cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-853643
title: Carstairs deprivation index for Sheffield output areas 2011
DOI: 10.5281/zenodo.3367493
title: Lista de Atributos Coletados das Bases de Dados - Dissertação de Mestrado

description: Lista de atributos coletas em 4 bases de dados diferentes no IFRO campus Ji-Paraná na construção de base de dados unificada para o processo de mineração de dados para combate a evasão. Dissertação finalizada está disponível em Repositório de Dissertação do ISCAP Portugal no link: https://recipp.ipp.pt/handle/10400.22/14490
DOI: 10.5281/zenodo.3367494
title: Lista de Atributos Coletados das Bases de Dados - Dissertação de Mestrado

description: Lista de atributos coletas em 4 bases de dados diferentes no IFRO campus Ji-Paraná na construção de base de dados unificada para o processo de mineração de dados para combate a evasão. Dissertação finalizada está disponível em Repositório de Dissertação do ISCAP Portugal no link: https://recipp.ipp.pt/handle/10400.22/14490
DOI: 10.17632/b4fkjm7wdc.1
title: Data for: Fuzzy control system for three-dimensional towing trajectory of trawl gear
DOI: 10.7910/dvn/uqszdy/firnqn
title: analysis.R

description: R code for main text analysis
DOI: 10.21227/ty4s-yg33
title: The USyd Campus Dataset

description: Vision and lidar are complementary sensors that are incorporated into many applications of intelligent transportation systems. These sensors have been used to great effect in research related to perception, navigation and deep-learning applications. Despite this success, the validation of algorithm robustness has recently been recognised as a major challenge for the massive deployment of these new technologies. It is well known that algorithms and models trained or tested with a particular dataset tend not to generalise well for other scenarios. For certain applications, autonomous vehicles in particular, algorithm failures can lead to potentially catastrophic consequences. To minimise this risk, it is essential to evaluate the robustness and reliability of algorithms before deploying them in real life applications. This paper presents a long-term, large-scale dataset collected over the period of 1.5 years on a weekly basis over the University of Sydney campus and surrounds. The USyd Campus Dataset has been designed to aid in the development, validation and testing of algorithm robustness under a wide variety of conditions. It includes multiple sensor modalities and covers various environmental conditions as well as diverse changes to illumination, scene structure, and pedestrian/vehicle traffic volumes. The dataset also includes a semantic segmentation dataset with different illumination conditions and camera perspectives, and a ‘Road’ class image dataset which is automatically generated using lidar. To facilitate the dataset use by researchers and practitioners, we also provide a set of development tools for the analysis and visualisation of the dataset.
DOI: 10.21942/uva.9587144
title: I.Lock_DATASET_Organizational Propaganda_Systematic Review_PRI

description: Data set of the systematic review indicated in the collection and published under the title "Organizational Propaganda on the Internet: A Systematic Review" in <i>Public Relations Inquiry</i>.Contains all codes per article in the sample and comments per article. Coding sheet is part of the collection.
DOI: 10.21942/uva.9587144.v1
title: I.Lock_DATASET_Organizational Propaganda_Systematic Review_PRI

description: Data set of the systematic review indicated in the collection and published under the title "Organizational Propaganda on the Internet: A Systematic Review" in <i>Public Relations Inquiry</i>.Contains all codes per article in the sample and comments per article. Coding sheet is part of the collection.
DOI: 10.7910/dvn/uqszdy/7ujgqt
title: analysislog.txt

description: Log file for main text analysis
DOI: 10.7910/dvn/uqszdy/amyz8j
title: codebook.pdf

description: Codebook for both datasets
DOI: 10.7910/dvn/uqszdy/cnpq2z
title: study1.tab

description: Dataset for Study 1
DOI: 10.7910/dvn/uqszdy/ftzhxx
title: readme.txt

description: README file
DOI: 10.7910/dvn/uqszdy/mwaldz
title: study2.tab

description: Dataset for Study 2
DOI: 10.7910/dvn/uqszdy/yqrbkj
title: si.R

description: R code for supplementary information analysis
DOI: 10.7910/dvn/uqszdy/z0z1ky
title: silog.txt

description: Log file for supplementary information analysis
DOI: 10.15468/rz0chd
title: Two echinoid species from the early Aptian (Early Cretaceous) of the Kopet-Dagh Basin, NE Iran

