cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/74swhx
title: The genus Chionanthus (Oleaceae) in Cambodia, Laos and Vietnam

description: This dataset contains the digitized treatments in Plazi based on the original journal article Quang, Bui Hong, Nuraliev, Maxim S. (2021): The genus Chionanthus (Oleaceae) in Cambodia, Laos and Vietnam. Phytotaxa 525 (3): 167-195, DOI: 10.11646/phytotaxa.525.3.1
DOI: 10.15468/wukt2n
title: Unraveling the taxonomic identity of Cocos nucifera f. palmyrensis (Arecaceae: Cocoseae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Harries, Hugh C., Pignotti, Lia, Baldini, Riccardo M. (2020): Unraveling the taxonomic identity of Cocos nucifera f. palmyrensis (Arecaceae: Cocoseae). Candollea 75 (1): 25-30, DOI: 10.15553/c2020v751a2
DOI: 10.6084/m9.figshare.17049482
title: Raw data of the manuscript_Effect of Sarcandra glabra Extracted Residue Polysaccharides on Diabetic Encephalopathy via Modulation of Psychobiotics-Short Chain Fatty Acids-Intestinal Neurons Axis.

description: Raw data of the manuscript_Effect of Sarcandra glabra Extracted Residue Polysaccharides on Diabetic Encephalopathy via Modulation of Psychobiotics-Short Chain Fatty Acids-Intestinal Neurons Axis.
DOI: 10.6084/m9.figshare.17049482.v1
title: Raw data of the manuscript_Effect of Sarcandra glabra Extracted Residue Polysaccharides on Diabetic Encephalopathy via Modulation of Psychobiotics-Short Chain Fatty Acids-Intestinal Neurons Axis.

description: Raw data of the manuscript_Effect of Sarcandra glabra Extracted Residue Polysaccharides on Diabetic Encephalopathy via Modulation of Psychobiotics-Short Chain Fatty Acids-Intestinal Neurons Axis.
DOI: 10.15468/bncwb7
title: Nandiniidae

description: This dataset contains the digitized treatments in Plazi based on the original book chapter Don E. Wilson, Russell A. Mittermeier (2009): Nandiniidae. In: Handbook of the Mammals of the World – Volume 1 Carnivores. Barcelona: Lynx Edicions: 50-53, DOI: http://doi.org/10.5281/zenodo.5714307
DOI: 10.25405/data.ncl.16955437
title: NPESS raw data.xlsx

description: Raw data for manuscript 'Development and application of a semi-quantitative scoring method for ultrastructural assessment of acute stress in pancreatic islets'
DOI: 10.5281/zenodo.5714364
title: A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure.

description: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE84133
DOI: 10.5281/zenodo.5714363
title: A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure.

description: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE84133
DOI: 10.5281/zenodo.5705563
title: Large-eddy simulation of airborne wind energy farms: AWES virtual flight data

description: Large-eddy simulation of airborne wind energy farms: AWES virtual flight data. This dataset contains virtual flight data collected from individual systems in airborne wind energy parks obtained by means of large-eddy simulations. All data are stored as Python dictionary objects in the Pickle format. Additional Python scripts are provided to visualize the data.
DOI: 10.5281/zenodo.5705562
title: Large-eddy simulation of airborne wind energy farms: AWES virtual flight data

description: Large-eddy simulation of airborne wind energy farms: AWES virtual flight data. This dataset contains virtual flight data collected from individual systems in airborne wind energy parks obtained by means of large-eddy simulations. All data are stored as Python dictionary objects in the Pickle format. Additional Python scripts are provided to visualize the data.
DOI: 10.6084/m9.figshare.14446900
title: Reducing mental illness stigma: What types of images are most effective?

