cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3337633
title: BCdatabaser - 18s.leishmaniinae.none.2019-07-16.zip

description: Parameters: --marker-search-string 18S --taxonomic-range Leishmaniinae --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.3337634
title: BCdatabaser - 18s.leishmaniinae.none.2019-07-16.zip

description: Parameters: --marker-search-string 18S --taxonomic-range Leishmaniinae --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: 10.17632/6swx3btxhz.1
title: Data for: The Impacts of Economic Sanctions on Exchange Rate Volatility

description: Economic Sanctions and Exchange Rate Volatility
DOI: 10.18112/openneuro.ds001883.v1.0.2
title: Social Decision-Making Risky Choice Task Dataset
DOI: 10.5281/zenodo.3337891
title: Online Appendix - Scented Since the Beginning: On the Diffuseness of Test Smells in Automatically Generated Test Code

description: Online appendix for the paper "Scented Since the Beginning: On the Diffuseness of Test Smells in Automatically Generated Test Code". The full description of the content of this appendix can be found in the README file.
DOI: 10.5281/zenodo.3337892
title: Online Appendix - Scented Since the Beginning: On the Diffuseness of Test Smells in Automatically Generated Test Code

description: Online appendix for the paper "Scented Since the Beginning: On the Diffuseness of Test Smells in Automatically Generated Test Code". The full description of the content of this appendix can be found in the README file.
DOI: 10.5281/zenodo.3338340
title: Excel mapping tool for 2019 avian influenza data reporting

description: Data collection is an important task of the European Food Safety Authority (EFSA) and a fundamental component of risk assessment (Articles 22 and 23 of Regulation (EC) No 178/2002). EFSA receives a large volume of data from Member States (MSs) that is used in support of its risk assessment mission. Council Directive 2005/94/EC and Commission Decision 2010/367/EU lay down the guidelines for monitoring and reporting avian influenza surveillance data on poultry and wild birds by European Union (EU) MSs. EFSA has been assigned the task of collating, validating, analysing, and summarising in an annual report the results from the avian influenza surveillance programmes in poultry and wild birds. For the reporting of data, EFSA provides a Data Collection Framework that allows data providers to submit data in eXtensible Markup Language (XML) format through a web interface or a web service. Here, a data model describing the format, and the content requested when submitting data through the DCF, is provided. The data model supports the reporting of laboratory testing results for avian influenza in both wild birds, and poultry. The use of this reporting standard ensures that reported results are comparable between reporting countries. Data reported in this format will be used to generate epidemiological updates on the avian influenza surveillance testing carry out in Europe, and to provide scientific advice to the European Commission.
description: EU; XLS; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.3338347
title: Regensdorf-Geissberg/Gubrist - Schichtgenese und Landschaftsgeschichte – die geoarchäologischen Untersuchungen: Anhänge

description: Anhänge zu: <strong>David Brönnimann 2019, Schichtgenese und Landschaftsgeschichte – die geoarchäologischen Untersuchungen</strong> In: Beat Horisberger 2019, Keltische und römische Eliten im zürcherischen Furttal. Gräber, Strassen und Siedlungen von der Frühbronzezeit bis in die Neuzeit: Ergebnisse der Rettungsgrabungen 2009–2014 in Regensdorf-Geissberg/Gubrist. Monographien der Kantonsarchäologie Zürich 53 (2019) <strong>Inhalt Anhänge:</strong> <strong>G1:</strong> Factsheet mikromorphologische Untersuchung Profil P214 (M1-M5) <strong>G2:</strong> Factsheet mikromorphologische Untersuchung Profil P207 (M6-M7) <strong>G3:</strong> Factsheet mikromorphologische Untersuchung Profil P263 (M11-M12 und M14-M15) <strong>G4:</strong> Factsheet mikromorphologische Untersuchung Profil P348 (M21-M24) <strong>G5:</strong> Factsheet mikromorphologische Untersuchung Profil P507 (M31-M32) <strong>G6:</strong> Daten mikromorphologische Analyse (Datenbank)
DOI: 10.5281/zenodo.3338348
title: Regensdorf-Geissberg/Gubrist - Schichtgenese und Landschaftsgeschichte – die geoarchäologischen Untersuchungen: Anhänge

