cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13910924.v1
title: Figure 2

description: Vorticity map<br>
DOI: 10.6084/m9.figshare.13911062.v1
title: Figure 11a

description: Great Red Spot simulation Shallow Water<br>
DOI: 10.6084/m9.figshare.13911062
title: Figure 11a

description: Great Red Spot simulation Shallow Water<br>
DOI: 10.6084/m9.figshare.13911140
title: Figure 11b

description: Jupiter Great Red Spot simulations EPIC<br>
DOI: 10.6084/m9.figshare.13911140.v1
title: Figure 11b

description: Jupiter Great Red Spot simulations EPIC<br>
DOI: 10.15468/jn7t74
title: Niuailan, a new genus to accommodate Carneoryctes peterseni (Endrődi, 1967) (Coleoptera: Scarabaeidae: Dynastinae: Pentodontini) from New Ireland, Papua New Guinea

description: This dataset contains the digitized treatments in Plazi based on the original journal article Allsopp, Peter G., Hutchinson, Paul M. (2020): Niuailan, a new genus to accommodate Carneoryctes peterseni (Endrődi, 1967) (Coleoptera: Scarabaeidae: Dynastinae: Pentodontini) from New Ireland, Papua New Guinea. Zootaxa 4860 (1): 135-145, DOI: https://doi.org/10.11646/zootaxa.4860.1.8
DOI: 10.13012/b2idb-0897344_v1
title: Microclimatic Temperature and Vegetation Structure in Great Smoky Mountains National Park

description: This dataset consists of microclimatic temperature and vegetation structure maps at a 3-meter spatial resolution across the Great Smoky Mountains National Park. Included are raster models for sub-canopy, near-surface, minimum and maximum temperature averaged across the study period, season, and month during the growing season months of March through November from 2006-2010. Also available are the topographic and vegetation inputs developed for the microclimate models, including LiDAR-derived vegetation height, LiDAR-derived vegetation structure within four height strata, solar insolation, distance-to-stream, and topographic convergence index (TCI).
DOI: 10.6084/m9.figshare.13739086.v2
title: Amazonian mammal monitoring using aquatic environmental DNA

description: Run 1<br>Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br><br>Run 2<br>Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br><br>Run 3<br>Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br><br>Run 4<br>Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br><br>Run 5<br>Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br><br>Run 6<br>Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br><br>Run 7<br>Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br><br>Run 8<br>Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br><br>Run 9<br>Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br><br>Run 10<br>Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br><br>Run 11<br>Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br><br>Run 12<br>Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br><br>Run 13<br>Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br><br>Site data<br>A table with 1)Site name, 2)Drainage basin, 3)Latitude, 4)Longitude, 5)Strahler order, 6)Watercourse type, 7)Sampling years, 9)PCR sample name for Replicate 1, 10)PCR sample name for Replicate 2<br>Sites_data.csv<br>MetadataA table with 1)Library name, 2)Drainage basin, 3)PCR sample name, 4)Tag, 5)Reverse primer, 6)Forward primer, 7)Run number <br>Metadata.csv<br>
DOI: 10.5281/zenodo.4534961
title: PULSE dataset

description: <strong>Motivation</strong> This dataset is derived and cleaned from the full PULSE project dataset to share with others data gathered about the users during the project. <strong>Disclaimer</strong> Any third party need to respect ethics rules and GDPR and must mention “PULSE DATA H2020 - 727816” in any dissemination activities related to data being exploited. Also, you should provide a link to the project associated website: http://www.project-pulse.eu/ The data provided in the files is provided as is. Despite our best efforts at filtering out potential issues, some information could be erroneous. <strong>Description of the dataset</strong> The only difference with the original dataset comes from anonymised user information. The dataset contains data related to different health risk models alongside citizen activity data collected with different sensors. The dataset content related to the health risk models is described in a dedicated JSON file: <em>PULSE_shared_data_definition_final.json</em> <em>environmental_monitoring_positions.csv</em> contains the key data about each measuring sensor device deployed by the PULSE project: its brand, model, and a time series of GPS positions (latitude & longitude) where each have been installed throughout the PULSE project (for most devices it is a single urban location where the device has been fixed from the start, but some devices have been mounted on several different locations over time). The <em>unique_device_id</em> is the key field relating the measured values from the <em>urban_environment_sensor_data_x.csv </em>files with the device information and locations in <em>environmental_monitoring_position.csv</em> file, as described in the updated <em>PULSE_shared_data_definition_final.json</em> JSON file.
description: Final version adding measured environmental data.
DOI: 10.5281/zenodo.3928561
title: PULSE dataset

