seven academic databases and performing citation chaining. We map the emergent themes following grounded theory and categorize the influencing factors of algorithm aversion under four main themes: algorithm, individual, task, and high-level. Our analysis reveals that although algorithm and individual factors have been investigated extensively, very little effort has been given to explore the task and high-level factors. We contribute to algorithm aversion literature by proposing a comprehensive framework, highlighting open issues in existing studies, and outlining several research avenues that could be handled in future research. Implications for research and practitioners about the findings of the study are discussed.
DOI: 10.5281/zenodo.5592801
title: Transposable prophages in leptospira : an ancient, now diverse, group predominant in causative agents of Weil's disease

description: The virome associated to the corkscrew shaped bacterium leptospira, responsible for the Weil disease, is scarcely known and genetic tools available for these bacteria remain limited. To reduce these two issues, potential transposable prophages were searched in <em>Leptospiraceae</em> genomes. The 236 predicted transposable prophages are particularly abundant in the most pathogenic leptospiral clade, being potentially involved in the acquisition of virulent traits. According to genomic similarities and phylogenies, these prophages are distantly related to known transposable phages and are organized into six groups, one of them encompassing prophages with unusual TA-TA ends. Interestingly, structural and transposition proteins reconstruct different relationships between groups, suggesting ancestral recombinations. Based on the baseplate phylogeny, two large clades emerge, with specific gene-contents and high sequence divergence reflecting their ancient origin. Despite their high divergence, the size and overall genomic organization of all prophages are very conserved, a testimony of the highly constrained nature of their genomes. Finally, similarities between these prophages and the three known non-transposable phages infecting <em>L. biflexa</em>, suggest gene transfer between different Caudovirales inside their leptospiral host, and the possibility to use some of the transposable prophages in that model strain.
DOI: 10.5281/zenodo.5592800
title: Transposable prophages in leptospira : an ancient, now diverse, group predominant in causative agents of Weil's disease

description: The virome associated to the corkscrew shaped bacterium leptospira, responsible for the Weil disease, is scarcely known and genetic tools available for these bacteria remain limited. To reduce these two issues, potential transposable prophages were searched in <em>Leptospiraceae</em> genomes. The 236 predicted transposable prophages are particularly abundant in the most pathogenic leptospiral clade, being potentially involved in the acquisition of virulent traits. According to genomic similarities and phylogenies, these prophages are distantly related to known transposable phages and are organized into six groups, one of them encompassing prophages with unusual TA-TA ends. Interestingly, structural and transposition proteins reconstruct different relationships between groups, suggesting ancestral recombinations. Based on the baseplate phylogeny, two large clades emerge, with specific gene-contents and high sequence divergence reflecting their ancient origin. Despite their high divergence, the size and overall genomic organization of all prophages are very conserved, a testimony of the highly constrained nature of their genomes. Finally, similarities between these prophages and the three known non-transposable phages infecting <em>L. biflexa</em>, suggest gene transfer between different Caudovirales inside their leptospiral host, and the possibility to use some of the transposable prophages in that model strain.
DOI: 10.5281/zenodo.5592427
title: Truncated Marginal Neural Ratio Estimation - Data

description: The dataset accompanying <em>Truncated Marginal Neural Ratio Estimation</em>. The software repository can be found here. The arxiv article can be found here.
DOI: 10.5281/zenodo.5592695
title: SLR on Algorithmic Decision Making

description: Abstract With the continuing application of artificial intelligence (AI) technologies into decision-making, algorithmic decision-making is becoming more efficient, even often outperforming human counterpart. Despite this superior performance, people often consciously or unconsciously display reluctance to rely on algorithms, a phenomenon known as algorithm aversion. Viewed as a behavioral anomaly, algorithm aversion has recently attracted much scholarly attention. With a view to synthesize the findings of this literature, we systematically review 80 empirical studies identified through searching in seven academic databases and performing citation chaining. We map the emergent themes following grounded theory and categorize the influencing factors of algorithm aversion under four main themes: algorithm, individual, task, and high-level. Our analysis reveals that although algorithm and individual factors have been investigated extensively, very little effort has been given to explore the task and high-level factors. We contribute to algorithm aversion literature by proposing a comprehensive framework, highlighting open issues in existing studies, and outlining several research avenues that could be handled in future research. Implications for research and practitioners about the findings of the study are discussed.
DOI: 10.5281/zenodo.5592694
title: SLR on Algorithmic Decision Making