description: Anhänge zu: <strong>David Brönnimann 2019, Schichtgenese und Landschaftsgeschichte – die geoarchäologischen Untersuchungen</strong> In: Beat Horisberger 2019, Keltische und römische Eliten im zürcherischen Furttal. Gräber, Strassen und Siedlungen von der Frühbronzezeit bis in die Neuzeit: Ergebnisse der Rettungsgrabungen 2009–2014 in Regensdorf-Geissberg/Gubrist. Monographien der Kantonsarchäologie Zürich 53 (2019) <strong>Inhalt Anhänge:</strong> <strong>G1:</strong> Factsheet mikromorphologische Untersuchung Profil P214 (M1-M5) <strong>G2:</strong> Factsheet mikromorphologische Untersuchung Profil P207 (M6-M7) <strong>G3:</strong> Factsheet mikromorphologische Untersuchung Profil P263 (M11-M12 und M14-M15) <strong>G4:</strong> Factsheet mikromorphologische Untersuchung Profil P348 (M21-M24) <strong>G5:</strong> Factsheet mikromorphologische Untersuchung Profil P507 (M31-M32) <strong>G6:</strong> Daten mikromorphologische Analyse (Datenbank)
DOI: 10.6073/pasta/c7b0425dd4599a9acefde7fb0626af94
title: Coweeta hillslope soil model drainage experiments 2016-17

description: This data file has Time (days) and Outflow (liters/day) for all iterations of the drainage experiments (i.e., original circa 1963, experiment replicates circa 2016-2017, and HYDRUS model simulations circa 2016) performed on the experimental hillslope soil model described in Hewlett and Hibbert (1963) at Coweeta Hydrologic Laboratory.
DOI: 10.17632/fz2tjzkwmx.4
title: Data for: Sharing Information Online Rationally: An Observation of User Privacy Concerns and Awareness using Serious game

description: User Privacy Concerns extracted from various studies to get indepth idea and further use that knowledge to design and develop an awareness game.
DOI: 10.5061/dryad.7k83g2g/2
title: Dryad Item 10.5061/DRYAD.7K83G2G/2

description: (:tba)
DOI: 10.5519/qd.n57nejcn
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.17632/fgfcvzjm98.1
title: Data for: European charophyte evolution across the Cretaceous–Paleogene boundary

description: The supplementary data uploaded help to shed light into charophyte taxonomy in the Ibero-Armorican Island during the K/Pg crisis.
DOI: 10.5061/dryad.8mm06md/1
title: Dowding_Ebach_Occurrence_Devonian

description: Late Silurian and Devonian occurrence data for vertebrates, trilobites,and brachiopods
DOI: 10.5519/qd.5b6sibyg
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2630 records)
DOI: 10.5281/zenodo.3338361
title: Regensdorf-Geissberg/Gubrist - Schichtgenese und Landschaftsgeschichte – die geoarchäologischen Untersuchungen: Anhänge

description: Anhänge zu: <strong>David Brönnimann 2019, Schichtgenese und Landschaftsgeschichte – die geoarchäologischen Untersuchungen</strong> In: Beat Horisberger 2019, Keltische und römische Eliten im zürcherischen Furttal. Gräber, Strassen und Siedlungen von der Frühbronzezeit bis in die Neuzeit: Ergebnisse der Rettungsgrabungen 2009–2014 in Regensdorf-Geissberg/Gubrist. Monographien der Kantonsarchäologie Zürich 53 (2019) <strong>Inhalt Anhänge:</strong> <strong>G1:</strong> Factsheet mikromorphologische Untersuchung Profil P214 (M1-M5) <strong>G2:</strong> Factsheet mikromorphologische Untersuchung Profil P207 (M6-M7) <strong>G3:</strong> Factsheet mikromorphologische Untersuchung Profil P263 (M11-M12 und M14-M15) <strong>G4:</strong> Factsheet mikromorphologische Untersuchung Profil P348 (M21-M24) <strong>G5:</strong> Factsheet mikromorphologische Untersuchung Profil P507 (M31-M32) <strong>G6:</strong> Daten mikromorphologische Analyse (Datenbank)
DOI: 10.17632/vh7ffvvjt9.1
title: Data for: First evidence of microplastic contamination in the supraglacial debris of an Alpine glacier