description: Public stigma against mental illness is a barrier to treatment and recovery. Research into the design of anti-stigma messages has focused heavily on text; there is limited information on what types of images are most persuasive in eliciting anti-stigma outcomes. This is important to study because the type of image used to depict an illness can influence how the illness is perceived, which in turn can affect how people with the illness are treated. Through an online experiment with 162 American adults, this study investigated whether mental illness narratives about depression illustrated with photographs are more effective than those illustrated with cartoons at reducing stigma. It was found that the illustrated narratives, whether with photo or cartoon, produced more anti-stigma effects than the text-only narrative (control). Further, the photographic narrative was more effective than the cartoon narrative in eliciting closeness to the story protagonist and willingness to donate to mental health services. The study’s findings indicate that images should be used in anti-stigma messages on depression; further, regarding image type, photographs should be considered over cartoons as they are more effective in eliciting certain anti-stigma outcomes.Implications for PracticeThis study suggests that images have strong anti-stigma effects and that photographs are sometimes more persuasive than cartoons. These findings can inform best-practice guidelines for designing anti-stigma messages, created and disseminated by organisations such as the United States’ National Alliance on Mental Illness and Mental Health America. Images in these messages should be selected carefully as they can influence how people with mental illness are perceived and treated. This study suggests that images have strong anti-stigma effects and that photographs are sometimes more persuasive than cartoons. These findings can inform best-practice guidelines for designing anti-stigma messages, created and disseminated by organisations such as the United States’ National Alliance on Mental Illness and Mental Health America. Images in these messages should be selected carefully as they can influence how people with mental illness are perceived and treated.
DOI: 10.6084/m9.figshare.14446900.v2
title: Reducing mental illness stigma: What types of images are most effective?

description: Public stigma against mental illness is a barrier to treatment and recovery. Research into the design of anti-stigma messages has focused heavily on text; there is limited information on what types of images are most persuasive in eliciting anti-stigma outcomes. This is important to study because the type of image used to depict an illness can influence how the illness is perceived, which in turn can affect how people with the illness are treated. Through an online experiment with 162 American adults, this study investigated whether mental illness narratives about depression illustrated with photographs are more effective than those illustrated with cartoons at reducing stigma. It was found that the illustrated narratives, whether with photo or cartoon, produced more anti-stigma effects than the text-only narrative (control). Further, the photographic narrative was more effective than the cartoon narrative in eliciting closeness to the story protagonist and willingness to donate to mental health services. The study’s findings indicate that images should be used in anti-stigma messages on depression; further, regarding image type, photographs should be considered over cartoons as they are more effective in eliciting certain anti-stigma outcomes.Implications for PracticeThis study suggests that images have strong anti-stigma effects and that photographs are sometimes more persuasive than cartoons. These findings can inform best-practice guidelines for designing anti-stigma messages, created and disseminated by organisations such as the United States’ National Alliance on Mental Illness and Mental Health America. Images in these messages should be selected carefully as they can influence how people with mental illness are perceived and treated. This study suggests that images have strong anti-stigma effects and that photographs are sometimes more persuasive than cartoons. These findings can inform best-practice guidelines for designing anti-stigma messages, created and disseminated by organisations such as the United States’ National Alliance on Mental Illness and Mental Health America. Images in these messages should be selected carefully as they can influence how people with mental illness are perceived and treated.
DOI: 10.15468/a4kaz3
title: Prionodonotidae

description: This dataset contains the digitized treatments in Plazi based on the original book chapter Don E. Wilson, Russell A. Mittermeier (2009): Prionodonotidae. In: Handbook of the Mammals of the World – Volume 1 Carnivores. Barcelona: Lynx Edicions: 170-173, DOI: http://doi.org/10.5281/zenodo.5714314
DOI: 10.25405/data.ncl.16955437.v1
title: NPESS raw data.xlsx

description: Raw data for manuscript 'Development and application of a semi-quantitative scoring method for ultrastructural assessment of acute stress in pancreatic islets'
DOI: 10.7294/14448027.v2
title: Vortex patterns in the wake of an oscillating cylinder in a flowing soap film

description: This data set contains video recordings of flow visualization experiments conducted in an inclined gravity-driven soap film channel, in which a cylinder was transversely oscillated at specific frequencies and amplitudes. Each video corresponds to a single experiment conducted at a certain non-dimensional frequency and amplitude.
DOI: 10.5281/zenodo.5714380
title: Code to generate figures 3 and 4 of: "A comprehensive LFQ benchmark dataset to validate data analysis pipelines on modern day acquisition strategies in proteomics."

description: Code to generate figures 3 and 4 of the manuscript titled "A comprehensive LFQ benchmark dataset to validate data analysis pipelines on modern day acquisition strategies in proteomics."
DOI: 10.5281/zenodo.5714379
title: Code to generate figures 3 and 4 of: "A comprehensive LFQ benchmark dataset to validate data analysis pipelines on modern day acquisition strategies in proteomics."