description: Abstract With the continuing application of artificial intelligence (AI) technologies into decision-making, algorithmic decision-making is becoming more efficient, even often outperforming human counterpart. Despite this superior performance, people often consciously or unconsciously display reluctance to rely on algorithms, a phenomenon known as algorithm aversion. Viewed as a behavioral anomaly, algorithm aversion has recently attracted much scholarly attention. With a view to synthesize the findings of this literature, we systematically review 80 empirical studies identified through searching in seven academic databases and performing citation chaining. We map the emergent themes following grounded theory and categorize the influencing factors of algorithm aversion under four main themes: algorithm, individual, task, and high-level. Our analysis reveals that although algorithm and individual factors have been investigated extensively, very little effort has been given to explore the task and high-level factors. We contribute to algorithm aversion literature by proposing a comprehensive framework, highlighting open issues in existing studies, and outlining several research avenues that could be handled in future research. Implications for research and practitioners about the findings of the study are discussed.
DOI: 10.15468/9rrb7w
title: DNA barcoding of some Pandeidae species (Cnidaria, Hydrozoa, Anthoathecata)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Schuchert, Peter (2018): DNA barcoding of some Pandeidae species (Cnidaria, Hydrozoa, Anthoathecata). Revue suisse de Zoologie 125 (1): 101-127, DOI: 10.5281/zenodo.1196029
DOI: 10.6084/m9.figshare.16856137
title: Som2_2019-07-24_12-01-49

description: Electrophysiology recording
DOI: 10.6084/m9.figshare.16856137.v1
title: Som2_2019-07-24_12-01-49

description: Electrophysiolofy recordings<br>
DOI: 10.17909/t9-ztav-b843
title: HST GO 15842 imaging of galaxy cluster WHL0137-08

description: HST Cycle 27 program GO 15842 obtained these 9 orbits of imaging of the galaxy cluster WHL0137-08 in 3 filters: ACS F475W (2 orbits), F814W (5 orbits); and WFC3/IR F110W (2 orbits). This was a follow-up program primarily to study a strongly lensed z ~ 6 galaxy later dubbed the "Sunrise Arc" discovered in RELICS HST Cycle 23 program GO 14096 imaging (5 orbits in 7 filters). Note HST GO 15842 also obtained parallel imaging not included in this DOI but also publicly available via MAST.
DOI: 10.5523/bris.2db10nbgrq5w621av14h8fs0c6
title: Zhang_et_al_ACS_Polymer_2021

description: Data for open access publication "3D printable enzymatically active plastics" in ACS Applied Polymer Materials
DOI: 10.5281/zenodo.5592830
title: IODP Expedition 356, Hole U1459C - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 356: Indonesian Throughflow
DOI: 10.5281/zenodo.5592829
title: IODP Expedition 356, Hole U1459C - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 356: Indonesian Throughflow
DOI: 10.5281/zenodo.5592838
title: IODP Expedition 356, Hole U1461D - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 356: Indonesian Throughflow
DOI: 10.5281/zenodo.5592837
title: IODP Expedition 356, Hole U1461D - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 356: Indonesian Throughflow
DOI: 10.5281/zenodo.5592846
title: IODP Expedition 356, Hole U1462A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 356: Indonesian Throughflow
DOI: 10.5281/zenodo.5592845
title: IODP Expedition 356, Hole U1462A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 356: Indonesian Throughflow
DOI: 10.5281/zenodo.5592840
title: IODP Expedition 356, Hole U1462C - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 356: Indonesian Trough Flow
DOI: 10.5281/zenodo.5592839
title: IODP Expedition 356, Hole U1462C - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 356: Indonesian Trough Flow
DOI: 10.5281/zenodo.5592848
title: IODP Expedition 356, Hole U1463B - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 356: Indonesian Trough Flow
DOI: 10.5281/zenodo.5592847
title: IODP Expedition 356, Hole U1463B - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 356: Indonesian Trough Flow
DOI: 10.5281/zenodo.5592842
title: Ara rubrogenys decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5592841
title: Ara rubrogenys decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5592852
title: IODP Expedition 356, Hole U1464C - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 356: Indonesian Trough Flow
DOI: 10.5281/zenodo.5592851
title: IODP Expedition 356, Hole U1464C - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 356: Indonesian Trough Flow