description: Microplastic abundance in 6 supraglacial debris samples collected on On 20 July 2018 and 24 July 2018 on the Forni Glacier (Italian Alps, approximate coordinates of sampling location 46°12’30’’ N, 10°13’50’’ E, altitude 2580 m a.s.l.).
DOI: 10.17632/sfdmvyd7v4.1
title: Data for: Yunpiheluo decoction attenuates insulin resistance in ZDF rats by regulating liver miR-29a-3p

description: Raw data of RP-HPLC detection method for active constituents in lyophilized powder of Yunpiheluo
DOI: 10.25909/5d2dc2c8576b6
title: Amorim_Europe
DOI: 10.5281/zenodo.3338363
title: dictionaria/sidaama: Sidaama Dictionary

description: Yri, Kjell Magne and Pepper, Steve. 2019. Sidaama dictionary. Dictionaria 6. 1-3578 (Available online at https://dictionaria.clld.org/contributions/sidaama)
DOI: 10.5281/zenodo.3337233
title: Binary black-hole simulation SXS:BBH:2006

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3337238
title: Binary black-hole simulation SXS:BBH:1723

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3270773
title: Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments [dataset]

description: This dataset is related to "Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments" in IEEE RA-L,2019. Data Capture<br> ========================<br> Data is obtained by manually flying the UAV through the redwood forest environment using a FrSky Taranis (Plus) Digital Telemetry Radio System. In total, 81,674 frames were captured together with the flight behaviour that comprehends flights under and above the forest canopy, navigation inside caves and on river beds, lakes and mountains. Folder Structure<br> ========================<br> |-manual_0 - manual_5: sequences containing training data |-test_0 - sequences containing testing data Data Protection<br> ========================<br> Gathered by simulated flight using Microsoft AirSim (2019) and released in accordance with MSR Aerial Information and Robotics Simulator (AirSim) lisence, which is described in details bellow: The MIT License (MIT) MSR Aerial Informatics and Robotics Platform<br> MSR Aerial Informatics and Robotics Simulator (AirSim)<br> Copyright (c) Microsoft Corporation<br> All rights reserved.<br> MIT License Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the ""Software""), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:<br> The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.<br> THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
description: EPSRC/1750094
DOI: 10.5281/zenodo.3337249
title: Binary black-hole simulation SXS:BBH:1901

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3337250
title: Binary black-hole simulation SXS:BBH:1681

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.25919/5d2d364348171
title: Parkes observations for project P958 semester 2019APRS_47

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.3337251
title: Binary black-hole simulation SXS:BBH:1655

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3337672
title: BCdatabaser - 18s.nosematidae.none.2019-07-16.zip

description: Parameters: --marker-search-string 18S --taxonomic-range Nosematidae --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.3337673
title: BCdatabaser - 18s.nosematidae.none.2019-07-16.zip

description: Parameters: --marker-search-string 18S --taxonomic-range Nosematidae --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: 10.21227/5ky2-kw47
title: The Use of Extreme Value Theory for Forecasting Long-Term Substation Maximum Electricity Demand

description: This dataset contains daily maximum load data with the average demand, customer count and PV capacity at two substations Arkana and Muchea, Western Australia used in the accepted IEEE Transactions on Power Systemspaper titled “The Use of Extreme Value Theory for Forecasting Long-Term Substation Maximum Electricity Demand” by Li and Jones (2019). The dataset spans from 01/01/2008 to 30/06/2022, part history (01/01/2008 to 16/09/2018) and part forecast (17/09/2018 to 30/06/2022). The dataset is beneficial to various research such as long-term load forecast.
DOI: 10.21227/cmhx-8e70
title: The Use of Extreme Value Theory for Forecasting Long-Term Substation Maximum Electricity Demand

description: This dataset contains daily maximum load data with the average demand, customer count and PV capacity at two substations Arkana and Muchea, Western Australia used in the accepted IEEE Transactions on Power Systemspaper titled “The Use of Extreme Value Theory for Forecasting Long-Term Substation Maximum Electricity Demand” by Li and Jones (2019). The dataset spans from 01/01/2008 to 30/06/2022, part history (01/01/2008 to 16/09/2018) and part forecast (17/09/2018 to 30/06/2022). The dataset is beneficial to various research such as long-term load forecast.
DOI: 10.21227/f1yn-1523
title: The Use of Extreme Value Theory for Forecasting Long-Term Substation Maximum Electricity Demand