description: Code to generate figures 3 and 4 of the manuscript titled "A comprehensive LFQ benchmark dataset to validate data analysis pipelines on modern day acquisition strategies in proteomics."
DOI: 10.25502/4kax-0j30/d
title: Optimal planting and harvest time for cassava in Nigeria and Tanzania

description: ACAI is a 5 year Bill & Melinda Gates Foundation funded project in 5 countries in Africa (Nigeria and Tanzania) providing tailored agronomic advice to small scale cassava growers in the target countries. The project delivers agronomic solutions to improve cassava root yield and quality and the necessary knowledge base and applications for accessing this knowledge to cassava scaling partners and ultimately farmers in the target countries while instituting the necessary capacity and skills for national system scientists to engage in transformative cassava agronomy.
DOI: 10.5517/ccdc.csd.cc28cy7v
title: CCDC 2096847: Experimental Crystal Structure Determination

description: Related Article: Zihan Fang, Luyao Wang, Xijiao Mu, Bin Chen, Qiu Xiong, Wei David Wang, Jiaxin Ding, Peng Gao, Yiying Wu, Jing Cao|2021|J.Am.Chem.Soc.|143|18989|doi:10.1021/jacs.1c07518
DOI: 10.5066/p9rroaa8
title: Mean seasonal time-step estimates of daily streamflow and daily baseflow, and loads of total nitrogen, total phosphorus, and total suspended solids at surface-water stations in the southeastern United States, 2001-14

description: This metadata record describes mean seasonal time-step estimates of daily streamflow and daily baseflow, and total and baseflow estimates of loads of total nitrogen, total phosphorus, and total suspended solids at surface-water stations in the southeastern United States for the period 2001-14. Streamflow and load estimates described in this data release were obtained using the Fluxmaster approach described in Saad and others (2019). Saad, D.A., Schwarz, G.E., Argue, D.M., Anning, D.W., Ator, S.W., Hoos, A.B., Preston, S.D., Robertson, D.M., and Wise, D.R., 2019, Estimates of long-term mean daily streamflow and annual nutrient and suspended-sediment loads considered for use in regional SPARROW models of the conterminous United States, 2012 base year: U.S. Geological Survey Scientific Investigations Report 2019-5069, 51 p., https://doi.org/10.3133/sir20195069.
DOI: 10.3886/e155022
title: National Neighborhood Data Archive (NaNDA): Internet Access by Census Tract, United States, 2015-2019

description: This dataset contains measures of internet access per United States census tract from the 2015-2019 American Community Survey five-year estimate. Key variables include the number and percent of households per tract with any type of internet subscription, with broadband internet, and with a computer or smartphone.
description: All census tracts in the fifty United States, District of Columbia, and Puerto Rico. Smallest Geographic Unit: census tract
DOI: 10.5281/zenodo.5712456
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.5712455
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.25345/c5zs04
title: MassIVE MSV000088416 - Sea_lamprey_Maturation_Sex_Differences
title: Comparison of immature and mature individuals, both male and females, in order to identify the main pathways affected by the maturation process, with particular emphasis on bile acid synthesis, which is a fundamental process for this animal.
DOI: 10.5281/zenodo.5655048
title: Supplementary Material for 'Benchmarking Explanatory Models for Inertia Forecasting using Public Data of the Nordic Area'

description: This data set is supplementary material for the paper 'Benchmarking Explanatory Models for Inertia Forecasting using Public Data of the Nordic Area' by Jemima Sophie Graham, Evelyn Heylen, and Fei Teng. This data set is intended for day-ahead inertia forecasting in the Nordic (Eastern Denmark, Finland, Norway, Sweden). It contains hourly data for the inertial energy (MVAs), day-ahead national demand forecast (MW), day-ahead wind power forecast (MW), day-ahead solar power forecast (MW), and interconnection flow (MW) in the Nordic between January 2016 and August 2020.
DOI: 10.5281/zenodo.5655047
title: Supplementary Material for 'Benchmarking Explanatory Models for Inertia Forecasting using Public Data of the Nordic Area'

description: This data set is supplementary material for the paper 'Benchmarking Explanatory Models for Inertia Forecasting using Public Data of the Nordic Area' by Jemima Sophie Graham, Evelyn Heylen, and Fei Teng. This data set is intended for day-ahead inertia forecasting in the Nordic (Eastern Denmark, Finland, Norway, Sweden). It contains hourly data for the inertial energy (MVAs), day-ahead national demand forecast (MW), day-ahead wind power forecast (MW), day-ahead solar power forecast (MW), and interconnection flow (MW) in the Nordic between January 2016 and August 2020.
DOI: 10.25345/c5v29c
title: MassIVE MSV000088417 - Sea_lamprey_Maturation_Sex_Differences
title: Comparison between immature individuals, both male and female, to study the impact of maturation processes on biological pathways, with particular emphasis on bile acid synthesis.
DOI: 10.5281/zenodo.5714465
title: PERFORM Dataset; one control subject