description: <strong>Motivation</strong> This dataset is derived and cleaned from the full PULSE project dataset to share with others data gathered about the users during the project. <strong>Disclaimer</strong> Any third party need to respect ethics rules and GDPR and must mention “PULSE DATA H2020 - 727816” in any dissemination activities related to data being exploited. Also, you should provide a link to the project associated website: http://www.project-pulse.eu/ The data provided in the files is provided as is. Despite our best efforts at filtering out potential issues, some information could be erroneous. <strong>Description of the dataset</strong> The only difference with the original dataset comes from anonymised user information. The dataset contains data related to different health risk models alongside citizen activity data collected with different sensors. The dataset content related to the health risk models is described in a dedicated JSON file: <em>PULSE_shared_data_definition_final.json</em> <em>environmental_monitoring_positions.csv</em> contains the key data about each measuring sensor device deployed by the PULSE project: its brand, model, and a time series of GPS positions (latitude & longitude) where each have been installed throughout the PULSE project (for most devices it is a single urban location where the device has been fixed from the start, but some devices have been mounted on several different locations over time). The <em>unique_device_id</em> is the key field relating the measured values from the <em>urban_environment_sensor_data_x.csv </em>files with the device information and locations in <em>environmental_monitoring_position.csv</em> file, as described in the updated <em>PULSE_shared_data_definition_final.json</em> JSON file.
description: Final version adding measured environmental data.
DOI: 10.15468/gapsjg
title: The genus Anacroneuria Klapálek, 1909 (Plecoptera: Perlidae) from Maranhão State, northeastern Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Carvalho, André De Sousa, Almeida, Lucas Henrique De, Azevêdo, Carlos Augusto Silva De, Lima, Lucas Ramos Costa (2020): The genus Anacroneuria Klapálek, 1909 (Plecoptera: Perlidae) from Maranhão State, northeastern Brazil. Zootaxa 4860 (3): 435-444, DOI: https://doi.org/10.11646/zootaxa.4860.3.8
DOI: 10.5281/zenodo.4535243
title: Height growth paramters of Scots pine plantations in the north-west of Spain from plot measurements and stem analysis

description: Dataset of site index and other height growth parameters together with bioclimatic variables, extracted from the Worldclim 2 dataset, of Scots pine (Pinus sylvestris) plantations in the north-west of Spain. The dataset comprises two files: one includes plot measurements with site index estimations and the second includes height growth parameters estimated from stem analysis data, such as the mean growth in height or the height at the inflexion point of the Hossfeld growth curve.
DOI: 10.5281/zenodo.4535242
title: Height growth paramters of Scots pine plantations in the north-west of Spain from plot measurements and stem analysis

description: Dataset of site index and other height growth parameters together with bioclimatic variables, extracted from the Worldclim 2 dataset, of Scots pine (Pinus sylvestris) plantations in the north-west of Spain. The dataset comprises two files: one includes plot measurements with site index estimations and the second includes height growth parameters estimated from stem analysis data, such as the mean growth in height or the height at the inflexion point of the Hossfeld growth curve.
DOI: 10.15468/6ztzk2
title: Two new species of the Southeast Asian Dwarf tarantula genus Phlogiellus Pocock 1887 (Theraphosidae, Selenocosmiinae) and a discussion on the taxonomic problem of the genus

description: This dataset contains the digitized treatments in Plazi based on the original journal article Sivayyapram, Varat, Kunsete, Chawakorn, Songsangchote, Chaowalit, Thanoosing, Chawatat, Traiyasut, Prapun, Warrit, Natapot (2020): Two new species of the Southeast Asian Dwarf tarantula genus Phlogiellus Pocock 1887 (Theraphosidae, Selenocosmiinae) and a discussion on the taxonomic problem of the genus. Zootaxa 4859 (4): 487-506, DOI: https://doi.org/10.11646/zootaxa.4859.4.2
DOI: 10.6084/m9.figshare.13910588.v1
title: Dataset S1. Genomic windows identified as putative introgressed regions (pIRs) across nine trios.

description: Dataset S1. Genomic windows identified as putative introgressed regions (pIRs) across nine trios.
DOI: 10.6084/m9.figshare.13911185
title: Dataset S2. Gene functional annotation for the genome reference of Vitis arizonica.