description: This dataset contains daily maximum load data with the average demand, customer count and PV capacity at two substations Arkana and Muchea, Western Australia used in the accepted IEEE Transactions on Power Systemspaper titled “The Use of Extreme Value Theory for Forecasting Long-Term Substation Maximum Electricity Demand” by Li and Jones (2019). The dataset spans from 01/01/2008 to 30/06/2022, part history (01/01/2008 to 16/09/2018) and part forecast (17/09/2018 to 30/06/2022). The dataset is beneficial to various research such as long-term load forecast.
DOI: 10.21227/ja3a-sn82
title: The Use of Extreme Value Theory for Forecasting Long-Term Substation Maximum Electricity Demand

description: This dataset contains daily maximum load data with the average demand, customer count and PV capacity at two substations Arkana and Muchea, Western Australia used in the accepted IEEE Transactions on Power Systemspaper titled “The Use of Extreme Value Theory for Forecasting Long-Term Substation Maximum Electricity Demand” by Li and Jones (2019). The dataset spans from 01/01/2008 to 30/06/2022, part history (01/01/2008 to 16/09/2018) and part forecast (17/09/2018 to 30/06/2022). The dataset is beneficial to various research such as long-term load forecast.
DOI: 10.21227/phy0-x409
title: The Use of Extreme Value Theory for Forecasting Long-Term Substation Maximum Electricity Demand

description: This dataset contains daily maximum load data with the average demand, customer count and PV capacity at two substations Arkana and Muchea, Western Australia used in the accepted IEEE Transactions on Power Systemspaper titled “The Use of Extreme Value Theory for Forecasting Long-Term Substation Maximum Electricity Demand” by Li and Jones (2019). The dataset spans from 01/01/2008 to 30/06/2022, part history (01/01/2008 to 16/09/2018) and part forecast (17/09/2018 to 30/06/2022). The dataset is beneficial to various research such as long-term load forecast.
DOI: 10.21227/y8yv-br35
title: The Use of Extreme Value Theory for Forecasting Long-Term Substation Maximum Electricity Demand

description: This dataset contains daily maximum load data with the average demand, customer count and PV capacity at two substations Arkana and Muchea, Western Australia used in the accepted IEEE Transactions on Power Systemspaper titled “The Use of Extreme Value Theory for Forecasting Long-Term Substation Maximum Electricity Demand” by Li and Jones (2019). The dataset spans from 01/01/2008 to 30/06/2022, part history (01/01/2008 to 16/09/2018) and part forecast (17/09/2018 to 30/06/2022). The dataset is beneficial to various research such as long-term load forecast.
DOI: 10.5281/zenodo.3338380
title: Supplementary dataset and source code for the paper "Using Weaker Consistency Models with Monitoring and Recovery for Improving Performance of Key-Value Stores"

description: Supplementary dataset and source code for the paper "Using Weaker Consistency Models with Monitoring and Recovery for Improving Performance of Key-Value Stores" submitted to Journal of the Brazilian Computer Society, LADC special issue.
DOI: 10.25387/g3.8325992.v2
title: Supplemental Material for Hoffert and Strome, 2019

description: Table S1. Table of complete MAT locus LOH screen data. <br>Table S2. Top hits identified in MAT locus LOH screen. <br>Table S3. Sector counts of the 217 SCDChet gene deletions analyzed in secondary <i>MET15</i> screen. <br>Table S4. GO Slim Mapper results for the 217 identified genes in the MAT locus screen. <br>Table S5. GO Slim Mapper results for the 100 identified genes in the <i>MET15</i> secondary screen. <br>Table S6. GO Slim Mapper and GO Term Finder results for the 91 genes identified in two or more related independent studies. <br>Table S7. Positional Gene Enrichment analysis of the 217 MAT Top Hits, 100 MAT + MET15 Top hits, and 91 genes identified in 2+ independent studies. <br>Table S8. Human homologs and their associated cancer types for genes identified by the MAT locus screen. <br>Table S9. Human homologs and their associated cancer types for genes identified by multiple independent studies. <br>Table S10. Positional Gene Enrichment analysis of genes identified by similar independent studies. <br>Figure S1. Visual representation of Positional Gene Enrichment data for enriched region on chromosome II.
DOI: 10.5281/zenodo.3337256
title: Binary black-hole simulation SXS:BBH:2051

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3337261
title: Binary black-hole simulation SXS:BBH:1947

description: Simulation of a black-hole binary system evolved by the SpEC code.