description: This dataset contains the digitized treatments in Plazi based on the original journal article Schlüter, Nils, Taherpour-Khalil-Abad, Morteza, Majidifard, Mahmoudreza, Hassanzadeh, Zinat, Taheri, Jafar (2019): Two echinoid species from the early Aptian (Early Cretaceous) of the Kopet-Dagh Basin, NE Iran. Zootaxa 4656 (1): 121-132, DOI: https://doi.org/10.11646/zootaxa.4656.1.5
DOI: 10.20348/storedb/1153/1214
title: CREB signaling mediates dose-dependent radiation response in the murine hippocampus two years after low-dose total body exposure
title: Lists of all identified proteins of the 4, 12 and 18 months timepoint

description: The impact of low-dose ionizing radiation (IR) on human brain has recently attracted attention due to increased use of IR for diagnostic purposes. The aim of this study was to investigate low-dose radiation response in hippocampus. Female C57Bl/6 mice were irradiated with 0, 0.063, 0.125 or 0.5 Gy and quantitative label-free proteomic analysis of hippocampus was performed after 24 months. Key pathways were validated by immunoblotting. CREB signaling and CREB-associated pathways were the most affected ones at all doses. The two lower doses seemed to induce CREB pathway, whereas the exposure to 0.5 Gy deactivated CREB. Similarly, the lowest dose (0.063 Gy) was anti-inflammatory reducing the number of activated microglia (IBA-1), whilst induction of activated microglia and reactive astroglia (GFAP) was found at 0.5 Gy suggesting increased inflammation and astrogliosis, respectively. Apoptotic markers BAX and cleaved CASP-3 and oxidative stress markers (carbonylation, NRF-2) were increased only at the highest dose. Since activated CREB pathway plays a central role in learning and memory, these data suggest neuroprotection at the lowest dose (0.063 Gy) but neurodegeneration at 0.5 Gy. These effects become significant only in old animals (24 m) and support the hypothesis of radiation-induced accelerated aging in the brain.
description: null
DOI: 10.15468/pkab8y
title: A new species of the Spinomantis bertini species complex (Anura: Mantellidae) from Pic d’Ivohibe Special Reserve (Madagascar)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Sabino-Pinto, Joana, Rakotoarison, Andolalao, Bletz, Molly C., Edmonds, Devin, Glaw, Frank, Vences, Miguel (2019): A new species of the Spinomantis bertini species complex (Anura: Mantellidae) from Pic d’Ivohibe Special Reserve (Madagascar). Zootaxa 4656 (1): 133-142, DOI: https://doi.org/10.11646/zootaxa.4656.1.6
DOI: 10.15468/k6natj
title: New species of the tribe Trechini from China (Coleoptera: Carabidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Belousov, Igor A., Kabak, Ilya I., Liang, Hongbin (2019): New species of the tribe Trechini from China (Coleoptera: Carabidae). Zootaxa 4656 (1): 143-152, DOI: https://doi.org/10.11646/zootaxa.4656.1.7
DOI: 10.17632/g42gt8925t.1
title: Data for: A Multi-Criteria Decision Support Tool for Biorefinery Siting: Using Economic, Environmental, and Social metrics for a Refined Siting Analysis

description: This spreadsheet provides the individual datasets used to develop the economic, environmental, and social siting criteria used in the MCDA decision support tool. In some cases, only the output of models used to develop the datasets is provided. Tab 1 provides sample output from the Total Transportation Cost Model to show how the individual biomass source points are routed to a given pulp mill, and the transportation and environmental costs are used to develop the feedstock, environmental, and # of jobs created siting criteria.
DOI: 10.17632/z36mjhkr5n.1
title: Data for: Building materials obtained by recycling coal ash and waste drilling fluid and assessment of mechanical properties by means of Artificial Neural Networks

description: Input and output data
DOI: 10.7910/dvn/7o34hi/osspvf
title: Chapple, RM 2018 Catalogue of radiocarbon determinations & dendrochronology dates (August 2019 Release).tab

description: :unav
DOI: 10.15468/tyecjb
title: Aphis (Hemiptera, Aphididae) species living on Baccharis (Asteraceae) in southern South America, with description of three new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Nafría, Juan Manuel Nieto, Ortego, Jaime, Brown, Paul A., López Ciruelos, Sara I., Durante, M. Pilar Mier (2019): Aphis (Hemiptera, Aphididae) species living on Baccharis (Asteraceae) in southern South America, with description of three new species. Zootaxa 4656 (1): 153-167, DOI: https://doi.org/10.11646/zootaxa.4656.1.8
DOI: 10.21227/t5nr-7230
title: The USyd Campus Dataset