description: Dataset S2. Gene functional annotation for the genome reference of <i>Vitis arizonica</i>.
DOI: 10.6084/m9.figshare.13911242
title: Dataset S3. Significant SNPs (Bonferroni adjusted p &lt; 0.05) from whole genome associations with bacterial levels after infection with the causative agent of Pierce’s Disease for four receptor species of introgression

description: Dataset S3. Significant SNPs (Bonferroni adjusted p &lt; 0.05) from whole genome associations with bacterial levels after infection with the causative agent of Pierce’s Disease for four receptor species of introgression
DOI: 10.6084/m9.figshare.13911242.v1
title: Dataset S3. Significant SNPs (Bonferroni adjusted p &lt; 0.05) from whole genome associations with bacterial levels after infection with the causative agent of Pierce’s Disease for four receptor species of introgression

description: Dataset S3. Significant SNPs (Bonferroni adjusted p &lt; 0.05) from whole genome associations with bacterial levels after infection with the causative agent of Pierce’s Disease for four receptor species of introgression
DOI: 10.6084/m9.figshare.13911398
title: Dataset S4. Significant SNPs (Bayes’ Factor &gt; 10) from whole genome associations with the top three bioclimatic variables per species.

description: Dataset S4. Significant SNPs (Bayes’ Factor &gt; 10) from whole genome associations with the top three bioclimatic variables per species.
DOI: 10.25398/rd.northumbria.13469925
title: Database of Results. V&A cast of the tombstone of the Presbyter Bruno (REPRO.1873-380)

description: Collection of results of analyses carried on the V&A cast of the tombstone of the Presbyter Bruno (REPRO.1873-380).Sampling, OM-BSE, Summary and Samples 1 to 13 (OM, SEM-EDS, XRD, FT-IR, GC/MS). Raw data available upon request.
DOI: 10.6084/m9.figshare.13910588
title: Dataset S1. Genomic windows identified as putative introgressed regions (pIRs) across nine trios.

description: Dataset S1. Genomic windows identified as putative introgressed regions (pIRs) across nine trios.
DOI: 10.6084/m9.figshare.13911185.v1
title: Dataset S2. Gene functional annotation for the genome reference of Vitis arizonica.

description: Dataset S2. Gene functional annotation for the genome reference of <i>Vitis arizonica</i>.
DOI: 10.25398/rd.northumbria.13469925.v3
title: Database of Results. V&A cast of the tombstone of the Presbyter Bruno (REPRO.1873-380)

description: Collection of results of analyses carried on the V&A cast of the tombstone of the Presbyter Bruno (REPRO.1873-380).Sampling, OM-BSE, Summary and Samples 1 to 13 (OM, SEM-EDS, XRD, FT-IR, GC/MS). Raw data available upon request.
DOI: 10.6084/m9.figshare.13911398.v1
title: Dataset S4. Significant SNPs (Bayes’ Factor &gt; 10) from whole genome associations with the top three bioclimatic variables per species.

description: Dataset S4. Significant SNPs (Bayes’ Factor &gt; 10) from whole genome associations with the top three bioclimatic variables per species.
DOI: 10.25398/rd.northumbria.13469925.v2
title: Database of Results.V&A cast of the tombstone of the Presbyter Bruno (REPRO.1873-380)

description: Collection of results of analyses carried on the V&A cast of the tombstone of the Presbyter Bruno (REPRO.1873-380).Sampling, OM-BSE, Summary and Samples 1 to 13 (OM, SEM-EDS, XRD, FT-IR, GC/MS). Raw data available upon request.
DOI: 10.6084/m9.figshare.12807728.v1
title: Designing Controller Parameters of an LPV System via Design Space Exploration

description: The method assumes an LPV system and presents an approach for its controller design.The details of data for Example 2 are presented here.
DOI: 10.6084/m9.figshare.12807728
title: Designing Controller Parameters of an LPV System via Design Space Exploration

description: The method assumes an LPV system and presents an approach for its controller design.The details of data for Example 2 are presented here.
DOI: 10.15468/5w2x59
title: Taxonomy of Anotylus nitidifrons group (Coleoptera: Staphylinidae: Oxytelinae) and five new species from China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wang, Lin-Fei, Zhou, Hong-Zhang (2020): Taxonomy of Anotylus nitidifrons group (Coleoptera: Staphylinidae: Oxytelinae) and five new species from China. Zootaxa 4861 (1): 23-42, DOI: https://doi.org/10.11646/zootaxa.4861.1.2
DOI: 10.18112/openneuro.ds003512.v1.0.0
title: Attended speaker paradigm (own name in ignored)
DOI: 10.6084/m9.figshare.13909202
title: Dataset.rarDivar car image classification

description: This project provide an image classification platform. dataset contains about 2000 car images in 6 classes.
DOI: 10.5523/bris.33zi7nudqqnlg2j5vyzflql8n6
title: Sri Lanka suicide counts and rates