description: Functional Magnetic Resonance Imaging (fMRI), electroencephalography (EEG), sleep and nutrition assessments were performed on one male control subject. This registered access dataset is currently accessible on request only.
DOI: 10.5525/gla.researchdata.1222
title: A global map of the Zika virus phosphoproteome reveals host-driven regulation of viral budding

description: Mass spectrometry data (raw and processed) describing proteins from Zika virus particles
DOI: 10.5281/zenodo.5714485
title: PERFORM Dataset; one control subject

description: Functional Magnetic Resonance Imaging (fMRI), electroencephalography (EEG), sleep and nutrition assessments were performed on one male control subject. This registered access dataset is currently accessible on request only.
DOI: 10.5281/zenodo.5714435
title: Lehigh University Benchmark (LUBM): Evolving Graph Simulation

description: The Lehigh University Benchmark (LUBM) generates benchmark datasets containing people working at universities [1]. We use the Data Generator v1.7 to generate 10 versions of a graph containing 100 universities [2].<br> Thus, all versions are of similar size, but we emulate modifications by generating different vertex identifiers, i.e., each version is considered a timestamped graph. Each graph contains about 2.1 M vertices and 13 M edges.<br> Over all versions, the mean degree is 6.7 (+- 0.1), the mean in-degree is 6.8 (+- 0.1), and the mean out-degree is 5.1 (+- 0.1). 1. Yuanbo Guo, Zhengxiang Pan, Jeff Heflin: LUBM: A benchmark for OWL knowledge base systems. J. Web Semant. 3(2-3): 158-182 (2005) 2. Till Blume, David Richerby, Ansgar Scherp: Incremental and Parallel Computation of Structural Graph Summaries for Evolving Graphs. CIKM 2020: 75-84
description: {"references": ["Yuanbo Guo, Zhengxiang Pan, Jeff Heflin: LUBM: A benchmark for OWL knowledge base systems. J. Web Semant. 3(2-3): 158-182 (2005)", "Till Blume, David Richerby, Ansgar Scherp: Incremental and Parallel Computation of Structural Graph Summaries for Evolving Graphs. CIKM 2020: 75-84"]}
DOI: 10.5281/zenodo.5714434
title: Lehigh University Benchmark (LUBM): Evolving Graph Simulation

description: The Lehigh University Benchmark (LUBM) generates benchmark datasets containing people working at universities [1]. We use the Data Generator v1.7 to generate 10 versions of a graph containing 100 universities [2].<br> Thus, all versions are of similar size, but we emulate modifications by generating different vertex identifiers, i.e., each version is considered a timestamped graph. Each graph contains about 2.1 M vertices and 13 M edges.<br> Over all versions, the mean degree is 6.7 (+- 0.1), the mean in-degree is 6.8 (+- 0.1), and the mean out-degree is 5.1 (+- 0.1). 1. Yuanbo Guo, Zhengxiang Pan, Jeff Heflin: LUBM: A benchmark for OWL knowledge base systems. J. Web Semant. 3(2-3): 158-182 (2005) 2. Till Blume, David Richerby, Ansgar Scherp: Incremental and Parallel Computation of Structural Graph Summaries for Evolving Graphs. CIKM 2020: 75-84
description: {"references": ["Yuanbo Guo, Zhengxiang Pan, Jeff Heflin: LUBM: A benchmark for OWL knowledge base systems. J. Web Semant. 3(2-3): 158-182 (2005)", "Till Blume, David Richerby, Ansgar Scherp: Incremental and Parallel Computation of Structural Graph Summaries for Evolving Graphs. CIKM 2020: 75-84"]}
DOI: 10.5066/p9mv3nz8
title: Suspended-sediment concentration and turbidity data for sites in the upper Esopus Creek watershed New York, 2016-19