description: Vision and lidar are complementary sensors that are incorporated into many applications of intelligent transportation systems. These sensors have been used to great effect in research related to perception, navigation and deep-learning applications. Despite this success, the validation of algorithm robustness has recently been recognised as a major challenge for the massive deployment of these new technologies. It is well known that algorithms and models trained or tested with a particular dataset tend not to generalise well for other scenarios. For certain applications, autonomous vehicles in particular, algorithm failures can lead to potentially catastrophic consequences. To minimise this risk, it is essential to evaluate the robustness and reliability of algorithms before deploying them in real life applications. This paper presents a long-term, large-scale dataset collected over the period of 1.5 years on a weekly basis over the University of Sydney campus and surrounds. The USyd Campus Dataset has been designed to aid in the development, validation and testing of algorithm robustness under a wide variety of conditions. It includes multiple sensor modalities and covers various environmental conditions as well as diverse changes to illumination, scene structure, and pedestrian/vehicle traffic volumes. The dataset also includes a semantic segmentation dataset with different illumination conditions and camera perspectives, and a ‘Road’ class image dataset which is automatically generated using lidar. To facilitate the dataset use by researchers and practitioners, we also provide a set of development tools for the analysis and visualisation of the dataset.
DOI: 10.5061/dryad.3q27084/1
title: Dryad Item 10.5061/DRYAD.3Q27084/1

description: (:tba)
DOI: 10.5519/qd.wn7u9j50
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5061/dryad.4j75656/1
title: Dryad Item 10.5061/DRYAD.4J75656/1

description: (:tba)
DOI: 10.5281/zenodo.3367397
title: Charles Anderson Bridge Underside EastSide, July 15, 2019

description: Pointcloud of Charles Anderson Bridge Underside EastSide, July 15, 2019
DOI: 10.5281/zenodo.3367398
title: Charles Anderson Bridge Underside EastSide, July 15, 2019

description: Pointcloud of Charles Anderson Bridge Underside EastSide, July 15, 2019
DOI: 10.15468/vco7kj
title: Iberolygus n. gen., from the Iberian Peninsula (Hemiptera: Cimicomorpha: Miridae: Mirinae), with a new generic combination for Apolygus rubrostriatus (Wagner, 1971)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kim, Junggon, Goula, Marta, Roca-Cusachs, Marcos, Lim, Jongok, Kim, Il-Kwon, Jung, Sunghoon (2019): Iberolygus n. gen., from the Iberian Peninsula (Hemiptera: Cimicomorpha: Miridae: Mirinae), with a new generic combination for Apolygus rubrostriatus (Wagner, 1971). Zootaxa 4656 (1): 168-176, DOI: https://doi.org/10.11646/zootaxa.4656.1.9
DOI: 10.25919/5d5317a269571
title: Parkes observations for project P958 semester 2019APRS_67

description: Fast radio bursts (FRBs) continue to raise more questions than they answer. Until a few months ago, only one burst – the only one known to repeat - had been localized to a bright radio nebula (either a young supernova remnant or pulsar wind nebulae) in a distant dwarf galaxy. Over the last year searches with the Australian Square Kilometre Array Pathfinder (ASKAP) have detected 28 bursts, two of which have been localised to host galaxies at redshifts &gt; 0.3. These bursts and their hosts are very unlike the repeater, suggesting there may be a dichotomy in the population. Over the next six months we expect to detect another 12 FRBs, which will also have sub-arcsecond localisations. Here we propose to search this population for repeats. Our comprehensive sample and a dense monitoring campaign of well localised bursts, at a fluence limit more than 60 times lower than that of their detections, will either confirm the presence of additional repeating FRBs or the uniqueness of FRB 121102 amongst the population.
DOI: 10.5281/zenodo.3361875
title: Polymerase Structure Alignments (v2) - Initial Public Release

description: This is the initial release of superimposed viral polymerase structures using the methodology described in <br> <em>A Comprehensive Superposition of Viral Polymerase Structures</em> by Olve Peersen, Viruses 2019 11(8) 745. • The file _All_PDBs_v2.zip contains a single directory with coordinate files for 646 structures taken from 414 PDB entries. • The file Polymerases_v2.zip contains the complete set of files from the superposition, <em>including the _All_PDBs/ directory.</em>
description: Supported by National Institutes of Health (US) grant R01 AI059130 to O.P.
description: {"references": ["Peersen OB, A Comprehensive Superposition of Viral Polymerase Structures, Viruses 2019 11(8) 745."]}
DOI: 10.17632/8mkkd54xf2.1
title: Data for: High-Strength Bar Reinforced Concrete Walls: Cyclic Loading Test and Strength Prediction
DOI: 10.5281/zenodo.3367092
title: BCdatabaser - coi.hypogastruridae.none.2019-08-13.zip