description: The data deposit contains the suicide data between 1880 and 2015 which has been used in previous publications.
DOI: 10.6084/m9.figshare.13911755
title: data for "Climate change impacts on population growth across a species’ range differ due to nonlinear responses of populations to climate and variation in rates of climate change"

description: Data for "Climate change impacts on population growth across a species’ range differ due to nonlinear responses of populations to climate and variation in rates of climate change "
DOI: 10.15468/9v29j8
title: The open-holed trapdoor spiders (Mygalomorphae: Anamidae: Namea) of Australia’s D’Aguilar Range: revealing an unexpected subtropical hotspot of rainforest diversity

description: This dataset contains the digitized treatments in Plazi based on the original journal article Rix, Michael G., Wilson, Jeremy D., Harvey, Mark S. (2020): The open-holed trapdoor spiders (Mygalomorphae: Anamidae: Namea) of Australia’s D’Aguilar Range: revealing an unexpected subtropical hotspot of rainforest diversity. Zootaxa 4861 (1): 71-91, DOI: https://doi.org/10.11646/zootaxa.4861.1.5
DOI: 10.5281/zenodo.4506494
title: Computation of the electroencephalogram (EEG) from network models of point neurons

description: Datasets used in the paper "Computation of the electroencephalogram (EEG) from network models of point neurons" (2020), Biorxiv. doi: https://doi.org/10.1101/2020.11.02.364802. There are 4 folders: <strong>results</strong>: simulation outputs generated by the networks of leaky integrate-and-fire (LIF) and multicompartment neuron models. <strong>src</strong>: software scripts to compute the coefficient of determination, R^2, between the ground-truth EEG and the different EEG proxies evaluated in this work. <strong>Figs</strong>: scripts and additional data to plot figures. <strong>CNN</strong>: weights of the trained convolutional neural network (CNN)<em>.</em>
DOI: 10.5281/zenodo.4506493
title: Computation of the electroencephalogram (EEG) from network models of point neurons

description: Datasets used in the paper "Computation of the electroencephalogram (EEG) from network models of point neurons" (2020), Biorxiv. doi: https://doi.org/10.1101/2020.11.02.364802. There are 4 folders: <strong>results</strong>: simulation outputs generated by the networks of leaky integrate-and-fire (LIF) and multicompartment neuron models. <strong>src</strong>: software scripts to compute the coefficient of determination, R^2, between the ground-truth EEG and the different EEG proxies evaluated in this work. <strong>Figs</strong>: scripts and additional data to plot figures. <strong>CNN</strong>: weights of the trained convolutional neural network (CNN)<em>.</em>
DOI: 10.5287/bodleian:9rn6n6o15
title: Supporting Data - Visualising Plating-Induced Cracking in Lithium Anode Solid Electrolyte Cells
DOI: 10.25403/upresearchdata.13911146
title: Portfolio of evidence for consulting project

description: Researcher was doing Consulting Project. It contained 3 deliverables namely1. Consulting Business Plan2. Development of Consulting Toolkits; and3. Consulting Project with a specific company<br>I collected data for the consulting project through interviews, and company documents. I also did desktop research and analysed industry reports.
DOI: 10.15468/vj5p7j
title: First description of immature stages of the antlion Bullanga florida (Navás, 1913) (Neuroptera, Myrmeleontidae, Dendroleontini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zheng, Yuchen, Liu, Xingyue (2020): First description of immature stages of the antlion Bullanga florida (Navás, 1913) (Neuroptera, Myrmeleontidae, Dendroleontini). Zootaxa 4858 (3): 394-404, DOI: https://doi.org/10.11646/zootaxa.4858.3.5
DOI: 10.15468/6pfhkc
title: Contributions to Disholcaspis Dalla Torre And Kieffer (Hymenoptera: Cynipidae: Cynipini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Cooke-Mcewen, Crystal, Gates, Michael (2020): Contributions to Disholcaspis Dalla Torre And Kieffer (Hymenoptera: Cynipidae: Cynipini). Zootaxa 4859 (3): 355-382, DOI: https://doi.org/10.11646/zootaxa.4859.3.3
DOI: 10.15468/mnupun
title: A review of the family Alycidae (Acari, Acariformes) from South Africa

description: This dataset contains the digitized treatments in Plazi based on the original journal article Uusitalo, Matti, Ueckermann, Edward A., Theron, Pieter D. (2020): A review of the family Alycidae (Acari, Acariformes) from South Africa. Zootaxa 4858 (3): 301-340, DOI: https://doi.org/10.11646/zootaxa.4858.3.1
DOI: 10.34740/kaggle/dsv/1932543
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.15468/2842ky
title: A new species of Trachylepis (Squamata: Scincidae) from the Amhara Region Ethiopia, and a key to the Ethiopian Trachylepis