description: The upper Esopus Creek is the primary tributary to the Ashokan Reservoir, part of the New York City (NYC) water supply system. Suspended-sediment concentration (ssc) and turbidity are primary water-quality concerns in the NYC water-supply system, particularly in the upper Esopus Creek watershed. In 2016 the NYC Department of Environmental Protection and U.S. Geological Survey entered into a collaborative agreement to conduct a comprehensive study of suspended sediment and turbidity in the upper Esopus Creek watershed. Objectives included ssc, streamflow, and turbidity monitoring, and development of turbidity-ssc regression equations to estimate ssc from continuous turbidity measurements. Cross-section and point suspended-sediment samples were collected at 14 monitoring sites in the upper Esopus Creek watershed through most of the range in streamflow and turbidity measured at the monitoring sites. Turbidity-ssc regression equations were developed for the monitoring sites for the period October 1, 2016 through September 30, 2019. This data release contains the data used to develop the turbidity-ssc regression equations and diagnostic plots for each monitoring location.
DOI: 10.15468/tnzeg7
title: Procyonidae

description: This dataset contains the digitized treatments in Plazi based on the original book chapter Don E. Wilson, Russell A. Mittermeier (2009): Procyonidae. In: Handbook of the Mammals of the World – Volume 1 Carnivores. Barcelona: Lynx Edicions: 504-530, DOI: http://doi.org/10.5281/zenodo.5714404
DOI: 10.5281/zenodo.5714035
title: Berlin Sparql Benchmark (BSBM): Evolving Graph Simulation

description: The Berlin SPARQL Benchmark (BSBM) is a suite of benchmarks built around an e-commerce use case [1]. We generated 21 versions of the dataset with different scale factors. The first dataset, with a scale factor of 100, contains about 7,000 vertices and 75,000 edges. We generated versions with scale factors between 2,000 and 40,000 in steps of 2,000. The largest dataset contains about 1.3 M vertices and 13 M edges. For our experiments in [2], we first use the different versions ordered from smallest to largest (version 0 to 20) to simulate a growing graph database. Subsequently, we reverse the order to emulate a shrinking graph database. Over all versions, the mean degree is 8.1 (+- 0.5), the mean in-degree is 4.6 (+- 0.3), and the mean out-degree is 9.8 (+- 0.2). 1. Christian Bizer, Andreas Schultz: The Berlin SPARQL Benchmark. Int. J. Semantic Web Inf. Syst. 5(2): 1-24 (2009) 2. Till Blume, David Richerby, Ansgar Scherp: Incremental and Parallel Computation of Structural Graph Summaries for Evolving Graphs. CIKM 2020: 75-84
description: {"references": ["Christian Bizer, Andreas Schultz: The Berlin SPARQL Benchmark. Int. J. Semantic Web Inf. Syst. 5(2): 1-24 (2009)", "Till Blume, David Richerby, Ansgar Scherp: Incremental and Parallel Computation of Structural Graph Summaries for Evolving Graphs. CIKM 2020: 75-84"]}
DOI: 10.5281/zenodo.5714034
title: Berlin Sparql Benchmark (BSBM): Evolving Graph Simulation

description: The Berlin SPARQL Benchmark (BSBM) is a suite of benchmarks built around an e-commerce use case [1]. We generated 21 versions of the dataset with different scale factors. The first dataset, with a scale factor of 100, contains about 7,000 vertices and 75,000 edges. We generated versions with scale factors between 2,000 and 40,000 in steps of 2,000. The largest dataset contains about 1.3 M vertices and 13 M edges. For our experiments in [2], we first use the different versions ordered from smallest to largest (version 0 to 20) to simulate a growing graph database. Subsequently, we reverse the order to emulate a shrinking graph database. Over all versions, the mean degree is 8.1 (+- 0.5), the mean in-degree is 4.6 (+- 0.3), and the mean out-degree is 9.8 (+- 0.2). 1. Christian Bizer, Andreas Schultz: The Berlin SPARQL Benchmark. Int. J. Semantic Web Inf. Syst. 5(2): 1-24 (2009) 2. Till Blume, David Richerby, Ansgar Scherp: Incremental and Parallel Computation of Structural Graph Summaries for Evolving Graphs. CIKM 2020: 75-84
description: {"references": ["Christian Bizer, Andreas Schultz: The Berlin SPARQL Benchmark. Int. J. Semantic Web Inf. Syst. 5(2): 1-24 (2009)", "Till Blume, David Richerby, Ansgar Scherp: Incremental and Parallel Computation of Structural Graph Summaries for Evolving Graphs. CIKM 2020: 75-84"]}