description: Parameters: --marker-search-string COI OR CO1 OR 'Cytochrome oxidase 1' OR 'Cytochrome oxidase I' --taxonomic-range Hypogastruridae --sequence-length-filter 100:2000 --sequences-per-taxon 9
description: This dataset was automatically created with data from NCBI using the BCdatabaser tool
description: {"references": ["Keller et al. (2019) BCdatabaser: on-the-fly reference database creation for (meta-)barcoding. EcoEvoRxiv (2019); https://doi.org/10.32942/osf.io/cmfu2 - https://github.com/molbiodiv/bcdatabaser", "eutils: Sayers E. E-utilities Quick Start. 2008 Dec 12 [Updated 2018 Oct 24]. In: Entrez Programming Utilities Help [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2010-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK25500/", "NCBI::Taxonomy: F\u00f6rster et al. https://github.com/greatfireball/NCBI-Taxonomy - F\u00f6rster F. greatfireball/NCBI-Taxonomy v0.90. Zenodo. 2018 Oct 15; https://doi.org/10.5281/zenodo.1462861", "SeqFilter: Hackl et al. https://github.com/BioInf-Wuerzburg/SeqFilter", "dispr: Cofield et al. https://github.com/douglasgscofield/dispr", "Krona: Ondov BD, Bergman NH, and Phillippy AM. Interactive metagenomic visualization in a Web browser. BMC Bioinformatics. 2011 Sep 30; 12(1):385."]}
DOI: 10.5281/zenodo.3367093
title: BCdatabaser - coi.hypogastruridae.none.2019-08-13.zip

description: Parameters: --marker-search-string COI OR CO1 OR 'Cytochrome oxidase 1' OR 'Cytochrome oxidase I' --taxonomic-range Hypogastruridae --sequence-length-filter 100:2000 --sequences-per-taxon 9
description: This dataset was automatically created with data from NCBI using the BCdatabaser tool
description: {"references": ["Keller et al. (2019) BCdatabaser: on-the-fly reference database creation for (meta-)barcoding. EcoEvoRxiv (2019); https://doi.org/10.32942/osf.io/cmfu2 - https://github.com/molbiodiv/bcdatabaser", "eutils: Sayers E. E-utilities Quick Start. 2008 Dec 12 [Updated 2018 Oct 24]. In: Entrez Programming Utilities Help [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2010-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK25500/", "NCBI::Taxonomy: F\u00f6rster et al. https://github.com/greatfireball/NCBI-Taxonomy - F\u00f6rster F. greatfireball/NCBI-Taxonomy v0.90. Zenodo. 2018 Oct 15; https://doi.org/10.5281/zenodo.1462861", "SeqFilter: Hackl et al. https://github.com/BioInf-Wuerzburg/SeqFilter", "dispr: Cofield et al. https://github.com/douglasgscofield/dispr", "Krona: Ondov BD, Bergman NH, and Phillippy AM. Interactive metagenomic visualization in a Web browser. BMC Bioinformatics. 2011 Sep 30; 12(1):385."]}
DOI: 10.17632/w8xv8y5f6s.1
title: Data for: Late Miocene provenance evolution at the head of Central Canyon in the Qiongdongnan Basin, northern South China Sea

description: The U-Pb geochronology of detrital zircon from the head of Central Canyon in the Qiongdongnan Basin during the late Miocene
DOI: 10.17632/mfsy34nx7v.1
title: Data for: High speed shearing of soybean flour suspension disintegrates the component cell layers and modifies the hydration properties of okara fibers

description: This data cover the X-ray diffraction patterns of okara fibers isolated from soybean flour suspension that have been treated with high speed shearing process.
DOI: 10.21227/yxx8-nx57
title: The USyd Campus Dataset

description: Vision and lidar are complementary sensors that are incorporated into many applications of intelligent transportation systems. These sensors have been used to great effect in research related to perception, navigation and deep-learning applications. Despite this success, the validation of algorithm robustness has recently been recognised as a major challenge for the massive deployment of these new technologies. It is well known that algorithms and models trained or tested with a particular dataset tend not to generalise well for other scenarios. For certain applications, autonomous vehicles in particular, algorithm failures can lead to potentially catastrophic consequences. To minimise this risk, it is essential to evaluate the robustness and reliability of algorithms before deploying them in real life applications. This paper presents a long-term, large-scale dataset collected over the period of 1.5 years on a weekly basis over the University of Sydney campus and surrounds. The USyd Campus Dataset has been designed to aid in the development, validation and testing of algorithm robustness under a wide variety of conditions. It includes multiple sensor modalities and covers various environmental conditions as well as diverse changes to illumination, scene structure, and pedestrian/vehicle traffic volumes. The dataset also includes a semantic segmentation dataset with different illumination conditions and camera perspectives, and a ‘Road’ class image dataset which is automatically generated using lidar. To facilitate the dataset use by researchers and practitioners, we also provide a set of development tools for the analysis and visualisation of the dataset.
DOI: 10.5066/p9q2bp9p
title: U and Th isotope data for "Establishing chronologies for alluvial-fan sequences with analysis of high-resolution topographic data: San Luis Valley, Colorado, USA"