description: This dataset contains the digitized treatments in Plazi based on the original journal article Koppetsch, Thore (2020): A new species of Trachylepis (Squamata: Scincidae) from the Amhara Region Ethiopia, and a key to the Ethiopian Trachylepis. Zootaxa 4859 (1): 113-126, DOI: https://doi.org/10.11646/zootaxa.4859.1.4
DOI: 10.7277/hfyd-sm88
title: Damage Detection of Reinforced Concrete Columns Subjected to Combined Actions (NEES-2010-0882)

description: &lt;p&gt;&lt;strong&gt;Title&lt;/strong&gt;: Damage Detection of Reinforced Concrete Columns Subjected to Combined Actions (NEES-2012-0882)&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Year Of Curation: &lt;/strong&gt;2012&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Description: &lt;/strong&gt;The intent of this research project is to further explore the knowledge of smart aggregates developed at UH at the practical level so that they can be widely implemented in the industrial application.A smart aggregate consists of a water-proof coated piezoceramic patch encased in a small protective cube of concrete. The piezoceramic-based smart aggregates are multi-functional and they can be used to perform early-age concrete strength monitoring, impact detection and structural health monitoring. The effectiveness of the smart aggregate-based damage detection approach was verified by preliminary experiments performed at UH. However, these experiments were performed under static load conditions only. To further validate the effectiveness of smart aggregates for structural health monitoring, it is important to perform experiments under different load conditions, such as dynamic, pseudo-dynamic, and reversed-cyclic loadings. These tests were scheduled to be conducted at the University of Nevada, Reno (UNR), the University of Illinois at Urbana-Champaign (UIUC) and Missouri University of Science and Technology, Rolla (MST). &lt;/p&gt; &lt;p&gt;&lt;strong&gt;Award: &lt;/strong&gt;http://www.nsf.gov/awardsearch/showAward?AWD_ID=0724190&lt;/p&gt; &lt;p&gt;&lt;strong&gt;PIs &amp; CoPIs: &lt;/strong&gt;Yi-Lung Mo, Gangbing Song&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Dates: &lt;/strong&gt;May 09, 2008 - September 30, 2012&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Organizations: &lt;/strong&gt;&lt;br /&gt; Missouri University of Science and Technology, Rolla, MO, United States,&lt;br /&gt; University of Houston, TX, United States,&lt;br /&gt; University of Nevada-Las Vegas, NV, United States,&lt;br /&gt; University of Nevada-Reno, NV, United States&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Facilities: &lt;/strong&gt;&lt;br /&gt; Missouri University of Science and Technology, Rolla, MO, United States,&lt;br /&gt; University of Illinois at Urbana-Champaign, IL,&lt;br /&gt; United States,University of Nevada-Reno, NV, United States&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Sponsor: &lt;/strong&gt;NSF - 0724190 &lt;/p&gt; &lt;p&gt;&lt;strong&gt;Keywords: &lt;/strong&gt;smart aggregate,structural health monitoring,Reinforced Concrete,piezoceramics&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Publications: &lt;/strong&gt;&lt;br /&gt; Gangbing Song, &quot;Smart Aggregate-Based Damage Detection of Circular RC Columns under Cyclic Combined Loading&quot;&lt;br /&gt; Gangbing Song, &quot;Damage Detection of Reinforced Concrete Columns Subjected to Combined Actions - Annual Report 2011&quot;&lt;br /&gt; Gangbing Song, &quot;Smart aggregate-based damage detection of RC columns under cyclic combined loading&quot;&lt;/p&gt; &lt;nb:citations&gt;&lt;/nb:citations&gt;
DOI: 10.15468/sfdhyv
title: Feather mites of the genus Trouessartia (Acariformes: Trouessartiidae) from passerines (Aves: Passeriformes) in Georgia, USA

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mironov, Sergey V., Chandler, C. Ray (2020): Feather mites of the genus Trouessartia (Acariformes: Trouessartiidae) from passerines (Aves: Passeriformes) in Georgia, USA. Zootaxa 4860 (1): 1-54, DOI: https://doi.org/10.11646/zootaxa.4860.1.1
DOI: 10.5517/ccdc.csd.cc1p9z65
title: CCDC 1558717: Experimental Crystal Structure Determination

description: Related Article: Antonio de Brito Santiago Neto, Márcia Gabriely Alves da Cruz, Erwann Jeanneau, Alcineia Conceição Oliveira, Nadine Essayem, Shashank Mishra|2021|Dalton Trans.|50|1604|doi:10.1039/D0DT03726E