description: This dataset includes tables of U- and Th-isotopic data used to calculate uranium-series age estimates (230Th/U method) and initial 234U/238U activity ratios for samples of pedogenic carbonate formed in soils on alluvial fans in the San Luis Valley, Colorado, USA.
DOI: 10.5281/zenodo.3367406
title: CrIS North America NH3 Retrievals

description: CrIS North America NH3 Retrievals
DOI: 10.25952/5d523aaaf02d2
title: The anatomy of a crushing bite: the specialised cranial mechanics of a giant extinct kangaroo

description: This dataset contains STL files of Simosthenurus occidentalis and Phascolarctos cinereus crania and mandibles for 3D modelling. The related publication, published earlier this year (10.1017/pab.2018.46), examines the skulls of twelve species, including the two species included in this dataset. The models for these same two species in the related study were generated from these same files, but for entirely different hypotheses and tests.
description: The Sthenurinae were a diverse subfamily of short-faced kangaroos that arose in the Miocene and diversified during the Pliocene and Pleistocene. Many species possessed skull morphologies that were relatively structurally reinforced with bone, suggesting that they were adapted to incorporate particularly resistant foods into their diets. However, the functional roles of many unique, robust features of the sthenurine cranium are not yet clearly defined. Here, the finite element method is applied to conduct a comprehensive analysis of unilateral biting along the cheek tooth battery of a well-represented sthenurine, Simosthenurus occidentalis. The results are compared with those of an extant species considered to be of most similar ecology and cranial proportions to this species, the koala (Phascolarctos cinereus). The simulations reveal that the cranium of S. occidentalis could produce and withstand comparatively high forces during unilateral biting. Its greatly expanded zygomatic arches potentially housed enlarged zygomaticomandibularis muscles, shown here to reduce the risk of dislocation of the temporomandibular joint during biting with the rear of a broad, extensive cheek tooth row. This may also be a function of the zygomaticomandibularis in the giant panda (Ailuropoda melanoleuca), another species known to exhibit an enlarged zygomatic arch and hypertrophy of this muscle. Furthermore, the expanded frontal plates of the S. occidentalis cranium form broad arches of bone with the braincase and deepened maxillae that each extend from the anterior tooth rows to their opposing jaw joints. These arches are demonstrated here to be a key feature in resisting high torsional forces during unilateral premolar biting on large, resistant food items. This supports the notion that S. occidentalis fed thick, lignified vegetation directly to the cheek teeth in a similar manner to that described for the giant panda when crushing mature bamboo culms.
DOI: 10.5281/zenodo.3367103
title: BCdatabaser - coi.entomobryidae.none.2019-08-13.zip

description: Parameters: --marker-search-string COI OR CO1 OR 'Cytochrome oxidase 1' OR 'Cytochrome oxidase I' --taxonomic-range Entomobryidae --sequence-length-filter 100:2000 --sequences-per-taxon 9
description: This dataset was automatically created with data from NCBI using the BCdatabaser tool
description: {"references": ["Keller et al. (2019) BCdatabaser: on-the-fly reference database creation for (meta-)barcoding. EcoEvoRxiv (2019); https://doi.org/10.32942/osf.io/cmfu2 - https://github.com/molbiodiv/bcdatabaser", "eutils: Sayers E. E-utilities Quick Start. 2008 Dec 12 [Updated 2018 Oct 24]. In: Entrez Programming Utilities Help [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2010-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK25500/", "NCBI::Taxonomy: F\u00f6rster et al. https://github.com/greatfireball/NCBI-Taxonomy - F\u00f6rster F. greatfireball/NCBI-Taxonomy v0.90. Zenodo. 2018 Oct 15; https://doi.org/10.5281/zenodo.1462861", "SeqFilter: Hackl et al. https://github.com/BioInf-Wuerzburg/SeqFilter", "dispr: Cofield et al. https://github.com/douglasgscofield/dispr", "Krona: Ondov BD, Bergman NH, and Phillippy AM. Interactive metagenomic visualization in a Web browser. BMC Bioinformatics. 2011 Sep 30; 12(1):385."]}